1433543 (mue07): Regional Specialities

Topics City and Country: Home(land); Clothing and Fashion; Festivity, Celebration, Party: Oktoberfest; Food and Beverage; Nature; Society: Traditions; Sports and Games: Sports; Vacation, Free Time, Traveling; Vacation, Free Time, Traveling: Munich

Time	Translation	Lexem/Gebärde		Mouth	Translation	Lexeme/Sign		Mouth	Moderator
Time	Translation	right hand	left hand	Mouth	Translation	right hand	left hand	Mouth	Moderator
00:00:00:00 00:00:00:20					You’re in for a surprise here, huh?
00:00:00:20 00:00:01:32						YOU1*
00:00:01:32 00:00:02:06
00:00:02:06 00:00:02:20						$GEST-TO-PONDER2^
00:00:02:20 00:00:02:46
00:00:02:46 00:00:03:44						$PROD*
00:00:03:44 00:00:04:34
00:00:04:34 00:00:05:36					One can go on so many trips.
00:00:05:36 00:00:06:03						$GEST-OFF1^
00:00:06:03 00:00:06:16
00:00:06:16 00:00:06:34							TRIP4	ausflug
00:00:06:34 00:00:06:38
00:00:06:38 00:00:06:43							$GEST-OFF1^*
00:00:06:43 00:00:07:07
00:00:07:07 00:00:08:01							MUCH1A*	vie{l}
00:00:08:01 00:00:08:06
00:00:08:06 00:00:08:18	Is Munich your home?						$GEST-OFF1^*
00:00:08:18 00:00:08:19
00:00:08:19 00:00:08:21		YOU1*
00:00:08:21 00:00:08:32
00:00:08:32 00:00:08:37		BIRTH1A^		heimat
00:00:08:37 00:00:09:01
00:00:09:01 00:00:09:05		MUNICH1A*		münchen
00:00:09:05 00:00:09:10
00:00:09:10 00:00:09:13		YOU1*
00:00:09:13 00:00:09:18
00:00:09:18 00:00:09:21		HERE1
00:00:09:21 00:00:09:23
00:00:09:23 00:00:09:27	Were you born in Munich?
00:00:09:27 00:00:10:04		YOU1*
00:00:10:04 00:00:10:22
00:00:10:22 00:00:10:27		BIRTH1A*		geburt
00:00:10:27 00:00:10:47
00:00:10:47 00:00:11:03		MUNICH1A*		münch{en}
00:00:11:03 00:00:11:09
00:00:11:09 00:00:11:15		YOU1
00:00:11:15 00:00:11:19
00:00:11:19 00:00:11:23	Just like me.
00:00:11:23 00:00:11:34		EQUAL8*
00:00:11:34 00:00:11:41
00:00:11:41 00:00:11:47		ALSO1A		auch	Yes, both of us.
00:00:11:47 00:00:12:06
00:00:12:06 00:00:12:07		I1
00:00:12:07 00:00:12:11
00:00:12:11 00:00:12:22		$GEST-OFF1^*					BOTH2A*
00:00:12:22 00:00:12:31							BOTH2A*
00:00:12:31 00:00:12:34
00:00:12:34 00:00:12:39					It’s easy to discuss this now.
00:00:12:39 00:00:12:43						CAN2A		kann
00:00:12:43 00:00:13:06
00:00:13:06 00:00:13:09						EASY-OR-LIGHT1*		leich{t}
00:00:13:09 00:00:13:16
00:00:13:16 00:00:13:31						DISCUSSION1A*		disku{ssion}
00:00:13:31 00:00:14:00	I don’t really know what I’m supposed to say about the surrounding area of my home.
00:00:14:00 00:00:14:07		$GEST-OFF1^
00:00:14:07 00:00:14:20
00:00:14:20 00:00:14:21		I1*
00:00:14:21 00:00:14:32
00:00:14:32 00:00:14:39		APARTMENT5*		wohn
00:00:14:39 00:00:14:46
00:00:14:46 00:00:15:10		AREA1A*
00:00:15:10 00:00:15:23
00:00:15:23 00:00:15:49		$GEST-OFF1^		[MG]	Let’s just talk about the sights in Munich.
00:00:15:49 00:00:16:06		$GEST-OFF1^		[MG]			TO-VISIT1*
00:00:16:06 00:00:16:07							TO-VISIT1*
00:00:16:07 00:00:16:21
00:00:16:21 00:00:16:27						MUNICH1A*		mü{nchen}
00:00:16:27 00:00:16:43
00:00:16:43 00:00:17:05						EASY1*		einfach
00:00:17:05 00:00:17:25
00:00:17:25 00:00:17:36						MUNICH1A*		mü{nchen}
00:00:17:36 00:00:18:04
00:00:18:04 00:00:18:22					There are a lot of sights here.
00:00:18:22 00:00:18:37							SIGHT1*	sehenswürdigkeit
00:00:18:37 00:00:18:49
00:00:18:49 00:00:19:16							MUCH1A*	vie{l}
00:00:19:16 00:00:19:26
00:00:19:26 00:00:19:38						THERE-IS3		gibt
00:00:19:38 00:00:19:41
00:00:19:41 00:00:20:06					The old town and the Marienplatz [Mary’s Square, Munich’s main square] and/
00:00:20:06 00:00:20:11							OLD3*	altstadt
00:00:20:11 00:00:20:21
00:00:20:21 00:00:20:29						CITY2
00:00:20:29 00:00:20:38
00:00:20:38 00:00:21:07						$GEST-OFF1^*
00:00:21:07 00:00:21:20
00:00:21:20 00:00:21:35	Yes.						BEAK3^*	marienplatz
00:00:21:35 00:00:21:39		YES1A*					BEAK3^*
00:00:21:39 00:00:21:41		YES1A*
00:00:21:41 00:00:22:14
00:00:22:14 00:00:22:20							BEAK3^
00:00:22:20 00:00:22:26
00:00:22:26 00:00:22:48							$GEST-OFF1^*
00:00:22:48 00:00:23:07
00:00:23:07 00:00:23:28						$NUM-ONE-TO-TEN1A:1d	LIKE3A*
00:00:23:28 00:00:23:36
00:00:23:36 00:00:23:45						$LIST1:1of1d
00:00:23:45 00:00:24:04	The Stachus, I mean the Karlsplatz [large square in central Munich, official name Karlsplatz, Stachus as unofficial name widely used].
00:00:24:04 00:00:24:11						$LIST1:2of2d
00:00:24:11 00:00:24:24		TO-MIX2^*		stachus		$LIST1:2of2d
00:00:24:24 00:00:24:25		TO-MIX2^*
00:00:24:25 00:00:24:30
00:00:24:30 00:00:24:44		PLACE6A				$INDEX1*
00:00:24:44 00:00:25:11
00:00:25:11 00:00:25:19		$ALPHA1:K		karlsplatz
00:00:25:19 00:00:25:24
00:00:25:24 00:00:25:28		PLACE6A*
00:00:25:28 00:00:25:34		PLACE6A*					$GEST-OFF1^*
00:00:25:34 00:00:25:38
00:00:25:38 00:00:26:04		$GEST-OFF1^*
00:00:26:04 00:00:26:16
00:00:26:16 00:00:26:17	Yes, the whole area around the Stachus.
00:00:26:17 00:00:26:18		TO-MIX2^*		stachus
00:00:26:18 00:00:26:21
00:00:26:21 00:00:26:26					Actually, anything close to the old city wall and its gates.
00:00:26:26 00:00:26:29		$GEST-OFF1^
00:00:26:29 00:00:26:38							AREA1A^
00:00:26:38 00:00:26:41
00:00:26:41 00:00:26:48						EVERYTHING1A*		all{es}
00:00:26:48 00:00:26:49		AREA1A^				EVERYTHING1A*		all{es}
00:00:26:49 00:00:27:08
00:00:27:08 00:00:27:13						$PROD*		[MG]
00:00:27:13 00:00:27:18
00:00:27:18 00:00:27:20		YES1A
00:00:27:20 00:00:27:25
00:00:27:25 00:00:27:35
00:00:27:35 00:00:27:41						WHERE1A*		wo
00:00:27:41 00:00:27:44
00:00:27:44 00:00:27:48							PAST-OR-BACK-THEN1*	frü{her}
00:00:27:48 00:00:28:04
00:00:28:04 00:00:28:18							OLD3*	alt
00:00:28:18 00:00:28:37
00:00:28:37 00:00:29:16						PLANE1^*		mauer
00:00:29:16 00:00:29:27
00:00:29:27 00:00:29:43							AREA1A*
00:00:29:43 00:00:30:01
00:00:30:01 00:00:30:05							WITH1B*	mit
00:00:30:05 00:00:30:24
00:00:30:24 00:00:30:33						TO-SHOOT1B^		tor
00:00:30:33 00:00:30:44
00:00:30:44 00:00:31:28							$PROD*
00:00:31:28 00:00:31:40
00:00:31:40 00:00:32:04						$GEST-OFF1^
00:00:32:04 00:00:32:15	Sendlinger Tor and Isartor [names of gates].					$GEST-OFF1^
00:00:32:15 00:00:32:25
00:00:32:25 00:00:32:27		$ALPHA1:S		sendlinger tor
00:00:32:27 00:00:32:33					Right, and Isartor and Karlstor, those three.
00:00:32:33 00:00:32:39		ARCH4^*
00:00:32:39 00:00:33:14							$ALPHA1:I	i{sartor}
00:00:33:14 00:00:33:15
00:00:33:15 00:00:33:23
00:00:33:23 00:00:33:25							$INDEX1*
00:00:33:25 00:00:33:30		$LIST1:2of2d					$INDEX1*
00:00:33:30 00:00:33:32		$LIST1:2of2d
00:00:33:32 00:00:33:39
00:00:33:39 00:00:33:44		ISAR1		isartor		$LIST1:1of1d
00:00:33:44 00:00:34:00		ISAR1
00:00:34:00 00:00:34:05						$LIST1:2of2d
00:00:34:05 00:00:34:08		ARCH4^*				$LIST1:2of2d
00:00:34:08 00:00:34:13
00:00:34:13 00:00:34:17						$INDEX1*
00:00:34:17 00:00:34:22
00:00:34:22 00:00:34:28							ISAR1*	isartor
00:00:34:28 00:00:34:29							ISAR1*	isartor
00:00:34:29 00:00:34:32
00:00:34:32 00:00:34:39		$GEST-OFF1^*
00:00:34:39 00:00:34:46						$LIST1:3of3d		un{d}
00:00:34:46 00:00:35:00
00:00:35:00 00:00:35:02
00:00:35:02 00:00:35:11						$INDEX1*
00:00:35:11 00:00:35:14		$LIST1:3of3d				$INDEX1*
00:00:35:14 00:00:35:18		$LIST1:3of3d
00:00:35:18 00:00:35:21
00:00:35:21 00:00:35:25							$ALPHA1:K	karlstor
00:00:35:25 00:00:35:36		$LIST1:4of4d		[MG]
00:00:35:36 00:00:35:40
00:00:35:40 00:00:36:00
00:00:36:00 00:00:36:21							$PROD*
00:00:36:21 00:00:36:31
00:00:36:31 00:00:36:44						$NUM-ONE-TO-TEN1A:3d		drei
00:00:36:44 00:00:36:47
00:00:36:47 00:00:36:49					There used to be four.
00:00:36:49 00:00:37:08						PAST-OR-BACK-THEN1*		früh
00:00:37:08 00:00:37:13
00:00:37:13 00:00:37:28						$LIST1:4of4d		vier
00:00:37:28 00:00:37:29
00:00:37:29 00:00:37:37					One doesn’t exist anymore.
00:00:37:37 00:00:37:38						$NUM-ONE-TO-TEN1A:6d*		eins
00:00:37:38 00:00:37:44
00:00:37:44 00:00:38:17						$LIST-TO-REMOVE1B:4of4d*
00:00:38:17 00:00:38:29
00:00:38:29 00:00:38:46	Why was it torn down?					$NUM-ONE-TO-TEN1A:3d
00:00:38:46 00:00:39:02		HOW-COME2*		wieso
00:00:39:02 00:00:39:09
00:00:39:09 00:00:39:23		$LIST-TO-REMOVE1B:4of4
00:00:39:23 00:00:39:30
00:00:39:30 00:00:39:34
00:00:39:34 00:00:39:42		$LIST1:4of4d*			The fourth gate was at Odeonsplatz.
00:00:39:42 00:00:40:02						$LIST1:4of4d		vier
00:00:40:02 00:00:40:09
00:00:40:09 00:00:40:11						$ALPHA1:O*		odeonsplatz
00:00:40:11 00:00:40:19
00:00:40:19 00:00:40:24							PLACE1
00:00:40:24 00:00:40:29
00:00:40:29 00:00:41:05						$INDEX1*
00:00:41:05 00:00:41:13	The gate was torn down?
00:00:41:13 00:00:41:20		MORE1^*
00:00:41:20 00:00:41:28
00:00:41:28 00:00:41:39		ARCH4^*		tor
00:00:41:39 00:00:41:44
00:00:41:44 00:00:42:00		OFF-OR-TO-REMOVE-STH1A		ab	#Name1 was told this during a guided city tour.
00:00:42:00 00:00:42:06		OFF-OR-TO-REMOVE-STH1A		ab		$INDEX1
00:00:42:06 00:00:42:23
00:00:42:23 00:00:42:26							THROUGH2A*	durch
00:00:42:26 00:00:42:37							THROUGH2A*	durch
00:00:42:37 00:00:42:43
00:00:42:43 00:00:42:48						$NAME		#name1
00:00:42:48 00:00:43:12
00:00:43:12 00:00:43:16						CITY2		stadtführer
00:00:43:16 00:00:43:27
00:00:43:27 00:00:43:30						TO-LEAD1A
00:00:43:30 00:00:43:37
00:00:43:37 00:00:44:05						TO-TELL3A*		erzählt
00:00:44:05 00:00:44:15
00:00:44:15 00:00:44:31							HE-SHE-IT2*
00:00:44:31 00:00:44:32
00:00:44:32 00:00:44:46					The gate had to go to make room for the construction of the Feldherrnhalle [Field Marshal’s Hall].		YOU-PLURAL1A
00:00:44:46 00:00:45:10
00:00:45:10 00:00:45:15						$LIST1:4of4d		vier
00:00:45:15 00:00:45:24
00:00:45:24 00:00:45:32						$LIST-TO-REMOVE1B:4of4		ab
00:00:45:32 00:00:45:40
00:00:45:40 00:00:46:03						REASON4B*		grund
00:00:46:03 00:00:46:11
00:00:46:11 00:00:46:15						TO-BUILD1*		bau
00:00:46:15 00:00:46:22
00:00:46:22 00:00:46:41						TO-PUT8
00:00:46:41 00:00:47:27
00:00:47:27 00:00:47:32						FIELD3		feldherrnhalle
00:00:47:32 00:00:47:45
00:00:47:45 00:00:48:07							MISTER1
00:00:48:07 00:00:48:19
00:00:48:19 00:00:48:29						HALL1A*
00:00:48:29 00:00:48:34
00:00:48:34 00:00:49:21						HIGH-RISE1^*
00:00:49:21 00:00:49:34
00:00:49:34 00:00:49:48							OFF1A*	ab
00:00:49:48 00:00:50:19
00:00:50:19 00:00:50:23					It was supposed to become more luxurious.
00:00:50:23 00:00:50:29						REASON4B*		grund
00:00:50:29 00:00:50:40
00:00:50:40 00:00:50:45							TO-WANT8	will
00:00:50:45 00:00:51:00
00:00:51:00 00:00:51:10							LUXURY1A	luxus
00:00:51:10 00:00:51:20
00:00:51:20 00:00:51:27						WAGGON1^		schiene
00:00:51:27 00:00:51:31
00:00:51:31 00:00:51:33					King Maximilian wanted the Maximilian street to be a real eye catcher, straight and magnificent, so the gate had to go.
00:00:51:33 00:00:51:36							THROUGH2A	durch
00:00:51:36 00:00:52:00
00:00:52:00 00:00:52:08						KING1A*		könig
00:00:52:08 00:00:52:21
00:00:52:21 00:00:52:33							$ALPHA1:M-A-X	maximilianstraße
00:00:52:33 00:00:52:35
00:00:52:35 00:00:52:38						$ALPHA2:X
00:00:52:38 00:00:52:49
00:00:52:49 00:00:53:19							$ALPHA1:I-M-L
00:00:53:19 00:00:53:34
00:00:53:34 00:00:53:42						STREET2
00:00:53:42 00:00:54:04
00:00:54:04 00:00:54:18						WAGGON1^*
00:00:54:18 00:00:54:49
00:00:54:49 00:00:55:03							IMAGINATION1A*
00:00:55:03 00:00:55:10
00:00:55:10 00:00:55:14							TO-WANT8*	will
00:00:55:14 00:00:55:19
00:00:55:19 00:00:55:20							$INDEX1*
00:00:55:20 00:00:55:30
00:00:55:30 00:00:55:35						MORE1*		mehr
00:00:55:35 00:00:55:44
00:00:55:44 00:00:56:07						TO-BE-EYE-CATCHING1		[MG]
00:00:56:07 00:00:56:15
00:00:56:15 00:00:56:20						THROUGH2A*		durch
00:00:56:20 00:00:56:39
00:00:56:39 00:00:58:02						ATMOSPHERE1*
00:00:58:02 00:00:58:23
00:00:58:23 00:00:59:00						AVENUE1
00:00:59:00 00:00:59:08
00:00:59:08 00:00:59:14						EQUAL1A^*		auch
00:00:59:14 00:00:59:18
00:00:59:18 00:00:59:20							$NUM-ONE-TO-TEN1A:1d	ein
00:00:59:20 00:00:59:28
00:00:59:28 00:00:59:31						CITY2		s{tadt}
00:00:59:31 00:00:59:40
00:00:59:40 00:01:00:03						TO-MATCH1*		pass ni{cht}
00:01:00:03 00:01:00:14
00:01:00:14 00:01:00:28							OFF1A*	ab
00:01:00:28 00:01:01:11
00:01:01:11 00:01:01:28					That’s why only three gates remain.
00:01:01:28 00:01:01:29						I2*
00:01:01:29 00:01:01:35
00:01:01:35 00:01:01:38						ONLY2A*		nur
00:01:01:38 00:01:01:43
00:01:01:43 00:01:02:10						$NUM-ONE-TO-TEN1A:4*		vier
00:01:02:10 00:01:02:13
00:01:02:13 00:01:02:48						$NUM-ONE-TO-TEN1A:3w*		drei
00:01:02:48 00:01:03:28
00:01:03:28 00:01:04:02					Other than that one can go see the Olympic Park/
00:01:04:02 00:01:04:07							TO-LOOK-AT3
00:01:04:07 00:01:04:13
00:01:04:13 00:01:04:17						$GEST-OFF1^
00:01:04:17 00:01:04:30
00:01:04:30 00:01:04:38						OLYMPIA1		olympiapark
00:01:04:38 00:01:04:45
00:01:04:45 00:01:05:02						OCCUPIED-OR-OWNED2^
00:01:05:02 00:01:05:09
00:01:05:09 00:01:05:33							PARK1A*
00:01:05:33 00:01:05:45
00:01:05:45 00:01:06:11	Yes, with the Olympic Tower.						$GEST-OFF1^*
00:01:06:11 00:01:06:12
00:01:06:12 00:01:06:17		YES1A
00:01:06:17 00:01:06:25
00:01:06:25 00:01:06:27						TO-VISIT1*
00:01:06:27 00:01:06:30
00:01:06:30 00:01:06:39		OLYMPIA1		olypmpiastab	That used to be important, the Olympic Games were held there.
00:01:06:39 00:01:06:41		OLYMPIA1				PAST-OR-BACK-THEN1*		frü{her}
00:01:06:41 00:01:06:43						PAST-OR-BACK-THEN1*		frü{her}
00:01:06:43 00:01:06:48
00:01:06:48 00:01:07:01						IMPORTANT1*		wich{tig}
00:01:07:01 00:01:07:07		ROUND-LONG2B^*				IMPORTANT1*		wich{tig}
00:01:07:07 00:01:07:15
00:01:07:15 00:01:07:24						OLYMPIA1		olympia
00:01:07:24 00:01:07:32
00:01:07:32 00:01:07:33							$GEST-OFF1^*
00:01:07:33 00:01:07:35		$GEST-OFF1^*
00:01:07:35 00:01:08:00
00:01:08:00 00:01:08:04
00:01:08:04 00:01:08:20
00:01:08:20 00:01:08:29					The Nymphenburg Palace.
00:01:08:29 00:01:08:45						THEN1A*		dann
00:01:08:45 00:01:09:16
00:01:09:16 00:01:09:24						$LIST1:3of3d
00:01:09:24 00:01:09:30	The Olympic Park was built in 1972.
00:01:09:30 00:01:09:32							$INDEX1
00:01:09:32 00:01:09:38
00:01:09:38 00:01:09:43		$INDEX1
00:01:09:43 00:01:09:46
00:01:09:46 00:01:10:04						TO-CLOSE2C		schlo{ss}
00:01:10:04 00:01:10:09
00:01:10:09 00:01:10:12		OLYMPIA1		olympiapark
00:01:10:12 00:01:10:19		OLYMPIA1				$NAME		nymphenburg
00:01:10:19 00:01:10:29
00:01:10:29 00:01:10:31		OCCUPIED-OR-OWNED2^
00:01:10:31 00:01:10:36		OCCUPIED-OR-OWNED2^
00:01:10:36 00:01:10:40
00:01:10:40 00:01:10:45							$GEST-OFF1^*
00:01:10:45 00:01:11:04		THROUGH2A		durch
00:01:11:04 00:01:11:26
00:01:11:26 00:01:11:34		$NUM-TEEN2A:9		neunzehnhundertzweiundsiebzig
00:01:11:34 00:01:11:41
00:01:11:41 00:01:12:06		$NUM-HUNDRED3
00:01:12:06 00:01:12:14
00:01:12:14 00:01:12:30		$NUM-ONE-TO-TEN1A:2d
00:01:12:30 00:01:12:37		$NUM-ONE-TO-TEN1A:2d
00:01:12:37 00:01:12:40
00:01:12:40 00:01:13:01		$NUM-TENS2A:7d*
00:01:13:01 00:01:13:17
00:01:13:17 00:01:13:23	World/
00:01:13:23 00:01:13:34		WORLD1*		w{elt}
00:01:13:34 00:01:13:47
00:01:13:47 00:01:14:02	The Olympic Games were held here in Munich, and the Olympic Park was built especially for this purpose as a large venue.
00:01:14:02 00:01:14:07		$INDEX1*
00:01:14:07 00:01:14:19
00:01:14:19 00:01:14:25		OLYMPIA1		olympia
00:01:14:25 00:01:14:34
00:01:14:34 00:01:14:38		HERE1
00:01:14:38 00:01:14:48
00:01:14:48 00:01:15:02		MUNICH1A*		münchen
00:01:15:02 00:01:15:08
00:01:15:08 00:01:15:15		HERE1
00:01:15:15 00:01:15:25
00:01:15:25 00:01:15:32		THEREFORE1
00:01:15:32 00:01:15:44
00:01:15:44 00:01:15:49		EXTRA1*		extra
00:01:15:49 00:01:16:07
00:01:16:07 00:01:16:16		TO-BUILD1		gebaut
00:01:16:16 00:01:16:23
00:01:16:23 00:01:17:06		AREA1A*
00:01:17:06 00:01:17:11
00:01:17:11 00:01:17:15		YES1A*
00:01:17:15 00:01:17:23					And it’s the only building in the world with a tent roof.
00:01:17:23 00:01:17:31		BIG3A*		groß
00:01:17:31 00:01:17:34						AND2A*		und
00:01:17:34 00:01:17:35
00:01:17:35 00:01:17:39
00:01:17:39 00:01:17:46		EVENT1*
00:01:17:46 00:01:18:01		EVENT1*					ALSO1A	auch
00:01:18:01 00:01:18:03							ALSO1A	auch
00:01:18:03 00:01:18:08
00:01:18:08 00:01:18:12
00:01:18:12 00:01:18:14							$COLOURS3A^*	nur
00:01:18:14 00:01:18:25		$$EXTRA-LING-ACT^
00:01:18:25 00:01:18:42							SOLE1	einzig
00:01:18:42 00:01:19:01
00:01:19:01 00:01:19:16						WORLD1		welt
00:01:19:16 00:01:19:22
00:01:19:22 00:01:19:37						WHAT1B		was
00:01:19:37 00:01:20:07
00:01:20:07 00:01:20:21						TENT2*		zel{t}dach
00:01:20:21 00:01:20:34
00:01:20:34 00:01:21:08						ROOF2B
00:01:21:08 00:01:21:13
00:01:21:13 00:01:21:17	Yes.
00:01:21:17 00:01:21:29		YES1A
00:01:21:29 00:01:21:30		YES1A				$PROD*
00:01:21:30 00:01:21:43						$PROD*
00:01:21:43 00:01:21:49
00:01:21:49 00:01:22:00
00:01:22:00 00:01:22:07					That doesn’t exist anywhere else, and one can even go and visit the roof.
00:01:22:07 00:01:22:12						DIFFERENT1*		an{ders}
00:01:22:12 00:01:22:17
00:01:22:17 00:01:22:28							NOT3A	nicht
00:01:22:28 00:01:22:33
00:01:22:33 00:01:23:13						THERE-IS3*		gib nicht{s}
00:01:23:13 00:01:23:23
00:01:23:23 00:01:23:26	That’s right.	$ORAL^		stimmt
00:01:23:26 00:01:23:31							$INDEX1*	un{d}
00:01:23:31 00:01:23:33
00:01:23:33 00:01:23:48
00:01:23:48 00:01:24:07						THERE-IS3*		gibt
00:01:24:07 00:01:24:18
00:01:24:18 00:01:24:25						OFFER1B		angebot
00:01:24:25 00:01:24:36
00:01:24:36 00:01:24:44						POSSIBLE1*		möglich
00:01:24:44 00:01:25:04
00:01:25:04 00:01:25:09						WHAT1B		was
00:01:25:09 00:01:25:27
00:01:25:27 00:01:25:34							TO-GO2A*
00:01:25:34 00:01:25:35
00:01:25:35 00:01:25:36							$INDEX1*
00:01:25:36 00:01:26:04
00:01:26:04 00:01:26:20						TENT2*		zeltdach
00:01:26:20 00:01:26:36
00:01:26:36 00:01:26:48						ROOF2B
00:01:26:48 00:01:27:17
00:01:27:17 00:01:27:36							$PROD*
00:01:27:36 00:01:28:04	Yes, one can walk around at the top.
00:01:28:04 00:01:28:13		YES2*
00:01:28:13 00:01:28:30
00:01:28:30 00:01:28:35		$PROD*
00:01:28:35 00:01:28:43
00:01:28:43 00:01:28:47		TO-HIKE2*		wandern
00:01:28:47 00:01:29:02		TO-HIKE2*		wandern
00:01:29:02 00:01:29:14
00:01:29:14 00:01:29:15	Have you been up there?
00:01:29:15 00:01:29:23		BEEN1*		gewesen	Yes, I’ve been there.
00:01:29:23 00:01:29:24
00:01:29:24 00:01:29:25						YES1A*
00:01:29:25 00:01:29:26
00:01:29:26 00:01:29:39		YOU1*
00:01:29:39 00:01:29:43
00:01:29:43 00:01:30:03						BEEN1		gew{esen}
00:01:30:03 00:01:30:04		$PROD*				BEEN1		gew{esen}
00:01:30:04 00:01:30:13		$PROD*
00:01:30:13 00:01:30:14
00:01:30:14 00:01:30:19						I1
00:01:30:19 00:01:30:22	Great.					I1
00:01:30:22 00:01:30:25
00:01:30:25 00:01:30:37		SUPER3*
00:01:30:37 00:01:30:44					Last year, no, two years ago, in 2008.
00:01:30:44 00:01:31:02						LAST3*		le{tztens}
00:01:31:02 00:01:31:09
00:01:31:09 00:01:31:15						YEAR2A*		ja{hr}
00:01:31:15 00:01:31:27	I haven’t done it yet.
00:01:31:27 00:01:31:30						I1
00:01:31:30 00:01:31:35
00:01:31:35 00:01:31:38		I1		hab nicht
00:01:31:38 00:01:31:41
00:01:31:41 00:01:32:06						$NUM-YEAR-BEFORE-NOW1:2		zwei ja{hr}
00:01:32:06 00:01:32:33						$NUM-YEAR-BEFORE-NOW1:2		zwei ja{hr}
00:01:32:33 00:01:32:44
00:01:32:44 00:01:33:03						$NUM-THOUSANDS1:2d*		zweitau{send}ach{t}
00:01:33:03 00:01:33:10
00:01:33:10 00:01:33:16						$NUM-ONE-TO-TEN1B:8d
00:01:33:16 00:01:33:26
00:01:33:26 00:01:33:31						$NUM-THOUSANDS1:2d		zweitau{send}ach{t}
00:01:33:31 00:01:33:36
00:01:33:36 00:01:33:46						$NUM-ONE-TO-TEN1B:8d
00:01:33:46 00:01:34:08
00:01:34:08 00:01:34:09							I1	ich
00:01:34:09 00:01:34:11
00:01:34:11 00:01:34:14						BEEN1		gew{esen}
00:01:34:14 00:01:34:24
00:01:34:24 00:01:34:31							TO-GO2A*
00:01:34:31 00:01:34:36
00:01:34:36 00:01:35:02					I can only recommend it; it’s really pretty and interesting to see everything from above through the glass.
00:01:35:02 00:01:35:09							TO-RECOMMEND1A	empfoh{len}
00:01:35:09 00:01:35:14
00:01:35:14 00:01:35:22							TO-RECOMMEND1B
00:01:35:22 00:01:35:33
00:01:35:33 00:01:35:39							YES1A
00:01:35:39 00:01:35:47
00:01:35:47 00:01:36:08							INTEREST1B	[MG]
00:01:36:08 00:01:36:16
00:01:36:16 00:01:36:37							$PROD*	[MG]
00:01:36:37 00:01:36:48
00:01:36:48 00:01:37:00						GLASS3*		glas
00:01:37:00 00:01:37:02
00:01:37:02 00:01:37:04	So one stands at the very top and just looks down?
00:01:37:04 00:01:37:08		HIGH4A*		hoch hoch
00:01:37:08 00:01:37:19						AREA1A
00:01:37:19 00:01:37:27
00:01:37:27 00:01:37:41						TO-GO1A*
00:01:37:41 00:01:37:45
00:01:37:45 00:01:37:47					Yes, it’s really high up; the world does become quite small.
00:01:37:47 00:01:37:49							$INDEX1
00:01:37:49 00:01:38:03
00:01:38:03 00:01:38:07							HIGH3A*	hoch
00:01:38:07 00:01:38:14		TO-LOOK-AT1*
00:01:38:14 00:01:38:22
00:01:38:22 00:01:38:27		A-WHOLE-LOT1^		[MG]
00:01:38:27 00:01:38:35		A-WHOLE-LOT1^		[MG]
00:01:38:35 00:01:38:46
00:01:38:46 00:01:39:23							$PROD*	da unten
00:01:39:23 00:01:40:20
00:01:40:20 00:01:40:41					Just walk around once and there then is an exit that leads you outside.
00:01:40:41 00:01:40:48						$PROD*
00:01:40:48 00:01:41:01
00:01:41:01 00:01:41:05						WITH1A		mit
00:01:41:05 00:01:41:39
00:01:41:39 00:01:41:46						BEGINNING1A		anfang
00:01:41:46 00:01:42:11
00:01:42:11 00:01:42:25							$PROD*
00:01:42:25 00:01:42:31
00:01:42:31 00:01:43:35						$PROD*		[MG]
00:01:43:35 00:01:43:46
00:01:43:46 00:01:44:05							EXIT1*	ausgang
00:01:44:05 00:01:44:15
00:01:44:15 00:01:44:34							OUTSIDE1*
00:01:44:34 00:01:44:49
00:01:44:49 00:01:45:14						THATS-ALL1B
00:01:45:14 00:01:45:34					From a couple of spots, one can also walk up to the peaks.
00:01:45:34 00:01:45:38							WITH1A*	mit
00:01:45:38 00:01:46:02
00:01:46:02 00:01:49:41						$PROD*
00:01:49:41 00:01:49:48	That’s it?					$PROD*
00:01:49:48 00:01:50:17
00:01:50:17 00:01:50:23		ONLY2A		nur
00:01:50:23 00:01:50:33
00:01:50:33 00:01:51:00		$PROD*		[MG]
00:01:51:00 00:01:52:00					Yes.
00:01:52:00 00:01:52:34					Yes.	THATS-ALL1A*
00:01:52:34 00:01:53:01					Before that, one can watch a movie inside.
00:01:53:01 00:01:53:08						BEFOREHAND1A*		vorher
00:01:53:08 00:01:53:12
00:01:53:12 00:01:53:18
00:01:53:18 00:01:53:28						ENTRANCE2A
00:01:53:28 00:01:53:35
00:01:53:35 00:01:53:40						TELEVISION1B		fernseher
00:01:53:40 00:01:54:00
00:01:54:00 00:01:54:27							$PROD*
00:01:54:27 00:01:54:41	The movie is about the construction of the stadium?
00:01:54:41 00:01:55:07							TO-TELL4*
00:01:55:07 00:01:55:14		MUCH1C		viel
00:01:55:14 00:01:55:22
00:01:55:22 00:01:55:34		TO-BUILD1		bau
00:01:55:34 00:01:55:37
00:01:55:37 00:01:55:40
00:01:55:40 00:01:55:41		HOW-QUESTION2*		wie
00:01:55:41 00:01:55:43					Exactly.
00:01:55:43 00:01:56:00							YES2
00:01:56:00 00:01:56:13							YES2
00:01:56:13 00:01:56:17		PROCEEDING1A
00:01:56:17 00:01:56:24
00:01:56:24 00:01:57:39					One can walk around and get informed about the history of everything with the movie.
00:01:57:39 00:01:58:02						HISTORY-OR-STORY3		geschichte
00:01:58:02 00:01:58:12
00:01:58:12 00:01:58:20						AND2A*		und
00:01:58:20 00:01:58:23
00:01:58:23 00:01:58:38						$PROD*
00:01:58:38 00:01:58:46
00:01:58:46 00:01:59:02						THATS-ALL1B		[MG]
00:01:59:02 00:01:59:13
00:01:59:13 00:01:59:24						EVERYTHING1A*
00:01:59:24 00:01:59:31
00:01:59:31 00:01:59:37						$GEST-OFF1^
00:01:59:37 00:01:59:41
00:01:59:41 00:01:59:49					My father paid for all of us.
00:01:59:49 00:02:00:10							FATHER1*	vater
00:02:00:10 00:02:00:21
00:02:00:21 00:02:00:24							ALL1A*	alle
00:02:00:24 00:02:00:32
00:02:00:32 00:02:00:39						TO-PAY6		bezahl
00:02:00:39 00:02:00:47
00:02:00:47 00:02:01:04							$INDEX1
00:02:01:04 00:02:01:12
00:02:01:12 00:02:01:16					We were three total, my sister included.
00:02:01:16 00:02:01:18							I2*
00:02:01:18 00:02:01:25
00:02:01:25 00:02:01:28						SISTER1A*		schw{ester}
00:02:01:28 00:02:01:38
00:02:01:38 00:02:01:39						I1*		ich
00:02:01:39 00:02:01:49
00:02:01:49 00:02:02:08							$NUM-NUMBER-OF-PEOPLE1:3d*	drei
00:02:02:08 00:02:02:12
00:02:02:12 00:02:02:21	Great.				Without mum, she’s afraid of heights.
00:02:02:21 00:02:02:28						WITHOUT1B*		ohne
00:02:02:28 00:02:02:30
00:02:02:30 00:02:02:37		GREAT1A^*
00:02:02:37 00:02:02:42		GREAT1A^*					MUM3	mama
00:02:02:42 00:02:02:45							MUM3	mama
00:02:02:45 00:02:03:03
00:02:03:03 00:02:03:23						CAN1*
00:02:03:23 00:02:03:31
00:02:03:31 00:02:03:44							FEAR1	an{gst}
00:02:03:44 00:02:04:00
00:02:04:00 00:02:04:01							HE-SHE-IT1
00:02:04:01 00:02:04:05
00:02:04:05 00:02:04:13							HIGH3A	höhenangst
00:02:04:13 00:02:04:20
00:02:04:20 00:02:04:30							FEAR1
00:02:04:30 00:02:04:38
00:02:04:38 00:02:05:02							HE-SHE-IT1
00:02:05:02 00:02:05:26
00:02:05:26 00:02:05:35						DONE1A
00:02:05:35 00:02:05:43
00:02:05:43 00:02:05:47					Then there’s Nymphenburg Palace.
00:02:05:47 00:02:06:02						$INDEX1
00:02:06:02 00:02:06:06
00:02:06:06 00:02:06:14						MOST1A
00:02:06:14 00:02:06:33
00:02:06:33 00:02:06:41						$LIST1:2of2d
00:02:06:41 00:02:06:49
00:02:06:49 00:02:07:02						$LIST1:3of3d
00:02:07:02 00:02:07:19
00:02:07:19 00:02:07:25						TO-CLOSE2C		schloss
00:02:07:25 00:02:07:36
00:02:07:36 00:02:08:02						$NAME		nymphenburg
00:02:08:02 00:02:08:19
00:02:08:19 00:02:08:37	Yes.						$GEST-OFF1^*
00:02:08:37 00:02:08:47		YES2					$GEST-OFF1^*
00:02:08:47 00:02:09:05		YES2
00:02:09:05 00:02:09:11
00:02:09:11 00:02:09:22						HEADING1^		schloss
00:02:09:22 00:02:09:31
00:02:09:31 00:02:09:46							$GEST-OFF1^*
00:02:09:46 00:02:10:06
00:02:10:06 00:02:10:12					What else is there in Munich?
00:02:10:12 00:02:10:32							TO-LIST1C*
00:02:10:32 00:02:10:43
00:02:10:43 00:02:11:10						AND2A*
00:02:11:10 00:02:11:32
00:02:11:32 00:02:11:36							MUNICH1B*	mün{chen}
00:02:11:36 00:02:11:46
00:02:11:46 00:02:12:09						STILL1A*		was noch
00:02:12:09 00:02:12:15
00:02:12:15 00:02:12:29							$GEST-OFF1^*
00:02:12:29 00:02:12:43
00:02:12:43 00:02:12:47					Ah yes, the Sea Life.
00:02:12:47 00:02:13:04							YOU1*
00:02:13:04 00:02:13:10
00:02:13:10 00:02:13:16							$GEST-ATTENTION1^
00:02:13:16 00:02:13:33
00:02:13:33 00:02:13:44						LAKE5		se{a} life
00:02:13:44 00:02:14:06
00:02:14:06 00:02:14:14						TO-LIVE1D*
00:02:14:14 00:02:14:27
00:02:14:27 00:02:14:44						$GEST-OFF1^
00:02:14:44 00:02:15:10
00:02:15:10 00:02:15:21						LAKE5		se{a} life
00:02:15:21 00:02:15:32	Yes, right.
00:02:15:32 00:02:15:37						TO-LIVE1D*
00:02:15:37 00:02:15:39
00:02:15:39 00:02:15:45		YES2
00:02:15:45 00:02:15:46		YES2				$GEST-OFF1^
00:02:15:46 00:02:16:01						$GEST-OFF1^
00:02:16:01 00:02:16:09
00:02:16:09 00:02:16:12		$GEST-OFF1^*
00:02:16:12 00:02:16:14
00:02:16:14 00:02:16:17							$ALPHA1:S-E	se{a}
00:02:16:17 00:02:16:19	With the fish.
00:02:16:19 00:02:16:21		FISH1*		fisch
00:02:16:21 00:02:16:26
00:02:16:26 00:02:16:30							$ALPHA1:L	l
00:02:16:30 00:02:16:32
00:02:16:32 00:02:16:38
00:02:16:38 00:02:16:41		$INDEX1
00:02:16:41 00:02:16:44
00:02:16:44 00:02:16:46						TO-LIVE1D*		live
00:02:16:46 00:02:16:49	That’s a rather new addition.					TO-LIVE1D*		live
00:02:16:49 00:02:17:05
00:02:17:05 00:02:17:06						$GEST-OFF1^*
00:02:17:06 00:02:17:12		NEW1A		neu
00:02:17:12 00:02:17:17
00:02:17:17 00:02:17:32		RECENTLY1B
00:02:17:32 00:02:17:34
00:02:17:34 00:02:17:39
00:02:17:39 00:02:17:45					One can visit that, too.
00:02:17:45 00:02:17:49						THEREFORE1*		da{rum}
00:02:17:49 00:02:18:01		IN-ADDITION1*				THEREFORE1*		da{rum}
00:02:18:01 00:02:18:03
00:02:18:03 00:02:18:05							$GEST-OFF1^*
00:02:18:05 00:02:18:11
00:02:18:11 00:02:18:12
00:02:18:12 00:02:18:17						CAN2A*		kann
00:02:18:17 00:02:18:18
00:02:18:18 00:02:18:25		$GEST-OFF1^
00:02:18:25 00:02:18:30		$GEST-OFF1^					TO-VISIT1	[MG]
00:02:18:30 00:02:18:37
00:02:18:37 00:02:18:40	It’s also in the Olympic Park, right.
00:02:18:40 00:02:18:47
00:02:18:47 00:02:18:49		OLYMPIA1*		olympiapark
00:02:18:49 00:02:19:00		OLYMPIA1*				$GEST-OFF1^
00:02:19:00 00:02:19:07
00:02:19:07 00:02:19:14		PARK1A
00:02:19:14 00:02:19:20
00:02:19:20 00:02:19:25		$INDEX1
00:02:19:25 00:02:19:35
00:02:19:35 00:02:19:36
00:02:19:36 00:02:19:41		$GEST-OFF1^*
00:02:19:41 00:02:19:45
00:02:19:45 00:02:20:05		$ORAL^		stimmt
00:02:20:05 00:02:20:23		$ORAL^		stimmt
00:02:20:23 00:02:20:43	There’s also the German museum.
00:02:20:43 00:02:21:02		$LIST1:2of2d*		und
00:02:21:02 00:02:21:18
00:02:21:18 00:02:21:26		GERMAN1		deutsch
00:02:21:26 00:02:21:33
00:02:21:33 00:02:21:43		MUSEUM1*		museum
00:02:21:43 00:02:22:00
00:02:22:00 00:02:22:21		$GEST-OFF1^*			That’s important for Germany.
00:02:22:21 00:02:22:25							GERMAN1*	deu{tschland}
00:02:22:25 00:02:22:31
00:02:22:31 00:02:22:37
00:02:22:37 00:02:22:45						IMPORTANT1*		wicht{ig}
00:02:22:45 00:02:22:49		$GEST-OFF1^*				IMPORTANT1*		wicht{ig}
00:02:22:49 00:02:23:00		$GEST-OFF1^*
00:02:23:00 00:02:23:02
00:02:23:02 00:02:23:05					It’s the biggest technical museum in all of Europe.		YOU1*
00:02:23:05 00:02:23:13
00:02:23:13 00:02:23:19							EUROPE1A*
00:02:23:19 00:02:23:31	It’s huge.
00:02:23:31 00:02:23:38						BIG3B*		groß
00:02:23:38 00:02:23:43		BIG7^*		[MG]		BIG3B*		groß
00:02:23:43 00:02:24:25
00:02:24:25 00:02:24:26							$INDEX1
00:02:24:26 00:02:24:30							$INDEX1
00:02:24:30 00:02:24:42
00:02:24:42 00:02:25:14						TECHNOLOGY1		technisch
00:02:25:14 00:02:25:33
00:02:25:33 00:02:25:46	Yes.						MUSEUM1	museum
00:02:25:46 00:02:26:05		YES1A
00:02:26:05 00:02:26:12
00:02:26:12 00:02:26:15
00:02:26:15 00:02:26:29	It has an area of 17,000 square meters. That’s enormous.
00:02:26:29 00:02:26:34							FROM-OR-BY-OR-OF3*	von
00:02:26:34 00:02:26:37
00:02:26:37 00:02:26:43							EUROPE1A*	europa
00:02:26:43 00:02:27:04		$NUM-TEEN2A:7d		siebzehntausend
00:02:27:04 00:02:27:18
00:02:27:18 00:02:27:30		$NUM-THOUSANDS1
00:02:27:30 00:02:28:05
00:02:28:05 00:02:28:18		SQUARE1*		quadratmeter
00:02:28:18 00:02:28:29		SQUARE1*		quadratmeter
00:02:28:29 00:02:28:39
00:02:28:39 00:02:28:47		$NUM-TEEN2A:7d		siebzehntausend
00:02:28:47 00:02:29:06
00:02:29:06 00:02:29:23		$NUM-THOUSANDS1*
00:02:29:23 00:02:29:33
00:02:29:33 00:02:29:47		BIG7		[MG]
00:02:29:47 00:02:30:03
00:02:30:03 00:02:30:13		ROUND12^		[MG]
00:02:30:13 00:02:30:19
00:02:30:19 00:02:30:26	The museum is close to Isartor square.
00:02:30:26 00:02:30:30		LOCATION1A*		bei
00:02:30:30 00:02:30:41					An incredible number of visitors come there.
00:02:30:41 00:02:31:02		$ALPHA1:I		isartorplatz
00:02:31:02 00:02:31:04							$INDEX1
00:02:31:04 00:02:31:05
00:02:31:05 00:02:31:11
00:02:31:11 00:02:31:18		ISAR1*
00:02:31:18 00:02:31:19		ISAR1*					MUCH1A*	vie{l}
00:02:31:19 00:02:31:24
00:02:31:24 00:02:31:25		PLACE6A
00:02:31:25 00:02:31:38		PLACE6A
00:02:31:38 00:02:31:40
00:02:31:40 00:02:32:48						MASS-OF-PEOPLE-ACTIVE1*		[MG]
00:02:32:48 00:02:33:04
00:02:33:04 00:02:33:08					Busloads of visitors from various different countries come there.
00:02:33:08 00:02:33:16						TO-SEE1*
00:02:33:16 00:02:33:38
00:02:33:38 00:02:33:43							BEEN1	gew{esen}
00:02:33:43 00:02:33:48
00:02:33:48 00:02:34:05						OFTEN3*		of{t}
00:02:34:05 00:02:34:09
00:02:34:09 00:02:34:13							$INDEX1
00:02:34:13 00:02:34:32
00:02:34:32 00:02:34:39						BUS1A		bus
00:02:34:39 00:02:34:46
00:02:34:46 00:02:35:17						INTERNATIONAL1		international
00:02:35:17 00:02:35:28
00:02:35:28 00:02:35:43						$PROD*
00:02:35:43 00:02:36:01
00:02:36:01 00:02:36:04					It’s an important museum.
00:02:36:04 00:02:36:05							$INDEX1
00:02:36:05 00:02:36:09
00:02:36:09 00:02:36:10						IMPORTANT1*		wi{chtig}
00:02:36:10 00:02:36:18
00:02:36:18 00:02:36:24							MUSEUM1*	mu{seum}
00:02:36:24 00:02:36:30
00:02:36:30 00:02:36:32					I’m sometimes surprised that there are so many people who apparently are interested in technology.
00:02:36:32 00:02:36:33							I1
00:02:36:33 00:02:36:39
00:02:36:39 00:02:36:44						$INDEX1		für
00:02:36:44 00:02:37:08
00:02:37:08 00:02:37:23							YES1A
00:02:37:23 00:02:37:32
00:02:37:32 00:02:38:08						LIKE3B		wie
00:02:38:08 00:02:38:13
00:02:38:13 00:02:38:20							$INDEX1
00:02:38:20 00:02:38:29
00:02:38:29 00:02:38:37							MUCH1A*	vie{l}
00:02:38:37 00:02:38:44
00:02:38:44 00:02:38:47							ALL1A*
00:02:38:47 00:02:39:02
00:02:39:02 00:02:39:08							INTEREST1A
00:02:39:08 00:02:39:14
00:02:39:14 00:02:39:32						TECHNOLOGY1		techni{k}
00:02:39:32 00:02:39:36
00:02:39:36 00:02:39:41							I2*
00:02:39:41 00:02:40:04
00:02:40:04 00:02:40:16							WEIRD-STRANGE2	[MG]
00:02:40:16 00:02:40:27
00:02:40:27 00:02:40:38							$GEST-OFF1^*
00:02:40:38 00:02:40:49	Yes.
00:02:40:49 00:02:41:08		YES2*					DONE1A*
00:02:41:08 00:02:41:09		YES2*
00:02:41:09 00:02:41:14
00:02:41:14 00:02:41:21					What else is there?
00:02:41:21 00:02:42:16							$GEST-OFF1^*
00:02:42:16 00:02:42:36
00:02:42:36 00:02:43:08						STILL1A*		was noch
00:02:43:08 00:02:43:18
00:02:43:18 00:02:43:23							$GEST-NO-IDEA1^*
00:02:43:23 00:02:44:01	The Gasteig [cultural center hosting the Munich Philharmonic Orchestra and others].
00:02:44:01 00:02:44:06		SPIKY-AT-THE-BOTTOM1^		gasteig
00:02:44:06 00:02:44:18		SPIKY-AT-THE-BOTTOM1^
00:02:44:18 00:02:44:27
00:02:44:27 00:02:45:08		$GEST-OFF1^*
00:02:45:08 00:02:45:23
00:02:45:23 00:02:45:29	The culture days were held there recently.
00:02:45:29 00:02:45:40		RECENTLY1B
00:02:45:40 00:02:46:03
00:02:46:03 00:02:46:10		DEAF1A*
00:02:46:10 00:02:46:19
00:02:46:19 00:02:46:24		CULTURE1A*		kulturtag
00:02:46:24 00:02:46:29
00:02:46:29 00:02:46:34		DAY1A*
00:02:46:34 00:02:46:44
00:02:46:44 00:02:47:03		$INDEX1
00:02:47:03 00:02:47:16
00:02:47:16 00:02:47:20		$GEST-OFF1^
00:02:47:20 00:02:47:30	There are many events there, but rarely anything for deaf people.
00:02:47:30 00:02:47:35		EVENT1*		veran{staltung}
00:02:47:35 00:02:47:41
00:02:47:41 00:02:48:00		$GEST-OFF1^*
00:02:48:00 00:02:48:06
00:02:48:06 00:02:48:08		FOR1*		für
00:02:48:08 00:02:48:24
00:02:48:24 00:02:48:35		DEAF1A		[MG]
00:02:48:35 00:02:48:43					It’s not really a sight, though.
00:02:48:43 00:02:49:09		$GEST-OFF1^		[MG]
00:02:49:09 00:02:49:18						$GEST-OFF1^*		[MG]
00:02:49:18 00:02:49:31
00:02:49:31 00:02:49:33						FOR1		für
00:02:49:33 00:02:49:38						FOR1		für
00:02:49:38 00:02:49:43
00:02:49:43 00:02:50:01		LANGUAGE4A*		programm
00:02:50:01 00:02:50:06
00:02:50:06 00:02:50:10		NOTHING1A*		[MG]
00:02:50:10 00:02:50:11		NOTHING1A*		[MG]			TO-SEE1*	sehenswürdigkeit
00:02:50:11 00:02:50:19
00:02:50:19 00:02:50:24		$GEST-OFF1^*		[MG]
00:02:50:24 00:02:50:32		$GEST-OFF1^*		[MG]
00:02:50:32 00:02:50:46
00:02:50:46 00:02:51:00						MASS-OF-PEOPLE-ACTIVE1*
00:02:51:00 00:02:51:23		$GEST-OFF1^*		[MG]
00:02:51:23 00:02:51:25
00:02:51:25 00:02:51:27
00:02:51:27 00:02:51:33					We forgot about the Oktoberfest.
00:02:51:33 00:02:51:40							$INDEX1
00:02:51:40 00:02:52:05
00:02:52:05 00:02:52:25						OKTOBERFEST1*		oktoberfest
00:02:52:25 00:02:52:46
00:02:52:46 00:02:53:08						MASS-OF-PEOPLE-ACTIVE1
00:02:53:08 00:02:53:13	Yes, obviously.
00:02:53:13 00:02:53:18					The Oktoberfest is a tradition; it’ll soon celebrate its 200th birthday.
00:02:53:18 00:02:53:21		$GEST-OFF1^*
00:02:53:21 00:02:53:26		$GEST-OFF1^*				OKTOBERFEST1*		oktoberfest
00:02:53:26 00:02:53:35						OKTOBERFEST1*		oktoberfest
00:02:53:35 00:02:53:36
00:02:53:36 00:02:53:46		CLEAR1B		klar
00:02:53:46 00:02:54:03
00:02:54:03 00:02:54:28						TRADITION4*		tradition
00:02:54:28 00:02:54:39
00:02:54:39 00:02:55:03						CELEBRATION1A*		fest
00:02:55:03 00:02:55:19
00:02:55:19 00:02:55:30							NEXT1
00:02:55:30 00:02:55:46
00:02:55:46 00:02:56:01							$NUM-HUNDREDS1:2	zweihundert
00:02:56:01 00:02:56:12
00:02:56:12 00:02:56:37							YEAR2A	jahr
00:02:56:37 00:02:57:36
00:02:57:36 00:02:57:42						BIRTHDAY7		geburtstagsfeier
00:02:57:42 00:02:57:49
00:02:57:49 00:02:58:22						TO-CELEBRATE1
00:02:58:22 00:02:58:34
00:02:58:34 00:02:58:37					This year is special because it’s the 200th anniversary.
00:02:58:37 00:02:58:40							THIS-TIME1	diese
00:02:58:40 00:02:58:48
00:02:58:48 00:02:59:13							YEAR2A	jahr
00:02:59:13 00:02:59:32
00:02:59:32 00:02:59:42						PARTICULARLY2		besonder
00:02:59:42 00:03:00:11
00:03:00:11 00:03:00:19							$NUM-HUNDREDS1:2	zweihundert
00:03:00:19 00:03:00:26
00:03:00:26 00:03:00:40							YEAR2A	jahr
00:03:00:40 00:03:01:00
00:03:01:00 00:03:01:17							OLD3	alt
00:03:01:17 00:03:01:41
00:03:01:41 00:03:02:21
00:03:02:21 00:03:02:37	Are you going to party for three weeks straight?
00:03:02:37 00:03:02:47		TO-COME1
00:03:02:47 00:03:03:12
00:03:03:12 00:03:03:27		PARTY1A*
00:03:03:27 00:03:03:34					Sure.
00:03:03:34 00:03:04:06						CLEAR1B*		klar
00:03:04:06 00:03:04:22
00:03:04:22 00:03:04:34		WEEK1A*		drei wochen
00:03:04:34 00:03:04:46
00:03:04:46 00:03:05:07		THROUGH1B		durch
00:03:05:07 00:03:05:21
00:03:05:21 00:03:05:33		PARTY1A			Three weeks is impossible.
00:03:05:33 00:03:05:43						TO-LOOK1*		drei wochen
00:03:05:43 00:03:06:04
00:03:06:04 00:03:06:21
00:03:06:21 00:03:06:32						CAN1*
00:03:06:32 00:03:06:37
00:03:06:37 00:03:07:03					I can’t do that.
00:03:07:03 00:03:07:05						I1
00:03:07:05 00:03:07:17
00:03:07:17 00:03:07:23					But a few times, yes, it’s a question of money as well.
00:03:07:23 00:03:07:43						OCCASIONALLY1*		[MG]
00:03:07:43 00:03:08:01
00:03:08:01 00:03:08:08						ALSO1A		auch
00:03:08:08 00:03:08:18
00:03:08:18 00:03:08:30							TO-COST2A
00:03:08:30 00:03:08:35
00:03:08:35 00:03:08:37					It’s incredibly expensive.
00:03:08:37 00:03:09:03						EXPENSIVE3*		[MG]
00:03:09:03 00:03:09:14	Yes.					EXPENSIVE3*		[MG]
00:03:09:14 00:03:09:21
00:03:09:21 00:03:09:23		YES2*
00:03:09:23 00:03:09:25							$INDEX1
00:03:09:25 00:03:09:27
00:03:09:27 00:03:09:36
00:03:09:36 00:03:09:45							EXPENSIVE1*	teu{er}
00:03:09:45 00:03:10:08
00:03:10:08 00:03:10:12							$INDEX1
00:03:10:12 00:03:10:16	The price for a liter of beer goes up every year.
00:03:10:16 00:03:10:31					That’s stupid.
00:03:10:31 00:03:10:38		LITRE-BEER1		[MG]		FUN2^*		schwachsinn
00:03:10:38 00:03:10:46
00:03:10:46 00:03:11:01							$INDEX1
00:03:11:01 00:03:11:16
00:03:11:16 00:03:11:27		$ORAL^		maß
00:03:11:27 00:03:11:38		BEER6		bier
00:03:11:38 00:03:11:43
00:03:11:43 00:03:11:48		PRICE1B
00:03:11:48 00:03:12:05
00:03:12:05 00:03:12:18		A-WHOLE-LOT2		[MG]
00:03:12:18 00:03:12:29
00:03:12:29 00:03:12:35		ABOVE2A^*		mehr mehr
00:03:12:35 00:03:12:49		ABOVE2A^*		mehr mehr	It gets more and more expensive always.
00:03:12:49 00:03:13:04
00:03:13:04 00:03:13:08		PRICE1B
00:03:13:08 00:03:13:10
00:03:13:10 00:03:13:16						ALWAYS1A*		immer
00:03:13:16 00:03:13:26
00:03:13:26 00:03:13:42							ABOVE3A^*
00:03:13:42 00:03:13:46
00:03:13:46 00:03:14:01					Every year they raise the prices, seriously, every year.
00:03:14:01 00:03:14:20							EVERYONE1A*	jed{es}
00:03:14:20 00:03:14:21
00:03:14:21 00:03:14:25							YEAR2A	jahr
00:03:14:25 00:03:14:42
00:03:14:42 00:03:14:49							ABOVE3A^*
00:03:14:49 00:03:15:04	Why does the price go up?						ABOVE3A^*
00:03:15:04 00:03:15:12
00:03:15:12 00:03:15:17						ALWAYS1A*		immer
00:03:15:17 00:03:15:18
00:03:15:18 00:03:15:22		WHY1		warum
00:03:15:22 00:03:15:25
00:03:15:25 00:03:15:29							$GEST-DECLINE1^*
00:03:15:29 00:03:15:36		ABOVE2A^*					$GEST-DECLINE1^*
00:03:15:36 00:03:15:38		ABOVE2A^*
00:03:15:38 00:03:15:42
00:03:15:42 00:03:15:47		$GEST-OFF1^*
00:03:15:47 00:03:16:00
00:03:16:00 00:03:16:12					I don’t know either, that’s just how it is.
00:03:16:12 00:03:16:14
00:03:16:14 00:03:17:03						$GEST-OFF1^
00:03:17:03 00:03:18:02
00:03:18:02 00:03:18:17	It used to be eight Mark [former German currency], now it’s like eight euros or something.
00:03:18:17 00:03:18:22							LIKE-THIS1A*	so
00:03:18:22 00:03:18:23
00:03:18:23 00:03:18:27		PAST-OR-BACK-THEN1		früher
00:03:18:27 00:03:18:36							SPECIFIC1*
00:03:18:36 00:03:18:37
00:03:18:37 00:03:18:45
00:03:18:45 00:03:19:03		$NUM-ONE-TO-TEN1A:8d*		acht
00:03:19:03 00:03:19:13
00:03:19:13 00:03:19:19		GERMAN-MARK1*		mark
00:03:19:19 00:03:19:28
00:03:19:28 00:03:19:33		$NUM-ONE-TO-TEN1A:8d*		acht
00:03:19:33 00:03:19:43
00:03:19:43 00:03:20:02		GERMAN-MARK1*		mark
00:03:20:02 00:03:20:08
00:03:20:08 00:03:20:16		NOW3*		jetzt
00:03:20:16 00:03:20:30
00:03:20:30 00:03:20:32		$NUM-ONE-TO-TEN1A:8d		acht
00:03:20:32 00:03:20:35
00:03:20:35 00:03:20:42		EURO1		euro
00:03:20:42 00:03:20:48
00:03:20:48 00:03:21:06		APPROXIMATELY1*
00:03:21:06 00:03:21:16
00:03:21:16 00:03:21:33		$ORAL^		ungefähr
00:03:21:33 00:03:21:45
00:03:21:45 00:03:22:26
00:03:22:26 00:03:22:35					There are so many visitors. They can afford raising the prices.
00:03:22:35 00:03:22:41							BUT1*	aber
00:03:22:41 00:03:22:48
00:03:22:48 00:03:23:05							TO-ACCOMPLISH1A*	schaffen
00:03:23:05 00:03:23:21
00:03:23:21 00:03:24:01						MASS-OF-PEOPLE-ACTIVE1*		[MG]
00:03:24:01 00:03:24:10
00:03:24:10 00:03:24:14						CAN2A		kann
00:03:24:14 00:03:24:22
00:03:24:22 00:03:24:29						PERFORMANCE1		leist
00:03:24:29 00:03:24:39
00:03:24:39 00:03:25:02							AREA1A*
00:03:25:02 00:03:25:17
00:03:25:17 00:03:25:21					The people are ready to pay that much to have a good time.
00:03:25:21 00:03:25:40						READY2A*		bereit
00:03:25:40 00:03:26:01
00:03:26:01 00:03:26:08						FOR1*
00:03:26:08 00:03:26:21
00:03:26:21 00:03:26:27						MOOD4		stimmung
00:03:26:27 00:03:26:43
00:03:26:43 00:03:27:26						AMBIANCE5
00:03:27:26 00:03:27:31
00:03:27:31 00:03:27:35					I mean, it’s basically world peace there.
00:03:27:35 00:03:27:40						LIKE-SAYING1		wie
00:03:27:40 00:03:28:01	Next year the smoking ban will be implemented, this year it’s still allowed but not next year anymore.
00:03:28:01 00:03:28:02							$INDEX1
00:03:28:02 00:03:28:13
00:03:28:13 00:03:28:16		TO-SMOKE1A		rauch
00:03:28:16 00:03:28:29						WORLD1		welt
00:03:28:29 00:03:28:35
00:03:28:35 00:03:28:36						PEACE1		frie{den}
00:03:28:36 00:03:28:46
00:03:28:46 00:03:28:49		PROHIBITED1		verbot
00:03:28:49 00:03:29:05		PROHIBITED1		verbot
00:03:29:05 00:03:29:10
00:03:29:10 00:03:29:17							AREA1A*
00:03:29:17 00:03:29:25		LAST1A		letzte			AREA1A*
00:03:29:25 00:03:29:41
00:03:29:41 00:03:29:43		$INDEX1
00:03:29:43 00:03:30:02
00:03:30:02 00:03:30:12		TO-SMOKE1A		rauch
00:03:30:12 00:03:30:19
00:03:30:19 00:03:30:25		ALLOWED1		darf
00:03:30:25 00:03:30:45
00:03:30:45 00:03:31:07		NEXT1		nächstes
00:03:31:07 00:03:31:13
00:03:31:13 00:03:31:15		YEAR2A*		jahr
00:03:31:15 00:03:31:22
00:03:31:22 00:03:31:26		TO-SMOKE1A		rauch	One needs to think about how that will go.
00:03:31:26 00:03:31:28						NOW3*		jetzt
00:03:31:28 00:03:31:29
00:03:31:29 00:03:31:36
00:03:31:36 00:03:31:38		PROHIBITED1		verbot
00:03:31:38 00:03:31:48		PROHIBITED1		verbot		TO-PONDER1		überlegen
00:03:31:48 00:03:31:49						TO-PONDER1		überlegen
00:03:31:49 00:03:32:09
00:03:32:09 00:03:32:15						HOW-QUESTION2*		wie
00:03:32:15 00:03:32:24
00:03:32:24 00:03:32:25						$INDEX4
00:03:32:25 00:03:33:28
00:03:33:28 00:03:33:49					I don’t mind it that much outside, but inside the beer tents, I dislike it.
00:03:33:49 00:03:34:10							$GEST-ATTENTION1^
00:03:34:10 00:03:34:16
00:03:34:16 00:03:34:24							OUTSIDE1	drau{ßen}
00:03:34:24 00:03:34:38
00:03:34:38 00:03:34:44							BIT2A*	bisschen
00:03:34:44 00:03:35:05	Yes, it’ll definitely be banned inside the halls.
00:03:35:05 00:03:35:08							NOT3B*	nicht
00:03:35:08 00:03:35:10
00:03:35:10 00:03:35:11							BAD2	schlimm
00:03:35:11 00:03:35:19		YES2					BAD2	schlimm
00:03:35:19 00:03:35:27
00:03:35:27 00:03:35:32						WHERE1A*		wo
00:03:35:32 00:03:35:45
00:03:35:45 00:03:36:03
00:03:36:03 00:03:36:09							BEER6*	bierzelt
00:03:36:09 00:03:36:11		ENTRANCE2A*					BEER6*
00:03:36:11 00:03:36:16		ENTRANCE2A*
00:03:36:16 00:03:36:19
00:03:36:19 00:03:36:29						TENT1*
00:03:36:29 00:03:36:36		HALL1B*		halle		TENT1*
00:03:36:36 00:03:36:42		HALL1B*
00:03:36:42 00:03:37:00
00:03:37:00 00:03:37:02		ENTRANCE2A*
00:03:37:02 00:03:37:05		ENTRANCE2A*					YES1A*
00:03:37:05 00:03:37:10							YES1A*
00:03:37:10 00:03:37:16
00:03:37:16 00:03:37:21		TO-SMOKE1A*
00:03:37:21 00:03:37:27
00:03:37:27 00:03:37:36		PROHIBITED1		darf nicht
00:03:37:36 00:03:37:42
00:03:37:42 00:03:38:00		YES1A
00:03:38:00 00:03:38:10					It’s not completely clear yet.
00:03:38:10 00:03:38:15							$GEST-OFF1^*
00:03:38:15 00:03:38:24
00:03:38:24 00:03:38:27						STILL1A*		noch
00:03:38:27 00:03:38:35
00:03:38:35 00:03:39:09						TO-TINKER1B^*
00:03:39:09 00:03:39:20	No, they agreed on it not too long ago.
00:03:39:20 00:03:39:25		NO1A		na
00:03:39:25 00:03:39:39		NO1A		na		CLEAR1D		ni{cht} klar
00:03:39:39 00:03:39:49
00:03:39:49 00:03:40:02		RECENTLY1B*
00:03:40:02 00:03:40:11
00:03:40:11 00:03:40:18		DECISION1		beschloss
00:03:40:18 00:03:40:19
00:03:40:19 00:03:40:35	This will be the last year. They’re planning the ban for next year.	NOW1		hier
00:03:40:35 00:03:41:05
00:03:41:05 00:03:41:16		LAST1A		letzte
00:03:41:16 00:03:41:41
00:03:41:41 00:03:41:44		TO-SMOKE1A*
00:03:41:44 00:03:42:00
00:03:42:00 00:03:42:10		ALLOWED1*		darf
00:03:42:10 00:03:42:18
00:03:42:18 00:03:42:34		NEXT1		nächstes
00:03:42:34 00:03:42:49
00:03:42:49 00:03:43:04		PROHIBITED3		jahr
00:03:43:04 00:03:43:27
00:03:43:27 00:03:43:39		PLAN2		geplant
00:03:43:39 00:03:43:45
00:03:43:45 00:03:44:04		YES2		[MG]
00:03:44:04 00:03:44:08
00:03:44:08 00:03:44:13	It was agreed upon recently.
00:03:44:13 00:03:44:23		DECISION1		beschlossen
00:03:44:23 00:03:44:33
00:03:44:33 00:03:44:44		RECENTLY1B
00:03:44:44 00:03:44:49
00:03:44:49 00:03:45:07		YES1A
00:03:45:07 00:03:45:19
00:03:45:19 00:03:45:33					I’m gobsmacked.	WEIRD-STRANGE1^*		baff
00:03:45:33 00:03:46:19					I’m gobsmacked.
00:03:46:19 00:03:47:01					Let’s just wait whether it’ll actually happen.
00:03:47:01 00:03:47:14						$GEST-DECLINE1^
00:03:47:14 00:03:47:49
00:03:47:49 00:03:48:02							TO-LIST1C^*	viel{leicht}
00:03:48:02 00:03:48:08
00:03:48:08 00:03:48:09							$INDEX1	kommt
00:03:48:09 00:03:48:19	Events where people aren’t allowed to smoke are weird, though.
00:03:48:19 00:03:48:25						TO-IGNORE6
00:03:48:25 00:03:48:26
00:03:48:26 00:03:48:28		EVENT1
00:03:48:28 00:03:48:40
00:03:48:40 00:03:48:46						OR5*		oder
00:03:48:46 00:03:49:03		LIGHTER2*	TO-SMOKE1A			OR5*		oder
00:03:49:03 00:03:49:08		LIGHTER2*	TO-SMOKE1A
00:03:49:08 00:03:49:14
00:03:49:14 00:03:49:28		PROHIBITED1*
00:03:49:28 00:03:50:03
00:03:50:03 00:03:50:09		$GEST-OFF1^*
00:03:50:09 00:03:50:32
00:03:50:32 00:03:50:40		DIFFERENT2		[MG]
00:03:50:40 00:03:51:19
00:03:51:19 00:03:51:21		$GEST-OFF1^*
00:03:51:21 00:03:51:26		$GEST-OFF1^*			There have not been any cigarette sellers inside the tents for one or two years already.
00:03:51:26 00:03:51:33
00:03:51:33 00:03:51:37							$INDEX1
00:03:51:37 00:03:51:45
00:03:51:45 00:03:52:04						ALREADY1B		scho{n}
00:03:52:04 00:03:52:12
00:03:52:12 00:03:52:18							BEFOREHAND1A*
00:03:52:18 00:03:52:27
00:03:52:27 00:03:52:29						$NUM-YEAR-BEFORE-NOW1:1d
00:03:52:29 00:03:52:33
00:03:52:33 00:03:52:39						$NUM-YEAR-BEFORE-NOW1:2d
00:03:52:39 00:03:52:45
00:03:52:45 00:03:53:02						ALREADY1B		scho{n}
00:03:53:02 00:03:53:10
00:03:53:10 00:03:53:14						NOT-ANYMORE1A*		nich{t} mehr
00:03:53:14 00:03:53:21
00:03:53:21 00:03:53:26						TO-SELL1		verka{ufen}
00:03:53:26 00:03:53:34
00:03:53:34 00:03:53:37							CIGARETTE1*
00:03:53:37 00:03:54:07
00:03:54:07 00:03:55:01						$PROD*
00:03:55:01 00:03:55:19
00:03:55:19 00:03:55:35						NOT-ANYMORE1A*		nicht mehr
00:03:55:35 00:03:55:49
00:03:55:49 00:03:56:10						ALREADY1B*		schon
00:03:56:10 00:03:56:24
00:03:56:24 00:03:56:29					What other sights are there in Munich?
00:03:56:29 00:03:56:34						WHAT1A*		was
00:03:56:34 00:03:56:40
00:03:56:40 00:03:56:46						END1^		noch
00:03:56:46 00:03:57:00
00:03:57:00 00:03:57:08						DIFFERENT1*		and{ere}
00:03:57:08 00:03:57:16
00:03:57:16 00:03:57:23							TO-SEE1	sehenswürdig{keit}
00:03:57:23 00:03:57:39
00:03:57:39 00:03:57:46						MUNICH1B*		münchen
00:03:57:46 00:03:58:05	The Church of Our Lady.
00:03:58:05 00:03:58:15							AREA1A*
00:03:58:15 00:03:58:16		WOMAN2A		frauenkirche			AREA1A*
00:03:58:16 00:03:58:20		WOMAN2A
00:03:58:20 00:03:58:37
00:03:58:37 00:03:58:38		CHURCH2A
00:03:58:38 00:03:59:00
00:03:59:00 00:03:59:16		PIPE2A^			The Church of Our Lady is important, too, that’s right.
00:03:59:16 00:03:59:19		PIPE2A^				WOMAN2A*		frauenkirche
00:03:59:19 00:03:59:24						WOMAN2A*
00:03:59:24 00:03:59:26
00:03:59:26 00:03:59:27		WOMAN2A		frauenkirche
00:03:59:27 00:03:59:28						CHURCH2A
00:03:59:28 00:03:59:32
00:03:59:32 00:03:59:37
00:03:59:37 00:03:59:43						IMPORTANT1*		wichtig
00:03:59:43 00:03:59:45
00:03:59:45 00:03:59:48		CHURCH2A
00:03:59:48 00:04:00:06
00:04:00:06 00:04:00:09							$INDEX1
00:04:00:09 00:04:00:11
00:04:00:11 00:04:00:21		PIPE2A^
00:04:00:21 00:04:00:22		PIPE2A^					RIGHT-OR-AGREED1B	stimmt
00:04:00:22 00:04:00:28
00:04:00:28 00:04:00:37		$GEST-OFF1^*
00:04:00:37 00:04:00:42
00:04:00:42 00:04:01:08
00:04:01:08 00:04:02:49
00:04:02:49 00:04:03:19	The victory angel on that column.
00:04:03:19 00:04:03:26		$LIST1:2of2d
00:04:03:26 00:04:03:42
00:04:03:42 00:04:03:43		$INDEX1
00:04:03:43 00:04:04:05
00:04:04:05 00:04:04:13		TO-TRIUMPH1		siegesstamm
00:04:04:13 00:04:04:37
00:04:04:37 00:04:05:17		ROUND-LONG2A^*
00:04:05:17 00:04:05:28
00:04:05:28 00:04:05:38		$GEST-TO-PONDER1^
00:04:05:38 00:04:05:49					The victory column, right.
00:04:05:49 00:04:06:03							YOU1*
00:04:06:03 00:04:06:06
00:04:06:06 00:04:06:09							$GEST-ATTENTION1^*
00:04:06:09 00:04:06:15		ANGEL1		engel
00:04:06:15 00:04:06:22
00:04:06:22 00:04:06:28
00:04:06:28 00:04:06:29							YOU1*
00:04:06:29 00:04:06:40		ROUND-LONG2A^*		stamm			YOU1*
00:04:06:40 00:04:07:06		ROUND-LONG2A^*		stamm
00:04:07:06 00:04:07:14
00:04:07:14 00:04:07:32							TO-TRIUMPH1*	sieg{es}säul
00:04:07:32 00:04:07:40
00:04:07:40 00:04:07:45							ROUND-LONG2A^*
00:04:07:45 00:04:08:05							ROUND-LONG2A^*
00:04:08:05 00:04:08:08
00:04:08:08 00:04:08:17					One can also visit the concentration camp in Dachau.
00:04:08:17 00:04:08:22						AND2A		und
00:04:08:22 00:04:08:27
00:04:08:27 00:04:08:30							YOU1*
00:04:08:30 00:04:08:42
00:04:08:42 00:04:09:06							DACHAU1	dachau
00:04:09:06 00:04:09:13
00:04:09:13 00:04:09:41							$ALPHA1:K-Z	k-z
00:04:09:41 00:04:09:49
00:04:09:49 00:04:10:02							$INDEX1
00:04:10:02 00:04:10:07
00:04:10:07 00:04:10:16					It’s close to Munich and part of the Jewish history.
00:04:10:16 00:04:10:19						CLOSE-BY1B*
00:04:10:19 00:04:10:32
00:04:10:32 00:04:10:33						MUNICH1A*		mü{nchen}
00:04:10:33 00:04:10:43
00:04:10:43 00:04:11:13						THERE1*
00:04:11:13 00:04:11:31
00:04:11:31 00:04:11:35							$GEST-OFF1^*
00:04:11:35 00:04:11:48
00:04:11:48 00:04:12:11							$ALPHA1:K-Z*	k-z
00:04:12:11 00:04:12:19
00:04:12:19 00:04:12:29							JEW1	jü{disch}
00:04:12:29 00:04:12:38
00:04:12:38 00:04:12:39							$GEST-OFF1^*
00:04:12:39 00:04:12:47
00:04:12:47 00:04:13:12						HISTORY-OR-STORY3		geschich{te}
00:04:13:12 00:04:13:29
00:04:13:29 00:04:13:36							SPECIFIC1
00:04:13:36 00:04:14:00
00:04:14:00 00:04:14:08							$GEST-OFF1^*
00:04:14:08 00:04:14:28
00:04:14:28 00:04:14:45					Or one can drive down to the Chiemsee, visit the palace and learn something about the history.
00:04:14:45 00:04:14:48						EXAMPLE1*
00:04:14:48 00:04:15:10
00:04:15:10 00:04:15:23							DIRECTION3^*
00:04:15:23 00:04:15:39
00:04:15:39 00:04:16:01							$ALPHA1:C	chiemsee
00:04:16:01 00:04:16:14
00:04:16:14 00:04:16:33						LAKE5*
00:04:16:33 00:04:17:03
00:04:17:03 00:04:17:07							$INDEX1
00:04:17:07 00:04:17:18
00:04:17:18 00:04:17:30	Yes, and one can visit the Fraueninsel [literally: women’s island, second largest island in the Chiemsee].					TO-CLOSE2C		schloss
00:04:17:30 00:04:17:31		YES1A*
00:04:17:31 00:04:17:32
00:04:17:32 00:04:17:47
00:04:17:47 00:04:18:00						HEADING1^
00:04:18:00 00:04:18:12		$GEST-OFF1^*				HEADING1^
00:04:18:12 00:04:18:15		$GEST-OFF1^*
00:04:18:15 00:04:18:30
00:04:18:30 00:04:18:33						HISTORY-OR-STORY3		geschichte
00:04:18:33 00:04:18:38		WOMAN2A		frau{en}insel
00:04:18:38 00:04:18:44
00:04:18:44 00:04:19:00
00:04:19:00 00:04:19:14		ISLAND2
00:04:19:14 00:04:19:16		ISLAND2					$GEST-OFF1^*
00:04:19:16 00:04:19:18							$GEST-OFF1^*
00:04:19:18 00:04:19:29
00:04:19:29 00:04:19:32					The Fraueninsel, exactly.
00:04:19:32 00:04:19:35							WOMAN2A*	fraueninsel
00:04:19:35 00:04:19:42
00:04:19:42 00:04:19:43		WOMAN2A		frau{en}insel
00:04:19:43 00:04:20:01							ISLAND2*
00:04:20:01 00:04:20:03
00:04:20:03 00:04:20:05
00:04:20:05 00:04:20:12							$INDEX1
00:04:20:12 00:04:20:22
00:04:20:22 00:04:20:24		ISLAND2
00:04:20:24 00:04:20:26
00:04:20:26 00:04:20:30					There’s a lot to learn about King Ludwig II and his history in different places.
00:04:20:30 00:04:20:33							PARTICULARLY1A	besondere
00:04:20:33 00:04:20:38		$GEST-OFF1^*					PARTICULARLY1A	besondere
00:04:20:38 00:04:20:48
00:04:20:48 00:04:21:01						HISTORY-OR-STORY3*		geschichte
00:04:21:01 00:04:21:05						HISTORY-OR-STORY3*		geschichte
00:04:21:05 00:04:21:07
00:04:21:07 00:04:21:09		YES1A
00:04:21:09 00:04:21:10
00:04:21:10 00:04:21:14							OVER-OR-ABOUT1*	über
00:04:21:14 00:04:21:24
00:04:21:24 00:04:21:30						KING1A*		könig
00:04:21:30 00:04:22:10
00:04:22:10 00:04:23:03							$ALPHA1:L-U-D-W-I-G	ludwig zwei
00:04:23:03 00:04:23:15
00:04:23:15 00:04:23:29							$NUM-TALLY-MARKS1:2
00:04:23:29 00:04:23:48
00:04:23:48 00:04:24:02							MUCH1A*	viel
00:04:24:02 00:04:24:08
00:04:24:08 00:04:24:26						$NUM-ONE-TO-TEN1A:1d	$PROD*
00:04:24:26 00:04:24:38
00:04:24:38 00:04:24:47						TO-SEE1*
00:04:24:47 00:04:25:07
00:04:25:07 00:04:25:12					In Füssen there’s also Neuschwanstein Castle.
00:04:25:12 00:04:25:16						$LIST1:2of2d		und
00:04:25:16 00:04:25:26
00:04:25:26 00:04:25:28						AND2A*
00:04:25:28 00:04:25:33
00:04:25:33 00:04:25:34							YOU1
00:04:25:34 00:04:26:10
00:04:26:10 00:04:26:38						$NAME		füssen
00:04:26:38 00:04:26:47
00:04:26:47 00:04:27:00							SPECIFIC1*
00:04:27:00 00:04:27:26
00:04:27:26 00:04:27:40						TO-CLOSE2C		schloss
00:04:27:40 00:04:28:02
00:04:28:02 00:04:28:10						NEW1A		neuschwanstein
00:04:28:10 00:04:28:23
00:04:28:23 00:04:28:29						STONE10B
00:04:28:29 00:04:28:40
00:04:28:40 00:04:28:42							$INDEX1
00:04:28:42 00:04:28:47	Yes.
00:04:28:47 00:04:29:11		YES2
00:04:29:11 00:04:29:17
00:04:29:17 00:04:29:24
00:04:29:24 00:04:29:29					It’s a fairytale castle that incredible amounts of visitors from all over the world come to see.
00:04:29:29 00:04:29:33						LIKE3B*		wie
00:04:29:33 00:04:29:41
00:04:29:41 00:04:29:47							TO-SEE1
00:04:29:47 00:04:30:08
00:04:30:08 00:04:30:19						FAIRY-TALE1*		märchen
00:04:30:19 00:04:30:31
00:04:30:31 00:04:30:42							TO-PET1B^*
00:04:30:42 00:04:31:25
00:04:31:25 00:04:31:38						HISTORY-OR-STORY3^*
00:04:31:38 00:04:32:02
00:04:32:02 00:04:32:08						TO-CLOSE2C		schloss
00:04:32:08 00:04:32:20
00:04:32:20 00:04:32:31						HEADING1^*
00:04:32:31 00:04:32:42
00:04:32:42 00:04:32:46							$INDEX1
00:04:32:46 00:04:33:07
00:04:33:07 00:04:33:13							BEAUTIFUL1A	schön
00:04:33:13 00:04:33:18
00:04:33:18 00:04:33:21							$INDEX1*
00:04:33:21 00:04:33:29
00:04:33:29 00:04:33:40						WORLD1		weltspitze
00:04:33:40 00:04:34:00
00:04:34:00 00:04:34:05						SPIKY1A
00:04:34:05 00:04:34:07
00:04:34:07 00:04:34:09							$INDEX1
00:04:34:09 00:04:34:22
00:04:34:22 00:04:34:48						MASS-OF-PEOPLE-ACTIVE1*
00:04:34:48 00:04:35:10	Yes, especially the Japanese love to go there by train; it’s incredible.
00:04:35:10 00:04:35:12		YES1A
00:04:35:12 00:04:35:28
00:04:35:28 00:04:35:31		JAPAN1*		japan
00:04:35:31 00:04:35:38
00:04:35:38 00:04:35:41		PRIMARILY1		[MG]
00:04:35:41 00:04:35:42		PRIMARILY1		[MG]
00:04:35:42 00:04:36:00
00:04:36:00 00:04:36:04		TRAIN2A*		zug
00:04:36:04 00:04:36:12
00:04:36:12 00:04:36:21		$INDEX1
00:04:36:21 00:04:36:36
00:04:36:36 00:04:37:02		JAPAN1*		japan
00:04:37:02 00:04:37:09					Yes.
00:04:37:09 00:04:37:10						YES1A*
00:04:37:10 00:04:37:17		PRIMARILY1		[MG]
00:04:37:17 00:04:37:18
00:04:37:18 00:04:37:21
00:04:37:21 00:04:37:24		$INDEX1*
00:04:37:24 00:04:37:25
00:04:37:25 00:04:37:45					Many go there.
00:04:37:45 00:04:38:02						MUCH1A*		viel
00:04:38:02 00:04:38:06
00:04:38:06 00:04:38:12						MASS-OF-PEOPLE-ACTIVE1*
00:04:38:12 00:04:38:30					Every year, more than a million people come.
00:04:38:30 00:04:38:32							TO-SAY1
00:04:38:32 00:04:38:38
00:04:38:38 00:04:39:02						EVERYONE1A*		jedes
00:04:39:02 00:04:39:06
00:04:39:06 00:04:39:15							YEAR2A*	jahr
00:04:39:15 00:04:39:25
00:04:39:25 00:04:39:31							OVER-OR-ABOUT1	über
00:04:39:31 00:04:39:36
00:04:39:36 00:04:39:39							$NUM-ONE-TO-TEN1A:1d	ein million
00:04:39:39 00:04:40:03
00:04:40:03 00:04:40:12						$NUM-MILLION1
00:04:40:12 00:04:40:23
00:04:40:23 00:04:40:29						TO-VISIT-OR-TO-ATTEND1A*		besuch
00:04:40:29 00:04:40:42
00:04:40:42 00:04:40:49						THERE1*
00:04:40:49 00:04:41:11
00:04:41:11 00:04:41:16					There’re always a lot of visitors.
00:04:41:16 00:04:41:23						SPIKY1A		spitz
00:04:41:23 00:04:41:49
00:04:41:49 00:04:42:04						GOOD1*		gut
00:04:42:04 00:04:42:13
00:04:42:13 00:04:42:19						TO-VISIT-OR-TO-ATTEND1A		besuch
00:04:42:19 00:04:42:33
00:04:42:33 00:04:42:41							$INDEX1
00:04:42:41 00:04:43:31
00:04:43:31 00:04:44:05					I wouldn’t recommend going there in the summer.
00:04:44:05 00:04:44:10							FOR1	für
00:04:44:10 00:04:44:15
00:04:44:15 00:04:44:23							SUMMER8B	sommer
00:04:44:23 00:04:44:32
00:04:44:32 00:04:44:41						$GEST-TO-PONDER1^
00:04:44:41 00:04:44:47
00:04:44:47 00:04:45:03							TO-RECOMMEND1B	empfohl
00:04:45:03 00:04:45:10
00:04:45:10 00:04:45:21							THERE1	dort
00:04:45:21 00:04:45:30
00:04:45:30 00:04:45:39							NOT3A	nicht
00:04:45:39 00:04:46:05	Many people come by.
00:04:46:05 00:04:46:13					One might end up queueing for a long time.
00:04:46:13 00:04:46:14		MASS-OF-PEOPLE-ACTIVE1
00:04:46:14 00:04:46:24		MASS-OF-PEOPLE-ACTIVE1				QUEUE-PERSONS1B*
00:04:46:24 00:04:46:48						QUEUE-PERSONS1B*
00:04:46:48 00:04:47:17
00:04:47:17 00:04:47:24					The queue goes down the entire mountain.
00:04:47:24 00:04:47:31						OVERALL1A*
00:04:47:31 00:04:47:35
00:04:47:35 00:04:47:41						ALREADY1A*		scho{n}
00:04:47:41 00:04:48:06
00:04:48:06 00:04:48:16						QUEUE-PERSONS1B*
00:04:48:16 00:04:48:27
00:04:48:27 00:04:49:30						$PROD*
00:04:49:30 00:04:50:08
00:04:50:08 00:04:50:41						QUEUE-PERSONS1B*
00:04:50:41 00:04:51:07
00:04:51:07 00:04:51:12					That’s what it’s like in summer; I’d suggest going in spring or, even better, in the fall.
00:04:51:12 00:04:51:17							SUMMER8B	sommer
00:04:51:17 00:04:51:23
00:04:51:23 00:04:51:28							MOST1A
00:04:51:28 00:04:51:32
00:04:51:32 00:04:51:40							$INDEX1
00:04:51:40 00:04:52:04
00:04:52:04 00:04:52:10							TO-RECOMMEND1B*	empfohl
00:04:52:10 00:04:52:13
00:04:52:13 00:04:52:15						YOU1*
00:04:52:15 00:04:52:28
00:04:52:28 00:04:52:37						SPRING1B		früh{ling}
00:04:52:37 00:04:52:43
00:04:52:43 00:04:52:47						AND2B*		und
00:04:52:47 00:04:53:02
00:04:53:02 00:04:53:10						AUTUMN5		herbst
00:04:53:10 00:04:53:15
00:04:53:15 00:04:53:28							TO-THERE1^
00:04:53:28 00:04:53:36
00:04:53:36 00:04:53:47							$GEST-DECLINE1^*	noch besser
00:04:53:47 00:04:54:16
00:04:54:16 00:04:55:22
00:04:55:22 00:04:55:39					Hm, what else is there?
00:04:55:39 00:04:55:45						STILL1A*		noch
00:04:55:45 00:04:56:16
00:04:56:16 00:04:56:38	There are many lakes in the Munich area.					AREA1A^*
00:04:56:38 00:04:56:45		MUCH1C		viel		AREA1A^*
00:04:56:45 00:04:56:46		MUCH1C		viel
00:04:56:46 00:04:57:03
00:04:57:03 00:04:57:21		LAKE1B*		see
00:04:57:21 00:04:57:25
00:04:57:25 00:04:57:28	There’s Lake Starnberg, Lake Ammer, Chiemsee and some more.
00:04:57:28 00:04:57:35
00:04:57:35 00:04:57:43		NUREMBERG1A^		starnberg{er} see
00:04:57:43 00:04:58:05
00:04:58:05 00:04:58:18		LAKE1B*			That’s convenient.
00:04:58:18 00:04:58:25
00:04:58:25 00:04:58:31							$GEST-DECLINE1^*
00:04:58:31 00:04:58:33
00:04:58:33 00:04:58:45		TO-BEAT1^		ammersee
00:04:58:45 00:04:59:02
00:04:59:02 00:04:59:04						TO-FIND-STH-GREAT3*
00:04:59:04 00:04:59:11		LAKE1B*				TO-FIND-STH-GREAT3*
00:04:59:11 00:04:59:13		LAKE1B*
00:04:59:13 00:04:59:23
00:04:59:23 00:04:59:27		$GEST-OFF1^*
00:04:59:27 00:04:59:28		$GEST-OFF1^*
00:04:59:28 00:04:59:36
00:04:59:36 00:04:59:40		$LIST1:2of2d
00:04:59:40 00:04:59:47
00:04:59:47 00:04:59:49		$ALPHA1:C*		chiemsee
00:04:59:49 00:05:00:08
00:05:00:08 00:05:00:16		LAKE1B*
00:05:00:16 00:05:00:27
00:05:00:27 00:05:00:35		$GEST^
00:05:00:35 00:05:00:42
00:05:00:42 00:05:01:30		EVERYWHERE1*		[MG]	There’s a lot to choose from if one wants to do something.
00:05:01:30 00:05:01:32
00:05:01:32 00:05:01:35						MUCH1A*		[MG]
00:05:01:35 00:05:01:38
00:05:01:38 00:05:01:41		MUCH1C		viel
00:05:01:41 00:05:01:43		MUCH1C		viel		AREA1A^*		[MG]
00:05:01:43 00:05:02:05						AREA1A^*		[MG]
00:05:02:05 00:05:02:12
00:05:02:12 00:05:02:16
00:05:02:16 00:05:02:17							$INDEX1
00:05:02:17 00:05:02:21
00:05:02:21 00:05:02:28						CAN2A		ka{nn}
00:05:02:28 00:05:02:42
00:05:02:42 00:05:03:02						DIVERSITY1*		[MG]
00:05:03:02 00:05:03:15
00:05:03:15 00:05:03:23							SELECTION1D*	aussu{chen}
00:05:03:23 00:05:03:30
00:05:03:30 00:05:03:42						POSSIBLE1*		möglich
00:05:03:42 00:05:03:49	Then there’re the alps and the Zugspitze.
00:05:03:49 00:05:04:08					One can go hiking.
00:05:04:08 00:05:04:09						TO-HIKE2		wander
00:05:04:09 00:05:04:14		NEXT1
00:05:04:14 00:05:04:17
00:05:04:17 00:05:04:32
00:05:04:32 00:05:04:40						$GEST-OFF1^*
00:05:04:40 00:05:04:47
00:05:04:47 00:05:05:07		$PROD*
00:05:05:07 00:05:05:13
00:05:05:13 00:05:05:32		ALPS1*		alp
00:05:05:32 00:05:05:39
00:05:05:39 00:05:06:23		$GEST-OFF1^
00:05:06:23 00:05:06:32					One can go skiing there.
00:05:06:32 00:05:06:33		TRAIN2A*		zugspitze
00:05:06:33 00:05:06:36						CLOSE-BY1^
00:05:06:36 00:05:06:37
00:05:06:37 00:05:06:46
00:05:06:46 00:05:07:00						SKI1		ski
00:05:07:00 00:05:07:07		SPIKY1A				SKI1		ski
00:05:07:07 00:05:07:10		SPIKY1A
00:05:07:10 00:05:07:19
00:05:07:19 00:05:07:26		$GEST-OFF1^*			In winter there’s a huge offer in skiing areas.
00:05:07:26 00:05:07:32		$GEST-OFF1^*				WINTER2		win{ter}
00:05:07:32 00:05:07:44
00:05:07:44 00:05:07:49						GOOD1*		[MG]
00:05:07:49 00:05:08:03
00:05:08:03 00:05:08:07
00:05:08:07 00:05:08:17						SKI1		ski
00:05:08:17 00:05:08:26
00:05:08:26 00:05:08:35						OFFER1B		angebot
00:05:08:35 00:05:08:49
00:05:08:49 00:05:09:16							OFF1A^
00:05:09:16 00:05:09:27
00:05:09:27 00:05:09:34							$GEST-OFF1^*
00:05:09:34 00:05:09:36
00:05:09:36 00:05:09:48					Austria isn’t far, and then one is already in Italy and can go swimming in the Lake Garda.
00:05:09:48 00:05:10:01						AUSTRIA1A		österreich
00:05:10:01 00:05:10:11
00:05:10:11 00:05:10:21						CLOSE-BY1^*
00:05:10:21 00:05:10:31
00:05:10:31 00:05:10:44						THERE1*
00:05:10:44 00:05:11:02
00:05:11:02 00:05:11:23							$GEST-OFF1^*
00:05:11:23 00:05:11:38
00:05:11:38 00:05:11:43						CLOSE-BY1A		nähe
00:05:11:43 00:05:12:02
00:05:12:02 00:05:12:17							ITALY1*	italien
00:05:12:17 00:05:12:28
00:05:12:28 00:05:12:39						TO-DRIVE3*		fahr
00:05:12:39 00:05:12:47
00:05:12:47 00:05:13:07						TO-SWIM1*		schwimmen
00:05:13:07 00:05:13:18
00:05:13:18 00:05:13:31							$GEST-OFF1^*
00:05:13:31 00:05:13:42
00:05:13:42 00:05:14:07	By car, it takes four or five hours to get to Lake Garda.
00:05:14:07 00:05:14:08						BUT1*
00:05:14:08 00:05:14:17
00:05:14:17 00:05:14:18		$ALPHA1:G-A-R-D-A		gardasee
00:05:14:18 00:05:14:22						CLOSE-BY1^*
00:05:14:22 00:05:14:27
00:05:14:27 00:05:14:33							$ALPHA1:G-A	gardasee
00:05:14:33 00:05:14:41
00:05:14:41 00:05:14:45
00:05:14:45 00:05:15:01						LAKE5
00:05:15:01 00:05:15:03		LAKE1B*				LAKE5
00:05:15:03 00:05:15:10		LAKE1B*
00:05:15:10 00:05:15:17					That’s convenient.
00:05:15:17 00:05:15:27						TO-FIND-STH-GREAT3*		[MG]
00:05:15:27 00:05:15:34		$NUM-ONE-TO-TEN1A:4*		vier stunde
00:05:15:34 00:05:15:40		$NUM-ONE-TO-TEN1A:4*		vier stunde			$GEST-OFF1^*
00:05:15:40 00:05:15:49
00:05:15:49 00:05:16:08		CAR3*		auto
00:05:16:08 00:05:16:09		CAR3*		auto
00:05:16:09 00:05:16:19
00:05:16:19 00:05:16:21		$NUM-ONE-TO-TEN1A:4*		vier
00:05:16:21 00:05:16:22		$NUM-ONE-TO-TEN1A:4*		vier
00:05:16:22 00:05:16:24
00:05:16:24 00:05:16:38		$NUM-ONE-TO-TEN1A:5*		fünf
00:05:16:38 00:05:16:47
00:05:16:47 00:05:17:11		$INDEX1		stunden
00:05:17:11 00:05:17:21
00:05:17:21 00:05:17:26		TO-DRIVE-A-CAR2		auto
00:05:17:26 00:05:17:36
00:05:17:36 00:05:17:38		$GEST^
00:05:17:38 00:05:18:23
00:05:18:23 00:05:18:31		$GEST-OFF1^*
00:05:18:31 00:05:18:43
00:05:18:43 00:05:19:09					Or one drives to Ulm to go to Legoland.
00:05:19:09 00:05:19:14						OR5*		oder
00:05:19:14 00:05:19:24
00:05:19:24 00:05:19:33						CLOSE-BY1^
00:05:19:33 00:05:19:43
00:05:19:43 00:05:20:08							$ALPHA1:U-L-#	ulm
00:05:20:08 00:05:20:15
00:05:20:15 00:05:20:21							$INDEX1
00:05:20:21 00:05:20:49
00:05:20:49 00:05:21:19						LEGO-BRICKS-$CANDIDATE-MUE69^		legoland
00:05:21:19 00:05:21:30
00:05:21:30 00:05:21:40							COUNTRY3A*
00:05:21:40 00:05:22:01
00:05:22:01 00:05:22:28							$GEST-OFF1^*
00:05:22:28 00:05:23:02
00:05:23:02 00:05:23:24							$ALPHA1:L-E-G*	lego
00:05:23:24 00:05:23:29
00:05:23:29 00:05:23:35					That’s also a nice trip and not too far.
00:05:23:35 00:05:23:36						GOOD1*		[MG]
00:05:23:36 00:05:23:46
00:05:23:46 00:05:24:03							BEAUTIFUL1A*	schön
00:05:24:03 00:05:24:15
00:05:24:15 00:05:24:31						TO-COME1*
00:05:24:31 00:05:24:46
00:05:24:46 00:05:25:06							$GEST-OFF1^*
00:05:25:06 00:05:25:12
00:05:25:12 00:05:25:18							NOT3A*	nicht
00:05:25:18 00:05:25:23
00:05:25:23 00:05:25:32							FAR1*	weit
00:05:25:32 00:05:25:35
00:05:25:35 00:05:26:01							$GEST-OFF1^*
00:05:26:01 00:05:26:22
00:05:26:22 00:05:28:12
00:05:28:12 00:05:28:28					What else.
00:05:28:28 00:05:28:38						$INDEX1*
00:05:28:38 00:05:28:45
00:05:28:45 00:05:30:43							AREA1F*
00:05:30:43 00:05:30:47
00:05:30:47 00:05:31:04					One can go to Freising.
00:05:31:04 00:05:31:12							$INDEX1
00:05:31:12 00:05:31:26
00:05:31:26 00:05:31:42						FREE7^*		freising
00:05:31:42 00:05:32:07
00:05:32:07 00:05:32:15							THERE1
00:05:32:15 00:05:32:18
00:05:32:18 00:05:32:22					There, one can visit the oldest beer brewery in the world.
00:05:32:22 00:05:32:39							TO-VISIT1*
00:05:32:39 00:05:32:46
00:05:32:46 00:05:32:49							$INDEX1*
00:05:32:49 00:05:33:11
00:05:33:11 00:05:33:19						WELL-KNOWN1A*		beka{nnt}
00:05:33:19 00:05:33:29
00:05:33:29 00:05:33:49							BEER6*	bier
00:05:33:49 00:05:34:02
00:05:34:02 00:05:34:04						$INDEX1
00:05:34:04 00:05:34:07
00:05:34:07 00:05:34:13							$GEST-TO-PONDER1^*
00:05:34:13 00:05:34:25
00:05:34:25 00:05:34:39							OLD3	älteste
00:05:34:39 00:05:35:21
00:05:35:21 00:05:35:31							BEER6	bierbrauerei
00:05:35:31 00:05:35:39
00:05:35:39 00:05:36:14						TO-CRANK1A^
00:05:36:14 00:05:36:22
00:05:36:22 00:05:36:38						WORLD1		der welt
00:05:36:38 00:05:36:46
00:05:36:46 00:05:37:05							$INDEX1
00:05:37:05 00:05:37:18
00:05:37:18 00:05:37:43					It’s called Weihenstephan.
00:05:37:43 00:05:38:09						BRAND2*		marke
00:05:38:09 00:05:38:41
00:05:38:41 00:05:39:29							$ALPHA1:W-E-H-E-N*	weihenstephan
00:05:39:29 00:05:39:37
00:05:39:37 00:05:39:48						TO-DRINK-FINE1^*
00:05:39:48 00:05:40:09
00:05:40:09 00:05:41:15							$ALPHA1:S
00:05:41:15 00:05:41:25
00:05:41:25 00:05:41:49	I know Weihenstephan, but I didn’t know they also produced it there.						$ALPHA1:W-E-H-E-N*	weihenstephan
00:05:41:49 00:05:42:01		$ALPHA1:W		weihenstephan
00:05:42:01 00:05:42:10
00:05:42:10 00:05:42:16		$ALPHA1:S
00:05:42:16 00:05:42:18		$ALPHA1:S
00:05:42:18 00:05:42:32
00:05:42:32 00:05:42:35		YES1A		ja aber
00:05:42:35 00:05:42:37		YES1A		ja aber	It’s there.
00:05:42:37 00:05:42:40
00:05:42:40 00:05:42:46							THERE1
00:05:42:46 00:05:43:08		$INDEX1		da			THERE1
00:05:43:08 00:05:43:09		$INDEX1		da
00:05:43:09 00:05:43:30
00:05:43:30 00:05:43:32							THERE1
00:05:43:32 00:05:43:38		TO-PRODUCE4*		produkt
00:05:43:38 00:05:43:44
00:05:43:44 00:05:43:45		I1
00:05:43:45 00:05:44:11
00:05:44:11 00:05:44:16		DONT-KNOW2		weiß nicht
00:05:44:16 00:05:44:19		DONT-KNOW2			That is the oldest one.
00:05:44:19 00:05:44:22
00:05:44:22 00:05:44:25							THERE1
00:05:44:25 00:05:44:26		I1
00:05:44:26 00:05:44:28
00:05:44:28 00:05:45:00
00:05:45:00 00:05:45:12							OLD3	ält{este}
00:05:45:12 00:05:45:17
00:05:45:17 00:05:45:29					There are two: the oldest brewery in the world and the oldest monastery with a brewery in Kelheim.
00:05:45:29 00:05:45:32							$NUM-ONE-TO-TEN1A:2d*	zwei
00:05:45:32 00:05:45:47
00:05:45:47 00:05:46:12						THIS-AND-THAT2^*
00:05:46:12 00:05:46:24
00:05:46:24 00:05:47:04							YOU1*
00:05:47:04 00:05:47:13
00:05:47:13 00:05:47:17							$INDEX1
00:05:47:17 00:05:47:31
00:05:47:31 00:05:47:35							OLD3	ält{este}
00:05:47:35 00:05:47:46
00:05:47:46 00:05:48:01							BEER6*	bierbrauer{ei}
00:05:48:01 00:05:48:09
00:05:48:09 00:05:48:22						TO-CRANK1A^
00:05:48:22 00:05:48:32
00:05:48:32 00:05:48:43						WORLD1		welt
00:05:48:43 00:05:49:09
00:05:49:09 00:05:49:25							NEXT-TO1A
00:05:49:25 00:05:49:41
00:05:49:41 00:05:50:09							OLD3	ält{este}
00:05:50:09 00:05:50:32
00:05:50:32 00:05:50:43						MONASTERY1		kloster
00:05:50:43 00:05:51:06
00:05:51:06 00:05:51:09							BEER6*	bier{brauerei}
00:05:51:09 00:05:51:17
00:05:51:17 00:05:51:33						TO-CRANK1A^
00:05:51:33 00:05:51:43
00:05:51:43 00:05:52:02						EXAMPLE1
00:05:52:02 00:05:52:07
00:05:52:07 00:05:52:13							YOU1*
00:05:52:13 00:05:52:17
00:05:52:17 00:05:52:26							$GEST-TO-PONDER1^
00:05:52:26 00:05:53:29
00:05:53:29 00:05:54:26							$ALPHA1:K-E-H-L-M	kehlheim
00:05:54:26 00:05:54:30
00:05:54:30 00:05:54:42					It lies directly by a river.
00:05:54:42 00:05:55:07						RIVER2*		fluss
00:05:55:07 00:05:55:24
00:05:55:24 00:05:55:29							LOCATION1A
00:05:55:29 00:05:55:33
00:05:55:33 00:05:55:35					That’s the oldest monastery with a brewery in the world.
00:05:55:35 00:05:55:36							$INDEX1
00:05:55:36 00:05:55:49
00:05:55:49 00:05:56:04							OLD3	ält{este}
00:05:56:04 00:05:56:18
00:05:56:18 00:05:56:30						MONASTERY1		kloster
00:05:56:30 00:05:57:07
00:05:57:07 00:05:57:12						TO-CRANK1A^		brau{erei}
00:05:57:12 00:05:57:19
00:05:57:19 00:05:57:30						WORLD1*		welt
00:05:57:30 00:05:57:38
00:05:57:38 00:05:57:42						$NUM-ONE-TO-TEN1A:2d*		zwei
00:05:57:42 00:05:57:48
00:05:57:48 00:05:58:49						TO-SEPARATE1C
00:05:58:49 00:05:59:21
00:05:59:21 00:05:59:45					Both of those are over a thousand years old.
00:05:59:45 00:06:00:05						OVER-OR-ABOUT1*		ü{ber}
00:06:00:05 00:06:00:12
00:06:00:12 00:06:00:17						ALREADY1A		schon
00:06:00:17 00:06:00:22
00:06:00:22 00:06:00:25							OVER-OR-ABOUT1*	über
00:06:00:25 00:06:00:33
00:06:00:33 00:06:00:40							$NUM-THOUSANDS1:1	taus{end}
00:06:00:40 00:06:00:47
00:06:00:47 00:06:01:03							YEAR2A	jahr
00:06:01:03 00:06:01:11
00:06:01:11 00:06:01:13							OLD3*	alt
00:06:01:13 00:06:01:21
00:06:01:21 00:06:01:33							BOTH2A
00:06:01:33 00:06:01:41
00:06:01:41 00:06:01:44							OVER-OR-ABOUT1*	über
00:06:01:44 00:06:02:03
00:06:02:03 00:06:02:16							$NUM-THOUSANDS1:1	taus{end}
00:06:02:16 00:06:02:41
00:06:02:41 00:06:03:19
00:06:03:19 00:06:03:29					The breweries in Munich aren’t that old.
00:06:03:29 00:06:03:33							MUSCLE3^*	[MG]
00:06:03:33 00:06:03:44
00:06:03:44 00:06:03:45							MUNICH1B*	mü{nchen}
00:06:03:45 00:06:04:03
00:06:04:03 00:06:04:16							NO1A*	nich{t}
00:06:04:16 00:06:04:42
00:06:04:42 00:06:04:47					The beer brands at the Oktoberfest aren’t that old.
00:06:04:47 00:06:05:01							BEER6	bier
00:06:05:01 00:06:05:07
00:06:05:07 00:06:05:18						TO-LIST1A*
00:06:05:18 00:06:05:27
00:06:05:27 00:06:05:39						OKTOBERFEST1*		oktoberfest
00:06:05:39 00:06:06:01
00:06:06:01 00:06:06:21						TO-LIST1A*		[MG]
00:06:06:21 00:06:06:30
00:06:06:30 00:06:06:40						SPECIFIC1*		[MG]
00:06:06:40 00:06:06:43
00:06:06:43 00:06:07:03					But the others can’t be sold at Oktoberfest. Only beers from Munich can be sold there.
00:06:07:03 00:06:07:11							THERE1*
00:06:07:11 00:06:07:19
00:06:07:19 00:06:07:22						STILL1A*		noch
00:06:07:22 00:06:07:33
00:06:07:33 00:06:07:45							OLD3	ält{este}
00:06:07:45 00:06:08:05
00:06:08:05 00:06:08:13							$INDEX1*
00:06:08:13 00:06:08:27
00:06:08:27 00:06:08:35						IN-ADDITION1^*		[MG]
00:06:08:35 00:06:08:47
00:06:08:47 00:06:09:07						FREE2^*		oktoberfest
00:06:09:07 00:06:09:08
00:06:09:08 00:06:09:24						CAN1*		[MG]
00:06:09:24 00:06:10:07
00:06:10:07 00:06:10:12						MUNICH1B*		mü{n}ch{en}
00:06:10:12 00:06:10:27
00:06:10:27 00:06:10:42							HEADING1^*
00:06:10:42 00:06:11:11
00:06:11:11 00:06:11:21						MUST1*		muss
00:06:11:21 00:06:11:43
00:06:11:43 00:06:12:08							NONE7^	[MG]
00:06:12:08 00:06:12:15
00:06:12:15 00:06:12:19							$GEST-OFF1^*
00:06:12:19 00:06:12:28
00:06:12:28 00:06:12:39	True.
00:06:12:39 00:06:12:45		YES1A
00:06:12:45 00:06:12:48
00:06:12:48 00:06:13:05	One can also go on a raft trip on the Isar.
00:06:13:05 00:06:13:13		AND2A*		und
00:06:13:13 00:06:13:18
00:06:13:18 00:06:13:22		ALSO1A
00:06:13:22 00:06:13:36
00:06:13:36 00:06:14:02		ISAR1		isarfloßfahrt
00:06:14:02 00:06:14:15
00:06:14:15 00:06:14:37		WAVE3^
00:06:14:37 00:06:15:02
00:06:15:02 00:06:15:18		$INDEX1			Right, that’s great.
00:06:15:18 00:06:15:23
00:06:15:23 00:06:15:28							RIGHT-OR-AGREED1B	sti{mmt}
00:06:15:28 00:06:15:41		ISAR1		isarfloßfahrt
00:06:15:41 00:06:15:46
00:06:15:46 00:06:16:01
00:06:16:01 00:06:16:02							$INDEX1
00:06:16:02 00:06:16:08
00:06:16:08 00:06:16:09		WAVE3^
00:06:16:09 00:06:16:15		WAVE3^					GREAT1A
00:06:16:15 00:06:16:22
00:06:16:22 00:06:16:24		$GEST^
00:06:16:24 00:06:16:44
00:06:16:44 00:06:17:01	Have you ever done that?
00:06:17:01 00:06:17:05
00:06:17:05 00:06:17:06		BEEN1		gewes
00:06:17:06 00:06:17:11		BEEN1		gewes	Yes, two times already.
00:06:17:11 00:06:17:16
00:06:17:16 00:06:17:17		WAVE3^*		fluss
00:06:17:17 00:06:17:18		WAVE3^*				STREAM1^		floß{fahrt}
00:06:17:18 00:06:17:26						STREAM1^		floß{fahrt}
00:06:17:26 00:06:17:29
00:06:17:29 00:06:17:40		YOU1
00:06:17:40 00:06:17:47						BEEN1		gewes
00:06:17:47 00:06:18:08
00:06:18:08 00:06:18:10						$NUM-ONE-TO-TEN1A:2		zweimal
00:06:18:10 00:06:18:14
00:06:18:14 00:06:18:29						TIMES3*
00:06:18:29 00:06:18:37
00:06:18:37 00:06:18:48					I was happy with it. I’d like to do it again.
00:06:18:48 00:06:19:03						TO-FIND-STH-GREAT3
00:06:19:03 00:06:19:07
00:06:19:07 00:06:19:12						BEAUTIFUL1A		schön
00:06:19:12 00:06:19:14
00:06:19:14 00:06:19:20						TO-WANT8		will
00:06:19:20 00:06:19:33
00:06:19:33 00:06:19:41						PROMPT1		noch mal
00:06:19:41 00:06:20:03
00:06:20:03 00:06:20:11	It has to be organized.
00:06:20:11 00:06:20:16		TO-ORGANISE2A*		organis{ieren}
00:06:20:16 00:06:20:20		TO-ORGANISE2A*		organis{ieren}	I haven’t been there in a long time.
00:06:20:20 00:06:20:28
00:06:20:28 00:06:20:30							LONG-TIME1B*	lan{g}
00:06:20:30 00:06:20:32		MUST1		muss			LONG-TIME1B*	lan{g}
00:06:20:32 00:06:20:36		MUST1		muss
00:06:20:36 00:06:20:46							NOT5*	nicht
00:06:20:46 00:06:21:03
00:06:21:03 00:06:21:06							PAST1^	mehr
00:06:21:06 00:06:21:16
00:06:21:16 00:06:21:17							I1
00:06:21:17 00:06:21:46
00:06:21:46 00:06:23:19
00:06:23:19 00:06:23:37					Besides the raft trip, what else is there?
00:06:23:37 00:06:23:42						STREAM1^		floßfahrt
00:06:23:42 00:06:24:05
00:06:24:05 00:06:24:13						STILL1A*		noch
00:06:24:13 00:06:24:21
00:06:24:21 00:06:24:27						$GEST-OFF1^
00:06:24:27 00:06:24:40
00:06:24:40 00:06:26:02							$GEST-TO-PONDER2^
00:06:26:02 00:06:26:09
00:06:26:09 00:06:26:12					Traditionally, in July, there’s always/
00:06:26:12 00:06:26:16						$GEST-OFF1^
00:06:26:16 00:06:26:38
00:06:26:38 00:06:27:06						TRADITION2A		trad{iti}on
00:06:27:06 00:06:27:10
00:06:27:10 00:06:27:14							$INDEX1
00:06:27:14 00:06:27:22
00:06:27:22 00:06:27:31						ALWAYS1A*		imm{er}
00:06:27:31 00:06:28:08
00:06:28:08 00:06:28:14							IF-OR-WHEN1A	wenn
00:06:28:14 00:06:28:24
00:06:28:24 00:06:28:35						MONTH1^
00:06:28:35 00:06:28:49
00:06:28:49 00:06:29:05	There’s the May festival.
00:06:29:05 00:06:29:10							TYPICAL1*	typ{isch}
00:06:29:10 00:06:29:16
00:06:29:16 00:06:29:28							JULY16B*	juli
00:06:29:28 00:06:29:31		MAY3A*		maifest			JULY16B*
00:06:29:31 00:06:29:39		MAY3A*
00:06:29:39 00:06:30:00							YOU1
00:06:30:00 00:06:30:09		CELEBRATION1D*
00:06:30:09 00:06:30:14
00:06:30:14 00:06:30:32		$GEST^
00:06:30:32 00:06:31:05
00:06:31:05 00:06:31:09		MAY3A*		maifest
00:06:31:09 00:06:31:27
00:06:31:27 00:06:31:31					Where they put up the Maypole, right.
00:06:31:31 00:06:31:42
00:06:31:42 00:06:31:46		CELEBRATION1D*
00:06:31:46 00:06:32:06		CELEBRATION1D*				MAYPOLE1		maibaum
00:06:32:06 00:06:32:16
00:06:32:16 00:06:32:22		YES2
00:06:32:22 00:06:32:39		YES2
00:06:32:39 00:06:33:01
00:06:33:01 00:06:33:15						MAYPOLE1		maibaum
00:06:33:15 00:06:33:38						MAYPOLE1		maibaum
00:06:33:38 00:06:33:42
00:06:33:42 00:06:34:02					What do they do in the summer again?
00:06:34:02 00:06:34:06						AND2A*		und
00:06:34:06 00:06:34:10
00:06:34:10 00:06:34:12							$INDEX1
00:06:34:12 00:06:34:23
00:06:34:23 00:06:34:29							BETWEEN1B^*	zwisch
00:06:34:29 00:06:34:37
00:06:34:37 00:06:34:44							SUMMER8B	sommer
00:06:34:44 00:06:35:01
00:06:35:01 00:06:35:05						BETWEEN1B^*
00:06:35:05 00:06:35:09
00:06:35:09 00:06:35:12						WHERE1B*		wo
00:06:35:12 00:06:35:17
00:06:35:17 00:06:35:20					This SportScheck run [German company selling sportswear].
00:06:35:20 00:06:35:48						TO-RUN1*		laufen
00:06:35:48 00:06:36:09
00:06:36:09 00:06:36:12						SPORTS1A*		s{port}
00:06:36:12 00:06:36:24
00:06:36:24 00:06:36:31							COMPANY1A	firma
00:06:36:31 00:06:36:41
00:06:36:41 00:06:36:46						SPORTS1A*		sport scheck
00:06:36:46 00:06:37:04
00:06:37:04 00:06:37:13						$ALPHA1:SCH
00:06:37:13 00:06:37:25
00:06:37:25 00:06:37:40						$GEST-OFF1^
00:06:37:40 00:06:38:15	That’s just a normal city run.					$GEST-OFF1^
00:06:38:15 00:06:38:20
00:06:38:20 00:06:38:33		TO-RUN1*		s{tadt}
00:06:38:33 00:06:38:36		TO-RUN1*		s{tadt}	It is a tradition in Munich, but it does also exist elsewhere.
00:06:38:36 00:06:38:41
00:06:38:41 00:06:38:47		CITY2		stadtlauf
00:06:38:47 00:06:39:06
00:06:39:06 00:06:39:07		TO-RUN1*
00:06:39:07 00:06:39:18						TRADITION2A		tradition
00:06:39:18 00:06:39:20
00:06:39:20 00:06:39:26
00:06:39:26 00:06:39:29		$GEST-OFF1^*
00:06:39:29 00:06:39:34		$GEST-OFF1^*				AREA1A*
00:06:39:34 00:06:39:35						AREA1A*
00:06:39:35 00:06:39:45
00:06:39:45 00:06:39:46							MUNICH1B	mü{nchen}
00:06:39:46 00:06:40:07
00:06:40:07 00:06:40:09							ALWAYS1A*	immer
00:06:40:09 00:06:40:31
00:06:40:31 00:06:40:48							EQUAL8*	[MG]
00:06:40:48 00:06:41:09
00:06:41:09 00:06:41:18							$GEST-DECLINE1^*
00:06:41:18 00:06:41:44
00:06:41:44 00:06:42:27
00:06:42:27 00:06:43:03					The May festival is more important - it doesn’t exist anywhere else in Germany.
00:06:43:03 00:06:43:07						IMPORTANT1*		wichtig
00:06:43:07 00:06:43:21
00:06:43:21 00:06:43:23							MAY3A	maifest
00:06:43:23 00:06:43:30
00:06:43:30 00:06:43:32						CELEBRATION1D*
00:06:43:32 00:06:44:00
00:06:44:00 00:06:44:06							NORTH1B*	sonst
00:06:44:06 00:06:44:10
00:06:44:10 00:06:44:24							AREA1F
00:06:44:24 00:06:44:28
00:06:44:28 00:06:44:30						THERE-IS3*		gibt nicht
00:06:44:30 00:06:44:47	Yes, the May festival. What else is there?					THERE-IS3*		gibt nicht
00:06:44:47 00:06:44:48
00:06:44:48 00:06:45:04		YES2*
00:06:45:04 00:06:45:28
00:06:45:28 00:06:46:10
00:06:46:10 00:06:46:15		MAY3A*		maifest
00:06:46:15 00:06:46:18
00:06:46:18 00:06:46:26		CELEBRATION1A*
00:06:46:26 00:06:48:16
00:06:48:16 00:06:48:20		STILL1A*		noch
00:06:48:20 00:06:48:39
00:06:48:39 00:06:49:14		$INDEX1*
00:06:49:14 00:06:50:16
00:06:50:16 00:06:52:42
00:06:52:42 00:06:53:10					What else?
00:06:53:10 00:06:53:12							$INDEX1
00:06:53:12 00:06:53:19
00:06:53:19 00:06:53:22						STILL1A*		noch
00:06:53:22 00:06:53:31
00:06:53:31 00:06:53:34					New Year’s Eve is also celebrated the same everywhere, carnival too.
00:06:53:34 00:06:54:03						TO-CELEBRATE1
00:06:54:03 00:06:54:17
00:06:54:17 00:06:54:29						NEW-YEARS-EVE1*		silves{ter}
00:06:54:29 00:06:54:44
00:06:54:44 00:06:55:08						$GEST-DECLINE1^*
00:06:55:08 00:06:55:28
00:06:55:28 00:06:55:45							EQUAL8*	[MG]
00:06:55:45 00:06:56:08
00:06:56:08 00:06:56:26						FASCHING4*		fasching
00:06:56:26 00:06:56:43
00:06:56:43 00:06:57:11						TO-CELEBRATE1
00:06:57:11 00:06:57:31
00:06:57:31 00:06:57:42							EQUAL8*	[MG]
00:06:57:42 00:06:58:10
00:06:58:10 00:06:58:27							$GEST-DECLINE1^*
00:06:58:27 00:06:59:20
00:06:59:20 00:07:01:36
00:07:01:36 00:07:04:00					What else?	$GEST-TO-PONDER1^*		was sonst
00:07:04:00 00:07:04:04					What else?	$GEST-TO-PONDER1^*		was sonst	Just imagine having a friend from Berlin visiting you two for a week. What things would you really want to show them and do together in the Munich area?
00:07:04:04 00:07:14:35
00:07:14:35 00:07:14:41					Were I to give a tour/
00:07:14:41 00:07:14:48							WOULD-BE1	wä{re}
00:07:14:48 00:07:14:49
00:07:14:49 00:07:15:05						I2*
00:07:15:05 00:07:15:22
00:07:15:22 00:07:15:35						TO-LEAD1A		führen
00:07:15:35 00:07:15:45
00:07:15:45 00:07:16:03							$INDEX1*
00:07:16:03 00:07:17:17
00:07:17:17 00:07:17:28					If friends, um/		WOULD-BE1*	wäre
00:07:17:28 00:07:17:35
00:07:17:35 00:07:17:44							$INDEX1*
00:07:17:44 00:07:18:10
00:07:18:10 00:07:18:15							IF-OR-WHEN1A
00:07:18:15 00:07:18:33
00:07:18:33 00:07:19:01						FRIEND7		freunde
00:07:19:01 00:07:19:36
00:07:19:36 00:07:20:03					Well, if someone from the North or from another country came to visit, I would suggest/
00:07:20:03 00:07:20:10							NORTH1B	nord
00:07:20:10 00:07:20:15
00:07:20:15 00:07:20:25							AREA1F
00:07:20:25 00:07:20:36
00:07:20:36 00:07:20:37						NEVER-BEFORE3		noch nie
00:07:20:37 00:07:20:49
00:07:20:49 00:07:21:02						DIFFERENT1		and{ers}
00:07:21:02 00:07:21:10
00:07:21:10 00:07:21:16							COUNTRY3B*	land
00:07:21:16 00:07:21:31
00:07:21:31 00:07:21:47							TO-COME1*
00:07:21:47 00:07:22:11
00:07:22:11 00:07:22:12							I2
00:07:22:12 00:07:22:23
00:07:22:23 00:07:22:27							TO-RECOMMEND1B*	empfohlen
00:07:22:27 00:07:22:42
00:07:22:42 00:07:23:00						TO-SHOW1A		zei{gen}
00:07:23:00 00:07:23:16
00:07:23:16 00:07:23:31						$LIST1:1of1d*
00:07:23:31 00:07:23:37
00:07:23:37 00:07:23:40					They would have to be from somewhere else, though.
00:07:23:40 00:07:23:43						FOR1*		für
00:07:23:43 00:07:24:01
00:07:24:01 00:07:24:22						BEYOND1*		außerhalb
00:07:24:22 00:07:24:37
00:07:24:37 00:07:24:43						IMPORTANT1*		wichtig
00:07:24:43 00:07:25:05
00:07:25:05 00:07:26:12					I’d recommend Neuschwanstein Castle.
00:07:26:12 00:07:26:21						TO-CLOSE2C		schloss
00:07:26:21 00:07:26:29
00:07:26:29 00:07:26:36						NEW1A		neuschwa{n}stein
00:07:26:36 00:07:26:44
00:07:26:44 00:07:27:04						STONE10B
00:07:27:04 00:07:27:15
00:07:27:15 00:07:27:19							$INDEX1
00:07:27:19 00:07:27:27
00:07:27:27 00:07:27:35					That’s close to Füssen.
00:07:27:35 00:07:27:40						$NAME		füssen
00:07:27:40 00:07:27:47
00:07:27:47 00:07:28:05						CLOSE-BY1A
00:07:28:05 00:07:28:13
00:07:28:13 00:07:28:26							$INDEX1
00:07:28:26 00:07:28:43
00:07:28:43 00:07:29:05					Then, the concentration camp Dachau.
00:07:29:05 00:07:29:29						$LIST1:2of2d*
00:07:29:29 00:07:29:37
00:07:29:37 00:07:30:01						DACHAU2*		dachau
00:07:30:01 00:07:30:11
00:07:30:11 00:07:30:24						$ALPHA1:K-Z*		k-z
00:07:30:24 00:07:30:30
00:07:30:30 00:07:30:45						$INDEX1*
00:07:30:45 00:07:31:01
00:07:31:01 00:07:31:14	Ah well, that’s so dramatic.
00:07:31:14 00:07:31:18		$GEST-OFF1^*
00:07:31:18 00:07:31:29
00:07:31:29 00:07:31:30		BEING-FRUSTRATED1*
00:07:31:30 00:07:31:37		BEING-FRUSTRATED1*				$LIST1:2of2d
00:07:31:37 00:07:31:43
00:07:31:43 00:07:31:44		$GEST^		dramat{isch}
00:07:31:44 00:07:32:05		$GEST^		dramat{isch}
00:07:32:05 00:07:32:22
00:07:32:22 00:07:32:48					If the person thinks it’s interesting, why not?
00:07:32:48 00:07:33:08						$LIST1:3of3d
00:07:33:08 00:07:33:18
00:07:33:18 00:07:33:23						IF-OR-WHEN1A*		wenn
00:07:33:23 00:07:33:31
00:07:33:31 00:07:33:38						ON-PERSON1^*
00:07:33:38 00:07:34:01
00:07:34:01 00:07:34:14						TENSION-INTERNAL1		[MG]
00:07:34:14 00:07:34:20
00:07:34:20 00:07:34:25						$GEST-OFF1^*
00:07:34:25 00:07:34:28
00:07:34:28 00:07:34:31					One can leave the decision to them.
00:07:34:31 00:07:34:37						TO-DECIDE1A*		entscheiden
00:07:34:37 00:07:34:43
00:07:34:43 00:07:34:45							IF-OR-WHEN1A*	wenn
00:07:34:45 00:07:35:01
00:07:35:01 00:07:35:08							QUESTION1	frag
00:07:35:08 00:07:35:11
00:07:35:11 00:07:35:16						$GEST-OFF1^
00:07:35:16 00:07:35:27
00:07:35:27 00:07:35:34							NEED1*	bedarf
00:07:35:34 00:07:35:39
00:07:35:39 00:07:35:45						$INDEX1*
00:07:35:45 00:07:36:00
00:07:36:00 00:07:36:08						AND2A*
00:07:36:08 00:07:36:12
00:07:36:12 00:07:36:16					Then definitely a trip to Chiemsee and/
00:07:36:16 00:07:36:22						AND2A*		und
00:07:36:22 00:07:36:27
00:07:36:27 00:07:36:32						$LIST1:3of3d
00:07:36:32 00:07:36:40
00:07:36:40 00:07:36:43							$ALPHA1:C*	chiemsee
00:07:36:43 00:07:37:02
00:07:37:02 00:07:37:12						LAKE5*
00:07:37:12 00:07:37:23
00:07:37:23 00:07:37:30							TRIP4	ausflug
00:07:37:30 00:07:37:33
00:07:37:33 00:07:38:19							$GEST-OFF1^*
00:07:38:19 00:07:38:29
00:07:38:29 00:07:38:32						AND7B		und
00:07:38:32 00:07:39:04	That’s a lot of driving though, from here to there and back again.
00:07:39:04 00:07:39:07		VERY6*		[MG]
00:07:39:07 00:07:39:09							$INDEX1*
00:07:39:09 00:07:39:10
00:07:39:10 00:07:39:14
00:07:39:14 00:07:40:13		$PROD*
00:07:40:13 00:07:40:29					But one has a week time.
00:07:40:29 00:07:40:43						LIKE-HOW1B*		wie
00:07:40:43 00:07:40:45
00:07:40:45 00:07:40:48						LIKE3B*
00:07:40:48 00:07:41:11
00:07:41:11 00:07:41:12						$GEST-TO-PONDER1^*
00:07:41:12 00:07:41:16						$GEST-TO-PONDER1^*
00:07:41:16 00:07:41:20
00:07:41:20 00:07:41:24		VERY6*
00:07:41:24 00:07:41:31
00:07:41:31 00:07:41:39							WEEK1A*	eine woche
00:07:41:39 00:07:41:44
00:07:41:44 00:07:41:49						$NUM-ONE-TO-TEN1B:7d		sieben
00:07:41:49 00:07:42:00
00:07:42:00 00:07:42:04
00:07:42:04 00:07:42:08						DAY1B*		tage
00:07:42:08 00:07:42:11
00:07:42:11 00:07:42:12					One can just relax about it.
00:07:42:12 00:07:42:24						LOOSE1		locker
00:07:42:24 00:07:42:33
00:07:42:33 00:07:42:38	Hm, that’s true.					$GEST-OFF1^
00:07:42:38 00:07:42:45		YES1A
00:07:42:45 00:07:43:01
00:07:43:01 00:07:43:13		RIGHT-OR-AGREED1B		stimmt
00:07:43:13 00:07:43:38
00:07:43:38 00:07:44:04					Just as a relaxed day trip, in the evening one can go to Hofbräuhaus to party.
00:07:44:04 00:07:44:07							TRIP4*
00:07:44:07 00:07:44:13
00:07:44:13 00:07:44:22						DAY1B*		tagesausflug
00:07:44:22 00:07:44:33
00:07:44:33 00:07:44:48							TRIP4*
00:07:44:48 00:07:45:07
00:07:45:07 00:07:45:25						LOOSE1		locker
00:07:45:25 00:07:45:29
00:07:45:29 00:07:45:46							$GEST-OFF1^*
00:07:45:46 00:07:46:11
00:07:46:11 00:07:46:17						EVENING1*		aben{d}
00:07:46:17 00:07:46:26
00:07:46:26 00:07:46:28						TO-CELEBRATE1*
00:07:46:28 00:07:46:37
00:07:46:37 00:07:46:43							TO-RECOMMEND1B	empfo{hlen}
00:07:46:43 00:07:47:00
00:07:47:00 00:07:47:07							$ALPHA1:H	hofhaus
00:07:47:07 00:07:47:18
00:07:47:18 00:07:47:25							WARM2B^
00:07:47:25 00:07:47:35
00:07:47:35 00:07:47:45						HOUSE1A*
00:07:47:45 00:07:47:47
00:07:47:47 00:07:48:05	Yes, to the party at the Hofbräuhaus, right.
00:07:48:05 00:07:48:08						TO-CELEBRATE1*		[MG]
00:07:48:08 00:07:48:15		YES2
00:07:48:15 00:07:48:19
00:07:48:19 00:07:48:26		$ALPHA1:H		h-b
00:07:48:26 00:07:48:27		$ALPHA1:H		h-b
00:07:48:27 00:07:48:31
00:07:48:31 00:07:48:34					The Hofbräuhaus is close to the city center; I’d recommend it to everyone who likes to party.
00:07:48:34 00:07:48:35		$ALPHA1:B
00:07:48:35 00:07:48:39
00:07:48:39 00:07:48:45							$INDEX1
00:07:48:45 00:07:49:00
00:07:49:00 00:07:49:05							$ALPHA1:H	h-b
00:07:49:05 00:07:49:06		PARTY1A					$ALPHA1:H
00:07:49:06 00:07:49:11
00:07:49:11 00:07:49:16							$ALPHA1:B
00:07:49:16 00:07:49:17
00:07:49:17 00:07:49:28
00:07:49:28 00:07:49:31		RIGHT-OR-AGREED1A
00:07:49:31 00:07:49:37		RIGHT-OR-AGREED1A					$INDEX1
00:07:49:37 00:07:49:39							$INDEX1
00:07:49:39 00:07:50:01
00:07:50:01 00:07:50:09						CLOSE-BY2B
00:07:50:09 00:07:50:30
00:07:50:30 00:07:50:37						CITY2		stadtmitte
00:07:50:37 00:07:50:42
00:07:50:42 00:07:50:47						MIDDLE2A*
00:07:50:47 00:07:51:04
00:07:51:04 00:07:51:09						CLOSE-BY2B
00:07:51:09 00:07:51:19	Or go to a beer garden to drink beer.
00:07:51:19 00:07:51:28						TO-CELEBRATE1*		[MG]
00:07:51:28 00:07:51:37
00:07:51:37 00:07:51:38		BEER3*		biergarten
00:07:51:38 00:07:51:44							TO-RECOMMEND1B	empfohl
00:07:51:44 00:07:51:48
00:07:51:48 00:07:52:12							COME-HERE1*
00:07:52:12 00:07:52:15							COME-HERE1*
00:07:52:15 00:07:52:23
00:07:52:23 00:07:52:24							$GEST-OFF1^*
00:07:52:24 00:07:52:33		GARDEN2
00:07:52:33 00:07:52:42
00:07:52:42 00:07:52:49		$GEST^
00:07:52:49 00:07:53:01
00:07:53:01 00:07:53:03					Right, to show the beer culture.
00:07:53:03 00:07:53:14
00:07:53:14 00:07:53:28							THERE1*
00:07:53:28 00:07:53:31
00:07:53:31 00:07:53:38		TO-DRINK1
00:07:53:38 00:07:53:47
00:07:53:47 00:07:53:48						TO-SHOW1A		zei{gen}
00:07:53:48 00:07:54:05		BEER6
00:07:54:05 00:07:54:08
00:07:54:08 00:07:54:11
00:07:54:11 00:07:54:22		$GEST^
00:07:54:22 00:07:54:25		$GEST^					BEER6*	bier
00:07:54:25 00:07:54:26							BEER6*	bier
00:07:54:26 00:07:54:28
00:07:54:28 00:07:54:32	One can walk through the English garden.
00:07:54:32 00:07:54:37							MEANING1*	bedeu{tung}
00:07:54:37 00:07:54:39
00:07:54:39 00:07:54:45		ENGLAND4*		englisch
00:07:54:45 00:07:55:00						CULTURE1A*		kult{ur}
00:07:55:00 00:07:55:04
00:07:55:04 00:07:55:12
00:07:55:12 00:07:55:14		GARDEN2		garten
00:07:55:14 00:07:55:22							$GEST-OFF1^*
00:07:55:22 00:07:55:23
00:07:55:23 00:07:55:31
00:07:55:31 00:07:56:00		TO-GO-FOR-A-WALK1		spazieren
00:07:56:00 00:07:56:08		TO-GO-FOR-A-WALK1		spazieren
00:07:56:08 00:07:56:19
00:07:56:19 00:07:56:24		ENGLAND4*		englisch
00:07:56:24 00:07:56:31									Can you say a little more about those things?
00:07:56:31 00:07:56:33		GARDEN2*
00:07:56:33 00:07:56:39					To the Chinese tower.
00:07:56:39 00:07:56:45		$GEST^		garten
00:07:56:45 00:07:56:46
00:07:56:46 00:07:57:09							CHINA2	chinesisch
00:07:57:09 00:07:57:18
00:07:57:18 00:07:57:36							TOWER1*	turm
00:07:57:36 00:07:58:00
00:07:58:00 00:08:04:00									What is the English garden, exactly, for example? And how do you imagine the program for someone who has no idea about any of it?
00:08:04:00 00:08:04:17	Yes, of course.
00:08:04:17 00:08:04:21		YES2*
00:08:04:21 00:08:04:35
00:08:04:35 00:08:04:41		MINUTE2A^
00:08:04:41 00:08:04:47
00:08:04:47 00:08:05:08	One can sit outside by the lake and order a liter of beer.
00:08:05:08 00:08:05:35		OUTSIDE1*		draußen
00:08:05:35 00:08:05:48
00:08:05:48 00:08:06:22		LAKE5*		see
00:08:06:22 00:08:06:47
00:08:06:47 00:08:07:14		$GEST^		[MG]
00:08:07:14 00:08:07:29
00:08:07:29 00:08:07:37		CAN2A		kann
00:08:07:37 00:08:08:01
00:08:08:01 00:08:08:13		BEER6		bier
00:08:08:13 00:08:08:27
00:08:08:27 00:08:08:36		LITRE-BEER1		maß
00:08:08:36 00:08:08:47
00:08:08:47 00:08:09:06		TO-ORDER1A*		bestellen
00:08:09:06 00:08:09:18
00:08:09:18 00:08:09:32		$PROD*
00:08:09:32 00:08:10:01
00:08:10:01 00:08:10:05		$GEST-OFF1^		[MG]
00:08:10:05 00:08:10:07
00:08:10:07 00:08:10:16	A pretzel and some Obatzda [Bavarian cheese spread] to eat.
00:08:10:16 00:08:10:31		PRETZEL2*		brezel
00:08:10:31 00:08:10:37
00:08:10:37 00:08:10:45		$GEST-OFF1^
00:08:10:45 00:08:11:10
00:08:11:10 00:08:11:18			SIDE-DISH1
00:08:11:18 00:08:11:25
00:08:11:25 00:08:11:31		$GEST^
00:08:11:31 00:08:11:49
00:08:11:49 00:08:13:07		$ALPHA1:O-B-A-T-Z-A		obatzda
00:08:13:07 00:08:13:13
00:08:13:13 00:08:13:23		TO-EAT-OR-FOOD2*
00:08:13:23 00:08:13:39					Or some pork roast, roast chicken or spare ribs.
00:08:13:39 00:08:13:49		$PROD*
00:08:13:49 00:08:14:01		$PROD*				PIG2*		schwein{e}braten
00:08:14:01 00:08:14:03						PIG2*
00:08:14:03 00:08:14:15
00:08:14:15 00:08:14:24		TO-EAT-OR-FOOD1*		ess		TO-BAKE2
00:08:14:24 00:08:14:30						TO-BAKE2
00:08:14:30 00:08:14:34
00:08:14:34 00:08:15:00		$GEST-OFF1^		[MG]
00:08:15:00 00:08:15:11						CORN2^*		hendl
00:08:15:11 00:08:15:12
00:08:15:12 00:08:15:13
00:08:15:13 00:08:15:22	And there’s also pork roast with dumplings, yes.
00:08:15:22 00:08:15:27						$GEST-OFF1^
00:08:15:27 00:08:15:30		PIG2*		schweinebraten
00:08:15:30 00:08:15:32
00:08:15:32 00:08:15:45
00:08:15:45 00:08:15:48		TO-ROAST-OR-TO-FRY1*
00:08:15:48 00:08:15:49						RIB1B*
00:08:15:49 00:08:16:01
00:08:16:01 00:08:16:05
00:08:16:05 00:08:16:16							$GEST-OFF1^*
00:08:16:16 00:08:16:21		BALL-SPHERE1A^		knödel			$GEST-OFF1^*
00:08:16:21 00:08:16:27		BALL-SPHERE1A^
00:08:16:27 00:08:16:34
00:08:16:34 00:08:16:35						RIB1B*		rippe
00:08:16:35 00:08:17:07		$GEST-OFF1^
00:08:17:07 00:08:17:14
00:08:17:14 00:08:17:29		YES2
00:08:17:29 00:08:17:37
00:08:17:37 00:08:18:10		$GEST-OFF1^*
00:08:18:10 00:08:18:38
00:08:18:38 00:08:18:48
00:08:18:48 00:08:19:20					There’s a sort of law in Bavarian beer gardens.
00:08:19:20 00:08:19:28							TO-PRESS-LEVER1A^*	ja
00:08:19:28 00:08:19:37
00:08:19:37 00:08:19:40							$INDEX1
00:08:19:40 00:08:20:32
00:08:20:32 00:08:20:40							HERE1
00:08:20:40 00:08:21:05
00:08:21:05 00:08:21:18						STATUTE1D
00:08:21:18 00:08:21:30
00:08:21:30 00:08:21:36							$GEST-TO-PONDER1^*
00:08:21:36 00:08:21:45
00:08:21:45 00:08:21:46							BAVARIA1*	bayern
00:08:21:46 00:08:22:02
00:08:22:02 00:08:22:16							AREA1A*
00:08:22:16 00:08:22:20
00:08:22:20 00:08:22:22					It’s not true for beer gardens in restaurants.
00:08:22:22 00:08:22:26							BEER6*	biergarten
00:08:22:26 00:08:22:31
00:08:22:31 00:08:23:08						GARDEN2
00:08:23:08 00:08:23:16
00:08:23:16 00:08:23:26						CERTAIN1*		b{estimmtes}
00:08:23:26 00:08:23:31
00:08:23:31 00:08:23:35							$INDEX1
00:08:23:35 00:08:23:41
00:08:23:41 00:08:24:04						RESTAURANT1*		restaurant
00:08:24:04 00:08:24:09
00:08:24:09 00:08:24:19							NO1B^
00:08:24:19 00:08:24:25
00:08:24:25 00:08:24:35					In the open beer gardens, one is allowed to bring one’s own food.
00:08:24:35 00:08:24:48						OPEN1*		o{ffen}
00:08:24:48 00:08:25:07
00:08:25:07 00:08:25:15						LIKE3A*		wie
00:08:25:15 00:08:25:27
00:08:25:27 00:08:25:40						OPEN1		off{en}
00:08:25:40 00:08:25:46
00:08:25:46 00:08:26:03						LIKE-SAYING1*		wie
00:08:26:03 00:08:26:06
00:08:26:06 00:08:26:10						BEER6*		biergarten
00:08:26:10 00:08:26:13
00:08:26:13 00:08:26:16						GARDEN2*
00:08:26:16 00:08:26:17
00:08:26:17 00:08:26:33							AREA1A^*
00:08:26:33 00:08:26:49
00:08:26:49 00:08:27:10						PERMISSION2
00:08:27:10 00:08:27:34
00:08:27:34 00:08:27:41						TO-EAT-OR-FOOD1*		essen
00:08:27:41 00:08:27:45
00:08:27:45 00:08:28:01							ALLOWED5	darf
00:08:28:01 00:08:28:04
00:08:28:04 00:08:28:17							SELF1A	selbst
00:08:28:17 00:08:28:31
00:08:28:31 00:08:29:34						TO-BRING-ALONG2*		mitnehmen
00:08:29:34 00:08:29:38
00:08:29:38 00:08:29:45					One can even take a tablecloth.
00:08:29:45 00:08:30:00							SELF1A	selb{st}
00:08:30:00 00:08:30:09
00:08:30:09 00:08:30:42						TO-BLANKET3^		[MG]
00:08:30:42 00:08:30:47
00:08:30:47 00:08:31:03					One only has to purchase beer at the beer garden.
00:08:31:03 00:08:31:07							BUT1*	aber
00:08:31:07 00:08:31:13
00:08:31:13 00:08:31:34						DUTY1*		pflicht
00:08:31:34 00:08:31:43
00:08:31:43 00:08:31:49						MUST1*		muss
00:08:31:49 00:08:32:05
00:08:32:05 00:08:32:10							I1
00:08:32:10 00:08:32:19
00:08:32:19 00:08:32:27							MUST1*
00:08:32:27 00:08:32:35
00:08:32:35 00:08:33:01						TO-BUY1A		kauf
00:08:33:01 00:08:33:14
00:08:33:14 00:08:33:31	The beer, yes.						BEER6	bier
00:08:33:31 00:08:33:39
00:08:33:39 00:08:33:46		BEER6		bier
00:08:33:46 00:08:33:49		BEER6				$PROD*
00:08:33:49 00:08:34:16
00:08:34:16 00:08:34:25		$PROD*
00:08:34:25 00:08:34:28		$PROD*
00:08:34:28 00:08:34:33
00:08:34:33 00:08:34:38		YES2*
00:08:34:38 00:08:34:45		YES2*				ALLOWED5*		darf
00:08:34:45 00:08:34:49
00:08:34:49 00:08:35:02	That’s why it’s called ‘beer garden’.
00:08:35:02 00:08:35:04
00:08:35:04 00:08:35:10		THEREFORE1
00:08:35:10 00:08:35:12
00:08:35:12 00:08:35:21					I like that.
00:08:35:21 00:08:35:22		QUOTATION-MARKS1*
00:08:35:22 00:08:35:30						WEIRD-STRANGE1^		[MG]
00:08:35:30 00:08:35:40
00:08:35:40 00:08:35:47							BEAUTIFUL1A	schön
00:08:35:47 00:08:35:48							BEAUTIFUL1A
00:08:35:48 00:08:36:02
00:08:36:02 00:08:36:20							$GEST-OFF1^*
00:08:36:20 00:08:36:32		BEER6		biergarten
00:08:36:32 00:08:36:43
00:08:36:43 00:08:36:45		GARDEN2
00:08:36:45 00:08:37:06		GARDEN2
00:08:37:06 00:08:37:19
00:08:37:19 00:08:37:22		QUOTATION-MARKS1
00:08:37:22 00:08:37:36
00:08:37:36 00:08:37:48		A-MOMENT-AGO1A		[MG]
00:08:37:48 00:08:38:03
00:08:38:03 00:08:38:09		$INDEX1
00:08:38:09 00:08:38:14
00:08:38:14 00:08:38:42					One has to buy the beer, the rest is completely up to oneself.
00:08:38:42 00:08:39:01							BEER6	bier
00:08:39:01 00:08:39:08
00:08:39:08 00:08:39:22						$PROD*
00:08:39:22 00:08:39:30
00:08:39:30 00:08:39:33							I2*
00:08:39:33 00:08:39:40
00:08:39:40 00:08:39:41							$INDEX1
00:08:39:41 00:08:39:43
00:08:39:43 00:08:39:47							TO-EAT-OR-FOOD1	es{sen}
00:08:39:47 00:08:40:07
00:08:40:07 00:08:40:15						TO-BRING-ALONG2*		mitnehmen
00:08:40:15 00:08:40:22
00:08:40:22 00:08:40:28							ALL2A
00:08:40:28 00:08:40:29
00:08:40:29 00:08:40:43						DISTINCT3		versch{ieden}
00:08:40:43 00:08:40:44
00:08:40:44 00:08:40:49					Sometimes there are people who bring a salad and make it nice and cozy for themselves with a tablecloth and candles.		YOU1
00:08:40:49 00:08:41:14
00:08:41:14 00:08:41:27						$PROD*
00:08:41:27 00:08:41:34
00:08:41:34 00:08:42:03						SALAD1*		salat
00:08:42:03 00:08:42:14
00:08:42:14 00:08:42:27						IN-ADDITION1*		[MG]
00:08:42:27 00:08:42:43
00:08:42:43 00:08:43:21						TABLECLOTH1		decke
00:08:43:21 00:08:43:37
00:08:43:37 00:08:43:42							BEAUTIFUL1A*	schö{n}
00:08:43:42 00:08:43:45
00:08:43:45 00:08:44:00						TO-MAKE1*		mach
00:08:44:00 00:08:44:08
00:08:44:08 00:08:44:15						CANDLE2A		kerze
00:08:44:15 00:08:44:19
00:08:44:19 00:08:44:43						$PROD*
00:08:44:43 00:08:45:03
00:08:45:03 00:08:45:10					That’s all possible and I think that’s lovely.
00:08:45:10 00:08:45:14						ALSO1A*		auch
00:08:45:14 00:08:45:20
00:08:45:20 00:08:45:30						PERMISSION2*		erlaubt
00:08:45:30 00:08:45:37
00:08:45:37 00:08:45:42						POSSIBLE1*		möglich
00:08:45:42 00:08:46:12
00:08:46:12 00:08:46:19						ON1B^*		noch
00:08:46:19 00:08:46:30
00:08:46:30 00:08:46:35							BEAUTIFUL1A	schön
00:08:46:35 00:08:46:40
00:08:46:40 00:08:47:10							$GEST-OFF1^*
00:08:47:10 00:08:47:16
00:08:47:16 00:08:47:28					One doesn’t have to purchase the food at the beer garden.
00:08:47:28 00:08:47:37							TO-EAT-OR-FOOD2*	essen
00:08:47:37 00:08:47:46
00:08:47:46 00:08:48:01						TO-BUY1A*		kauf
00:08:48:01 00:08:48:10
00:08:48:10 00:08:48:24						MUST1*		mu{ss} nic{ht}
00:08:48:24 00:08:48:39
00:08:48:39 00:08:48:42					One can just bring something that’s tasty to them.
00:08:48:42 00:08:49:00							MY1*
00:08:49:00 00:08:49:09
00:08:49:09 00:08:49:21							TASTE1	geschmack
00:08:49:21 00:08:49:30
00:08:49:30 00:08:50:19							$GEST-OFF1^*
00:08:50:19 00:08:50:23
00:08:50:23 00:08:51:03					The atmosphere is great, people are laughing and in a good mood.
00:08:51:03 00:08:51:09							BEAUTIFUL1A	schö{n}
00:08:51:09 00:08:51:22
00:08:51:22 00:08:51:26							TERRITORY1*	viel
00:08:51:26 00:08:51:36
00:08:51:36 00:08:51:48						PEOPLE2*		l{eute}
00:08:51:48 00:08:52:13
00:08:52:13 00:08:52:20						HOW-QUESTION2*		wie
00:08:52:20 00:08:52:30
00:08:52:30 00:08:52:37						PEOPLE2*		leute
00:08:52:37 00:08:52:46
00:08:52:46 00:08:53:31						TO-SWARM1
00:08:53:31 00:08:53:33
00:08:53:33 00:08:53:38						TO-LOOK-AT6^*
00:08:53:38 00:08:53:45
00:08:53:45 00:08:54:08							MOOD4	stimmung
00:08:54:08 00:08:54:19
00:08:54:19 00:08:54:22						$GEST-OFF1^
00:08:54:22 00:08:54:39
00:08:54:39 00:08:54:45							ALL1A*	alle
00:08:54:45 00:08:55:09
00:08:55:09 00:08:55:18							TO-LAUGH1*	lachen
00:08:55:18 00:08:55:30
00:08:55:30 00:08:55:36						LIKE3A*		wie
00:08:55:36 00:08:55:43
00:08:55:43 00:08:56:00							EVIL4	[MG]
00:08:56:00 00:08:56:19
00:08:56:19 00:08:56:30						ZERO6C		null
00:08:56:30 00:08:56:39
00:08:56:39 00:08:57:20						$GEST-OFF1^
00:08:57:20 00:08:57:26
00:08:57:26 00:08:57:40					There are always big trees in the beer gardens. It’s nice and cool to sit in the shade underneath them.
00:08:57:40 00:08:57:46							MUCH1A*	viel
00:08:57:46 00:08:58:02
00:08:58:02 00:08:58:08						TYPICAL1		typ{isch}
00:08:58:08 00:08:58:20
00:08:58:20 00:08:58:40						TREE5		baum
00:08:58:40 00:08:59:05
00:08:59:05 00:08:59:22						TO-PUT1A*
00:08:59:22 00:08:59:30	Yes, that’s true.					TO-PUT1A*
00:08:59:30 00:08:59:38
00:08:59:38 00:08:59:43		YES2		stimmt
00:08:59:43 00:09:00:00							WELL1	wohl
00:09:00:00 00:09:00:01
00:09:00:01 00:09:00:08
00:09:00:08 00:09:00:16						COOL-OR-COLD1		kühl
00:09:00:16 00:09:01:00						COOL-OR-COLD1		kühl
00:09:01:00 00:09:01:05
00:09:01:05 00:09:01:41						$GEST-OFF1^
00:09:01:41 00:09:01:43
00:09:01:43 00:09:02:04					Without the trees, it wouldn’t be that nice.
00:09:02:04 00:09:02:11						WITHOUT1B		ohne
00:09:02:11 00:09:02:14	There are also fairy lights and lanterns to give some light.					WITHOUT1B		ohne
00:09:02:14 00:09:02:23
00:09:02:23 00:09:02:29						TREE5		baum
00:09:02:29 00:09:02:38
00:09:02:38 00:09:02:40		LAMP1A		lampe
00:09:02:40 00:09:02:43		LAMP1A		lampe		CAN1*		[MG]
00:09:02:43 00:09:03:00
00:09:03:00 00:09:03:08		$PROD*
00:09:03:08 00:09:03:24
00:09:03:24 00:09:03:31						$GEST-OFF1^
00:09:03:31 00:09:04:05
00:09:04:05 00:09:05:08
00:09:05:08 00:09:05:11
00:09:05:11 00:09:05:19		LIGHT1		laterne
00:09:05:19 00:09:05:33
00:09:05:33 00:09:06:05		PILLAR1*
00:09:06:05 00:09:06:15
00:09:06:15 00:09:06:17		LIGHT-BULB1^*
00:09:06:17 00:09:06:27
00:09:06:27 00:09:06:33		LAMP1A		lampe
00:09:06:33 00:09:06:46
00:09:06:46 00:09:07:00		TO-PUT1A*
00:09:07:00 00:09:07:04
00:09:07:04 00:09:07:26		$ORAL^		stimmt	Everyone — young and old — loves to go to the beer garden.
00:09:07:26 00:09:07:33
00:09:07:33 00:09:07:47							ALL1A	alle
00:09:07:47 00:09:08:16
00:09:08:16 00:09:08:25							YOUNG2C	ju{gend}
00:09:08:25 00:09:08:34
00:09:08:34 00:09:08:36							UNTIL1*	bis
00:09:08:36 00:09:08:43
00:09:08:43 00:09:09:01						PROTECTION2B^		al{t}
00:09:09:01 00:09:09:06
00:09:09:06 00:09:09:12							TO-LIKE2*
00:09:09:12 00:09:09:24
00:09:09:24 00:09:10:11						TO-COME1*		komm komm komm
00:09:10:11 00:09:10:13					They meet up to chat.
00:09:10:13 00:09:10:14							$INDEX1
00:09:10:14 00:09:10:17
00:09:10:17 00:09:10:25						TO-MEET1*		treffe
00:09:10:25 00:09:10:37
00:09:10:37 00:09:10:44							THERE1*
00:09:10:44 00:09:11:06
00:09:11:06 00:09:11:29						TALK2A		unterhal{ten}
00:09:11:29 00:09:11:32
00:09:11:32 00:09:11:34					One just agrees on a time and meets in the usual spot.
00:09:11:34 00:09:11:41						TO-MEET2A		trefft
00:09:11:41 00:09:11:46
00:09:11:46 00:09:11:48							$INDEX1	[MG]
00:09:11:48 00:09:12:01
00:09:12:01 00:09:12:11						TIME1*		[MG]
00:09:12:11 00:09:12:31
00:09:12:31 00:09:12:45						MASS-OF-PEOPLE-ACTIVE1^*		[MG]
00:09:12:45 00:09:13:06
00:09:13:06 00:09:13:13							OR1*	oder
00:09:13:13 00:09:13:16
00:09:13:16 00:09:13:28						REGULAR4B*		stammplatz
00:09:13:28 00:09:13:35
00:09:13:35 00:09:13:41							PLACE1
00:09:13:41 00:09:14:01
00:09:14:01 00:09:15:03						MASS-OF-PEOPLE-ACTIVE1^*		[MG]
00:09:15:03 00:09:15:09
00:09:15:09 00:09:15:15					It’s almost a tradition.
00:09:15:15 00:09:15:31						ALWAYS1A*		immer
00:09:15:31 00:09:15:47
00:09:15:47 00:09:16:15						TRADITION2A		[MG]
00:09:16:15 00:09:16:37	How many beer gardens are there in Munich, total?
00:09:16:37 00:09:16:42		MUNICH1A*		münchen
00:09:16:42 00:09:17:00
00:09:17:00 00:09:17:10		OVERALL1A
00:09:17:10 00:09:17:15
00:09:17:15 00:09:17:18		HOW-MUCH5*		wie viel
00:09:17:18 00:09:17:26
00:09:17:26 00:09:17:30		BEER6		biergarten
00:09:17:30 00:09:17:35
00:09:17:35 00:09:17:38		GARDEN2*
00:09:17:38 00:09:17:44
00:09:17:44 00:09:18:00		HOW-MUCH5*
00:09:18:00 00:09:18:18					Very many.
00:09:18:18 00:09:18:30		$ORAL^		wie viel		$GEST-OFF1^*
00:09:18:30 00:09:19:02
00:09:19:02 00:09:20:02							MUCH1A*
00:09:20:02 00:09:20:04
00:09:20:04 00:09:20:10					But the big and well-known ones are/
00:09:20:10 00:09:20:12							STOP1^
00:09:20:12 00:09:20:29	This huge, known one would be the Hirschgarten [restaurant with the largest beer garden in Munich and possibly the world].
00:09:20:29 00:09:20:40		$INDEX1
00:09:20:40 00:09:20:43
00:09:20:43 00:09:21:07						BIG3A		gro{ß}
00:09:21:07 00:09:21:10		BIG3B		[MG]		BIG3A		gro{ß}
00:09:21:10 00:09:21:19		BIG3B		[MG]
00:09:21:19 00:09:21:27
00:09:21:27 00:09:21:40							BEER6*	bier
00:09:21:40 00:09:21:42		$GEST^					BEER6*	bier
00:09:21:42 00:09:21:45		$GEST^
00:09:21:45 00:09:22:16
00:09:22:16 00:09:22:23						WELL-KNOWN4*		bekannt
00:09:22:23 00:09:22:26		RED-DEER1B*		hirschgarten		WELL-KNOWN4*		bekannt
00:09:22:26 00:09:22:37
00:09:22:37 00:09:22:45						$LIST1:1of1d
00:09:22:45 00:09:23:08						$LIST1:1of1d
00:09:23:08 00:09:23:09
00:09:23:09 00:09:23:15		GARDEN2
00:09:23:15 00:09:23:16		GARDEN2					YOU1*
00:09:23:16 00:09:23:17							YOU1*
00:09:23:17 00:09:23:21
00:09:23:21 00:09:23:27					… the Hirschgarten and/
00:09:23:27 00:09:23:30		$GEST^
00:09:23:30 00:09:23:34							RED-DEER1A*	hirschgarten
00:09:23:34 00:09:23:42
00:09:23:42 00:09:24:05						GARDEN2
00:09:24:05 00:09:24:07						GARDEN2
00:09:24:07 00:09:24:15	… in the English garden by the Chinese tower/
00:09:24:15 00:09:24:16		$LIST1:2of2d*
00:09:24:16 00:09:24:21		$LIST1:2of2d*				AND2A*		und
00:09:24:21 00:09:24:24						AND2A*		und
00:09:24:24 00:09:24:29
00:09:24:29 00:09:24:33						$LIST1:2of2d
00:09:24:33 00:09:24:36		ENGLAND4*		englisch		$LIST1:2of2d
00:09:24:36 00:09:24:42
00:09:24:42 00:09:24:44						$GEST-TO-PONDER1^*
00:09:24:44 00:09:25:02
00:09:25:02 00:09:25:04		GARDEN2*		garten
00:09:25:04 00:09:25:15
00:09:25:15 00:09:25:21		CHINA1		china
00:09:25:21 00:09:25:22		CHINA1		china
00:09:25:22 00:09:25:25					… the Augustiner beer garden close to central station.
00:09:25:25 00:09:25:35						AUGUSTINIAN1		augustiner
00:09:25:35 00:09:25:46		TOWER1*		turm
00:09:25:46 00:09:25:49
00:09:25:49 00:09:26:00
00:09:26:00 00:09:26:03		$INDEX1		stimmt
00:09:26:03 00:09:26:08
00:09:26:08 00:09:26:10							WITH1A*	mit
00:09:26:10 00:09:26:11							WITH1A*	mit
00:09:26:11 00:09:26:12
00:09:26:12 00:09:26:15						GARDEN2		garten
00:09:26:15 00:09:26:22
00:09:26:22 00:09:26:35						CLOSE-BY1^*
00:09:26:35 00:09:26:49
00:09:26:49 00:09:27:06							$MORPH-MAIN1B	hauptbahnhof
00:09:27:06 00:09:27:12
00:09:27:12 00:09:27:22							TRAIN-STATION7*
00:09:27:22 00:09:27:28
00:09:27:28 00:09:28:13							$INDEX1
00:09:28:13 00:09:28:26
00:09:28:26 00:09:28:35					The third one is in the English garden. These are the biggest ones.
00:09:28:35 00:09:28:43						$LIST1:3of3d
00:09:28:43 00:09:28:46
00:09:28:46 00:09:29:02						ENGLAND4*		englisch
00:09:29:02 00:09:29:09
00:09:29:09 00:09:29:23						GARDEN2*		garten
00:09:29:23 00:09:29:41
00:09:29:41 00:09:30:03						$LIST1:3of3d
00:09:30:03 00:09:30:12
00:09:30:12 00:09:30:23						$LIST1:4of4d
00:09:30:23 00:09:30:39
00:09:30:39 00:09:31:04							$INDEX2
00:09:31:04 00:09:31:12
00:09:31:12 00:09:32:05						BIG7*		oder groß
00:09:32:05 00:09:32:25
00:09:32:25 00:09:33:02						$NUM-ONE-TO-TEN1A:3d
00:09:33:02 00:09:33:24
00:09:33:24 00:09:33:38						BIG7*		groß
00:09:33:38 00:09:34:01
00:09:34:01 00:09:34:09						$NUM-ONE-TO-TEN1A:3d		drei
00:09:34:09 00:09:34:28	One that’s a bit smaller is by the Max-Weber-square, just around the corner.
00:09:34:28 00:09:34:33		$LIST1:3of3d
00:09:34:33 00:09:34:42
00:09:34:42 00:09:34:49
00:09:34:49 00:09:35:02		$INDEX1
00:09:35:02 00:09:35:14
00:09:35:14 00:09:35:22		SMALL11*		[MG]
00:09:35:22 00:09:35:25
00:09:35:25 00:09:35:34					There are quite a few.
00:09:35:34 00:09:35:40		$INDEX1
00:09:35:40 00:09:36:00
00:09:36:00 00:09:36:02						$PROD*		[MG]
00:09:36:02 00:09:36:16		$GEST-TO-PONDER1^
00:09:36:16 00:09:36:23
00:09:36:23 00:09:36:26
00:09:36:26 00:09:36:38					A smaller one is by the Michaelibad [Munich’s biggest indoor swimming pool].
00:09:36:38 00:09:36:47		$ALPHA1:M-X		max
00:09:36:47 00:09:37:02
00:09:37:02 00:09:37:04							$GEST-TO-PONDER1^
00:09:37:04 00:09:37:12		$ALPHA1:W		weber
00:09:37:12 00:09:37:18
00:09:37:18 00:09:37:25		PLACE6A		platz
00:09:37:25 00:09:37:31
00:09:37:31 00:09:37:33						$NAME		micha{eli}
00:09:37:33 00:09:37:36						$NAME		micha{eli}
00:09:37:36 00:09:38:04
00:09:38:04 00:09:38:10		$ALPHA1:M-X		max
00:09:38:10 00:09:38:20						TO-BATH1B*		bad
00:09:38:20 00:09:38:25
00:09:38:25 00:09:38:31						CLOSE-BY1A
00:09:38:31 00:09:38:37
00:09:38:37 00:09:38:46							$INDEX1
00:09:38:46 00:09:39:04
00:09:39:04 00:09:39:10		$ALPHA1:W		weber
00:09:39:10 00:09:39:16
00:09:39:16 00:09:39:21		PLACE6A		platz
00:09:39:21 00:09:39:45		PLACE6A		platz
00:09:39:45 00:09:39:48
00:09:39:48 00:09:40:06					Right, at the Max-Weber-square, that’s also a Hofbräu one.
00:09:40:06 00:09:40:16		$PROD*
00:09:40:16 00:09:40:17							LOCATION3*
00:09:40:17 00:09:40:27
00:09:40:27 00:09:40:31							YOU1*
00:09:40:31 00:09:40:41
00:09:40:41 00:09:41:02							YES2
00:09:41:02 00:09:41:06
00:09:41:06 00:09:41:14
00:09:41:14 00:09:41:19		BEER6		bier
00:09:41:19 00:09:41:21
00:09:41:21 00:09:41:24							$PROD*
00:09:41:24 00:09:41:43		AREA1A^					$PROD*
00:09:41:43 00:09:41:48		AREA1A^
00:09:41:48 00:09:42:03
00:09:42:03 00:09:42:04							$ALPHA1:H-B	h-b
00:09:42:04 00:09:42:08		YES2*
00:09:42:08 00:09:42:15
00:09:42:15 00:09:42:20
00:09:42:20 00:09:42:23
00:09:42:23 00:09:42:25							$INDEX1
00:09:42:25 00:09:42:29
00:09:42:29 00:09:42:43							$ALPHA1:H-B*	h-b
00:09:42:43 00:09:42:46
00:09:42:46 00:09:43:18					There are quite a few more.
00:09:43:18 00:09:43:44						$PROD*		[MG]
00:09:43:44 00:09:43:46
00:09:43:46 00:09:44:20					The biggest beer garden is the one in the English garden, I think.
00:09:44:20 00:09:45:04						BIG7*		groß
00:09:45:04 00:09:45:20
00:09:45:20 00:09:45:30							MOST1A
00:09:45:30 00:09:45:39
00:09:45:39 00:09:45:44							TO-BELIEVE2A*	glau{ben}
00:09:45:44 00:09:46:00
00:09:46:00 00:09:46:02							I1
00:09:46:02 00:09:46:13
00:09:46:13 00:09:46:17							ENGLAND4*	englischer
00:09:46:17 00:09:46:22
00:09:46:22 00:09:46:24						GARDEN2*		garten
00:09:46:24 00:09:46:28
00:09:46:28 00:09:46:46							$INDEX1
00:09:46:46 00:09:47:14
00:09:47:14 00:09:49:03
00:09:49:03 00:09:53:49									What else would you do?
00:09:53:49 00:09:54:15					If it worked out and the visitors came in the end of September, beginning of October, I would of course take them to Oktoberfest.
00:09:54:15 00:09:54:26						$GEST-ATTENTION1^*
00:09:54:26 00:09:54:37
00:09:54:37 00:09:54:42						IF-OR-WHEN1A		wenn
00:09:54:42 00:09:55:07
00:09:55:07 00:09:55:16						POINT2^*
00:09:55:16 00:09:55:33
00:09:55:33 00:09:55:40							$INDEX1
00:09:55:40 00:09:55:42
00:09:55:42 00:09:55:45							IF-OR-WHEN1A
00:09:55:45 00:09:56:04
00:09:56:04 00:09:56:14							TO-VISIT-OR-TO-ATTEND1B*
00:09:56:14 00:09:56:28
00:09:56:28 00:09:56:35						TO-MATCH1*		pass
00:09:56:35 00:09:57:01
00:09:57:01 00:09:57:11						MONTH1*		monat
00:09:57:11 00:09:57:20
00:09:57:20 00:09:57:24						SEPTEMBER2A*		s{eptember}
00:09:57:24 00:09:57:34
00:09:57:34 00:09:57:40						END1B		ende
00:09:57:40 00:09:57:48
00:09:57:48 00:09:58:05						SEPTEMBER2A*		sept{ember}
00:09:58:05 00:09:58:15
00:09:58:15 00:09:58:26						BEGINNING1A		anfan{g}
00:09:58:26 00:09:59:48
00:09:59:48 00:10:00:06						OCTOBER5		okto{ber}
00:10:00:06 00:10:00:15
00:10:00:15 00:10:00:18							WOULD-BE1	wäre
00:10:00:18 00:10:00:28
00:10:00:28 00:10:00:37						TOGETHER1A*
00:10:00:37 00:10:00:45
00:10:00:45 00:10:01:02							TO-GO-THERE2*
00:10:01:02 00:10:01:10
00:10:01:10 00:10:01:20						OKTOBERFEST1		oktoberfest
00:10:01:20 00:10:01:31
00:10:01:31 00:10:01:48	Seven days of Oktoberfest, that’s it.
00:10:01:48 00:10:01:49		YES2*
00:10:01:49 00:10:02:00					The Oktoberfest is a must.
00:10:02:00 00:10:02:07							DUTY1*	pflicht
00:10:02:07 00:10:02:28							DUTY1*	pflicht
00:10:02:28 00:10:02:34		$NUM-ONE-TO-TEN1A:7d		sieben
00:10:02:34 00:10:02:46
00:10:02:46 00:10:02:47		DAY1A		tag
00:10:02:47 00:10:03:05		DAY1A		tag		OKTOBERFEST1*		oktoberfes{t}
00:10:03:05 00:10:03:11						OKTOBERFEST1*
00:10:03:11 00:10:03:25		CELEBRATION1D		oktoberfest
00:10:03:25 00:10:03:27
00:10:03:27 00:10:03:39						FINISH1*
00:10:03:39 00:10:03:43		DONE1B		fertig
00:10:03:43 00:10:03:46
00:10:03:46 00:10:04:17
00:10:04:17 00:10:04:30
00:10:04:30 00:10:05:44
00:10:05:44 00:10:07:46									What is the Oktoberfest?
00:10:07:46 00:10:08:00
00:10:08:00 00:10:08:22	There are beer tents at Oktoberfest.
00:10:08:22 00:10:08:26		CELEBRATION1D*		oktoberfest
00:10:08:26 00:10:08:32
00:10:08:32 00:10:08:38		IN3
00:10:08:38 00:10:08:49
00:10:08:49 00:10:09:07		THERE-IS3		es gibt
00:10:09:07 00:10:09:14
00:10:09:14 00:10:09:18		$LIST1:1of1d
00:10:09:18 00:10:09:29
00:10:09:29 00:10:09:36		BEER6		bierzelt
00:10:09:36 00:10:10:02
00:10:10:02 00:10:10:12		TENT1
00:10:10:12 00:10:10:32
00:10:10:32 00:10:11:14		$PROD*
00:10:11:14 00:10:11:18
00:10:11:18 00:10:11:27	They are basically ‘beer gardens in a house’.
00:10:11:27 00:10:11:42		QUOTATION-MARKS1*		[MG]
00:10:11:42 00:10:12:26
00:10:12:26 00:10:12:32		BEER6*		biergarten
00:10:12:32 00:10:12:41
00:10:12:41 00:10:12:45		GARDEN2*
00:10:12:45 00:10:13:01
00:10:13:01 00:10:13:07		DOWN1^		im
00:10:13:07 00:10:13:17
00:10:13:17 00:10:13:29		HOUSE1A*		haus
00:10:13:29 00:10:13:34
00:10:13:34 00:10:13:42		QUOTATION-MARKS1
00:10:13:42 00:10:14:11
00:10:14:11 00:10:14:43	There are carrousels, rollercoasters, ghost trains, merry-go-rounds and many more things.
00:10:14:43 00:10:14:49		OR5*		oder
00:10:14:49 00:10:15:07
00:10:15:07 00:10:15:15		$LIST1:2of2d
00:10:15:15 00:10:15:40
00:10:15:40 00:10:16:13		ROUNDABOUT1*		karussell
00:10:16:13 00:10:16:18
00:10:16:18 00:10:16:24		$GEST-OFF1^*
00:10:16:24 00:10:16:32
00:10:16:32 00:10:16:36		$LIST1:2of2d
00:10:16:36 00:10:16:43					There are different things there.
00:10:16:43 00:10:16:47		$GEST-OFF1^*
00:10:16:47 00:10:17:17		$GEST-OFF1^*				DISTINCT2B		[MG]
00:10:17:17 00:10:17:22
00:10:17:22 00:10:17:26		$NUM-ONE-TO-TEN1B:8d		achterbahn
00:10:17:26 00:10:17:32
00:10:17:32 00:10:18:03		WAVE2^*
00:10:18:03 00:10:18:16
00:10:18:16 00:10:18:18		SPIRIT1*		geisterbahn
00:10:18:18 00:10:18:24		SPIRIT1*
00:10:18:24 00:10:18:37
00:10:18:37 00:10:18:39		TRAIN2B^*
00:10:18:39 00:10:18:44
00:10:18:44 00:10:19:09		$GEST^
00:10:19:09 00:10:19:24
00:10:19:24 00:10:19:32		CHILD2*		kinderkarussell
00:10:19:32 00:10:19:41
00:10:19:41 00:10:20:08		ROUNDABOUT1
00:10:20:08 00:10:20:22					There is one ride that has had a long tradition - it’s called the Devil’s Wheel.
00:10:20:22 00:10:20:23						OR1*		oder
00:10:20:23 00:10:20:26						OR1*		oder
00:10:20:26 00:10:20:29
00:10:20:29 00:10:20:32		$GEST^
00:10:20:32 00:10:20:35						PRESENT-OR-HERE1^*		gib
00:10:20:35 00:10:20:49
00:10:20:49 00:10:21:00
00:10:21:00 00:10:21:08						TRADITION2A		tradition
00:10:21:08 00:10:21:15		MUCH1C*		viel
00:10:21:15 00:10:21:18
00:10:21:18 00:10:21:21		DISTINCT1*		verschieden
00:10:21:21 00:10:21:30		DISTINCT1*
00:10:21:30 00:10:21:36
00:10:21:36 00:10:21:41		$GEST^
00:10:21:41 00:10:21:44
00:10:21:44 00:10:22:04							OLD5A	alt
00:10:22:04 00:10:22:06							OLD5A	alt
00:10:22:06 00:10:22:29
00:10:22:29 00:10:22:32						DEVIL2		teufelsrad
00:10:22:32 00:10:23:00
00:10:23:00 00:10:23:30							CIRCLE2*
00:10:23:30 00:10:23:33
00:10:23:33 00:10:23:34					It’s very old but still remains extremely popular.
00:10:23:34 00:10:23:38							$INDEX1
00:10:23:38 00:10:23:42
00:10:23:42 00:10:23:47							OLD3*	alt
00:10:23:47 00:10:24:08
00:10:24:08 00:10:24:14						TRADITION2A		tradi{tion}
00:10:24:14 00:10:24:24
00:10:24:24 00:10:24:31						A-WHOLE-LOT2*		[MG]
00:10:24:31 00:10:24:38
00:10:24:38 00:10:25:15							$NUM-ONE-TO-TEN1A:1d	ein
00:10:25:15 00:10:25:17
00:10:25:17 00:10:25:34					Everyone goes there even though it’s actually pretty simple.
00:10:25:34 00:10:25:39						MASS-OF-PEOPLE-ACTIVE1^*		[MG]
00:10:25:39 00:10:25:41
00:10:25:41 00:10:25:47						AND2A*		und
00:10:25:47 00:10:26:11
00:10:26:11 00:10:26:44						MASS-OF-PEOPLE-ACTIVE1*		[MG]
00:10:26:44 00:10:27:05
00:10:27:05 00:10:27:09						VERY4		sehr
00:10:27:09 00:10:27:12
00:10:27:12 00:10:27:35							MY1*	mein
00:10:27:35 00:10:27:44
00:10:27:44 00:10:27:49						CONTENT3
00:10:27:49 00:10:28:13
00:10:28:13 00:10:28:45						EASY1		einfach
00:10:28:45 00:10:29:00
00:10:29:00 00:10:29:04					One has to stay put on a turning ‘plate’ and try not to fly off, even if others interfere.
00:10:29:04 00:10:29:22							CIRCLE2*	[MG]
00:10:29:22 00:10:29:37
00:10:29:37 00:10:30:00						$PROD*		[MG]
00:10:30:00 00:10:30:07
00:10:30:07 00:10:30:15	Yes, there’s a rope, too.
00:10:30:15 00:10:30:16						TO-PULL2		[MG]
00:10:30:16 00:10:30:25		YES2*				TO-PULL2		[MG]
00:10:30:25 00:10:30:26		YES2*
00:10:30:26 00:10:30:38
00:10:30:38 00:10:30:43		ROD1B*		seil
00:10:30:43 00:10:30:46		ROD1B*				TO-HOLD-ON1*		festhalten
00:10:30:46 00:10:31:10						TO-HOLD-ON1*		festhalten
00:10:31:10 00:10:31:11
00:10:31:11 00:10:31:15		$PROD*
00:10:31:15 00:10:31:22						HOW-QUESTION2*		wie
00:10:31:22 00:10:31:23
00:10:31:23 00:10:32:03
00:10:32:03 00:10:32:18						$PROD*
00:10:32:18 00:10:33:10
00:10:33:10 00:10:33:20							TO-KICK-OUT1*	raus
00:10:33:20 00:10:33:26
00:10:33:26 00:10:33:32					The last one who remains sitting wins.
00:10:33:32 00:10:33:34							$NUM-ONE-TO-TEN1A:1	ein
00:10:33:34 00:10:33:41
00:10:33:41 00:10:33:47						LAST1A		letzt
00:10:33:47 00:10:34:08
00:10:34:08 00:10:34:22							GAIN1
00:10:34:22 00:10:34:39
00:10:34:39 00:10:35:13							$GEST-OFF1^*
00:10:35:13 00:10:35:14
00:10:35:14 00:10:35:23	Yes.				The spectators create a really good atmosphere, too.
00:10:35:23 00:10:35:34		YES2*
00:10:35:34 00:10:35:41
00:10:35:41 00:10:35:44						TO-WATCH1^*
00:10:35:44 00:10:35:49
00:10:35:49 00:10:36:01						TO-LOOK-AT7^*
00:10:36:01 00:10:36:05
00:10:36:05 00:10:36:13							MOOD4	stimmung
00:10:36:13 00:10:36:33
00:10:36:33 00:10:37:48						AMBIANCE5*
00:10:37:48 00:10:38:02
00:10:38:02 00:10:38:15					That’s been the tradition for over five years.
00:10:38:15 00:10:38:20						TRADITION2A		[MG]
00:10:38:20 00:10:38:26
00:10:38:26 00:10:38:32						ALREADY1B*		schon
00:10:38:32 00:10:38:37
00:10:38:37 00:10:38:42							OVER-OR-ABOUT1*	über
00:10:38:42 00:10:38:48
00:10:38:48 00:10:39:02							$NUM-ONE-TO-TEN1B:5	fünf
00:10:39:02 00:10:39:09
00:10:39:09 00:10:39:17							YEAR2A	jahr
00:10:39:17 00:10:39:26
00:10:39:26 00:10:40:00						AS-ALWAYS1*		[MG]
00:10:40:00 00:10:40:12
00:10:40:12 00:10:40:15						$GEST-OFF1^
00:10:40:15 00:10:40:17
00:10:40:17 00:10:41:00					And of course, there are sweets.
00:10:41:00 00:10:41:08						AND2A*		und
00:10:41:08 00:10:41:16
00:10:41:16 00:10:41:35							SWEET1^*	süßigkeit
00:10:41:35 00:10:41:47
00:10:41:47 00:10:42:15						$INDEX1*
00:10:42:15 00:10:42:27
00:10:42:27 00:10:42:35					You can get cotton candy or candied almonds.
00:10:42:35 00:10:42:45							SUGAR1A	zuckerwatte
00:10:42:45 00:10:43:12
00:10:43:12 00:10:43:31							$PROD*
00:10:43:31 00:10:43:48
00:10:43:48 00:10:44:02						OR5*		oder
00:10:44:02 00:10:44:31
00:10:44:31 00:10:45:02							TONSILS1A*	mandel
00:10:45:02 00:10:45:34
00:10:45:34 00:10:46:17							$PROD*	[MG]
00:10:46:17 00:10:46:21
00:10:46:21 00:10:47:13						$GEST-OFF1^*
00:10:47:13 00:10:47:23
00:10:47:23 00:10:47:31					There are souvenirs to buy everywhere, like hats, for example.
00:10:47:31 00:10:47:37						THERE-IS3*		gibt
00:10:47:37 00:10:47:44
00:10:47:44 00:10:48:15						$GEST-TO-PONDER1^
00:10:48:15 00:10:48:29
00:10:48:29 00:10:48:42							TO-REMEMBER2	erinnerung
00:10:48:42 00:10:49:00
00:10:49:00 00:10:49:03						THING1*		sache
00:10:49:03 00:10:49:14
00:10:49:14 00:10:49:26						TO-TAKE-SB-OR-STH-ALONG2		mitnehmen
00:10:49:26 00:10:49:47
00:10:49:47 00:10:50:11						HAT2A*		hut
00:10:50:11 00:10:50:25
00:10:50:25 00:10:50:40						OR5		oder
00:10:50:40 00:10:50:46	And the Ferris wheel.
00:10:50:46 00:10:50:49						$GEST-OFF1^*
00:10:50:49 00:10:51:16		YES2				$GEST-OFF1^*
00:10:51:16 00:10:51:17		YES2
00:10:51:17 00:10:51:24					There are gingerbread hearts/
00:10:51:24 00:10:51:29		ALSO1A		auch
00:10:51:29 00:10:51:33
00:10:51:33 00:10:52:00						HEART2A*		herz
00:10:52:00 00:10:52:13		BIG3B^		riese{n}ra{d}
00:10:52:13 00:10:52:19
00:10:52:19 00:10:52:26		ROUND3A^*
00:10:52:26 00:10:52:37
00:10:52:37 00:10:52:45					… gingerbread hearts and the Ferris wheel, exactly.
00:10:52:45 00:10:53:17						HEART2A*		he{rz}
00:10:53:17 00:10:53:32
00:10:53:32 00:10:53:41						BIG3B^		riesenrad
00:10:53:41 00:10:53:42
00:10:53:42 00:10:54:10							ROUND3A^*
00:10:54:10 00:10:54:17
00:10:54:17 00:10:54:22		$INDEX1
00:10:54:22 00:10:55:02
00:10:55:02 00:10:55:04
00:10:55:04 00:10:55:10
00:10:55:10 00:10:55:17					One has a great view from there.
00:10:55:17 00:10:55:36							TO-OBSERVE4*	[MG]
00:10:55:36 00:10:55:46
00:10:55:46 00:10:55:49							SUPER1*
00:10:55:49 00:10:56:02
00:10:56:02 00:10:56:17					I would definitely recommend that.
00:10:56:17 00:10:56:25							TO-RECOMMEND1B	empfohl
00:10:56:25 00:10:56:36
00:10:56:36 00:10:56:48							THERE1
00:10:56:48 00:10:57:39
00:10:57:39 00:10:57:47					One can see the whole Oktoberfest from there and explain everything.
00:10:57:47 00:10:58:04						MEASURE5A^		riesenrad
00:10:58:04 00:10:58:07
00:10:58:07 00:10:58:21							ROUND3A^*
00:10:58:21 00:10:58:29
00:10:58:29 00:10:58:49							OVERVIEW2B*	überblicken
00:10:58:49 00:10:59:08
00:10:59:08 00:10:59:14						CLEAR1D		klar
00:10:59:14 00:10:59:17
00:10:59:17 00:10:59:29						EVERYTHING1B		alles
00:10:59:29 00:10:59:33
00:10:59:33 00:10:59:37						CELEBRATION1D*		oktoberfest
00:10:59:37 00:10:59:43
00:10:59:43 00:10:59:48							WHAT-DOES-THAT-MEAN1	was
00:10:59:48 00:11:00:10	Yes, one can see masses of people.
00:11:00:10 00:11:00:14							AREA1A^*
00:11:00:14 00:11:00:22		YES2
00:11:00:22 00:11:00:29
00:11:00:29 00:11:00:43		TO-LOOK-AT1
00:11:00:43 00:11:01:06
00:11:01:06 00:11:01:09		AREA1D^*
00:11:01:09 00:11:01:30		AREA1D^*
00:11:01:30 00:11:01:41
00:11:01:41 00:11:01:48		YES2
00:11:01:48 00:11:02:02
00:11:02:02 00:11:02:19					A gingerbread heart is always a nice gift for one’s partner.
00:11:02:19 00:11:02:21						AND2A*		und
00:11:02:21 00:11:02:22
00:11:02:22 00:11:02:33
00:11:02:33 00:11:02:36							$GEST-ATTENTION1^*
00:11:02:36 00:11:02:46
00:11:02:46 00:11:03:03							BEAUTIFUL1A	schö{n}
00:11:03:03 00:11:03:13
00:11:03:13 00:11:03:21						TO-GIVE-PRESENT1*		gesch{enk}
00:11:03:21 00:11:03:37
00:11:03:37 00:11:03:42							BOYFRIEND-GIRLFRIEND1	[MG]
00:11:03:42 00:11:04:21
00:11:04:21 00:11:04:31	A gingerbread heart, yes, and cotton candy.
00:11:04:31 00:11:04:44						HEART2A*		herz
00:11:04:44 00:11:05:17		HEART2A^*		lebkuch{enherz}
00:11:05:17 00:11:05:18
00:11:05:18 00:11:05:25
00:11:05:25 00:11:05:29		RIGHT-OR-AGREED1A		stimm{t}
00:11:05:29 00:11:05:36		RIGHT-OR-AGREED1A		stimm{t}			$ALPHA1:L	lebkuchen
00:11:05:36 00:11:05:43
00:11:05:43 00:11:05:47							CAKE5*
00:11:05:47 00:11:06:19		HEART2A^*		lebkuch{enherz}			CAKE5*
00:11:06:19 00:11:06:25		HEART2A^*		lebkuch{enherz}
00:11:06:25 00:11:06:33
00:11:06:33 00:11:06:35						HEART2A*
00:11:06:35 00:11:06:41		WITH1A		mit
00:11:06:41 00:11:07:00
00:11:07:00 00:11:07:10		SUGAR3		zuckerwatte
00:11:07:10 00:11:07:23
00:11:07:23 00:11:07:26		$PROD*
00:11:07:26 00:11:08:00		$PROD*
00:11:08:00 00:11:08:27
00:11:08:27 00:11:08:29		YES1A
00:11:08:29 00:11:09:02
00:11:09:02 00:11:09:41	Do gingerbread hearts only exist at Oktoberfest?
00:11:09:41 00:11:10:10		HEART2A^*		lebkuch{enherz}
00:11:10:10 00:11:10:12		HEART2A^*		lebkuch{enherz}	If one meets up/
00:11:10:12 00:11:10:27
00:11:10:27 00:11:10:30		SOLE1*		einzig
00:11:10:30 00:11:10:36		SOLE1*				QUOTATION-MARKS1^		[MG]
00:11:10:36 00:11:10:37						QUOTATION-MARKS1^		[MG]
00:11:10:37 00:11:10:40
00:11:10:40 00:11:11:00		$INDEX1
00:11:11:00 00:11:11:08
00:11:11:08 00:11:11:15						TO-MEET1		treffen
00:11:11:15 00:11:11:22
00:11:11:22 00:11:11:25						QUOTATION-MARKS1^
00:11:11:25 00:11:11:35		SOLE1*		einz{ig}
00:11:11:35 00:11:11:39
00:11:11:39 00:11:11:49		$INDEX1
00:11:11:49 00:11:12:01
00:11:12:01 00:11:12:15
00:11:12:15 00:11:12:40		HEART2A^*		lebkuch{enherz}
00:11:12:40 00:11:13:12
00:11:13:12 00:11:13:15		AREA1A*		[MG]
00:11:13:15 00:11:13:25		AREA1A*		[MG]	They were originally only sold at Oktoberfest, but then others started copying them.
00:11:13:25 00:11:13:33
00:11:13:33 00:11:13:34		THERE-IS3*		[MG]
00:11:13:34 00:11:13:39		THERE-IS3*		[MG]		THERE-IS3*		gibt nicht
00:11:13:39 00:11:14:06						THERE-IS3*		gibt nicht
00:11:14:06 00:11:14:16
00:11:14:16 00:11:14:22							SOLE1	einz{ig}
00:11:14:22 00:11:14:26
00:11:14:26 00:11:14:31							$INDEX1
00:11:14:31 00:11:15:27
00:11:15:27 00:11:15:28							$INDEX1
00:11:15:28 00:11:15:35
00:11:15:35 00:11:15:38							ONLY2A*	nu{r}
00:11:15:38 00:11:16:02
00:11:16:02 00:11:16:15						TO-GROPE-AROUND1^*
00:11:16:15 00:11:16:27
00:11:16:27 00:11:16:39	Yes, it was copied.					OFF6*		ab ab ab ab
00:11:16:39 00:11:17:07		COPY1A		kopie
00:11:17:07 00:11:17:10
00:11:17:10 00:11:17:12		YES2*		ja
00:11:17:12 00:11:17:15		YES2*		ja	Originally, they only existed at Oktoberfest.
00:11:17:15 00:11:17:27
00:11:17:27 00:11:17:29						YES1A*
00:11:17:29 00:11:17:34
00:11:17:34 00:11:17:40						$INDEX1*
00:11:17:40 00:11:18:00
00:11:18:00 00:11:18:06						TO-ORIGINATE1		[MG]
00:11:18:06 00:11:18:12
00:11:18:12 00:11:18:25							TO-BELONG1*
00:11:18:25 00:11:19:00
00:11:19:00 00:11:19:07						OKTOBERFEST1		oktoberfest
00:11:19:07 00:11:19:45
00:11:19:45 00:11:20:07							$GEST-OFF1^*
00:11:20:07 00:11:20:09
00:11:20:09 00:11:20:17					There’s always a very peaceful atmosphere when meeting others at Oktoberfest.
00:11:20:17 00:11:20:28						AND2A		und
00:11:20:28 00:11:20:37
00:11:20:37 00:11:20:40							$INDEX1
00:11:20:40 00:11:20:48
00:11:20:48 00:11:21:02						QUOTATION-MARKS1^
00:11:21:02 00:11:21:07
00:11:21:07 00:11:21:10							HERE1	[MG]
00:11:21:10 00:11:21:17
00:11:21:17 00:11:21:22						LIKE3A*		wie
00:11:21:22 00:11:21:32
00:11:21:32 00:11:21:40						TO-MEET1*		treffen
00:11:21:40 00:11:21:47
00:11:21:47 00:11:22:00						PRESENT-OR-HERE1*
00:11:22:00 00:11:22:06
00:11:22:06 00:11:22:11						LIKE-SAYING1		wie
00:11:22:11 00:11:22:18
00:11:22:18 00:11:22:29						PEACE1		friede
00:11:22:29 00:11:22:49
00:11:22:49 00:11:23:14						FINISH1
00:11:23:14 00:11:23:29
00:11:23:29 00:11:23:49						TOGETHER1A*		zusammen
00:11:23:49 00:11:24:15
00:11:24:15 00:11:24:27						TO-CELEBRATE1*		feier
00:11:24:27 00:11:24:29
00:11:24:29 00:11:24:38					Of course there are also some issues because of the alcohol.
00:11:24:38 00:11:24:44						THERE-IS3*		gib
00:11:24:44 00:11:25:10
00:11:25:10 00:11:25:16							ALCOHOL1	[MG]
00:11:25:16 00:11:25:27
00:11:25:27 00:11:25:33						$GEST-OFF1^
00:11:25:33 00:11:25:35
00:11:25:35 00:11:25:47					But I would call them exceptions.
00:11:25:47 00:11:26:12						OUTDOORS1B		ausnahme
00:11:26:12 00:11:26:21
00:11:26:21 00:11:26:29							EXCEPTION1B*
00:11:26:29 00:11:26:35
00:11:26:35 00:11:27:33						TO-SLIDE-OR-TO-PUSH2*
00:11:27:33 00:11:28:11
00:11:28:11 00:11:28:34					Most of the problems come from jealousy.
00:11:28:34 00:11:28:43						REASON4B		[MG]
00:11:28:43 00:11:28:49
00:11:28:49 00:11:29:02							MOST1A*	meist
00:11:29:02 00:11:29:13
00:11:29:13 00:11:29:25						JEALOUS2		eifersüchtig
00:11:29:25 00:11:29:37
00:11:29:37 00:11:29:43							$GEST-DECLINE1^*
00:11:29:43 00:11:30:18	At the first-aid station, one can see the number of people who get hospitalized.
00:11:30:18 00:11:30:21		$INDEX1
00:11:30:21 00:11:30:27
00:11:30:27 00:11:30:33		EQUAL8^*
00:11:30:33 00:11:30:41
00:11:30:41 00:11:30:46		BEST1		[MG]
00:11:30:46 00:11:31:10
00:11:31:10 00:11:31:32		CROSS-UPPER-ARM1^
00:11:31:32 00:11:31:41
00:11:31:41 00:11:32:12		$PROD*
00:11:32:12 00:11:32:19
00:11:32:19 00:11:32:22		WHERE1A*		wo
00:11:32:22 00:11:32:33
00:11:32:33 00:11:32:49		CROSS-UPPER-ARM1^
00:11:32:49 00:11:33:09
00:11:33:09 00:11:33:10		TO-LOOK3*
00:11:33:10 00:11:33:22
00:11:33:22 00:11:33:24		TO-LOOK1*
00:11:33:24 00:11:33:28
00:11:33:28 00:11:33:33		HOW-MUCH5*		wie viele
00:11:33:33 00:11:34:02
00:11:34:02 00:11:34:19		TRANSPORT2A*
00:11:34:19 00:11:34:21
00:11:34:21 00:11:34:24	That’s always a lot of people.
00:11:34:24 00:11:34:28		HOW-MUCH5*
00:11:34:28 00:11:34:35
00:11:34:35 00:11:34:43		MUCH1C		viel
00:11:34:43 00:11:35:01
00:11:35:01 00:11:35:13		$GEST-DECLINE1^*			Most of them get sent in as so called ‘Bierleiche’ [lit. beer corpse; someone being dead drunk due to too much beer].
00:11:35:13 00:11:35:27
00:11:35:27 00:11:35:33							$INDEX1
00:11:35:33 00:11:35:44
00:11:35:44 00:11:36:03							MOST1A	[MG]
00:11:36:03 00:11:36:14
00:11:36:14 00:11:36:18							NAME3^	nummer
00:11:36:18 00:11:36:21
00:11:36:21 00:11:36:25							$NUM-ONE-TO-TEN1A:1d	eins
00:11:36:25 00:11:36:37
00:11:36:37 00:11:36:47							BEER6	bierleiche
00:11:36:47 00:11:37:24
00:11:37:24 00:11:37:35							CORPSE1
00:11:37:35 00:11:37:41
00:11:37:41 00:11:38:04					The second biggest group is that of people with blood on their faces who got hurt in fistfights.
00:11:38:04 00:11:38:08							NAME3^*	nummer
00:11:38:08 00:11:38:19
00:11:38:19 00:11:38:28							$NUM-ONE-TO-TEN1A:2d*	zwei
00:11:38:28 00:11:38:34
00:11:38:34 00:11:39:17						TO-THRASH1
00:11:39:17 00:11:39:27
00:11:39:27 00:11:39:45							BLOOD1D*	blut
00:11:39:45 00:11:40:07
00:11:40:07 00:11:40:30	Injuries in general.
00:11:40:30 00:11:40:40		INJURY1A		verletzung
00:11:40:40 00:11:40:41
00:11:40:41 00:11:41:22		$GEST^
00:11:41:22 00:11:41:36					Unconscious people who collapsed due to the heat.
00:11:41:36 00:11:41:40		CLEAR1A*
00:11:41:40 00:11:41:45		CLEAR1A*				FAINT1*
00:11:41:45 00:11:42:10						FAINT1*
00:11:42:10 00:11:42:22
00:11:42:22 00:11:42:34		$GEST-OFF1^*
00:11:42:34 00:11:42:45
00:11:42:45 00:11:42:48							$GEST-DECLINE1^*
00:11:42:48 00:11:43:37							$GEST-DECLINE1^*
00:11:43:37 00:11:43:46
00:11:43:46 00:11:44:03							IF-OR-WHEN1A	wenn
00:11:44:03 00:11:44:24
00:11:44:24 00:11:44:35							SUN-BEATS-DOWN1A*	heiß
00:11:44:35 00:11:45:01
00:11:45:01 00:11:45:24							$GEST-OFF1^*
00:11:45:24 00:11:45:40
00:11:45:40 00:11:46:04						FAINT1		kollaps
00:11:46:04 00:11:46:09
00:11:46:09 00:11:47:41							$GEST-OFF1^*
00:11:47:41 00:11:47:47
00:11:47:47 00:11:48:11					If the weather is nice, the atmosphere is overwhelmingly great, but on the weekend, it’s packed.
00:11:48:11 00:11:48:15							IF-OR-WHEN1A	wenn
00:11:48:15 00:11:48:31
00:11:48:31 00:11:48:45							BEAUTIFUL5	schön
00:11:48:45 00:11:49:04
00:11:49:04 00:11:49:14							WEATHER6B	wetter
00:11:49:14 00:11:49:41
00:11:49:41 00:11:49:48							MOOD4	stimm{ung}
00:11:49:48 00:11:50:01
00:11:50:01 00:11:50:13						OVERWHELMED1		[MG]
00:11:50:13 00:11:50:21
00:11:50:21 00:11:50:39						FINISH1
00:11:50:39 00:11:51:25
00:11:51:25 00:11:51:38						FULL9*		v{oll}
00:11:51:38 00:11:52:00
00:11:52:00 00:11:52:04							ONLY2A*	nur
00:11:52:04 00:11:52:09
00:11:52:09 00:11:52:19						WEEKEND2		wochenende
00:11:52:19 00:11:52:30
00:11:52:30 00:11:52:47						FULL9		voll
00:11:52:47 00:11:53:03
00:11:53:03 00:11:53:10						FINISH1*
00:11:53:10 00:11:53:19
00:11:53:19 00:11:53:27						MASS-OF-PEOPLE-ACTIVE1*
00:11:53:27 00:11:53:34
00:11:53:34 00:11:53:38					By the entries to the beer tents one can always see a sign then that says ‘overcrowded’.
00:11:53:38 00:11:53:48							OR5*	oder
00:11:53:48 00:11:54:06
00:11:54:06 00:11:54:10						BEER6*		bierzelt
00:11:54:10 00:11:54:20
00:11:54:20 00:11:54:24						TENT2*
00:11:54:24 00:11:54:29
00:11:54:29 00:11:54:33						$INDEX1*
00:11:54:33 00:11:54:37
00:11:54:37 00:11:54:44						ENTRANCE2A
00:11:54:44 00:11:55:06
00:11:55:06 00:11:55:11						HEADING1^*
00:11:55:11 00:11:55:22
00:11:55:22 00:11:55:35						OFTEN3*		oft
00:11:55:35 00:11:55:45
00:11:55:45 00:11:56:02	If it’s sold out, one has to have a reservation.						OVER-OR-ABOUT1*	über
00:11:56:02 00:11:56:12
00:11:56:12 00:11:56:14		SOLD-OUT1		ausverkauft
00:11:56:14 00:11:56:19		SOLD-OUT1		ausverkauft		FAST3^*		voll
00:11:56:19 00:11:56:23						FAST3^*		voll
00:11:56:23 00:11:56:27		MUST1		muss
00:11:56:27 00:11:56:31
00:11:56:31 00:11:56:37		BEFOREHAND4*		vorher
00:11:56:37 00:11:56:40		BEFOREHAND4*				HEADING1^*
00:11:56:40 00:11:56:49
00:11:56:49 00:11:57:08		TO-MAKE-RESERVATIONS1
00:11:57:08 00:11:57:30
00:11:57:30 00:11:58:10
00:11:58:10 00:11:58:17							$GEST-DECLINE1^*
00:11:58:17 00:11:58:26					It gets harder and harder to book a seat.
00:11:58:26 00:11:58:28						NOW3		jetzt
00:11:58:28 00:11:58:42
00:11:58:42 00:11:59:16						HEAVY1A*		schwer schwer schwer
00:11:59:16 00:11:59:20
00:11:59:20 00:11:59:27					Three, four years ago, it was still way easier.
00:11:59:27 00:12:00:00							PAST-OR-BACK-THEN1*	früher
00:12:00:00 00:12:00:06
00:12:00:06 00:12:00:13							$NUM-ONE-TO-TEN1A:3d	drei
00:12:00:13 00:12:00:18
00:12:00:18 00:12:00:20							$NUM-ONE-TO-TEN1A:4d	vier
00:12:00:20 00:12:00:32
00:12:00:32 00:12:00:49						EASY-OR-LIGHT1*		leich{t}
00:12:00:49 00:12:01:10
00:12:01:10 00:12:01:13							PLACE1	platz
00:12:01:13 00:12:01:20
00:12:01:20 00:12:01:28						TO-OBTAIN3
00:12:01:28 00:12:01:31
00:12:01:31 00:12:01:35					Now the search for a place is annoying; it’s best to get there before ten in the morning.
00:12:01:35 00:12:01:39						NOW3		jetz{t}
00:12:01:39 00:12:02:17
00:12:02:17 00:12:02:37						HEAVY1A		schwer
00:12:02:37 00:12:03:02
00:12:03:02 00:12:03:08							TO-TRY1	such
00:12:03:08 00:12:03:20
00:12:03:20 00:12:03:30						FIGHT1A*		ka{mpf}
00:12:03:30 00:12:03:38
00:12:03:38 00:12:03:40							MUST1	mu{ss}
00:12:03:40 00:12:03:49
00:12:03:49 00:12:04:17	It’s because people’s mobility gets better and better.					EARLY3A*		früh
00:12:04:17 00:12:04:25		CLEAR1A*		klar
00:12:04:25 00:12:04:26
00:12:04:26 00:12:04:30						$NUM-ONE-TO-TEN1B:10		ze{hn}
00:12:04:30 00:12:04:38
00:12:04:38 00:12:04:39		BECAUSE1*		w{eil}
00:12:04:39 00:12:04:48		BECAUSE1*		w{eil}			TO-COME1*	ko{mmen}
00:12:04:48 00:12:04:49							TO-COME1*	ko{mmen}
00:12:04:49 00:12:05:02
00:12:05:02 00:12:05:16		PAST-OR-BACK-THEN1		früher
00:12:05:16 00:12:05:26
00:12:05:26 00:12:05:40		MOBILITY1B		mobil
00:12:05:40 00:12:05:46
00:12:05:46 00:12:06:08		AREA1A*
00:12:06:08 00:12:06:14
00:12:06:14 00:12:06:15		TO-NEED1*
00:12:06:15 00:12:06:18
00:12:06:18 00:12:06:20		HOW-QUESTION2*		wie
00:12:06:20 00:12:06:22
00:12:06:22 00:12:06:28		MORE1		jetzt mehr
00:12:06:28 00:12:06:49
00:12:06:49 00:12:07:08	One can come to Munich with the train or a plane from anywhere; many people do that.
00:12:07:08 00:12:07:10		TRAIN2A*		zug
00:12:07:10 00:12:07:22
00:12:07:22 00:12:07:35		TO-COME1
00:12:07:35 00:12:07:48
00:12:07:48 00:12:08:11			AIRPLANE2E*	flugzeug
00:12:08:11 00:12:08:14
00:12:08:14 00:12:08:20		CHEAP2*		billig
00:12:08:20 00:12:08:29
00:12:08:29 00:12:08:37		CAN2A		kann
00:12:08:37 00:12:08:48
00:12:08:48 00:12:09:06		MORE1		mehr
00:12:09:06 00:12:09:20
00:12:09:20 00:12:09:33		MASS-OF-PEOPLE-ACTIVE1^*
00:12:09:33 00:12:09:46
00:12:09:46 00:12:09:49		$GEST-OFF1^*
00:12:09:49 00:12:10:01
00:12:10:01 00:12:10:04	That’s why it gets packed more quickly.
00:12:10:04 00:12:10:14		THEREFORE1*		deshalb
00:12:10:14 00:12:10:25
00:12:10:25 00:12:10:37		FULL8		voll
00:12:10:37 00:12:10:43
00:12:10:43 00:12:11:01		FAST3A		schnell
00:12:11:01 00:12:11:06
00:12:11:06 00:12:11:09		$GEST-OFF1^*
00:12:11:09 00:12:12:00
00:12:12:00 00:12:12:16					More and more tourists come, as well.
00:12:12:16 00:12:12:20						NOW2*		jetzt
00:12:12:20 00:12:12:22
00:12:12:22 00:12:12:29						MORE3*		mehr
00:12:12:29 00:12:12:35
00:12:12:35 00:12:12:49						TOURIST1		touristen
00:12:12:49 00:12:13:09
00:12:13:09 00:12:13:32						TO-COME1*
00:12:13:32 00:12:13:34
00:12:13:34 00:12:13:43					The German visitors get less and less.
00:12:13:43 00:12:13:47						OVER-OR-ABOUT1^		auf
00:12:13:47 00:12:14:03
00:12:14:03 00:12:14:06						ON-PERSON1*
00:12:14:06 00:12:14:08
00:12:14:08 00:12:14:22							SELF1B	selbst
00:12:14:22 00:12:14:45
00:12:14:45 00:12:15:01							GERMAN1*	deutsch
00:12:15:01 00:12:15:20
00:12:15:20 00:12:16:07						LITTLE-BIT7A		immer we{niger} we{niger} we{niger} we{niger}
00:12:16:07 00:12:16:20
00:12:16:20 00:12:16:23						$GEST-OFF1^*		[MG]
00:12:16:23 00:12:16:25
00:12:16:25 00:12:16:34					They’ve already had enough of it.
00:12:16:34 00:12:16:38						$INDEX1*
00:12:16:38 00:12:16:48
00:12:16:48 00:12:17:10						TO-LET-GO1		ab
00:12:17:10 00:12:17:42
00:12:17:42 00:12:17:47						AND2B*		scho{n}
00:12:17:47 00:12:18:13
00:12:18:13 00:12:18:27							ENOUGH1B	genug
00:12:18:27 00:12:18:38
00:12:18:38 00:12:19:15						$GEST-OFF1^
00:12:19:15 00:12:19:18
00:12:19:18 00:12:19:33					The elderly visitors get less, too.
00:12:19:33 00:12:19:40						OLD9*		alt
00:12:19:40 00:12:19:45
00:12:19:45 00:12:19:48						ALWAYS1A*		immer
00:12:19:48 00:12:20:11
00:12:20:11 00:12:20:42						LITTLE-BIT7A		we{nig} we{nig} we{nig}
00:12:20:42 00:12:20:48
00:12:20:48 00:12:21:02					Everyone complains about the noise.
00:12:21:02 00:12:21:12							ALL1A	alle
00:12:21:12 00:12:21:28
00:12:21:28 00:12:21:38						LOUD2A		zu laut
00:12:21:38 00:12:21:44
00:12:21:44 00:12:22:34						$GEST-OFF1^
00:12:22:34 00:12:22:37					It used to be more comfortable with the Bavarian music.
00:12:22:37 00:12:23:06							PAST-OR-BACK-THEN1	früh
00:12:23:06 00:12:23:17
00:12:23:17 00:12:23:25						COSY2*		gemü{tlich}
00:12:23:25 00:12:23:30
00:12:23:30 00:12:23:44						GUITAR2		[MG]
00:12:23:44 00:12:24:04
00:12:24:04 00:12:24:07						AND2A*		und
00:12:24:07 00:12:24:17
00:12:24:17 00:12:24:30							BAVARIA1*	bay{ern}
00:12:24:30 00:12:24:34
00:12:24:34 00:12:24:42					Nowadays, there’s more and more modern music.
00:12:24:42 00:12:24:44						NOW3*		jetzt
00:12:24:44 00:12:25:00
00:12:25:00 00:12:25:01						MORE1*
00:12:25:01 00:12:25:06
00:12:25:06 00:12:25:18							MODERN1A	mod{ern}
00:12:25:18 00:12:25:21
00:12:25:21 00:12:25:31						GUITAR2*		[MG]
00:12:25:31 00:12:25:46
00:12:25:46 00:12:25:49					People are dancing on the tables like crazy people.
00:12:25:49 00:12:27:44						$PROD*		[MG]
00:12:27:44 00:12:28:08
00:12:28:08 00:12:28:16						$PROD*		[MG]
00:12:28:16 00:12:28:21
00:12:28:21 00:12:28:49						$PROD*		[MG]
00:12:28:49 00:12:29:01
00:12:29:01 00:12:29:09					That’s not what it used to be like.
00:12:29:09 00:12:29:18							PAST-OR-BACK-THEN1*	früh
00:12:29:18 00:12:29:29
00:12:29:29 00:12:29:43						NEVER2A*		niema{ls}
00:12:29:43 00:12:30:08
00:12:30:08 00:12:30:15							$GEST-OFF1^*
00:12:30:15 00:12:30:22	Weird.						$GEST-OFF1^*
00:12:30:22 00:12:30:26
00:12:30:26 00:12:30:36		WEIRD-STRANGE1*		[MG]	My father told me that that didn’t exist twenty or thirty years ago.
00:12:30:36 00:12:30:38		WEIRD-STRANGE1*		[MG]			BEFORE2	vor
00:12:30:38 00:12:30:39							BEFORE2	vor
00:12:30:39 00:12:30:45
00:12:30:45 00:12:30:49							$NUM-TENS2A:2d*	zwanzig
00:12:30:49 00:12:31:03
00:12:31:03 00:12:31:08							$NUM-TENS2A:3d*	dreißig
00:12:31:08 00:12:31:14
00:12:31:14 00:12:31:17							YEAR2A
00:12:31:17 00:12:31:23
00:12:31:23 00:12:31:29							PAST-OR-BACK-THEN1*	jahr
00:12:31:29 00:12:31:43
00:12:31:43 00:12:32:00							TO-LET-KNOW1A*	sagen
00:12:32:00 00:12:32:07
00:12:32:07 00:12:32:14							THERE-IS3*	gib
00:12:32:14 00:12:32:20
00:12:32:20 00:12:32:30						NOT-ANYMORE1A*		nicht
00:12:32:30 00:12:33:37
00:12:33:37 00:12:33:44							ALL1A
00:12:33:44 00:12:34:10	At the beginning of Oktoberfest, there’s always this parade with music and stuff.
00:12:34:10 00:12:34:12						MASS-OF-PEOPLE-ACTIVE1^*
00:12:34:12 00:12:34:13
00:12:34:13 00:12:34:19		YOU1*
00:12:34:19 00:12:34:22
00:12:34:22 00:12:34:23						CERTAIN1*		bestimmt
00:12:34:23 00:12:34:27
00:12:34:27 00:12:34:29		$GEST-ATTENTION1^
00:12:34:29 00:12:34:37		$GEST-ATTENTION1^				TIME1
00:12:34:37 00:12:34:46						TIME1
00:12:34:46 00:12:35:05
00:12:35:05 00:12:35:19		CELEBRATION1D*		oktoberfest
00:12:35:19 00:12:35:32
00:12:35:32 00:12:35:37		BEFOREHAND4*
00:12:35:37 00:12:35:46
00:12:35:46 00:12:36:02		BEGINNING1A*		anfang
00:12:36:02 00:12:36:09
00:12:36:09 00:12:36:13		ALWAYS1A		immer
00:12:36:13 00:12:36:26
00:12:36:26 00:12:37:26		PROCESSION1		[MG]
00:12:37:26 00:12:37:38
00:12:37:38 00:12:38:03		VIOLIN1^*
00:12:38:03 00:12:38:08
00:12:38:08 00:12:38:21		MUSIC1*		musik
00:12:38:21 00:12:38:32
00:12:38:32 00:12:38:41		TO-PLAY-THE-FLUTE1
00:12:38:41 00:12:39:03
00:12:39:03 00:12:39:18		PROCESSION1*		[MG]
00:12:39:18 00:12:39:24
00:12:39:24 00:12:39:27	What’s it called again?
00:12:39:27 00:12:39:32		HOW-QUESTION2*		wie
00:12:39:32 00:12:39:40
00:12:39:40 00:12:39:42		NAME2*
00:12:39:42 00:12:40:02
00:12:40:02 00:12:40:10		WORD3		wie heiß
00:12:40:10 00:12:40:14
00:12:40:14 00:12:40:23	Oktoberfest march?
00:12:40:23 00:12:40:46		CELEBRATION1D*		oktoberfest	I forgot.
00:12:40:46 00:12:40:49
00:12:40:49 00:12:41:00						I1
00:12:41:00 00:12:41:08
00:12:41:08 00:12:41:12		TO-MARCH1		marsch
00:12:41:12 00:12:41:22							TO-FORGET1*	verg{essen}
00:12:41:22 00:12:41:27
00:12:41:27 00:12:41:34
00:12:41:34 00:12:42:00					The parade, you’re right, it has a special name.
00:12:42:00 00:12:42:04
00:12:42:04 00:12:42:13						CELEBRATION1A*		festumzug
00:12:42:13 00:12:42:25
00:12:42:25 00:12:42:32							$ALPHA1:U-N
00:12:42:32 00:12:42:46
00:12:42:46 00:12:43:06						$GEST-TO-PONDER1^		aber
00:12:43:06 00:12:43:18
00:12:43:18 00:12:43:22						EXACTLY2		[MG]
00:12:43:22 00:12:43:27
00:12:43:27 00:12:43:31						NAME2		name
00:12:43:31 00:12:43:40
00:12:43:40 00:12:44:00						WORD1*
00:12:44:00 00:12:44:11
00:12:44:11 00:12:44:22					There’s one in the beginning and then a second one.
00:12:44:22 00:12:44:33						BEGINNING1A*		anfang
00:12:44:33 00:12:44:45
00:12:44:45 00:12:45:00						$INDEX1
00:12:45:00 00:12:45:04
00:12:45:04 00:12:45:10						AND2A*		und
00:12:45:10 00:12:45:14
00:12:45:14 00:12:45:19						$NUM-ORDINAL1:2d		zweite
00:12:45:19 00:12:45:26
00:12:45:26 00:12:46:11						MIDDLE1A^
00:12:46:11 00:12:46:15	Right, a march.
00:12:46:15 00:12:46:23		YES2
00:12:46:23 00:12:46:36
00:12:46:36 00:12:46:39		TO-MARCH1			The first one is more well-known.
00:12:46:39 00:12:46:44							$INDEX1*
00:12:46:44 00:12:46:49
00:12:46:49 00:12:47:06							$NUM-ORDINAL1:1d	erst
00:12:47:06 00:12:47:08
00:12:47:08 00:12:47:16
00:12:47:16 00:12:47:27						WELL-KNOWN3D		bekannt
00:12:47:27 00:12:47:28						WELL-KNOWN3D
00:12:47:28 00:12:47:30
00:12:47:30 00:12:47:32							$INDEX1
00:12:47:32 00:12:47:40
00:12:47:40 00:12:48:12							$INDEX1*
00:12:48:12 00:12:48:27
00:12:48:27 00:12:48:42					All Bavarian regions are represented.
00:12:48:42 00:12:49:15						EVERYTHING1B		alles
00:12:49:15 00:12:49:25
00:12:49:25 00:12:50:09						DISTINCT2A*		[MG]
00:12:50:09 00:12:50:19
00:12:50:19 00:12:50:44							DIALECT1^*	region
00:12:50:44 00:12:51:05
00:12:51:05 00:12:51:12							BAVARIA1*	bay{ern}
00:12:51:12 00:12:51:17
00:12:51:17 00:12:51:18					They wear their typical clothes and carry flags that show where the group is from.
00:12:51:18 00:12:51:34						TO-DRESS-UPPER-BODY1C		anzug
00:12:51:34 00:12:51:46
00:12:51:46 00:12:51:49							DIALECT1^*
00:12:51:49 00:12:52:11
00:12:52:11 00:12:52:15						WITH1A*		mit
00:12:52:15 00:12:52:27
00:12:52:27 00:12:52:44						DEMONSTRATION1*
00:12:52:44 00:12:53:13
00:12:53:13 00:12:53:27						HEADING1
00:12:53:27 00:12:53:31
00:12:53:31 00:12:53:35					From Munich, for example, or Rosenheim or Upper Bavaria.
00:12:53:35 00:12:53:46							FROM7*	aus
00:12:53:46 00:12:54:06
00:12:54:06 00:12:54:17							ABOVE3A^	oberbayern
00:12:54:17 00:12:54:21
00:12:54:21 00:12:54:27							BAVARIA1*
00:12:54:27 00:12:54:38
00:12:54:38 00:12:54:42						OR5*		oder
00:12:54:42 00:12:55:06
00:12:55:06 00:12:55:09						MUNICH1A*		mün{chen}
00:12:55:09 00:12:55:22
00:12:55:22 00:12:55:41						OR5		oder
00:12:55:41 00:12:56:06
00:12:56:06 00:12:56:10						$INDEX1
00:12:56:10 00:12:56:18
00:12:56:18 00:12:56:34							$GEST-OFF1^*
00:12:56:34 00:12:56:41
00:12:56:41 00:12:56:48	Yes, the villages, exactly.						ROSE2	rosenheim
00:12:56:48 00:12:57:05
00:12:57:05 00:12:57:12						TO-SLEEP2^*
00:12:57:12 00:12:57:17		VILLAGE3		dorf		TO-SLEEP2^*
00:12:57:17 00:12:57:19		VILLAGE3
00:12:57:19 00:12:57:31
00:12:57:31 00:12:57:32							$GEST-OFF1^*
00:12:57:32 00:12:57:33		AREA1A*					$GEST-OFF1^*
00:12:57:33 00:12:57:38
00:12:57:38 00:12:57:44					All the villages from the regions represent themselves.
00:12:57:44 00:12:57:47							$INDEX1
00:12:57:47 00:12:58:05
00:12:58:05 00:12:58:09							VILLAGE3	dorf
00:12:58:09 00:12:58:14							VILLAGE3
00:12:58:14 00:12:58:21
00:12:58:21 00:12:59:07							HIS-HER1*
00:12:59:07 00:12:59:18
00:12:59:18 00:12:59:45						TO-SHOW1A*
00:12:59:45 00:13:00:07
00:13:00:07 00:13:00:14					Every Sunday/
00:13:00:14 00:13:00:18						ALSO1A*		auch
00:13:00:18 00:13:00:20		YES1A				ALSO1A*		auch
00:13:00:20 00:13:00:25		YES1A
00:13:00:25 00:13:00:43
00:13:00:43 00:13:01:04						CERTAIN1*		besti{mmt}
00:13:01:04 00:13:01:10
00:13:01:10 00:13:01:12							TO-BELIEVE2B	glaube
00:13:01:12 00:13:01:24
00:13:01:24 00:13:01:38							EVERYONE1A*	jede
00:13:01:38 00:13:01:48
00:13:01:48 00:13:02:06						SUNDAY2		sonntag
00:13:02:06 00:13:02:18
00:13:02:18 00:13:02:42							$INDEX1*
00:13:02:42 00:13:03:00					Maybe just every second Sunday, a lot of musicians perform at the Bavaria Statue.
00:13:03:00 00:13:03:08							OR6A*	oder
00:13:03:08 00:13:03:09
00:13:03:09 00:13:03:15							TO-BELIEVE2B
00:13:03:15 00:13:03:23
00:13:03:23 00:13:03:35							$NUM-ORDINAL1:2d	zweit
00:13:03:35 00:13:03:47
00:13:03:47 00:13:04:09						SUNDAY2		sonntag
00:13:04:09 00:13:04:25
00:13:04:25 00:13:04:28							$INDEX1
00:13:04:28 00:13:04:36
00:13:04:36 00:13:05:01							$GEST-TO-PONDER1^
00:13:05:01 00:13:05:03
00:13:05:03 00:13:05:11						BIG3A*		groß
00:13:05:11 00:13:05:49
00:13:05:49 00:13:06:09							BAVARIA1^*	bavaria
00:13:06:09 00:13:06:16
00:13:06:16 00:13:07:19						$PROD*
00:13:07:19 00:13:07:32
00:13:07:32 00:13:07:43						LION2		löwe
00:13:07:43 00:13:07:48
00:13:07:48 00:13:08:16						LOCATION1A*
00:13:08:16 00:13:08:40
00:13:08:40 00:13:08:43						$PROD*
00:13:08:43 00:13:09:29
00:13:09:29 00:13:09:30							TO-STAND1*
00:13:09:30 00:13:09:40
00:13:09:40 00:13:09:44						TO-PLAY2*		spiel
00:13:09:44 00:13:10:13
00:13:10:13 00:13:10:29						MUSIC1		musik
00:13:10:29 00:13:11:05
00:13:11:05 00:13:11:40						$PROD*
00:13:11:40 00:13:11:41
00:13:11:41 00:13:12:03					These are all the music ensembles from the HB [Hofbräuhaus], the Hacker-Pschorr, the Spaten, the Ochsenbraterei, the Augustiner and the Paulaner [brewery names].
00:13:12:03 00:13:12:09						MUSIC1*		musik
00:13:12:09 00:13:12:16
00:13:12:16 00:13:12:23						$PROD*
00:13:12:23 00:13:12:33
00:13:12:33 00:13:12:38							FROM-OR-BY-OR-OF3	von
00:13:12:38 00:13:13:02
00:13:13:02 00:13:13:25							TERRITORY1
00:13:13:25 00:13:13:36
00:13:13:36 00:13:13:47						TOGETHER1A*
00:13:13:47 00:13:14:09
00:13:14:09 00:13:14:11							$INDEX1
00:13:14:11 00:13:14:15
00:13:14:15 00:13:14:23							$GEST-TO-PONDER1^
00:13:14:23 00:13:14:34
00:13:14:34 00:13:14:45							BEER6	bierzelt
00:13:14:45 00:13:15:07
00:13:15:07 00:13:15:24						TENT2
00:13:15:24 00:13:15:49
00:13:15:49 00:13:16:15							$ALPHA1:H-B	h-b
00:13:16:15 00:13:16:37
00:13:16:37 00:13:17:19							$ALPHA1:P-SCH-O-R-U*	pschorr
00:13:17:19 00:13:17:24
00:13:17:24 00:13:17:43							NEXT-TO1A
00:13:17:43 00:13:18:18
00:13:18:18 00:13:18:37						SPADE1A		spaten
00:13:18:37 00:13:19:13
00:13:19:13 00:13:19:20						HORNS1C^		ochsenbraten
00:13:19:20 00:13:19:30
00:13:19:30 00:13:19:32						TO-ROAST-OR-TO-FRY1
00:13:19:32 00:13:19:39
00:13:19:39 00:13:20:05						TO-ROLL1B^*
00:13:20:05 00:13:20:10
00:13:20:10 00:13:20:16							$INDEX1
00:13:20:16 00:13:20:17
00:13:20:17 00:13:20:38							$INDEX1*
00:13:20:38 00:13:21:00
00:13:21:00 00:13:21:33							$GEST-OFF1^*
00:13:21:33 00:13:21:47
00:13:21:47 00:13:22:38						AUGUSTINIAN1		augustiner
00:13:22:38 00:13:23:06
00:13:23:06 00:13:23:13							$GEST-OFF1^*
00:13:23:13 00:13:23:22
00:13:23:22 00:13:23:38							$ALPHA1:P-#-L	paulaner
00:13:23:38 00:13:23:46
00:13:23:46 00:13:23:49					Everyone meets up there and plays music together.
00:13:23:49 00:13:24:12							YOU-PLURAL1A
00:13:24:12 00:13:24:23
00:13:24:23 00:13:24:28						MUSIC1		musik
00:13:24:28 00:13:24:40
00:13:24:40 00:13:24:48						MASS-OF-PEOPLE-ACTIVE2*
00:13:24:48 00:13:25:01
00:13:25:01 00:13:25:12						TO-MEET1		treffe
00:13:25:12 00:13:25:29
00:13:25:29 00:13:26:04						MASS-OF-PEOPLE-ACTIVE2*
00:13:26:04 00:13:26:28
00:13:26:28 00:13:26:36						WIND-INSTRUMENT1^		[MG]
00:13:26:36 00:13:26:41
00:13:26:41 00:13:27:09					When they’re done, they go to the Oktoberfest together and go to their respective tents.
00:13:27:09 00:13:27:22							DONE1B*	fer{tig}
00:13:27:22 00:13:27:40
00:13:27:40 00:13:27:45						$INDEX1		alle
00:13:27:45 00:13:28:14
00:13:28:14 00:13:28:49						MASS-OF-PEOPLE-ACTIVE5*		[MG]
00:13:28:49 00:13:29:17
00:13:29:17 00:13:30:01							$PROD*	[MG]
00:13:30:01 00:13:30:18
00:13:30:18 00:13:30:23							THEN1A	dann
00:13:30:23 00:13:30:31
00:13:30:31 00:13:30:36						BEER6*		bierzelt
00:13:30:36 00:13:30:49
00:13:30:49 00:13:31:31						LOCATION1A^*
00:13:31:31 00:13:32:07
00:13:32:07 00:13:33:27						$PROD*		[MG]
00:13:33:27 00:13:33:29
00:13:33:29 00:13:33:36					It’s always around ten or half past ten, they come every year.
00:13:33:36 00:13:33:39						ALWAYS1A*		immer
00:13:33:39 00:13:33:46
00:13:33:46 00:13:34:05						$NUM-ONE-TO-TEN1B:10		ze{hn}
00:13:34:05 00:13:34:10
00:13:34:10 00:13:34:23						CLOCK1		uhr
00:13:34:23 00:13:34:39
00:13:34:39 00:13:34:44						OR5*		oder
00:13:34:44 00:13:34:47
00:13:34:47 00:13:35:01						HALF1A		halb
00:13:35:01 00:13:35:04
00:13:35:04 00:13:35:08						$NUM-TEEN2A:1d*		elf
00:13:35:08 00:13:35:13
00:13:35:13 00:13:36:00							BETWEEN1B*
00:13:36:00 00:13:36:14	The opening of the Oktoberfest is always celebrated with the tapping of the first barrel of beer.
00:13:36:14 00:13:36:20							$INDEX1
00:13:36:20 00:13:36:27
00:13:36:27 00:13:36:32		ALSO1A		auch
00:13:36:32 00:13:36:33
00:13:36:33 00:13:36:36						ALWAYS1A*		immer
00:13:36:36 00:13:36:38		YOU1*
00:13:36:38 00:13:36:45
00:13:36:45 00:13:37:06
00:13:37:06 00:13:37:24							TO-COME1*	komme
00:13:37:24 00:13:37:31
00:13:37:31 00:13:37:41		OPENING1		eröffnung
00:13:37:41 00:13:37:45
00:13:37:45 00:13:37:48		ALWAYS1A*		immer
00:13:37:48 00:13:38:27
00:13:38:27 00:13:39:02		$PROD*
00:13:39:02 00:13:39:17
00:13:39:17 00:13:39:25		GO-START2*		los
00:13:39:25 00:13:39:39
00:13:39:39 00:13:40:00		UNTIL-THEN2
00:13:40:00 00:13:40:14
00:13:40:14 00:13:40:24		OPENING1		eröffn
00:13:40:24 00:13:40:29		OPENING1		eröffn	What’s the well-known phrase again?
00:13:40:29 00:13:40:33
00:13:40:33 00:13:40:38						WHAT1B		was
00:13:40:38 00:13:40:41
00:13:40:41 00:13:40:48		UNTIL-THEN2
00:13:40:48 00:13:41:00
00:13:41:00 00:13:41:03						WELL-KNOWN1A		beka{nnt}
00:13:41:03 00:13:41:07		YES1A*				WELL-KNOWN1A		beka{nnt}
00:13:41:07 00:13:41:08		YES1A*
00:13:41:08 00:13:41:14
00:13:41:14 00:13:41:19							WORD2	wo{rt}
00:13:41:19 00:13:41:28
00:13:41:28 00:13:41:41						WHAT1B		was
00:13:41:41 00:13:41:46	O’zapft is! [Bavarian for: It’s tapped]					WHAT1B		was
00:13:41:46 00:13:42:05
00:13:42:05 00:13:42:09		$ALPHA1:O		o'zapft
00:13:42:09 00:13:42:31
00:13:42:31 00:13:43:11		TO-BEAT1^*			O’zapft is!
00:13:43:11 00:13:43:14							$INDEX1
00:13:43:14 00:13:43:25
00:13:43:25 00:13:44:23							$ALPHA1:O-*	o'zapf
00:13:44:23 00:13:44:34
00:13:44:34 00:13:45:01						$PROD*
00:13:45:01 00:13:45:04
00:13:45:04 00:13:45:10					Always at eleven o’clock, on the dot.
00:13:45:10 00:13:45:27							$NUM-TEEN2A:1d	elf
00:13:45:27 00:13:45:31
00:13:45:31 00:13:46:05						CLOCK1		uhr
00:13:46:05 00:13:47:00
00:13:47:00 00:13:47:21					That’s the go-ahead, after that, they can start selling beer.
00:13:47:21 00:13:47:25						$PROD*
00:13:47:25 00:13:47:38
00:13:47:38 00:13:47:44						TOTALLY-FINE1*
00:13:47:44 00:13:48:03
00:13:48:03 00:13:48:19						OKTOBERFEST1*		oktoberfest
00:13:48:19 00:13:48:41
00:13:48:41 00:13:49:24						FREE1^*		[MG]
00:13:49:24 00:13:49:43
00:13:49:43 00:13:50:08						BEER6*		bier
00:13:50:08 00:13:50:30
00:13:50:30 00:13:51:04						TO-SPREAD2*		[MG]
00:13:51:04 00:13:51:25
00:13:51:25 00:13:51:31					Not before that.
00:13:51:31 00:13:51:38						BEFOREHAND2*		vor{her}
00:13:51:38 00:13:51:48
00:13:51:48 00:13:52:19							NO1A	ni{cht}
00:13:52:19 00:13:52:40	Until then, one has to be quiet and wait patiently.
00:13:52:40 00:13:52:43		TO-BE-SILENT3		[MG]
00:13:52:43 00:13:52:49
00:13:52:49 00:13:53:12		TO-BEAR1A*		[MG]
00:13:53:12 00:13:53:22
00:13:53:22 00:13:53:37		TO-ACCEPT-STH3B*		[MG]
00:13:53:37 00:13:53:46					Do you know which tent they tap the barrel in?
00:13:53:46 00:13:53:48							WHERE1A*	wo
00:13:53:48 00:13:54:07		TO-SIT1A*		[MG]
00:13:54:07 00:13:54:09		TO-SIT1A*		[MG]		REASON4A^*
00:13:54:09 00:13:54:22						REASON4A^*
00:13:54:22 00:13:54:36
00:13:54:36 00:13:54:41							$PROD*	o'zapf
00:13:54:41 00:13:54:48
00:13:54:48 00:13:55:04						BEGINNING1A		anfang
00:13:55:04 00:13:55:12
00:13:55:12 00:13:55:24						WHERE1B		wo
00:13:55:24 00:13:56:07
00:13:56:07 00:13:56:14						WHAT1A^		welche
00:13:56:14 00:13:56:20
00:13:56:20 00:13:56:27						TO-BE-CALLED2		heiß
00:13:56:27 00:13:56:48
00:13:56:48 00:13:57:06							BEER6*	bierzelt
00:13:57:06 00:13:57:12
00:13:57:12 00:13:57:19						TENT2
00:13:57:19 00:13:57:36
00:13:57:36 00:13:57:48	No, I don’t know.						$INDEX1*
00:13:57:48 00:13:58:01		$GEST^		[MG]			$INDEX1*
00:13:58:01 00:13:58:04		$GEST^		[MG]
00:13:58:04 00:13:58:05
00:13:58:05 00:13:58:13					I think it’s in the Schottenhamel.
00:13:58:13 00:13:58:17							I1	ich
00:13:58:17 00:13:58:20
00:13:58:20 00:13:58:22		DONT-KNOW2*		[MG]
00:13:58:22 00:13:58:27		DONT-KNOW2*		[MG]			TO-BELIEVE2A*	glaub
00:13:58:27 00:13:58:32							TO-BELIEVE2A*
00:13:58:32 00:13:58:34
00:13:58:34 00:13:58:35		I1					$INDEX1
00:13:58:35 00:13:58:36							$INDEX1
00:13:58:36 00:13:58:45
00:13:58:45 00:13:59:00							SCOTLAND1	schotten
00:13:59:00 00:13:59:15							SCOTLAND1
00:13:59:15 00:13:59:26
00:13:59:26 00:13:59:45							$INDEX1
00:13:59:45 00:14:00:06
00:14:00:06 00:14:00:11	Schottenhamel?
00:14:00:11 00:14:00:21							SCOTLAND1	schottenhamel
00:14:00:21 00:14:00:27		$ALPHA1:SCH		schottenheamel			SCOTLAND1
00:14:00:27 00:14:00:28		$ALPHA1:SCH
00:14:00:28 00:14:00:32
00:14:00:32 00:14:00:41		$ALPHA1:H
00:14:00:41 00:14:00:47
00:14:00:47 00:14:01:13							$ALPHA1:H-#-M-#-L
00:14:01:13 00:14:01:21
00:14:01:21 00:14:01:24							TO-BELIEVE2B*	glaube
00:14:01:24 00:14:01:31
00:14:01:31 00:14:01:37							I1
00:14:01:37 00:14:02:10
00:14:02:10 00:14:03:45
00:14:03:45 00:14:04:23					I think so.	$ORAL^		glaube
00:14:04:23 00:14:04:27					What else?
00:14:04:27 00:14:05:01						$ORAL^		was gib
00:14:05:01 00:14:05:30
00:14:05:30 00:14:11:30									What about the traditional clothing?
00:14:11:30 00:14:13:15
00:14:13:15 00:14:13:49					There’s the old, the original clothing, and the new traditional clothes.
00:14:13:49 00:14:14:06							$GEST-TO-PONDER1^
00:14:14:06 00:14:14:20
00:14:14:20 00:14:14:30							THERE-IS3*	gib
00:14:14:30 00:14:14:46
00:14:14:46 00:14:15:13							OLD3	al{t}
00:14:15:13 00:14:16:05
00:14:16:05 00:14:16:15						ORIGINAL2*		ori{ginal}
00:14:16:15 00:14:16:26
00:14:16:26 00:14:16:28						OR5*		oder
00:14:16:28 00:14:16:39
00:14:16:39 00:14:17:03						NEW1A		neu
00:14:17:03 00:14:17:14
00:14:17:14 00:14:17:25							$GEST-OFF1^*
00:14:17:25 00:14:17:31	It’s modern.
00:14:17:31 00:14:17:38					At the moment, the new, modern version is very on trend.
00:14:17:38 00:14:17:41						NOW3*		jetz{t}
00:14:17:41 00:14:18:02		MODERN1A		modern		NOW3*		jetz{t}
00:14:18:02 00:14:18:07		MODERN1A
00:14:18:07 00:14:18:12
00:14:18:12 00:14:18:32		$GEST-OFF1^*				MORE3		mehr mehr
00:14:18:32 00:14:18:41
00:14:18:41 00:14:19:02						NEW1A		neu
00:14:19:02 00:14:19:10
00:14:19:10 00:14:19:18							MODERN1A	modern
00:14:19:18 00:14:19:25
00:14:19:25 00:14:19:30						CLOTHES5B
00:14:19:30 00:14:19:47						CLOTHES5B
00:14:19:47 00:14:20:08
00:14:20:08 00:14:20:14					Bavarian Lederhosen, but in a modern version.
00:14:20:14 00:14:20:20							$INDEX1
00:14:20:20 00:14:20:35
00:14:20:35 00:14:20:40						CLOTHES1A^*		bayer{ische}
00:14:20:40 00:14:20:45
00:14:20:45 00:14:21:09						LEATHER1B		leder
00:14:21:09 00:14:21:35
00:14:21:35 00:14:21:47							BAVARIA1*	bayer{ische}
00:14:21:47 00:14:22:04
00:14:22:04 00:14:22:15						LEATHER1B		lederhose
00:14:22:15 00:14:22:27
00:14:22:27 00:14:22:38						TROUSERS1B
00:14:22:38 00:14:23:24
00:14:23:24 00:14:23:31						NEW1A		neu
00:14:23:31 00:14:23:37
00:14:23:37 00:14:24:00	They’re brown and go down to approximately the middle of the shin.						MODERN1A*	modern
00:14:24:00 00:14:24:09
00:14:24:09 00:14:24:37		COLOUR1A		farbe	Under the knee, exactly.
00:14:24:37 00:14:24:46		COLOUR1A		farbe			$PROD*
00:14:24:46 00:14:25:11
00:14:25:11 00:14:25:15		BROWN4*		braun
00:14:25:15 00:14:25:36
00:14:25:36 00:14:25:41		$PROD*
00:14:25:41 00:14:26:07
00:14:26:07 00:14:26:14						GENUINE1		[MG]
00:14:26:14 00:14:26:15
00:14:26:15 00:14:26:26
00:14:26:26 00:14:26:27		$PROD*		immer kurz
00:14:26:27 00:14:26:34						$PROD*
00:14:26:34 00:14:26:35
00:14:26:35 00:14:26:47					The traditional very old clothes are short.
00:14:26:47 00:14:27:00
00:14:27:00 00:14:27:06							BUT1*	aber
00:14:27:06 00:14:27:10
00:14:27:10 00:14:27:14		ALWAYS5A*		immer
00:14:27:14 00:14:27:20
00:14:27:20 00:14:27:29							OLD5A	al{t}
00:14:27:29 00:14:27:41		$PROD*		schien{bein}			OLD5A	al{t}
00:14:27:41 00:14:28:04
00:14:28:04 00:14:28:13							PAST-OR-BACK-THEN1*	[MG]
00:14:28:13 00:14:28:20							PAST-OR-BACK-THEN1*	[MG]
00:14:28:20 00:14:28:37
00:14:28:37 00:14:29:13						SHORTS1
00:14:29:13 00:14:29:30
00:14:29:30 00:14:30:13						SHORTS2
00:14:30:13 00:14:30:29
00:14:30:29 00:14:30:41						SHORTS1
00:14:30:41 00:14:30:48
00:14:30:48 00:14:31:27					With green Loferl [traditional type of leg warmer] under the knee.
00:14:31:27 00:14:31:33						GREEN9B*		grün
00:14:31:33 00:14:32:10
00:14:32:10 00:14:33:26						$PROD*
00:14:33:26 00:14:33:36
00:14:33:36 00:14:34:04					The socks are short, and the green stripe is an addition.
00:14:34:04 00:14:34:09						TO-PUT-ON-SHOES1^*		strümpf kurz
00:14:34:09 00:14:34:19
00:14:34:19 00:14:34:26						$PROD*
00:14:34:26 00:14:34:48
00:14:34:48 00:14:35:17						$PROD*		gürtel grün
00:14:35:17 00:14:35:32
00:14:35:32 00:14:35:34						WHOLE1A*		extra
00:14:35:34 00:14:35:37
00:14:35:37 00:14:35:42						ALONE4*		allein
00:14:35:42 00:14:36:10
00:14:36:10 00:14:36:44						$PROD*
00:14:36:44 00:14:37:33
00:14:37:33 00:14:37:39					That’s how it was traditionally.
00:14:37:39 00:14:37:48						SHORTS1
00:14:37:48 00:14:38:20
00:14:38:20 00:14:38:26							$NUM-ORDINAL1:1d	erste
00:14:38:26 00:14:38:37
00:14:38:37 00:14:38:48						TO-ORIGINATE1
00:14:38:48 00:14:39:08
00:14:39:08 00:14:39:11					The modern variant came later, with the longer pants.
00:14:39:11 00:14:39:13							$INDEX1	später
00:14:39:13 00:14:39:20
00:14:39:20 00:14:39:25						LATER7*
00:14:39:25 00:14:39:32	But the Lederhosen come with suspenders and a drop front flap, right?					LATER7*
00:14:39:32 00:14:39:38
00:14:39:38 00:14:40:00							MODERN1A	mode{rn}
00:14:40:00 00:14:40:04
00:14:40:04 00:14:40:49		$PROD*		latzhose		$PROD*
00:14:40:49 00:14:41:04		$PROD*		latzhose
00:14:41:04 00:14:41:18					Yes, right, a flap.
00:14:41:18 00:14:41:19						$PROD*		genau
00:14:41:19 00:14:41:25		RIGHT-OR-AGREED1A		stimmt		$PROD*		genau
00:14:41:25 00:14:41:27		RIGHT-OR-AGREED1A		stimmt
00:14:41:27 00:14:41:41
00:14:41:41 00:14:42:00		$PROD*
00:14:42:00 00:14:42:13		$PROD*				$PROD*		mit
00:14:42:13 00:14:42:23
00:14:42:23 00:14:42:27		YES2
00:14:42:27 00:14:42:32		YES2
00:14:42:32 00:14:42:38					The flap is embroidered with colorful symbols.
00:14:42:38 00:14:42:44						LIKE3A*		wie
00:14:42:44 00:14:43:02
00:14:43:02 00:14:43:05		$PROD*		[MG]
00:14:43:05 00:14:43:15						SIGN-OR-DRAWING1B		zeichen
00:14:43:15 00:14:43:22
00:14:43:22 00:14:43:30						COLOUR1B*		farbe
00:14:43:30 00:14:43:46
00:14:43:46 00:14:44:06							$PROD*
00:14:44:06 00:14:44:15
00:14:44:15 00:14:44:16		YES2*
00:14:44:16 00:14:44:18		YES2*
00:14:44:18 00:14:44:30
00:14:44:30 00:14:44:40							OBJECT-ON-NECKLACE1^
00:14:44:40 00:14:45:08
00:14:45:08 00:14:45:13						SYMBOL2B*		symbol
00:14:45:13 00:14:45:20
00:14:45:20 00:14:45:27							HIS-HER1
00:14:45:27 00:14:45:45
00:14:45:45 00:14:46:01							$PROD*
00:14:46:01 00:14:46:09
00:14:46:09 00:14:46:29						$PROD*
00:14:46:29 00:14:46:34
00:14:46:34 00:14:46:47					With that, one wears a hat with a feather and a red and white collar.
00:14:46:47 00:14:47:06						HAT2A		hut
00:14:47:06 00:14:47:25
00:14:47:25 00:14:47:49							$PROD*	[MG]
00:14:47:49 00:14:48:02	Of course, the hat with the feather.						$PROD*	[MG]
00:14:48:02 00:14:48:10
00:14:48:10 00:14:48:17						TYPICAL1*		typisch
00:14:48:17 00:14:48:22
00:14:48:22 00:14:48:26							RED1A*	rot-weiß
00:14:48:26 00:14:48:27
00:14:48:27 00:14:48:28							WHITE1B
00:14:48:28 00:14:48:32		CLEAR1B*		klar			WHITE1B
00:14:48:32 00:14:48:33		CLEAR1B*		klar
00:14:48:33 00:14:48:37
00:14:48:37 00:14:48:38		FEATHER3*		feder
00:14:48:38 00:14:49:05		FEATHER3*		feder		SHIRT3*
00:14:49:05 00:14:49:12						SHIRT3*
00:14:49:12 00:14:49:25
00:14:49:25 00:14:49:32		$PROD*		[MG]
00:14:49:32 00:14:49:47		$PROD*		[MG]	There are different hats with feathers.
00:14:49:47 00:14:49:49
00:14:49:49 00:14:50:14							$PROD*	feder
00:14:50:14 00:14:50:23
00:14:50:23 00:14:50:27		HAT2A
00:14:50:27 00:14:50:48		$PROD*		[MG]		DISTINCT3		[MG]
00:14:50:48 00:14:51:03						DISTINCT3		[MG]
00:14:51:03 00:14:51:07
00:14:51:07 00:14:51:24		YES1A
00:14:51:24 00:14:52:00
00:14:52:00 00:14:52:27	The hat is green or brown.
00:14:52:27 00:14:52:28		HAT2A		hut
00:14:52:28 00:14:52:39
00:14:52:39 00:14:52:46		INTEREST1A		[MG]	With time, it changed and became more modern.
00:14:52:46 00:14:53:02							THEN1A*
00:14:53:02 00:14:53:03
00:14:53:03 00:14:53:08
00:14:53:08 00:14:53:14						TO-DEVELOP1A
00:14:53:14 00:14:53:21		$LIST1:2of2d*
00:14:53:21 00:14:53:29
00:14:53:29 00:14:53:31		BROWN4*		braun
00:14:53:31 00:14:53:32
00:14:53:32 00:14:53:49
00:14:53:49 00:14:54:11							MODERN1A	modern
00:14:54:11 00:14:54:15
00:14:54:15 00:14:54:17					That way, young people discovered it for themselves.
00:14:54:17 00:14:54:19							FOR1*	für
00:14:54:19 00:14:54:30
00:14:54:30 00:14:54:46							YOUNG1	jugendlich
00:14:54:46 00:14:55:09
00:14:55:09 00:14:55:18							MORE1	mehr
00:14:55:18 00:14:55:38
00:14:55:38 00:14:56:04						TO-SPREAD2		[MG]
00:14:56:04 00:14:56:16
00:14:56:16 00:14:56:23						MOOD6		stimm{ung}
00:14:56:23 00:14:56:41
00:14:56:41 00:14:56:46						WITH1A*		mitmach
00:14:56:46 00:14:57:04
00:14:57:04 00:14:57:12						TO-MAKE1
00:14:57:12 00:14:57:15
00:14:57:15 00:14:57:17					There were no young people wearing traditional clothes back in the day.
00:14:57:17 00:14:57:27							PAST-OR-BACK-THEN1*	früher
00:14:57:27 00:14:57:37
00:14:57:37 00:14:57:44							YOUNG1	jung
00:14:57:44 00:14:57:49
00:14:57:49 00:14:58:04							NOT3A	nicht
00:14:58:04 00:14:58:17
00:14:58:17 00:14:58:28							NO-INTEREST1	[MG]
00:14:58:28 00:14:58:46
00:14:58:46 00:14:59:12							$GEST-DECLINE1^*
00:14:59:12 00:14:59:18
00:14:59:18 00:14:59:27					They thought it was boring and more fitting for grandpas and grandmas, not young people.
00:14:59:27 00:14:59:33							LIKE1B*	wie
00:14:59:33 00:14:59:37
00:14:59:37 00:14:59:46							BOREDOM1	langweilig
00:14:59:46 00:15:00:06
00:15:00:06 00:15:00:20						$GEST-DECLINE1^*
00:15:00:20 00:15:00:30
00:15:00:30 00:15:00:33							LIKE3B*	wie
00:15:00:33 00:15:00:46
00:15:00:46 00:15:00:48						TO-MATCH1*		pass
00:15:00:48 00:15:01:01
00:15:01:01 00:15:01:09							$INDEX1
00:15:01:09 00:15:01:22
00:15:01:22 00:15:01:25							GRANDMA1A	oma
00:15:01:25 00:15:01:39
00:15:01:39 00:15:01:44							GRANDPA2B	opa
00:15:01:44 00:15:02:08
00:15:02:08 00:15:02:22						$GEST-DECLINE1^*
00:15:02:22 00:15:02:34	The design changed and became more interesting.
00:15:02:34 00:15:02:49						NO1B*		nei{n}
00:15:02:49 00:15:03:02		TO-MODIFY1A
00:15:03:02 00:15:03:06					A lot of things changed.
00:15:03:06 00:15:03:09							$INDEX1*
00:15:03:09 00:15:03:13
00:15:03:13 00:15:03:18		DESIGN1A*		design
00:15:03:18 00:15:03:22		DESIGN1A*		design		TO-MODIFY1A		[MG]
00:15:03:22 00:15:03:32						TO-MODIFY1A		[MG]
00:15:03:32 00:15:03:33
00:15:03:33 00:15:03:45		TO-STRIKE1A*		[MG]
00:15:03:45 00:15:03:48		TO-STRIKE1A*			Through that change, young people nowadays take part, too.
00:15:03:48 00:15:04:03
00:15:04:03 00:15:04:05		YES1A*
00:15:04:05 00:15:04:08
00:15:04:08 00:15:04:19	One wears shorts with plaid shirts in pink or red.					TO-ACCOMPLISH1A*		schaff
00:15:04:19 00:15:04:26		SHORTS1*				TO-ACCOMPLISH1A*		schaff
00:15:04:26 00:15:04:42
00:15:04:42 00:15:04:47							YOUNG1	jung
00:15:04:47 00:15:05:03							YOUNG1	jung
00:15:05:03 00:15:05:11
00:15:05:11 00:15:05:15		TROUSERS1B*		[MG]
00:15:05:15 00:15:05:21						WITH1A*		mitmachen
00:15:05:21 00:15:05:25
00:15:05:25 00:15:05:27						TO-MAKE1
00:15:05:27 00:15:05:45						TO-MAKE1
00:15:05:45 00:15:06:16
00:15:06:16 00:15:06:36		PATTERN3A^*		kariert
00:15:06:36 00:15:07:01		PATTERN3A^*		kariert
00:15:07:01 00:15:07:14
00:15:07:14 00:15:07:26		$GEST-OFF1^*
00:15:07:26 00:15:07:43
00:15:07:43 00:15:08:04		PINK4A		rosa
00:15:08:04 00:15:08:13
00:15:08:13 00:15:08:17		$LIST1:2of2d
00:15:08:17 00:15:08:20
00:15:08:20 00:15:08:25					Women’s traditional clothes have also become more sexy.
00:15:08:25 00:15:08:37		RED1A*		rot
00:15:08:37 00:15:08:40
00:15:08:40 00:15:08:49						WOMAN2A*		frau
00:15:08:49 00:15:09:09
00:15:09:09 00:15:09:15						MORE1*		mehr
00:15:09:15 00:15:09:26
00:15:09:26 00:15:09:36						SEX3		sex
00:15:09:36 00:15:09:43
00:15:09:43 00:15:09:49	Yes, with a V-neck and Dirndl.	YES1A*
00:15:09:49 00:15:10:12					They have deeper necklines and shorter skirts in all the colors imaginable.
00:15:10:12 00:15:10:17						SHORTS1*
00:15:10:17 00:15:10:29		$PROD*		[MG]		SHORTS1*
00:15:10:29 00:15:10:31		$PROD*		[MG]
00:15:10:31 00:15:10:48
00:15:10:48 00:15:11:17						CLEAVAGE1
00:15:11:17 00:15:11:44
00:15:11:44 00:15:11:46						COLOUR1B*		farbe
00:15:11:46 00:15:12:08		DRESS1^		dirndl
00:15:12:08 00:15:12:10
00:15:12:10 00:15:12:22
00:15:12:22 00:15:12:31						WEIRD-STRANGE1^*		[MG]
00:15:12:31 00:15:13:25						WEIRD-STRANGE1^*		[MG]
00:15:13:25 00:15:13:34
00:15:13:34 00:15:14:16						AMBIANCE5*		[MG]
00:15:14:16 00:15:14:38
00:15:14:38 00:15:15:02					But that’s mainly for Oktoberfest.
00:15:15:02 00:15:15:08						MORE1*		mehr
00:15:15:08 00:15:15:20
00:15:15:20 00:15:15:24						FOR1*		für
00:15:15:24 00:15:15:34
00:15:15:34 00:15:15:47						OKTOBERFEST1*		oktoberfest
00:15:15:47 00:15:16:09
00:15:16:09 00:15:16:23					Other than that, one never wears it.
00:15:16:23 00:15:16:30						OTHERWISE1*		sonst
00:15:16:30 00:15:16:34
00:15:16:34 00:15:17:02						OUTDOORS1A*
00:15:17:02 00:15:17:21
00:15:17:21 00:15:17:32						NEVER2A*		niema{ls}
00:15:17:32 00:15:18:27
00:15:18:27 00:15:19:12
00:15:19:12 00:15:21:18									What do the traditional clothes for women look like?
00:15:21:18 00:15:21:43	Pretty dresses with a special blouse underneath, and it’s tight-laced so the cleavage is more noticable.
00:15:21:43 00:15:22:01		BEAUTIFUL1A*		schön
00:15:22:01 00:15:22:19
00:15:22:19 00:15:22:39		DRESS1		kleid
00:15:22:39 00:15:23:00
00:15:23:00 00:15:23:07		WITH1A		mit
00:15:23:07 00:15:23:46
00:15:23:46 00:15:24:05		INSIDE1A*		[MG]
00:15:24:05 00:15:24:22
00:15:24:22 00:15:24:37		LINING1
00:15:24:37 00:15:25:15
00:15:25:15 00:15:25:25		LINING1
00:15:25:25 00:15:25:39
00:15:25:39 00:15:26:16		$PROD*
00:15:26:16 00:15:26:22
00:15:26:22 00:15:26:26		MORE1*		mehr
00:15:26:26 00:15:26:40
00:15:26:40 00:15:27:03		$PROD*		[MG]
00:15:27:03 00:15:27:17
00:15:27:17 00:15:28:22		$PROD*
00:15:28:22 00:15:28:40
00:15:28:40 00:15:29:03	The sleeves are short and a little puffy.
00:15:29:03 00:15:29:13		$PROD*		[MG]
00:15:29:13 00:15:29:19
00:15:29:19 00:15:29:36		$PROD*		[MG]
00:15:29:36 00:15:30:05
00:15:30:05 00:15:30:26		$PROD*
00:15:30:26 00:15:30:36
00:15:30:36 00:15:30:46	The dress can be short or long.
00:15:30:46 00:15:31:05		DRESS1
00:15:31:05 00:15:31:11
00:15:31:11 00:15:31:15		THERE-IS3*		gibt
00:15:31:15 00:15:31:27
00:15:31:27 00:15:31:34		SHORTS1		kurz
00:15:31:34 00:15:32:03
00:15:32:03 00:15:32:18		$PROD*		oder lang
00:15:32:18 00:15:32:37
00:15:32:37 00:15:32:39	On top, one wears an apron.
00:15:32:39 00:15:32:43		WITH1A		mit
00:15:32:43 00:15:33:01
00:15:33:01 00:15:33:34		APRON1
00:15:33:34 00:15:34:02					There are three possibilities on where to tie the ribbon of the apron.
00:15:34:02 00:15:34:08						APRON1*		schür{ze}
00:15:34:08 00:15:34:25						APRON1*		schür{ze}
00:15:34:25 00:15:34:38		$PROD*		schürze
00:15:34:38 00:15:34:40		$PROD*					WITH1A	mit
00:15:34:40 00:15:34:45
00:15:34:45 00:15:34:49		APRON1*
00:15:34:49 00:15:35:14
00:15:35:14 00:15:35:23							$NUM-ONE-TO-TEN1A:3d	drei
00:15:35:23 00:15:35:32
00:15:35:32 00:15:35:37
00:15:35:37 00:15:35:48						DISTINCT2B		verschied
00:15:35:48 00:15:36:03	Right, the ribbons.
00:15:36:03 00:15:36:16		YES2*
00:15:36:16 00:15:36:18		YES2*			It can be left, right or in the back.
00:15:36:18 00:15:36:39
00:15:36:39 00:15:37:17						RIBBON1*
00:15:37:17 00:15:37:22		RIBBON1*				RIBBON1*
00:15:37:22 00:15:37:31
00:15:37:31 00:15:37:39						$ORAL^		oder
00:15:37:39 00:15:37:49
00:15:37:49 00:15:38:06						RIBBON1*
00:15:38:06 00:15:38:08		RIBBON1*				RIBBON1*
00:15:38:08 00:15:38:16		RIBBON1*
00:15:38:16 00:15:39:09
00:15:39:09 00:15:39:19						RIBBON1*		hin{ten}
00:15:39:19 00:15:39:48
00:15:39:48 00:15:40:05						IN-THE-BACK-OF5*		hin{ten}
00:15:40:05 00:15:40:15
00:15:40:15 00:15:40:26						RIBBON1*
00:15:40:26 00:15:40:29
00:15:40:29 00:15:40:36					It symbolizes the relationship status, but I forgot what means what.
00:15:40:36 00:15:40:41							$NUM-ONE-TO-TEN1A:1d*	ein
00:15:40:41 00:15:40:46
00:15:40:46 00:15:41:14							SYMBOL2A*	symbol
00:15:41:14 00:15:41:21
00:15:41:21 00:15:41:22						I2
00:15:41:22 00:15:41:31
00:15:41:31 00:15:41:42						TO-FORGET1
00:15:41:42 00:15:42:13
00:15:42:13 00:15:42:31						$INDEX1*		da da
00:15:42:31 00:15:42:40
00:15:42:40 00:15:42:44					Just as an example, a ribbon on the right could mean the woman is single.
00:15:42:44 00:15:43:03						$NUM-ORDINAL1:1d		erste
00:15:43:03 00:15:43:11
00:15:43:11 00:15:43:17							TO-BELONG1*
00:15:43:17 00:15:43:34
00:15:43:34 00:15:43:37						RIBBON1*
00:15:43:37 00:15:44:00
00:15:44:00 00:15:44:06						AN1A*		ei{n}
00:15:44:06 00:15:44:13
00:15:44:13 00:15:44:24						EXAMPLE1		beispiel
00:15:44:24 00:15:44:44
00:15:44:44 00:15:45:10						RIBBON1*
00:15:45:10 00:15:45:21
00:15:45:21 00:15:45:24						NAME2*		bedeu{tet}
00:15:45:24 00:15:45:32
00:15:45:32 00:15:47:01						UNWED1		ledig
00:15:47:01 00:15:47:13	Interesting, I’ve learned something new there.				Left means married and I think in the back means widowed.
00:15:47:13 00:15:47:34		INTEREST1A*
00:15:47:34 00:15:47:43
00:15:47:43 00:15:47:45						RIBBON1*
00:15:47:45 00:15:47:47		TO-LEARN-STH-NEW1				RIBBON1*
00:15:47:47 00:15:48:06		TO-LEARN-STH-NEW1
00:15:48:06 00:15:48:13
00:15:48:13 00:15:48:14		I1
00:15:48:14 00:15:48:33
00:15:48:33 00:15:49:22						RIBBON1*
00:15:49:22 00:15:49:46
00:15:49:46 00:15:50:36						TO-MARRY3A		verheira{ten}
00:15:50:36 00:15:50:47	I can imagine one has to be careful with that as a woman.					TO-MARRY3A		verheira{ten}
00:15:50:47 00:15:51:08
00:15:51:08 00:15:51:19		IMAGINATION3*		v{orstellen}
00:15:51:19 00:15:51:24						IN-THE-BACK-OF5
00:15:51:24 00:15:51:25
00:15:51:25 00:15:51:29
00:15:51:29 00:15:51:40		IMAGINATION3*
00:15:51:40 00:15:51:49
00:15:51:49 00:15:52:05		$$EXTRA-LING-ACT^				IN-THE-BACK-OF1*
00:15:52:05 00:15:52:15
00:15:52:15 00:15:53:20							$ALPHA1:W-T-W-E	witwe
00:15:53:20 00:15:53:44
00:15:53:44 00:15:53:48		INTEREST1A			Everyone can decide for themselves.
00:15:53:48 00:15:54:06
00:15:54:06 00:15:54:07							$INDEX1
00:15:54:07 00:15:54:08		IMAGINATION3*		vorstellen			$INDEX1
00:15:54:08 00:15:54:09		IMAGINATION3*
00:15:54:09 00:15:54:11
00:15:54:11 00:15:54:12						LIKE3A*		wie
00:15:54:12 00:15:54:16		THERE1*				LIKE3A*		wie
00:15:54:16 00:15:54:17		THERE1*
00:15:54:17 00:15:54:23
00:15:54:23 00:15:54:33						VOLUNTARY4		freiwillig
00:15:54:33 00:15:54:42
00:15:54:42 00:15:55:03		RIBBON1*
00:15:55:03 00:15:55:11
00:15:55:11 00:15:55:25	Otherwise one gets surprised that all the men are trying to get to know you.
00:15:55:25 00:15:55:41		QUEUE-PERSONS1A*		[MG]
00:15:55:41 00:15:55:44
00:15:55:44 00:15:55:47		$INDEX1
00:15:55:47 00:15:56:07
00:15:56:07 00:15:56:21		TO-WONDER1*		[MG]
00:15:56:21 00:15:56:31
00:15:56:31 00:15:56:44		WHAT1A		was ist
00:15:56:44 00:15:57:31
00:15:57:31 00:15:57:41		TROUBLE1		[MG]
00:15:57:41 00:15:58:26
00:15:58:26 00:15:58:35					Exactly, that’s what someone told me.
00:15:58:35 00:15:58:46							YES1A*	ja
00:15:58:46 00:15:59:05
00:15:59:05 00:15:59:16							TYPICAL1*
00:15:59:16 00:15:59:18
00:15:59:18 00:15:59:38							TO-LET-KNOW1A*
00:15:59:38 00:15:59:42
00:15:59:42 00:16:00:16					The tourists usually don’t know.
00:16:00:16 00:16:00:23							ATTENTION1A^*	obwohl
00:16:00:23 00:16:00:48
00:16:00:48 00:16:01:14						TOURIST1*		touri{st}
00:16:01:14 00:16:01:24
00:16:01:24 00:16:01:31							NO-CLUE1	[MG]
00:16:01:31 00:16:01:38
00:16:01:38 00:16:02:00							$GEST-DECLINE1^*
00:16:02:00 00:16:02:13
00:16:02:13 00:16:02:20					Only people from the region know the symbols.
00:16:02:20 00:16:02:28							TO-BELONG1^*	wir
00:16:02:28 00:16:02:37
00:16:02:37 00:16:02:42							TERRITORY1*
00:16:02:42 00:16:03:04
00:16:03:04 00:16:03:15							TO-KNOW-STH-OR-SB1A	kenn
00:16:03:15 00:16:03:31
00:16:03:31 00:16:03:39						RIBBON1*
00:16:03:39 00:16:03:49					I also didn’t know for quite a while until someone told me.
00:16:03:49 00:16:04:10						SELF1A*		selber
00:16:04:10 00:16:04:13
00:16:04:13 00:16:04:14						I1		ich nicht
00:16:04:14 00:16:04:23
00:16:04:23 00:16:04:30						TO-KNOW-STH2A*		gewusst
00:16:04:30 00:16:04:42
00:16:04:42 00:16:04:45						I1
00:16:04:45 00:16:05:14
00:16:05:14 00:16:05:25						TO-LET-KNOW1A*
00:16:05:25 00:16:06:03
00:16:06:03 00:16:06:12						CLEAR1B*		klar
00:16:06:12 00:16:06:31					Now I know and pay attention to it.
00:16:06:31 00:16:06:38						RIBBON1*
00:16:06:38 00:16:07:03
00:16:07:03 00:16:07:04							I1	ich
00:16:07:04 00:16:07:09
00:16:07:09 00:16:07:19							TO-LOOK-AWAY-AND-BACK1*	sehe
00:16:07:19 00:16:07:24
00:16:07:24 00:16:07:28						LIKE3B*		wie
00:16:07:28 00:16:07:38
00:16:07:38 00:16:07:43							TRIVIAL1*
00:16:07:43 00:16:08:09
00:16:08:09 00:16:08:14	Are there no hidden symbols, like how the feather is attached to the hat or something?				As a man one doesn’t really have to take anything into consideration when wearing the Lederhosen.
00:16:08:14 00:16:08:16							FOR1	für
00:16:08:16 00:16:08:26
00:16:08:26 00:16:08:32							MAN1	mann
00:16:08:32 00:16:08:33
00:16:08:33 00:16:08:43		MAN1*		mann
00:16:08:43 00:16:08:47		MAN1*		mann		CLUELESS1A
00:16:08:47 00:16:09:09
00:16:09:09 00:16:09:17		BEEN1
00:16:09:17 00:16:09:18		BEEN1
00:16:09:18 00:16:09:26
00:16:09:26 00:16:09:27		MAN1*		mann
00:16:09:27 00:16:09:32		MAN1*		mann			$GEST-DECLINE1^*
00:16:09:32 00:16:09:43
00:16:09:43 00:16:09:44		HAT4*		hut
00:16:09:44 00:16:10:00		HAT4*		hut
00:16:10:00 00:16:10:16
00:16:10:16 00:16:10:21		SPECIAL1*		spezial
00:16:10:21 00:16:10:41
00:16:10:41 00:16:11:19		$PROD*			Not that I would know of.
00:16:11:19 00:16:11:27						$GEST-NM-SHAKE-HEAD1^		[MG]
00:16:11:27 00:16:11:33		$GEST^
00:16:11:33 00:16:12:03
00:16:12:03 00:16:12:33
00:16:12:33 00:16:13:04					The women have the symbol, but I can’t think of anything for men.
00:16:13:04 00:16:13:11							WOMAN2B	frau
00:16:13:11 00:16:13:25
00:16:13:25 00:16:13:36						SYMBOL2B*		symbol
00:16:13:36 00:16:13:43
00:16:13:43 00:16:13:49						TO-BELONG1*
00:16:13:49 00:16:14:15
00:16:14:15 00:16:14:22							MAN3A*	mann
00:16:14:22 00:16:14:31
00:16:14:31 00:16:14:41						NOT3B*
00:16:14:41 00:16:15:14
00:16:15:14 00:16:16:18
00:16:16:18 00:16:16:34	Interesting, the symbols.
00:16:16:34 00:16:16:44		INTEREST1A
00:16:16:44 00:16:17:03
00:16:17:03 00:16:17:09		THERE-IS3*		gibt
00:16:17:09 00:16:17:13
00:16:17:13 00:16:17:24		SYMBOL2A*		symbol
00:16:17:24 00:16:18:04
00:16:18:04 00:16:19:05
00:16:19:05 00:16:20:25									Now we’ve spoken about clothes.
00:16:20:25 00:16:22:43									What does one usually eat in Bavaria?
00:16:22:43 00:16:23:16	Aldi.
00:16:23:16 00:16:23:27		$ORG-ALDI1A*		aldi
00:16:23:27 00:16:23:31
00:16:23:31 00:16:23:38		$GEST-OFF1^*
00:16:23:38 00:16:24:03
00:16:24:03 00:16:24:08
00:16:24:08 00:16:24:32					Aldi, poor you.
00:16:24:32 00:16:25:08						$ORG-ALDI1A		aldi
00:16:25:08 00:16:25:21
00:16:25:21 00:16:25:41							POOR-YOU1	[MG]
00:16:25:41 00:16:26:01
00:16:26:01 00:16:26:07							$INDEX1
00:16:26:07 00:16:26:13
00:16:26:13 00:16:26:22					Oh stop it.
00:16:26:22 00:16:26:47					Oh stop it.	OVER-AND-DONE1		aus
00:16:26:47 00:16:27:42					A typical meal is roast pork.
00:16:27:42 00:16:27:49						PIG2*		schwei{ne}brate
00:16:27:49 00:16:28:09
00:16:28:09 00:16:29:26						TO-ROAST-OR-TO-FRY1
00:16:29:26 00:16:29:40	Do you always eat pork?
00:16:29:40 00:16:29:44		ALWAYS1A		immer
00:16:29:44 00:16:30:01
00:16:30:01 00:16:30:05		PIG2*		schwein
00:16:30:05 00:16:30:06		PIG2*		schwein
00:16:30:06 00:16:30:12
00:16:30:12 00:16:30:16		TO-EAT-OR-FOOD2*
00:16:30:16 00:16:30:21
00:16:30:21 00:16:30:32		YOU1		du
00:16:30:32 00:16:30:37					No, of course not, but right now we’re talking about what’s typical for Bavaria.
00:16:30:37 00:16:31:11						$GEST-NM-SHAKE-HEAD1^
00:16:31:11 00:16:31:17
00:16:31:17 00:16:31:33
00:16:31:33 00:16:31:39							BAVARIA1*	bayern
00:16:31:39 00:16:32:04
00:16:32:04 00:16:32:14						TYPICAL1		typisch
00:16:32:14 00:16:32:25
00:16:32:25 00:16:32:36						$GEST-OFF1^
00:16:32:36 00:16:32:41
00:16:32:41 00:16:33:02					Roast pork, pretzel, bread dumplings, Sauerkraut/
00:16:33:02 00:16:33:05							BAVARIA1*
00:16:33:05 00:16:33:13
00:16:33:13 00:16:33:15							PIG2*	schwein{e}brat
00:16:33:15 00:16:33:31
00:16:33:31 00:16:33:43						TO-ROAST-OR-TO-FRY1
00:16:33:43 00:16:34:13
00:16:34:13 00:16:34:41						RING3^		brezel
00:16:34:41 00:16:35:15
00:16:35:15 00:16:35:24						BUN1		semmelknödel
00:16:35:24 00:16:35:34
00:16:35:34 00:16:36:21						DUMPLING1*
00:16:36:21 00:16:36:41
00:16:36:41 00:16:37:07							SOUR1	sauerkraut
00:16:37:07 00:16:37:12
00:16:37:12 00:16:37:17							$ALPHA1:K*
00:16:37:17 00:16:37:30
00:16:37:30 00:16:38:01						$GEST-OFF1^
00:16:38:01 00:16:38:18	Weisswurst.
00:16:38:18 00:16:38:24		WHITE1A		weißwurst
00:16:38:24 00:16:38:32
00:16:38:32 00:16:38:42		SAUSAGE2*
00:16:38:42 00:16:39:00
00:16:39:00 00:16:39:10					…Weisswurst, right; Leberkäse [type of meat loaf]/
00:16:39:10 00:16:39:22
00:16:39:22 00:16:39:30							WHITE1B	weißwurst
00:16:39:30 00:16:39:44
00:16:39:44 00:16:40:11						SAUSAGE6
00:16:40:11 00:16:40:24
00:16:40:24 00:16:40:38						RIGHT-OR-AGREED1A*		stimmt
00:16:40:38 00:16:41:06
00:16:41:06 00:16:42:04									What more is there to say about Weisswurst?
00:16:42:04 00:16:42:07							$ALPHA1:L	leberk{äse}
00:16:42:07 00:16:42:13
00:16:42:13 00:16:42:24						CHEESE5*
00:16:42:24 00:16:43:02
00:16:43:02 00:16:44:13
00:16:44:13 00:16:46:20									Are there any rules about it?
00:16:46:20 00:16:46:46					You’re getting big eyes again.
00:16:46:46 00:16:47:42						$INDEX1
00:16:47:42 00:16:48:00
00:16:48:00 00:16:48:10
00:16:48:10 00:16:48:26	Weisswurst can traditionally only be eaten until midday.
00:16:48:26 00:16:48:49						$PROD*
00:16:48:49 00:16:49:03		SAUSAGE6*
00:16:49:03 00:16:49:06
00:16:49:06 00:16:49:21
00:16:49:21 00:16:49:27		WHITE1A*		weißwurst
00:16:49:27 00:16:49:37
00:16:49:37 00:16:49:46		SAUSAGE1A
00:16:49:46 00:16:50:00		SAUSAGE1A
00:16:50:00 00:16:50:08
00:16:50:08 00:16:50:17		$INDEX1
00:16:50:17 00:16:50:37
00:16:50:37 00:16:50:43		QUOTATION-MARKS1*
00:16:50:43 00:16:51:10
00:16:51:10 00:16:51:23		USUALLY1*		normalerweise
00:16:51:23 00:16:51:33
00:16:51:33 00:16:51:46		TRADITION4*
00:16:51:46 00:16:52:05
00:16:52:05 00:16:52:16		UNTIL1		bis
00:16:52:16 00:16:52:28
00:16:52:28 00:16:52:32		LUNCH-OR-NOON3		mittag
00:16:52:32 00:16:52:39
00:16:52:39 00:16:52:45		AFTER-TIME5*
00:16:52:45 00:16:52:48
00:16:52:48 00:16:53:11		TO-EAT-OR-FOOD2		essen
00:16:53:11 00:16:53:21
00:16:53:21 00:16:53:44		$GEST-OFF1^*			Until eleven o’clock.
00:16:53:44 00:16:53:45		$GEST-OFF1^*					$NUM-TEEN2A:1d	elf uhr
00:16:53:45 00:16:54:04
00:16:54:04 00:16:54:09	It’s not allowed in the afternoon and evening.
00:16:54:09 00:16:54:13
00:16:54:13 00:16:54:26		AFTER-TIME5		nachmittag
00:16:54:26 00:16:54:27
00:16:54:27 00:16:54:42						MAXIMUM2*
00:16:54:42 00:16:55:06		EVENING1		abend
00:16:55:06 00:16:55:19
00:16:55:19 00:16:55:30		NOT3A		[MG]
00:16:55:30 00:16:55:40
00:16:55:40 00:16:55:43
00:16:55:43 00:16:56:04	One eats it with beer.
00:16:56:04 00:16:56:09		WITH1A		mit	Do you know why?
00:16:56:09 00:16:56:12		WITH1A		mit		REASON4B		grund
00:16:56:12 00:16:56:27						REASON4B		grund
00:16:56:27 00:16:56:28
00:16:56:28 00:16:56:34		BEER6		bier
00:16:56:34 00:16:56:37						TO-KNOW-STH2A*		weiß
00:16:56:37 00:16:56:41
00:16:56:41 00:16:56:44						YOU1*
00:16:56:44 00:16:56:48
00:16:56:48 00:16:57:00						WHY1		warum
00:16:57:00 00:16:57:19						WHY1		warum
00:16:57:19 00:16:57:23
00:16:57:23 00:16:57:25	Good question, it’s just a rule.
00:16:57:25 00:16:57:30		YES2*
00:16:57:30 00:16:57:31		YES2*				$INDEX1
00:16:57:31 00:16:57:46
00:16:57:46 00:16:58:00		$GEST-OFF1^*		[MG]
00:16:58:00 00:16:58:31		$GEST-OFF1^*		[MG]
00:16:58:31 00:16:58:41
00:16:58:41 00:16:59:06		REASON4B		grund
00:16:59:06 00:16:59:21
00:16:59:21 00:16:59:28		$GEST-OFF1^		[MG]
00:16:59:28 00:17:00:32
00:17:00:32 00:17:00:38		IS1		ist
00:17:00:38 00:17:00:48
00:17:00:48 00:17:01:08		STATUTE1A*		gesetz
00:17:01:08 00:17:01:14
00:17:01:14 00:17:01:24		$GEST-OFF1^
00:17:01:24 00:17:02:03
00:17:02:03 00:17:02:38					No.	$GEST-NM-SHAKE-HEAD1^
00:17:02:38 00:17:03:11					It’s because there were no refrigerators back in the day.
00:17:03:11 00:17:03:27							PAST-OR-BACK-THEN1	früher
00:17:03:27 00:17:03:41
00:17:03:41 00:17:03:48						NONE6*		kein
00:17:03:48 00:17:04:04
00:17:04:04 00:17:04:39						REFRIGERATOR3		kühlschrank
00:17:04:39 00:17:05:19	Right.
00:17:05:19 00:17:05:29		RIGHT-OR-AGREED1A		stimmt
00:17:05:29 00:17:05:35
00:17:05:35 00:17:05:43
00:17:05:43 00:17:05:46						NONE6		kein
00:17:05:46 00:17:06:02	That’s why.
00:17:06:02 00:17:06:10						REFRIGERATOR3		kühlschrank
00:17:06:10 00:17:06:11
00:17:06:11 00:17:06:17		TOGETHER3A^*
00:17:06:17 00:17:06:20					So the Weisswurst had to be eaten quickly so it wouldn’t go bad.
00:17:06:20 00:17:06:21						THEREFORE1*		darum
00:17:06:21 00:17:06:25		HENCE1		deshalb
00:17:06:25 00:17:06:26
00:17:06:26 00:17:06:30
00:17:06:30 00:17:06:33		$INDEX1*
00:17:06:33 00:17:06:45
00:17:06:45 00:17:07:04						FAST2*		schnell
00:17:07:04 00:17:07:18
00:17:07:18 00:17:07:43						OFF-CLOSED1		[MG]
00:17:07:43 00:17:08:03
00:17:08:03 00:17:08:08						THEREFORE1*		darum
00:17:08:08 00:17:08:15
00:17:08:15 00:17:08:18						FAST2*		schnell
00:17:08:18 00:17:08:24
00:17:08:24 00:17:08:40						LOOSE1^		[MG]
00:17:08:40 00:17:08:47
00:17:08:47 00:17:09:06							LATE3A*	[MG]
00:17:09:06 00:17:09:13
00:17:09:13 00:17:09:41						DONE1B
00:17:09:41 00:17:09:45
00:17:09:45 00:17:10:01					Nowadays that isn’t an issue anymore, but the tradition stayed.
00:17:10:01 00:17:10:09						NOW3		jet{zt}
00:17:10:09 00:17:10:14
00:17:10:14 00:17:10:27						$GEST-OFF1^
00:17:10:27 00:17:10:43
00:17:10:43 00:17:11:02						$GEST-DECLINE1^
00:17:11:02 00:17:11:09
00:17:11:09 00:17:11:13						ALL1A*		all
00:17:11:13 00:17:11:15
00:17:11:15 00:17:11:20						PRESENT-OR-HERE1*		da
00:17:11:20 00:17:11:41
00:17:11:41 00:17:11:47						SHOULD1*		soll
00:17:11:47 00:17:12:13
00:17:12:13 00:17:12:20						APPLAUSE2^		bleiben
00:17:12:20 00:17:12:40
00:17:12:40 00:17:13:12						TRADITION2A		trad{iti}on
00:17:13:12 00:17:13:27
00:17:13:27 00:17:13:33						PLEASE1A		[MG]
00:17:13:33 00:17:13:47
00:17:13:47 00:17:14:05						$NUM-TEEN2A:1d		bis elf
00:17:14:05 00:17:14:14	I’d recommend eating it before eleven o’clock.
00:17:14:14 00:17:14:19						TO-EAT-OR-FOOD1*		uhr
00:17:14:19 00:17:14:46		BUT1		aber		TO-EAT-OR-FOOD1*		uhr
00:17:14:46 00:17:14:47		BUT1		aber
00:17:14:47 00:17:15:00
00:17:15:00 00:17:15:08
00:17:15:08 00:17:15:09		I1		ich
00:17:15:09 00:17:15:19
00:17:15:19 00:17:15:23		TO-RECOMMEND1A		empfehl
00:17:15:23 00:17:15:28
00:17:15:28 00:17:15:41		THE1		das
00:17:15:41 00:17:16:02
00:17:16:02 00:17:16:09		UNTIL1*		bis
00:17:16:09 00:17:16:15
00:17:16:15 00:17:16:19		$NUM-TEEN2A:1d		elf uhr
00:17:16:19 00:17:16:23
00:17:16:23 00:17:16:28		TO-EAT-OR-FOOD2*		es{sen}
00:17:16:28 00:17:16:33
00:17:16:33 00:17:16:40		ATTENTION1*
00:17:16:40 00:17:17:19
00:17:17:19 00:17:17:32		CLOCK1
00:17:17:32 00:17:17:38
00:17:17:38 00:17:17:43	With it you have beer and mustard.
00:17:17:43 00:17:17:48		WITH1A		mit
00:17:17:48 00:17:18:05
00:17:18:05 00:17:18:12		BEER6		bier
00:17:18:12 00:17:18:21
00:17:18:21 00:17:18:28		AND2A*		und
00:17:18:28 00:17:18:34
00:17:18:34 00:17:18:38		$LIST1:2of2d
00:17:18:38 00:17:18:43
00:17:18:43 00:17:19:07		MUSTARD2*		senf
00:17:19:07 00:17:19:11
00:17:19:11 00:17:19:12		$INDEX1
00:17:19:12 00:17:19:34
00:17:19:34 00:17:20:16	Sweet mustard, which you just spread at the front end of the sausage. Tasty.
00:17:20:16 00:17:20:28		SWEET1		süß
00:17:20:28 00:17:20:39
00:17:20:39 00:17:21:06		$PROD*		senf
00:17:21:06 00:17:21:19
00:17:21:19 00:17:21:30		FINE-DELICIOUS1*		[MG]
00:17:21:30 00:17:22:04
00:17:22:04 00:17:22:17	You don’t eat it using a fork and a knife, just your hands.
00:17:22:17 00:17:22:21		BUT1
00:17:22:21 00:17:22:30
00:17:22:30 00:17:22:36		TO-CUT1*		ab
00:17:22:36 00:17:22:44
00:17:22:44 00:17:23:04		NO1A		nein
00:17:23:04 00:17:23:19
00:17:23:19 00:17:24:05		$PROD*
00:17:24:05 00:17:24:15
00:17:24:15 00:17:24:23		ATTENTION1*
00:17:24:23 00:17:25:04
00:17:25:04 00:17:25:43	One sucks it.
00:17:25:43 00:17:25:44		SAUSAGE4A*
00:17:25:44 00:17:25:49
00:17:25:49 00:17:26:02		GOOD1*
00:17:26:02 00:17:26:08
00:17:26:08 00:17:26:24		$ORAL^		warum
00:17:26:24 00:17:26:25
00:17:26:25 00:17:28:20		$PROD*		[MG]
00:17:28:20 00:17:28:32
00:17:28:32 00:17:29:01	You suck it out of its peel with your mouth.
00:17:29:01 00:17:29:16		$PROD*		[MG]
00:17:29:16 00:17:29:26					I do that too. I’m used to it.
00:17:29:26 00:17:29:28						I1
00:17:29:28 00:17:29:34
00:17:29:34 00:17:29:35						$INDEX1
00:17:29:35 00:17:29:39
00:17:29:39 00:17:29:40						I2*
00:17:29:40 00:17:29:43
00:17:29:43 00:17:29:48						$ORAL^		nur
00:17:29:48 00:17:29:49
00:17:29:49 00:17:30:11						$PROD*		[MG]
00:17:30:11 00:17:30:14
00:17:30:14 00:17:30:24						APARTMENT1A^		gewöhnt
00:17:30:24 00:17:30:25	Even when you have Weisswurst at your company?					APARTMENT1A^
00:17:30:25 00:17:30:33
00:17:30:33 00:17:30:34						I1
00:17:30:34 00:17:30:39
00:17:30:39 00:17:30:41						SELF1A*		selbst
00:17:30:41 00:17:30:42		EXAMPLE3*
00:17:30:42 00:17:30:46
00:17:30:46 00:17:30:47
00:17:30:47 00:17:30:49		YOU1*		du
00:17:30:49 00:17:31:03
00:17:31:03 00:17:31:04						TO-MAKE2*		mache
00:17:31:04 00:17:31:05		TO-WORK2		arbeit		TO-MAKE2*		mache
00:17:31:05 00:17:31:09
00:17:31:09 00:17:31:14						$PROD*		[MG]
00:17:31:14 00:17:31:18
00:17:31:18 00:17:31:21		COMPANY1A
00:17:31:21 00:17:31:30
00:17:31:30 00:17:31:35
00:17:31:35 00:17:31:43		$PROD*
00:17:31:43 00:17:31:48
00:17:31:48 00:17:32:05		TO-WORK2*		arbeit
00:17:32:05 00:17:32:13
00:17:32:13 00:17:32:20		COMPANY1A		firma
00:17:32:20 00:17:32:23
00:17:32:23 00:17:32:32		YOU1*
00:17:32:32 00:17:33:00
00:17:33:00 00:17:33:05		WHITE1A		weißwurst
00:17:33:05 00:17:33:06
00:17:33:06 00:17:33:10		SAUSAGE2*
00:17:33:10 00:17:33:21
00:17:33:21 00:17:33:28		TO-SELL1
00:17:33:28 00:17:33:30
00:17:33:30 00:17:33:38	Sausage used to always be eaten with your hands, but nowadays, people get all posh and use cutlery.
00:17:33:38 00:17:33:41		PAST-OR-BACK-THEN2*		[MG]
00:17:33:41 00:17:34:06
00:17:34:06 00:17:34:18		$PROD*		ess
00:17:34:18 00:17:34:23
00:17:34:23 00:17:34:26		ALL1A*		alle
00:17:34:26 00:17:34:35
00:17:34:35 00:17:34:41		TO-CUT1*		mit
00:17:34:41 00:17:35:12
00:17:35:12 00:17:36:16		$GEST-OFF1^*		[MG]
00:17:36:16 00:17:36:18
00:17:36:18 00:17:36:36	I still eat it with my hands; I don’t care.
00:17:36:36 00:17:36:42		$PROD*		[MG]
00:17:36:42 00:17:36:47
00:17:36:47 00:17:36:48		LIKE1A*		wie
00:17:36:48 00:17:37:00
00:17:37:00 00:17:37:04					Everyone has turned posh now.	$GEST-ATTENTION1^		ja
00:17:37:04 00:17:37:08
00:17:37:08 00:17:37:10		I-DONT-CARE1		wurscht
00:17:37:10 00:17:37:12						NOW3*		jetzt
00:17:37:12 00:17:37:16
00:17:37:16 00:17:37:24						ALL1A*		alle
00:17:37:24 00:17:37:26		I1
00:17:37:26 00:17:37:28
00:17:37:28 00:17:37:33
00:17:37:33 00:17:38:00						FINE1		fein
00:17:38:00 00:17:38:11
00:17:38:11 00:17:38:20							TO-BECOME1*	geworden
00:17:38:20 00:17:38:31
00:17:38:31 00:17:38:41							ALL1A^
00:17:38:41 00:17:38:42	Eating it with cutlery is stuffy.	CLEAR1A*					ALL1A^
00:17:38:42 00:17:38:46		CLEAR1A*
00:17:38:46 00:17:39:07					They all learned it from the north, from the Prussians.
00:17:39:07 00:17:39:08		TO-CUT1^*
00:17:39:08 00:17:39:11
00:17:39:11 00:17:39:19							TO-LEARN1	gelernt
00:17:39:19 00:17:39:22		ARROGANT1*					TO-LEARN1	gelernt
00:17:39:22 00:17:39:34
00:17:39:34 00:17:39:35							ALL1A
00:17:39:35 00:17:39:39
00:17:39:39 00:17:39:45		YES2
00:17:39:45 00:17:39:47		YES2
00:17:39:47 00:17:39:48
00:17:39:48 00:17:40:03							FROM-OR-BY-OR-OF3
00:17:40:03 00:17:40:23
00:17:40:23 00:17:40:32							NORTH1B*	nord
00:17:40:32 00:17:40:43
00:17:40:43 00:17:41:12							BOLLOCKS2^	preußen
00:17:41:12 00:17:41:21
00:17:41:21 00:17:41:27							AREA1A^
00:17:41:27 00:17:41:38					They infected the others and made them posh.
00:17:41:38 00:17:42:13						TO-INFECT1A		[MG]
00:17:42:13 00:17:42:25
00:17:42:25 00:17:42:30	I have a colleague who is a real Bavarian.
00:17:42:30 00:17:42:41						FINE1		fein
00:17:42:41 00:17:42:46		YES1A*				FINE1		fein
00:17:42:46 00:17:43:00		YES1A*
00:17:43:00 00:17:43:42
00:17:43:42 00:17:43:43		MY1*
00:17:43:43 00:17:44:03
00:17:44:03 00:17:44:10		TO-WORK1*		arbeitskollege
00:17:44:10 00:17:44:18
00:17:44:18 00:17:44:22		COLLEAGUE4*
00:17:44:22 00:17:44:30
00:17:44:30 00:17:44:33		$NUM-ONE-TO-TEN1A:1d		ein
00:17:44:33 00:17:44:42
00:17:44:42 00:17:44:43		ON-PERSON1*
00:17:44:43 00:17:45:12
00:17:45:12 00:17:45:19		GENUINE1
00:17:45:19 00:17:45:27
00:17:45:27 00:17:45:31		TO-WASH1A*		waschechte
00:17:45:31 00:17:45:43
00:17:45:43 00:17:45:48		GENUINE1
00:17:45:48 00:17:46:08
00:17:46:08 00:17:46:16		BAVARIA1*		bayern
00:17:46:16 00:17:46:25
00:17:46:25 00:17:46:44	He comes from the country and eats his Weisswurst with his hands, just like me.
00:17:46:44 00:17:47:03		VILLAGE3		dorf
00:17:47:03 00:17:47:13
00:17:47:13 00:17:47:22		THERE1*
00:17:47:22 00:17:48:19
00:17:48:19 00:17:48:39		$PROD*
00:17:48:39 00:17:48:45
00:17:48:45 00:17:49:02		ALSO1A		auch
00:17:49:02 00:17:49:05
00:17:49:05 00:17:49:16		EQUAL8*		[MG]
00:17:49:16 00:17:49:34
00:17:49:34 00:17:49:42		$PROD*
00:17:49:42 00:17:49:48
00:17:49:48 00:17:50:05	The others moved here and eat using cutlery.
00:17:50:05 00:17:50:11		ALL1A*
00:17:50:11 00:17:50:18
00:17:50:18 00:17:50:23		NO1A		[MG]
00:17:50:23 00:17:50:37
00:17:50:37 00:17:50:43		BEYOND1*		außerhalb
00:17:50:43 00:17:50:45
00:17:50:45 00:17:51:17		TO-COME1*
00:17:51:17 00:17:51:32
00:17:51:32 00:17:51:36		$GEST-TO-STAY-CALM1^*
00:17:51:36 00:17:52:01
00:17:52:01 00:17:52:17		TO-CUT1^*
00:17:52:17 00:17:52:25
00:17:52:25 00:17:52:26		I1
00:17:52:26 00:17:52:44
00:17:52:44 00:17:53:09					Do you know what’s inside a Weisswurst?
00:17:53:09 00:17:53:13							YOU1
00:17:53:13 00:17:53:20
00:17:53:20 00:17:53:25							TO-KNOW-STH2B	weiß
00:17:53:25 00:17:53:36
00:17:53:36 00:17:54:13						CONTENT3
00:17:54:13 00:17:54:26
00:17:54:26 00:17:54:31							WHITE1B	weißwu{rst}
00:17:54:31 00:17:54:39
00:17:54:39 00:17:54:46							SAUSAGE2
00:17:54:46 00:17:55:08
00:17:55:08 00:17:55:14						SAUSAGE6
00:17:55:14 00:17:55:21
00:17:55:21 00:17:55:28						IN1*		in
00:17:55:28 00:17:55:43
00:17:55:43 00:17:56:08					What kind of meat?
00:17:56:08 00:17:56:16							WHERE-FROM1*	woher
00:17:56:16 00:17:56:23
00:17:56:23 00:17:56:38							MEAT9*	fleisch
00:17:56:38 00:17:56:49
00:17:56:49 00:17:57:13						WHAT1B		was
00:17:57:13 00:17:57:26
00:17:57:26 00:17:58:06						IN1^*
00:17:58:06 00:17:58:18	Pork.
00:17:58:18 00:17:58:24		PIG2*		schweinefleisch
00:17:58:24 00:17:58:29
00:17:58:29 00:17:58:34		$GEST-OFF1^*				$$EXTRA-LING-ACT^
00:17:58:34 00:17:59:25
00:17:59:25 00:17:59:34					It used to be veal.
00:17:59:34 00:17:59:44							PAST-OR-BACK-THEN2	früher
00:17:59:44 00:18:00:07
00:18:00:07 00:18:00:15						GENUINE1*
00:18:00:15 00:18:00:27
00:18:00:27 00:18:00:33						CALF-VEAL1*		kalb
00:18:00:33 00:18:00:43
00:18:00:43 00:18:01:14						NOT-ANYMORE1A
00:18:01:14 00:18:01:35
00:18:01:35 00:18:01:49					Or not?
00:18:01:49 00:18:02:07						NO2A*
00:18:02:07 00:18:02:10
00:18:02:10 00:18:02:17						$GEST-TO-PONDER1^*
00:18:02:17 00:18:03:31
00:18:03:31 00:18:03:39					Pork or veal?
00:18:03:39 00:18:04:18						PIG2		schwein
00:18:04:18 00:18:04:34
00:18:04:34 00:18:04:43						CALF-VEAL1*		kalb
00:18:04:43 00:18:04:46
00:18:04:46 00:18:05:00					Leberkäse is traditionally made with veal, I think.
00:18:05:00 00:18:05:02						BUT1*		aber
00:18:05:02 00:18:05:18
00:18:05:18 00:18:05:23						$ALPHA1:L*		leberkäse
00:18:05:23 00:18:05:30
00:18:05:30 00:18:05:44						CHEESE5*
00:18:05:44 00:18:06:08
00:18:06:08 00:18:06:20						USUAL1		norma{l}
00:18:06:20 00:18:07:14
00:18:07:14 00:18:07:21						TRADITION2A		tradi{ti}on
00:18:07:21 00:18:08:03
00:18:08:03 00:18:08:16							$ALPHA1:K-A-L	kalb
00:18:08:16 00:18:08:22
00:18:08:22 00:18:08:43						OVER-AND-DONE1
00:18:08:43 00:18:09:04
00:18:09:04 00:18:09:09					It was more expensive back then.
00:18:09:09 00:18:09:19							PAST-OR-BACK-THEN1*	früh
00:18:09:19 00:18:09:30
00:18:09:30 00:18:09:38							EXPENSIVE2A*	teuer
00:18:09:38 00:18:09:46
00:18:09:46 00:18:10:01					Now it’s cheap, because they make it from a mix of pork and veal.
00:18:10:01 00:18:10:09						NOW3		jetzt
00:18:10:09 00:18:10:22
00:18:10:22 00:18:10:37						CHEAP5*		billig
00:18:10:37 00:18:11:21
00:18:11:21 00:18:11:35						TO-MIX2*		[MG]
00:18:11:35 00:18:11:45
00:18:11:45 00:18:12:04							PIG2	schwein
00:18:12:04 00:18:12:12
00:18:12:12 00:18:12:18						AND2A*		und
00:18:12:18 00:18:12:27
00:18:12:27 00:18:12:39	The whole meat gets mixed.
00:18:12:39 00:18:12:44							COW1*	kuh
00:18:12:44 00:18:12:45
00:18:12:45 00:18:13:02		TO-MIX3		gemischt
00:18:13:02 00:18:13:12		TO-MIX3				TO-MIX3*		misch
00:18:13:12 00:18:13:23						TO-MIX3*		misch
00:18:13:23 00:18:13:26
00:18:13:26 00:18:13:29		$GEST-DECLINE1^
00:18:13:29 00:18:13:36						THEREFORE1*		darum
00:18:13:36 00:18:13:42
00:18:13:42 00:18:13:48							CHEAP2	billig
00:18:13:48 00:18:14:06							CHEAP2
00:18:14:06 00:18:14:07
00:18:14:07 00:18:14:19
00:18:14:19 00:18:14:43							$GEST-OFF1^*
00:18:14:43 00:18:14:47	Organic meat is the best.
00:18:14:47 00:18:14:49					Leberkäse used to be white, too.
00:18:14:49 00:18:15:05							PAST-OR-BACK-THEN1*	früher
00:18:15:05 00:18:15:06
00:18:15:06 00:18:15:09		BEST1		[MG]
00:18:15:09 00:18:15:17
00:18:15:17 00:18:15:18		BIO1		biofleisch
00:18:15:18 00:18:15:21						PERFECT4		[MG]
00:18:15:21 00:18:15:30
00:18:15:30 00:18:15:35						THEREFORE1*		darum
00:18:15:35 00:18:15:38
00:18:15:38 00:18:15:39
00:18:15:39 00:18:15:43							PAST-OR-BACK-THEN1*	früher
00:18:15:43 00:18:15:44
00:18:15:44 00:18:16:01		$CUED-SPEECH*
00:18:16:01 00:18:16:04		$CUED-SPEECH*					WHITE1B*	weiß
00:18:16:04 00:18:16:08							WHITE1B*
00:18:16:08 00:18:16:18
00:18:16:18 00:18:16:21		BEST1		[MG]
00:18:16:21 00:18:16:29		BEST1		[MG]			TO-CLEAN-UP7A^*
00:18:16:29 00:18:16:39
00:18:16:39 00:18:17:12		BIO1		biofleisch
00:18:17:12 00:18:17:28
00:18:17:28 00:18:17:41		$CUED-SPEECH*
00:18:17:41 00:18:17:48							WHITE1B*	weiß
00:18:17:48 00:18:18:06
00:18:18:06 00:18:18:16							TO-CLEAN-UP7A^*
00:18:18:16 00:18:18:22
00:18:18:22 00:18:18:23						$ALPHA1:L*		leberkäse
00:18:18:23 00:18:18:29
00:18:18:29 00:18:18:35						CHEESE5*
00:18:18:35 00:18:18:39
00:18:18:39 00:18:18:48					White is the traditional way.
00:18:18:48 00:18:19:04						RIGHT-OR-AGREED1B*		stimmt
00:18:19:04 00:18:19:18
00:18:19:18 00:18:19:21							WHITE1B*	weiß
00:18:19:21 00:18:19:28
00:18:19:28 00:18:19:38							TO-CLEAN-UP7A^*
00:18:19:38 00:18:20:06
00:18:20:06 00:18:20:21						TRADITION2A*		trad{iti}on
00:18:20:21 00:18:20:27
00:18:20:27 00:18:20:45					It changed over time and now it’s more pink.
00:18:20:45 00:18:21:08						TO-MODIFY3		[MG]
00:18:21:08 00:18:21:19
00:18:21:19 00:18:21:28							PINK14	rosa
00:18:21:28 00:18:21:42
00:18:21:42 00:18:22:24						AREA1C^*
00:18:22:24 00:18:22:47
00:18:22:47 00:18:23:15					It’s cheaper that way.
00:18:23:15 00:18:23:16							$INDEX1
00:18:23:16 00:18:23:26
00:18:23:26 00:18:23:33							CHEAP2	billig
00:18:23:33 00:18:23:41
00:18:23:41 00:18:23:44					I thought it had always been like that.
00:18:23:44 00:18:23:45							I2*
00:18:23:45 00:18:24:09
00:18:24:09 00:18:24:11							TO-KNOW-STH-OR-SB1A^*	glaub
00:18:24:11 00:18:24:18
00:18:24:18 00:18:24:25						LIKE-THIS1A*		so
00:18:24:25 00:18:24:26
00:18:24:26 00:18:24:29					But then I was told that it used to be white because it was veal.
00:18:24:29 00:18:24:33							TO-LET-KNOW1A*	[MG]
00:18:24:33 00:18:24:39
00:18:24:39 00:18:25:01							NO1B*	[MG]
00:18:25:01 00:18:25:13
00:18:25:13 00:18:25:21							EARLY3A*	früh
00:18:25:21 00:18:25:29
00:18:25:29 00:18:25:31							$INDEX1
00:18:25:31 00:18:25:40
00:18:25:40 00:18:25:44							WHITE1B	weiß
00:18:25:44 00:18:26:04
00:18:26:04 00:18:26:23							TO-CLEAN-UP7A^*
00:18:26:23 00:18:26:34
00:18:26:34 00:18:26:39							IF-OR-WHEN1A*
00:18:26:39 00:18:26:44
00:18:26:44 00:18:26:48							$ALPHA1:K	kalb
00:18:26:48 00:18:27:09
00:18:27:09 00:18:27:17						PURE-OR-SHEER1
00:18:27:17 00:18:27:29
00:18:27:29 00:18:27:48						NOT-ANYMORE1A
00:18:27:48 00:18:28:35
00:18:28:35 00:18:28:44						PERFECT4		[MG]
00:18:28:44 00:18:28:49
00:18:28:49 00:18:29:03					But if one tried to sell it in high quantities, veal would be too expensive.
00:18:29:03 00:18:29:09							EXPENSIVE2A	[MG]
00:18:29:09 00:18:29:16
00:18:29:16 00:18:29:24							A-WHOLE-LOT2	[MG]
00:18:29:24 00:18:29:37
00:18:29:37 00:18:29:42							$GEST-OFF1^*	für
00:18:29:42 00:18:30:01
00:18:30:01 00:18:30:14						TO-SELL1		verkaufen
00:18:30:14 00:18:30:25
00:18:30:25 00:18:30:29							PERSON1
00:18:30:29 00:18:30:31
00:18:30:31 00:18:30:34							MUCH1A*	viel
00:18:30:34 00:18:30:36
00:18:30:36 00:18:30:46							PEOPLE2	leut
00:18:30:46 00:18:31:07
00:18:31:07 00:18:31:27							ALL1A
00:18:31:27 00:18:31:31
00:18:31:31 00:18:31:41					So the meat was mixed to reduce the cost.
00:18:31:41 00:18:31:47						DIFFERENT1^*		einfach
00:18:31:47 00:18:32:26
00:18:32:26 00:18:32:41						TO-MIX3		misch
00:18:32:41 00:18:32:46
00:18:32:46 00:18:33:09						LIKE3A*		wie
00:18:33:09 00:18:33:15
00:18:33:15 00:18:33:16							$INDEX1*
00:18:33:16 00:18:33:21
00:18:33:21 00:18:33:35							CHEAP2*	billig
00:18:33:35 00:18:33:43
00:18:33:43 00:18:34:01							$GEST-OFF1^*
00:18:34:01 00:18:34:10
00:18:34:10 00:18:34:22	If one wants to be sure, one has to use organic meat.				I think the Weisswurst/
00:18:34:22 00:18:34:25							WHITE1B*	weißwurst
00:18:34:25 00:18:34:35
00:18:34:35 00:18:34:46						SAUSAGE6
00:18:34:46 00:18:34:49
00:18:34:49 00:18:35:02		IF-OR-WHEN1A*		wenn
00:18:35:02 00:18:35:06							TO-BELIEVE2A*	glaube
00:18:35:06 00:18:35:20
00:18:35:20 00:18:35:31							$INDEX1
00:18:35:31 00:18:35:36		TO-WANT8*		will
00:18:35:36 00:18:35:41
00:18:35:41 00:18:35:46
00:18:35:46 00:18:36:02		GOOD1		[MG]
00:18:36:02 00:18:36:09
00:18:36:09 00:18:36:11		BIO1		biofleisch
00:18:36:11 00:18:36:23		BIO1
00:18:36:23 00:18:36:42
00:18:36:42 00:18:36:49		MEAT9*
00:18:36:49 00:18:37:07
00:18:37:07 00:18:37:13		$GEST-OFF1^*
00:18:37:13 00:18:37:34
00:18:37:34 00:18:37:42		SECURE1*		sicher
00:18:37:42 00:18:37:48
00:18:37:48 00:18:38:01		$GEST-OFF1^*
00:18:38:01 00:18:38:34
00:18:38:34 00:18:39:03					I forgot what it’s like with the Weisswurst.
00:18:39:03 00:18:39:08						WHITE1B*
00:18:39:08 00:18:39:20						WHITE1B*		weißwurst
00:18:39:20 00:18:39:26
00:18:39:26 00:18:39:31						SAUSAGE2*
00:18:39:31 00:18:39:36
00:18:39:36 00:18:39:37						I2		ich
00:18:39:37 00:18:39:48
00:18:39:48 00:18:40:11						TO-FORGET1
00:18:40:11 00:18:40:17
00:18:40:17 00:18:40:19					I think pork and veal sausage also has brain in it.
00:18:40:19 00:18:40:20						I1		ich
00:18:40:20 00:18:40:31
00:18:40:31 00:18:40:35						TO-KNOW-STH2B		weiß
00:18:40:35 00:18:40:48
00:18:40:48 00:18:41:14						YELLOW1A*		gelbwurst
00:18:41:14 00:18:41:27
00:18:41:27 00:18:41:39						SAUSAGE6
00:18:41:39 00:18:41:47
00:18:41:47 00:18:41:48							I1
00:18:41:48 00:18:42:07
00:18:42:07 00:18:42:14						OR1*		oder
00:18:42:14 00:18:42:20
00:18:42:20 00:18:42:23						LIKE3A*		wie
00:18:42:23 00:18:42:30
00:18:42:30 00:18:42:40							WHITE1B	weiß
00:18:42:40 00:18:43:05
00:18:43:05 00:18:43:09						YELLOW1A*		gelbwurst
00:18:43:09 00:18:43:15
00:18:43:15 00:18:43:19						SAUSAGE6*
00:18:43:19 00:18:43:22
00:18:43:22 00:18:43:23						$INDEX1
00:18:43:23 00:18:43:26
00:18:43:26 00:18:43:28							FROM-OR-BY-OR-OF3*	von
00:18:43:28 00:18:43:41
00:18:43:41 00:18:44:02							BRAIN1A*	gehirn
00:18:44:02 00:18:44:14
00:18:44:14 00:18:44:22							MEAT6*	fleisch
00:18:44:22 00:18:44:38
00:18:44:38 00:18:45:07							BRAIN1A*	gehirn
00:18:45:07 00:18:45:20
00:18:45:20 00:18:45:24						$PROD*
00:18:45:24 00:18:45:33
00:18:45:33 00:18:45:44							TO-WASH4*
00:18:45:44 00:18:46:02
00:18:46:02 00:18:46:06							WHITE1B*	weiß
00:18:46:06 00:18:46:14
00:18:46:14 00:18:46:15						TO-BELONG1*
00:18:46:15 00:18:46:20					I don’t remember about the Weisswurst, though.
00:18:46:20 00:18:46:21							BUT1	aber
00:18:46:21 00:18:46:26
00:18:46:26 00:18:46:30							WHITE1B*	weißwurst
00:18:46:30 00:18:46:36
00:18:46:36 00:18:46:41						SAUSAGE6
00:18:46:41 00:18:46:48
00:18:46:48 00:18:47:07							ALSO1A	auch
00:18:47:07 00:18:47:18
00:18:47:18 00:18:47:27							BEEN1	gewesen
00:18:47:27 00:18:47:35	I don’t know.
00:18:47:35 00:18:47:37		$GEST-OFF1^*
00:18:47:37 00:18:47:38							I1
00:18:47:38 00:18:47:44
00:18:47:44 00:18:48:04
00:18:48:04 00:18:48:18							$INDEX1
00:18:48:18 00:18:48:23		DONT-KNOW2*		weiß nicht
00:18:48:23 00:18:48:32
00:18:48:32 00:18:48:34		I1
00:18:48:34 00:18:48:42
00:18:48:42 00:18:49:02
00:18:49:02 00:18:49:27							APPROXIMATELY1^
00:18:49:27 00:18:50:04
00:18:50:04 00:18:50:12						$INDEX4		ich auch
00:18:50:12 00:18:50:13
00:18:50:13 00:18:51:05						$GEST-NM-SHAKE-HEAD1^		keine ahnung
00:18:51:05 00:18:51:22	It doesn’t matter.
00:18:51:22 00:18:51:30		WHATEVER3*		egal
00:18:51:30 00:18:51:41
00:18:51:41 00:18:52:04		$GEST-DECLINE1^*
00:18:52:04 00:18:52:12
00:18:52:12 00:18:52:17	The important thing is that it tastes good.
00:18:52:17 00:18:52:22		MAIN-POINT1A*		haupt
00:18:52:22 00:18:52:33
00:18:52:33 00:18:52:38		TO-TASTE1A*		schmeck
00:18:52:38 00:18:52:43
00:18:52:43 00:18:52:48		GOOD1		gut
00:18:52:48 00:18:53:02
00:18:53:02 00:18:53:04		$GEST-OFF1^*
00:18:53:04 00:18:53:21
00:18:53:21 00:18:54:36
00:18:54:36 00:18:57:12									Right, so we’re done with typical foods.
00:18:57:12 00:19:01:26									What does the landscape around Munich look like?
00:19:01:26 00:19:05:34									What do people cultivate, or are there farm animals or/ crops for example, or vineyards or animals?
00:19:05:34 00:19:06:05	What do you mean with food?
00:19:06:05 00:19:06:20		TO-EAT-OR-FOOD1
00:19:06:20 00:19:06:36
00:19:06:36 00:19:07:43		$GEST^
00:19:07:43 00:19:08:12	Oh right, yes.
00:19:08:12 00:19:08:16		YOU1*		ach so
00:19:08:16 00:19:09:42
00:19:09:42 00:19:10:08					Look, the north of Munich and the south of Munich are completely different.
00:19:10:08 00:19:10:09		YES2*
00:19:10:09 00:19:10:16		YES2*				$GEST-ATTENTION1^*
00:19:10:16 00:19:10:22						$GEST-ATTENTION1^*
00:19:10:22 00:19:10:35
00:19:10:35 00:19:10:39						RIGHT-OR-AGREED1A		stimm{t}
00:19:10:39 00:19:11:00
00:19:11:00 00:19:11:11						TO-SEE1*		sieh
00:19:11:11 00:19:11:18
00:19:11:18 00:19:11:22						$INDEX1		man
00:19:11:22 00:19:11:44
00:19:11:44 00:19:12:01						MUNICH1A*		münchen
00:19:12:01 00:19:12:25
00:19:12:25 00:19:12:32						MEASURE-VERTICAL1^*
00:19:12:32 00:19:12:46
00:19:12:46 00:19:13:06							NORTH1A*	nord
00:19:13:06 00:19:13:19
00:19:13:19 00:19:13:25							SOUTH1B	süd
00:19:13:25 00:19:13:34
00:19:13:34 00:19:14:03						DIFFERENT1		anders
00:19:14:03 00:19:15:17
00:19:15:17 00:19:15:22							AREA1A*
00:19:15:22 00:19:15:26	In the north, there’re mainly hops growing.						AREA1A*
00:19:15:26 00:19:15:35
00:19:15:35 00:19:15:39		NORTH1B		nord
00:19:15:39 00:19:15:49		NORTH1B					SOUTH1B	süd
00:19:15:49 00:19:16:05							SOUTH1B	süd
00:19:16:05 00:19:16:08
00:19:16:08 00:19:16:15		MOUNTAIN1A*
00:19:16:15 00:19:16:23
00:19:16:23 00:19:16:30		PRIMARILY1*		[MG]
00:19:16:30 00:19:16:38
00:19:16:38 00:19:16:46		$ALPHA1:H		hopf{en}wiese
00:19:16:46 00:19:17:12
00:19:17:12 00:19:17:27		OBJECT-OBLONG-IN-LINE1^*
00:19:17:27 00:19:17:35
00:19:17:35 00:19:17:43					Like this, HOPS.
00:19:17:43 00:19:18:01	How do you sign hops?
00:19:18:01 00:19:18:05		$ALPHA1:H		hopfen
00:19:18:05 00:19:18:09		$ALPHA1:H		hopfen			JUICE1A^*	hopfen
00:19:18:09 00:19:18:32							JUICE1A^*	hopfen
00:19:18:32 00:19:18:39
00:19:18:39 00:19:18:44		JUICE1A^*		hopf
00:19:18:44 00:19:19:03		JUICE1A^*		hopf		TO-POSTPONE4*
00:19:19:03 00:19:19:26
00:19:19:26 00:19:19:33		TO-SIGN1A*
00:19:19:33 00:19:19:41
00:19:19:41 00:19:19:43
00:19:19:43 00:19:19:48		$ALPHA1:H		hopf
00:19:19:48 00:19:20:02
00:19:20:02 00:19:20:05		I2
00:19:20:05 00:19:20:13
00:19:20:13 00:19:20:19		$GEST-OFF1^
00:19:20:19 00:19:20:26		$GEST-OFF1^			Similar to plucking.
00:19:20:26 00:19:20:29
00:19:20:29 00:19:20:38							JUICE1A^*	hopfen
00:19:20:38 00:19:20:49	Hops, right.
00:19:20:49 00:19:21:22		JUICE1A^		hopf
00:19:21:22 00:19:21:29
00:19:21:29 00:19:21:33
00:19:21:33 00:19:21:40		INTEREST1A				$ORAL^		warum
00:19:21:40 00:19:21:48		INTEREST1A
00:19:21:48 00:19:22:40							JUICE1A^*	hopfen hopfen
00:19:22:40 00:19:23:03	Those fields are only in the north, not in the south of Munich.
00:19:23:03 00:19:23:11		JUICE1A^*		hopfen
00:19:23:11 00:19:23:25
00:19:23:25 00:19:23:36		OBJECT-OBLONG-IN-LINE1^*		[MG]
00:19:23:36 00:19:23:43
00:19:23:43 00:19:23:46		PRIMARILY1*		[MG]
00:19:23:46 00:19:24:04
00:19:24:04 00:19:24:16		SOUTH1A*		süd
00:19:24:16 00:19:24:22
00:19:24:22 00:19:24:44		NOT3A		nicht
00:19:24:44 00:19:24:45
00:19:24:45 00:19:25:07
00:19:25:07 00:19:25:14		SOUTH1A*		süd
00:19:25:14 00:19:25:19					Not in the south, just the north.
00:19:25:19 00:19:25:26							SOUTH1B	süd
00:19:25:26 00:19:25:32
00:19:25:32 00:19:25:35
00:19:25:35 00:19:25:36							NOT3A	nicht
00:19:25:36 00:19:25:47		NO1A		[MG]			NOT3A	nicht
00:19:25:47 00:19:26:05
00:19:26:05 00:19:26:14							NORTH1B*	nord
00:19:26:14 00:19:26:27
00:19:26:27 00:19:26:32							MOUNTAIN1A*
00:19:26:32 00:19:26:41
00:19:26:41 00:19:26:46					That’s due to the climate.
00:19:26:46 00:19:26:49						DIFFERENT1*		anders
00:19:26:49 00:19:27:06
00:19:27:06 00:19:27:28						CLIMATE1		[MG]
00:19:27:28 00:19:27:30
00:19:27:30 00:19:27:37					In the south, it’s too cold during winter. The north is milder.
00:19:27:37 00:19:27:44							SOUTH1B	süd
00:19:27:44 00:19:28:05
00:19:28:05 00:19:28:41						COLD1		viel kalt
00:19:28:41 00:19:28:47
00:19:28:47 00:19:29:00						BIT1B*		biss{chen}
00:19:29:00 00:19:29:05
00:19:29:05 00:19:29:14						NORTH1A*		nord
00:19:29:14 00:19:29:24
00:19:29:24 00:19:29:33						WARM2B*		warm
00:19:29:33 00:19:29:37
00:19:29:37 00:19:30:00							$GEST-OFF1^*
00:19:30:00 00:19:30:30
00:19:30:30 00:19:31:10						LANDSCAPE1*
00:19:31:10 00:19:31:27
00:19:31:27 00:19:31:35					Hops are mainly grown there. In the north-west there’s also a bit of vine.
00:19:31:35 00:19:31:43							JUICE1A^	hopfen
00:19:31:43 00:19:32:09
00:19:32:09 00:19:32:20						PRIMARILY1		[MG]
00:19:32:20 00:19:32:34
00:19:32:34 00:19:32:42						SOMETIMES3*		oder manchmal
00:19:32:42 00:19:33:06
00:19:33:06 00:19:33:12						DIFFERENT1*		auch
00:19:33:12 00:19:33:16
00:19:33:16 00:19:33:21							BIT2A*	biss{chen}
00:19:33:21 00:19:33:27
00:19:33:27 00:19:33:38							WINE1	wein
00:19:33:38 00:19:33:44
00:19:33:44 00:19:34:36							$INDEX2
00:19:34:36 00:19:35:04
00:19:35:04 00:19:35:35							$INDEX2*
00:19:35:35 00:19:35:40
00:19:35:40 00:19:35:42					Not a lot, hop is the main thing there.
00:19:35:42 00:19:35:45							BUT1*	aber
00:19:35:45 00:19:36:05
00:19:36:05 00:19:36:12							MUCH1A	nicht viel
00:19:36:12 00:19:36:17
00:19:36:17 00:19:36:20							MORE1*	mehr
00:19:36:20 00:19:36:26
00:19:36:26 00:19:36:31							JUICE1A^*	hopfen
00:19:36:31 00:19:36:40
00:19:36:40 00:19:36:44					Wait, vine is wrong, that’s more in the area around Würzburg.	MORE1		mehr
00:19:36:44 00:19:37:08							PERCENT1	prozent
00:19:37:08 00:19:37:15	That’s right, no vine.
00:19:37:15 00:19:37:24							NO1A*
00:19:37:24 00:19:37:28
00:19:37:28 00:19:37:33							WRONG4*	falsch
00:19:37:33 00:19:37:34		YES1A*					WRONG4*	falsch
00:19:37:34 00:19:37:45
00:19:37:45 00:19:37:46		WINE2		wein			I2*
00:19:37:46 00:19:38:03		WINE2		wein
00:19:38:03 00:19:38:06
00:19:38:06 00:19:38:10							NO1B*
00:19:38:10 00:19:38:15		NO1A		[MG]			NO1B*
00:19:38:15 00:19:38:20
00:19:38:20 00:19:38:30							WÜRZBURG2	würzburg
00:19:38:30 00:19:38:31							WÜRZBURG2
00:19:38:31 00:19:38:41
00:19:38:41 00:19:39:00						$INDEX2*
00:19:39:00 00:19:39:06						$INDEX2*
00:19:39:06 00:19:39:23	That’s in Würzburg.
00:19:39:23 00:19:39:34		TO-BELONG1*					NO1A
00:19:39:34 00:19:39:45
00:19:39:45 00:19:40:05		WÜRZBURG2		würzburg
00:19:40:05 00:19:40:11
00:19:40:11 00:19:40:12
00:19:40:12 00:19:40:18		WINE2		wein
00:19:40:18 00:19:40:22
00:19:40:22 00:19:40:29		TO-BELONG1*
00:19:40:29 00:19:40:33
00:19:40:33 00:19:40:44		YES1A*		ja
00:19:40:44 00:19:40:47
00:19:40:47 00:19:41:04	There’s no grapevines in the south.
00:19:41:04 00:19:41:12		SOUTH1A*
00:19:41:12 00:19:41:21
00:19:41:21 00:19:41:26		AREA1A*
00:19:41:26 00:19:41:30
00:19:41:30 00:19:41:42		NO1A		[MG]
00:19:41:42 00:19:42:14
00:19:42:14 00:19:42:45
00:19:42:45 00:19:43:04	There are the alps/
00:19:43:04 00:19:43:13		$GEST-OFF1^*
00:19:43:13 00:19:43:26
00:19:43:26 00:19:43:34		$PROD*
00:19:43:34 00:19:43:41		$PROD*			But in the forest there are few fir trees, mostly pines.
00:19:43:41 00:19:44:01
00:19:44:01 00:19:44:06							BUT1*	aber
00:19:44:06 00:19:44:09		MOUNTAIN1A*		alpen			BUT1*	aber
00:19:44:09 00:19:44:19
00:19:44:19 00:19:44:31						FOREST3B*		wald
00:19:44:31 00:19:44:39
00:19:44:39 00:19:44:44
00:19:44:44 00:19:45:01						LITTLE-BIT9*
00:19:45:01 00:19:45:03
00:19:45:03 00:19:45:09							LITTLE-BIT6	wenig
00:19:45:09 00:19:45:18		MOUNTAIN1A*		alpen			LITTLE-BIT6	wenig
00:19:45:18 00:19:45:19		MOUNTAIN1A*		alpen
00:19:45:19 00:19:45:26
00:19:45:26 00:19:45:40						FIR1*		tanne
00:19:45:40 00:19:45:43
00:19:45:43 00:19:45:46						MORE1*		mehr
00:19:45:46 00:19:45:49						MORE1*		mehr
00:19:45:49 00:19:46:13
00:19:46:13 00:19:47:25							$ALPHA1:K-E-I-F-R	kiefer
00:19:47:25 00:19:47:35
00:19:47:35 00:19:48:18					In northern direction there are fir trees as far as Nuremberg, above mostly pines.
00:19:48:18 00:19:48:38						FULL2A^		bis
00:19:48:38 00:19:48:49
00:19:48:49 00:19:49:06						NUREMBERG2*		nür{n}berg
00:19:49:06 00:19:49:17
00:19:49:17 00:19:49:34						MORE8A
00:19:49:34 00:19:49:45
00:19:49:45 00:19:49:48						PRIMARILY1*		[MG]
00:19:49:48 00:19:50:03
00:19:50:03 00:19:50:23							$ALPHA1:K-F-R	kiefer
00:19:50:23 00:19:50:37
00:19:50:37 00:19:51:07					In the south, with increasing altitude, then there are fir forests.	$GEST-TO-PONDER1^*
00:19:51:07 00:19:51:11
00:19:51:11 00:19:51:24						FOREST3B		wald
00:19:51:24 00:19:51:39
00:19:51:39 00:19:52:12						PLANE3A^*
00:19:52:12 00:19:52:24
00:19:52:24 00:19:52:34							SOUTH1B	süd
00:19:52:34 00:19:53:02
00:19:53:02 00:19:53:11						GOOD1*		[MG]
00:19:53:11 00:19:53:44
00:19:53:44 00:19:54:13						FIR1*		tanne
00:19:54:13 00:19:54:22
00:19:54:22 00:19:54:27						FOREST3B*		wald
00:19:54:27 00:19:54:44
00:19:54:44 00:19:55:03						PLANE3A^*
00:19:55:03 00:19:55:09
00:19:55:09 00:19:55:12					The landscape is quite hilly and gets steeper and steeper until it reaches the mountains.
00:19:55:12 00:19:55:15						AND2B		und
00:19:55:15 00:19:55:20
00:19:55:20 00:19:55:24						STRONG2B		stark
00:19:55:24 00:19:55:32
00:19:55:32 00:19:56:35						$PROD*		[MG]
00:19:56:35 00:19:57:16	The landscape is hilly and then there’s the edge of the Alps. Munich is just before that.
00:19:57:16 00:19:58:05		$PROD*
00:19:58:05 00:19:58:27		$PROD*
00:19:58:27 00:19:59:03
00:19:59:03 00:19:59:18		WALL-OR-SIDE1B*		wand
00:19:59:18 00:19:59:28
00:19:59:28 00:19:59:36					There are a lot more lakes in the south than in the north.
00:19:59:36 00:19:59:43		TREE2^*
00:19:59:43 00:19:59:47
00:19:59:47 00:20:00:04						AND2A*		und
00:20:00:04 00:20:00:09
00:20:00:09 00:20:00:12		MUNICH1A*		münchen
00:20:00:12 00:20:00:19
00:20:00:19 00:20:00:20						VALLEY1*
00:20:00:20 00:20:00:38		CITY2*
00:20:00:38 00:20:00:41
00:20:00:41 00:20:01:04
00:20:01:04 00:20:01:12						NORTH1A		nord
00:20:01:12 00:20:01:20
00:20:01:20 00:20:01:23						LITTLE-BIT6		wenig
00:20:01:23 00:20:01:36
00:20:01:36 00:20:01:45						LAKE5*		see
00:20:01:45 00:20:02:09
00:20:02:09 00:20:02:18							SOUTH1B	süd
00:20:02:18 00:20:02:30
00:20:02:30 00:20:03:25						BIG7^*		see see see
00:20:03:25 00:20:03:36
00:20:03:36 00:20:03:39						MUCH1A*		viel
00:20:03:39 00:20:03:43
00:20:03:43 00:20:04:10						LOCATION1A*
00:20:04:10 00:20:04:18
00:20:04:18 00:20:04:43						AREA1D^*
00:20:04:43 00:20:05:01
00:20:05:01 00:20:05:10					I have to say that I do really prefer the south of Munich.
00:20:05:10 00:20:05:12							I2*
00:20:05:12 00:20:05:22
00:20:05:22 00:20:05:32							SOUTH1B	süd
00:20:05:32 00:20:05:45
00:20:05:45 00:20:06:04						EVERYTHING1A*		landschaft
00:20:06:04 00:20:06:14
00:20:06:14 00:20:06:15							I1
00:20:06:15 00:20:06:34
00:20:06:34 00:20:06:40						TO-LOVE-STH1		[MG]
00:20:06:40 00:20:07:04
00:20:07:04 00:20:07:16					The landscape is so pretty.
00:20:07:16 00:20:07:23							BEAUTIFUL1A	schön
00:20:07:23 00:20:07:34
00:20:07:34 00:20:08:03						WANT-TO-HAVE1^*
00:20:08:03 00:20:08:04
00:20:08:04 00:20:08:31						RADIATION1*
00:20:08:31 00:20:08:33
00:20:08:33 00:20:08:42					The north is pretty too, but the south takes the crown.
00:20:08:42 00:20:09:00							NORTH1A*	nord
00:20:09:00 00:20:09:11
00:20:09:11 00:20:09:12							I2*
00:20:09:12 00:20:09:18
00:20:09:18 00:20:09:28						$GEST-OFF1^		[MG]
00:20:09:28 00:20:09:40
00:20:09:40 00:20:09:43						PRESENT-OR-HERE1*		da
00:20:09:43 00:20:10:03
00:20:10:03 00:20:10:08							BEAUTIFUL1A*	schön
00:20:10:08 00:20:10:13
00:20:10:13 00:20:10:18						$GEST-OFF1^*		aber mehr
00:20:10:18 00:20:10:40
00:20:10:40 00:20:11:02							SOUTH1B*	süd
00:20:11:02 00:20:11:20
00:20:11:20 00:20:11:28						SPIKY1A		spitz
00:20:11:28 00:20:11:38
00:20:11:38 00:20:11:39						I1
00:20:11:39 00:20:11:47
00:20:11:47 00:20:12:03						$GEST-OFF1^*
00:20:12:03 00:20:12:11
00:20:12:11 00:20:12:31	The landscape is more diverse.
00:20:12:31 00:20:12:48		DISTINCT1		verschiede
00:20:12:48 00:20:13:10
00:20:13:10 00:20:13:21		$GEST^
00:20:13:21 00:20:13:28
00:20:13:28 00:20:13:43		DIVERSITY1		vielfalt
00:20:13:43 00:20:13:49
00:20:13:49 00:20:14:04		$GEST^
00:20:14:04 00:20:14:40
00:20:14:40 00:20:15:34	There’s agriculture, cornfields, many bike paths and forests.
00:20:15:34 00:20:15:43		COUNTRY3A*		landwirtschaft
00:20:15:43 00:20:15:47
00:20:15:47 00:20:16:19		$GEST-OFF1^*
00:20:16:19 00:20:16:42
00:20:16:42 00:20:17:05		$PROD*		[MG]
00:20:17:05 00:20:17:25
00:20:17:25 00:20:17:28		$ALPHA1:M		maisfeld
00:20:17:28 00:20:17:37
00:20:17:37 00:20:17:46		FIELD4A*
00:20:17:46 00:20:18:01
00:20:18:01 00:20:18:21		$GEST^
00:20:18:21 00:20:18:34
00:20:18:34 00:20:18:40		$LIST1:2of2d		[MG]
00:20:18:40 00:20:18:47
00:20:18:47 00:20:19:04		$GEST-OFF1^
00:20:19:04 00:20:19:17
00:20:19:17 00:20:19:23		MUCH1C		viel
00:20:19:23 00:20:19:27
00:20:19:27 00:20:19:39		BICYCLE1		radweg
00:20:19:39 00:20:19:48
00:20:19:48 00:20:20:24		WAY3*
00:20:20:24 00:20:20:35
00:20:20:35 00:20:20:45		$GEST^
00:20:20:45 00:20:21:04
00:20:21:04 00:20:21:10		FOREST2A*		wald
00:20:21:10 00:20:21:17
00:20:21:17 00:20:21:39		$GEST-OFF1^		[MG]
00:20:21:39 00:20:21:48	Everything is there.
00:20:21:48 00:20:22:07		EVERYTHING1B*		alles
00:20:22:07 00:20:22:11
00:20:22:11 00:20:22:19		PRESENT-OR-HERE1		[MG]
00:20:22:19 00:20:22:25
00:20:22:25 00:20:22:29		$GEST^		da
00:20:22:29 00:20:23:01
00:20:23:01 00:20:23:25
00:20:23:25 00:20:26:29									What possibilities does one have for one’s free time, which kinds of sports can one do?
00:20:26:29 00:20:26:38					One can/
00:20:26:38 00:20:26:49						CAN1*		kann
00:20:26:49 00:20:27:26
00:20:27:26 00:20:27:36						$NUM-ONE-TO-TEN1A:1d
00:20:27:36 00:20:27:44
00:20:27:44 00:20:28:01						$INDEX1
00:20:28:01 00:20:28:05
00:20:28:05 00:20:28:48
00:20:28:48 00:20:29:37					No matter whether it’s in the north or the south or anywhere else.
00:20:29:37 00:20:29:41							NORTH1A*	nord
00:20:29:41 00:20:29:49
00:20:29:49 00:20:30:05						SOUTH1A*		süd
00:20:30:05 00:20:30:15
00:20:30:15 00:20:30:20						WHATEVER3*		egal
00:20:30:20 00:20:30:27
00:20:30:27 00:20:30:28					One can go on a bike or motorcycle trip anywhere.
00:20:30:28 00:20:30:33						$ORAL^		mit
00:20:30:33 00:20:30:48
00:20:30:48 00:20:31:05						OFFER1B		angebot
00:20:31:05 00:20:31:21
00:20:31:21 00:20:31:41						BICYCLE1		fahrrad
00:20:31:41 00:20:32:19
00:20:32:19 00:20:32:42						$LIST1:1of1d
00:20:32:42 00:20:33:08
00:20:33:08 00:20:33:16						MOTORCYCLE1B*		motor{rad}
00:20:33:16 00:20:33:30
00:20:33:30 00:20:33:41							JOURNEY1B	reise
00:20:33:41 00:20:34:27
00:20:34:27 00:20:34:33						$LIST1:1of2d
00:20:34:33 00:20:34:35
00:20:34:35 00:20:34:42					Everyone loves the Alps and goes on trips to the mountains.
00:20:34:42 00:20:34:47						REASON4B		grund
00:20:34:47 00:20:35:06
00:20:35:06 00:20:35:14							ALL1A*	alle
00:20:35:14 00:20:35:16
00:20:35:16 00:20:35:20							TO-LOVE-STH1	[MG]
00:20:35:20 00:20:35:27
00:20:35:27 00:20:35:36						MOUNTAIN1A		berg
00:20:35:36 00:20:35:45
00:20:35:45 00:20:36:08							RIVER1^	[MG]
00:20:36:08 00:20:36:21	Right, there are so many curves.
00:20:36:21 00:20:36:29		YES2		stimmt
00:20:36:29 00:20:36:36
00:20:36:36 00:20:36:42		RIVER1^		kurve
00:20:36:42 00:20:36:49		RIVER1^		kurve
00:20:36:49 00:20:37:01
00:20:37:01 00:20:37:02					They’re more interesting for bikers, too. One has to fight to get up the hill, but one can go downhill on the other side, too, that’s appealing to some.
00:20:37:02 00:20:37:03						MORE1*		mehr
00:20:37:03 00:20:37:07		YES1A				MORE1*		mehr
00:20:37:07 00:20:37:08		YES1A
00:20:37:08 00:20:37:17
00:20:37:17 00:20:37:18
00:20:37:18 00:20:37:28						TENSION4A		span{nend}
00:20:37:28 00:20:37:33
00:20:37:33 00:20:37:35						MORE1*		mehr
00:20:37:35 00:20:37:38	Yes, one can go up by bike.					MORE1*		mehr
00:20:37:38 00:20:37:45
00:20:37:45 00:20:37:47						STIMULATION1		reiz
00:20:37:47 00:20:38:06		BICYCLE1*		fahrrad
00:20:38:06 00:20:38:14
00:20:38:14 00:20:38:29		$PROD*
00:20:38:29 00:20:38:33		$PROD*
00:20:38:33 00:20:38:37
00:20:38:37 00:20:38:39							$GEST-OFF1^*
00:20:38:39 00:20:38:40
00:20:38:40 00:20:38:45		YES1A
00:20:38:45 00:20:39:10						BICYCLE1		fahrrad
00:20:39:10 00:20:39:11
00:20:39:11 00:20:39:20
00:20:39:20 00:20:40:11						$PROD*
00:20:40:11 00:20:40:17
00:20:40:17 00:20:40:35					One can also paraglide.
00:20:40:35 00:20:40:41						$LIST1:1of3d
00:20:40:41 00:20:41:05
00:20:41:05 00:20:42:12						TO-STEER-STEERING-WHEEL1^*		[MG]
00:20:42:12 00:20:42:37	Paragliding, yes.
00:20:42:37 00:20:43:08		FRAME1A^*		gleitschirm
00:20:43:08 00:20:43:10
00:20:43:10 00:20:43:16					Exactly, paragliding.
00:20:43:16 00:20:43:20
00:20:43:20 00:20:43:26						PARACHUTE2^		gleitschirm
00:20:43:26 00:20:43:28
00:20:43:28 00:20:43:36		TO-STEER-STEERING-WHEEL1^*		gleitschirm
00:20:43:36 00:20:44:27		TO-STEER-STEERING-WHEEL1^*		gleitschirm		TO-STEER-STEERING-WHEEL1^*
00:20:44:27 00:20:44:28						TO-STEER-STEERING-WHEEL1^*
00:20:44:28 00:20:44:29
00:20:44:29 00:20:44:30					Or fly into the valley on these kites.
00:20:44:30 00:20:44:36		YES2*		ja
00:20:44:36 00:20:44:37
00:20:44:37 00:20:44:48						OR5		oder
00:20:44:48 00:20:45:09
00:20:45:09 00:20:45:19							$PROD*	drache
00:20:45:19 00:20:45:38
00:20:45:38 00:20:46:36						$PROD*
00:20:46:36 00:20:47:22
00:20:47:22 00:20:47:27	Hang-gliding.
00:20:47:27 00:20:47:30						$PROD*		laufen
00:20:47:30 00:20:47:38		$PROD*		drachen
00:20:47:38 00:20:47:46
00:20:47:46 00:20:48:03
00:20:48:03 00:20:48:38		$PROD*		[MG]		$PROD*		[MG]
00:20:48:38 00:20:49:07
00:20:49:07 00:20:49:23						$PROD*
00:20:49:23 00:20:49:26
00:20:49:26 00:20:49:39
00:20:49:39 00:20:49:40							$PROD*
00:20:49:40 00:20:50:03		$PROD*
00:20:50:03 00:20:50:13
00:20:50:13 00:20:50:21		YES2*
00:20:50:21 00:20:50:28
00:20:50:28 00:20:50:35
00:20:50:35 00:20:50:47
00:20:50:47 00:20:51:01							$INDEX1
00:20:51:01 00:20:51:07
00:20:51:07 00:20:51:19						POSSIBLE1*		möglich
00:20:51:19 00:20:51:31
00:20:51:31 00:20:53:42					One can also fly around in a glider.		TO-LIST1C*
00:20:53:42 00:20:54:15						$LIST1:4of4d
00:20:54:15 00:20:54:21
00:20:54:21 00:20:54:30						$ORAL^		oder
00:20:54:30 00:20:54:33
00:20:54:33 00:20:54:47						TO-SAIL1		segelflug{zeug}
00:20:54:47 00:20:55:05
00:20:55:05 00:20:55:15							AIRPLANE2A*
00:20:55:15 00:20:55:30
00:20:55:30 00:20:56:23						$PROD*
00:20:56:23 00:20:56:30
00:20:56:30 00:20:56:46						TO-SAIL1		segelflug{zeug}
00:20:56:46 00:20:57:05
00:20:57:05 00:20:57:07							AIRPLANE2A*
00:20:57:07 00:20:57:16
00:20:57:16 00:20:57:20						POSSIBLE1*		möglich
00:20:57:20 00:20:57:29
00:20:57:29 00:20:57:31							$GEST-OFF1^*
00:20:57:31 00:20:58:14
00:20:58:14 00:20:58:25						$LIST1:5of5
00:20:58:25 00:20:59:12	Gliding.
00:20:59:12 00:20:59:21		$PROD*
00:20:59:21 00:21:00:49		$PROD*
00:21:00:49 00:21:01:06
00:21:01:06 00:21:01:40					Or go sailing and surfing.
00:21:01:40 00:21:01:45						TO-SAIL1		segelboot
00:21:01:45 00:21:02:08
00:21:02:08 00:21:02:16						BOAT1
00:21:02:16 00:21:02:26
00:21:02:26 00:21:02:39							$GEST-OFF1^*
00:21:02:39 00:21:03:10
00:21:03:10 00:21:03:36						TO-SURF1*		surfen
00:21:03:36 00:21:03:49
00:21:03:49 00:21:04:33							$GEST-OFF1^*
00:21:04:33 00:21:05:12
00:21:05:12 00:21:05:17	One can go on tandem skydives.
00:21:05:17 00:21:05:30		$ORAL^		oder
00:21:05:30 00:21:05:49
00:21:05:49 00:21:06:38		TANDEM-SKYDIVING-$CANDIDATE-MUE73^		tandem
00:21:06:38 00:21:06:43
00:21:06:43 00:21:07:01	In the Allgäu one can do tandem skydives.
00:21:07:01 00:21:07:03		$INDEX1
00:21:07:03 00:21:07:15
00:21:07:15 00:21:07:26		ALLGÄU2		allgäu
00:21:07:26 00:21:07:32
00:21:07:32 00:21:07:38		$INDEX1
00:21:07:38 00:21:07:48
00:21:07:48 00:21:08:01		AREA1A*
00:21:08:01 00:21:08:11
00:21:08:11 00:21:08:19		CAN2A*		kann
00:21:08:19 00:21:08:39
00:21:08:39 00:21:08:49		TANDEM-SKYDIVING-$CANDIDATE-MUE73^		tandem
00:21:08:49 00:21:09:05
00:21:09:05 00:21:09:10	Have you done that before?
00:21:09:10 00:21:09:13		$INDEX1
00:21:09:13 00:21:09:19
00:21:09:19 00:21:09:23		BEEN1		gewesen
00:21:09:23 00:21:09:32
00:21:09:32 00:21:09:34		YOU1*
00:21:09:34 00:21:09:38
00:21:09:38 00:21:09:44					Yes, I’ve done that before.
00:21:09:44 00:21:10:00		NONE7B		[MG]
00:21:10:00 00:21:10:02
00:21:10:02 00:21:10:06						YES2*
00:21:10:06 00:21:10:07
00:21:10:07 00:21:10:10		YOU1*
00:21:10:10 00:21:10:13		YOU1*				BEEN1		gewesen
00:21:10:13 00:21:10:16						BEEN1
00:21:10:16 00:21:10:25
00:21:10:25 00:21:10:33	Was it good?					$INDEX1
00:21:10:33 00:21:10:34		GOOD3		gut		$INDEX1
00:21:10:34 00:21:10:43
00:21:10:43 00:21:10:46						YES2*
00:21:10:46 00:21:11:01						YES2*
00:21:11:01 00:21:11:07
00:21:11:07 00:21:11:16
00:21:11:16 00:21:12:18					Yes, that has been the best experience of my life so far.
00:21:12:18 00:21:12:32							$GEST-TO-PONDER1^*
00:21:12:32 00:21:12:42
00:21:12:42 00:21:12:45							BEAUTIFUL5	schönste
00:21:12:45 00:21:13:06
00:21:13:06 00:21:13:09							BEAUTIFUL1A*
00:21:13:09 00:21:13:12
00:21:13:12 00:21:13:15							BEAUTIFUL5
00:21:13:15 00:21:13:23
00:21:13:23 00:21:13:27							MY1	mein
00:21:13:27 00:21:13:33
00:21:13:33 00:21:13:38							TO-LIVE1E*	leben
00:21:13:38 00:21:13:45
00:21:13:45 00:21:13:48							$GEST-OFF1^*
00:21:13:48 00:21:14:26
00:21:14:26 00:21:14:40					Better than an orgasm, better than sex, right?
00:21:14:40 00:21:14:44						AND2B		und
00:21:14:44 00:21:15:00
00:21:15:00 00:21:15:04							BETTER1	besser
00:21:15:04 00:21:15:12
00:21:15:12 00:21:15:25						ORGASM1*		orgasmus
00:21:15:25 00:21:16:24
00:21:16:24 00:21:16:34							BETTER1	besser
00:21:16:34 00:21:17:07
00:21:17:07 00:21:17:17							AS4*	als
00:21:17:17 00:21:17:31
00:21:17:31 00:21:17:42						BED1B		b{ett}
00:21:17:42 00:21:18:13
00:21:18:13 00:21:18:16							AS1*	als
00:21:18:16 00:21:18:20
00:21:18:20 00:21:18:29						BED1B		bett
00:21:18:29 00:21:18:38
00:21:18:38 00:21:19:04							RIGHT-OR-AGREED1B	stim{mt}
00:21:19:04 00:21:19:27
00:21:19:27 00:21:19:34
00:21:19:34 00:21:20:15	Flying with a blissful smile on ones face.
00:21:20:15 00:21:20:49		$PROD*
00:21:20:49 00:21:21:38
00:21:21:38 00:21:22:04					It only took five minutes in total.
00:21:22:04 00:21:22:11							ACTUALLY1B*	eige{ntlich}
00:21:22:11 00:21:22:19
00:21:22:19 00:21:22:20							ONLY2B*	nur
00:21:22:20 00:21:22:24
00:21:22:24 00:21:22:26							$NUM-ONE-TO-TEN1A:5	fünf
00:21:22:26 00:21:22:33
00:21:22:33 00:21:22:42						MINUTE1		minuten
00:21:22:42 00:21:23:03
00:21:23:03 00:21:23:09						DONE1B
00:21:23:09 00:21:23:17
00:21:23:17 00:21:23:22						DONE4*
00:21:23:22 00:21:23:26
00:21:23:26 00:21:23:35						EVERYTHING1C		das ist alles
00:21:23:35 00:21:23:43
00:21:23:43 00:21:23:47							$GEST-OFF1^*
00:21:23:47 00:21:24:26
00:21:24:26 00:21:25:45
00:21:25:45 00:21:26:03					What else is there to do in sports?
00:21:26:03 00:21:26:30						$ORAL^		möglich
00:21:26:30 00:21:27:28
00:21:27:28 00:21:27:33						SPORTS1A*		spor{t}
00:21:27:33 00:21:27:46
00:21:27:46 00:21:28:05						OFFER1B		angebo{t}
00:21:28:05 00:21:28:11
00:21:28:11 00:21:28:17						$GEST-OFF1^
00:21:28:17 00:21:28:34
00:21:28:34 00:21:29:14	Skiing, snowboarding and cross-country skiing.
00:21:29:14 00:21:30:00		SKI1		ski
00:21:30:00 00:21:30:02		SKI1		ski	Skiing, right.
00:21:30:02 00:21:30:15
00:21:30:15 00:21:30:16						SKI1		ski
00:21:30:16 00:21:30:29		SNOWBOARD1*		snowboard
00:21:30:29 00:21:30:36
00:21:30:36 00:21:30:41
00:21:30:41 00:21:30:49		$GEST-OFF1^
00:21:30:49 00:21:31:08							$GEST-OFF1^*
00:21:31:08 00:21:31:15
00:21:31:15 00:21:31:22
00:21:31:22 00:21:31:26							YES1A	stimmt
00:21:31:26 00:21:31:41		CROSS-COUNTRY-SKIING1*		langlauf
00:21:31:41 00:21:32:03		CROSS-COUNTRY-SKIING1*		langlauf
00:21:32:03 00:21:32:15
00:21:32:15 00:21:33:00		$GEST-OFF1^*		[MG]
00:21:33:00 00:21:33:29
00:21:33:29 00:21:35:29
00:21:35:29 00:21:35:48					Bob sledding at the Königssee.
00:21:35:48 00:21:36:20							$ALPHA1:B-O-B	bob
00:21:36:20 00:21:36:31
00:21:36:31 00:21:36:38							$GEST-OFF1^*
00:21:36:38 00:21:37:02
00:21:37:02 00:21:37:31						$PROD*
00:21:37:31 00:21:37:44
00:21:37:44 00:21:37:47							KING1A*	königssee
00:21:37:47 00:21:38:04
00:21:38:04 00:21:38:11						LAKE1B*
00:21:38:11 00:21:38:19
00:21:38:19 00:21:38:30						HIS-HER1*
00:21:38:30 00:21:38:44	I thought of something else.
00:21:38:44 00:21:38:45		YOU1
00:21:38:45 00:21:39:01		YOU1
00:21:39:01 00:21:39:15
00:21:39:15 00:21:39:24		TO-SUDDENLY-COME-INTO-ONES-MIND1		[MG]
00:21:39:24 00:21:39:34
00:21:39:34 00:21:39:35		YOU1
00:21:39:35 00:21:39:37
00:21:39:37 00:21:39:42	In the English garden, one can go surfing in the Eisbach [lit.: ice brook; man-made river]. That’s really famous.
00:21:39:42 00:21:40:03		ENGLAND4*		englisch
00:21:40:03 00:21:40:15
00:21:40:15 00:21:40:26		GARDEN2*		garten
00:21:40:26 00:21:40:31
00:21:40:31 00:21:40:37		CAN1		kann
00:21:40:37 00:21:41:02
00:21:41:02 00:21:41:05		TO-SURF1*		surfen
00:21:41:05 00:21:41:14
00:21:41:14 00:21:41:27		$INDEX1
00:21:41:27 00:21:41:42
00:21:41:42 00:21:42:04		WELL-KNOWN1A		bekannt
00:21:42:04 00:21:42:11
00:21:42:11 00:21:42:16					Yes, one can surf in the Eisbach.
00:21:42:16 00:21:42:21		ICE8		eisbach
00:21:42:21 00:21:42:26
00:21:42:26 00:21:42:28							YOU1
00:21:42:28 00:21:42:31
00:21:42:31 00:21:42:39		BROOK1*
00:21:42:39 00:21:42:41
00:21:42:41 00:21:42:43							YES1A
00:21:42:43 00:21:42:46		$INDEX1					YES1A
00:21:42:46 00:21:42:47		$INDEX1
00:21:42:47 00:21:43:00
00:21:43:00 00:21:43:01						$INDEX1
00:21:43:01 00:21:43:05
00:21:43:05 00:21:43:07	There are waves to surf; it’s famous for it.
00:21:43:07 00:21:43:13							ICE8	eisbach
00:21:43:13 00:21:43:17
00:21:43:17 00:21:43:19							BROOK1*
00:21:43:19 00:21:43:38		WAVE1*		welle
00:21:43:38 00:21:44:01		WAVE1*		welle			WAVE1	wellenreiten
00:21:44:01 00:21:44:08
00:21:44:08 00:21:44:19		YES1A
00:21:44:19 00:21:44:20		YES1A
00:21:44:20 00:21:44:31
00:21:44:31 00:21:44:35		WELL-KNOWN1A		bekannt
00:21:44:35 00:21:44:39		WELL-KNOWN1A				HORSE5^*
00:21:44:39 00:21:44:45						HORSE5^*
00:21:44:45 00:21:44:48
00:21:44:48 00:21:44:49		$INDEX1
00:21:44:49 00:21:45:00
00:21:45:00 00:21:45:07					That’s a one-of-a-kind thing.
00:21:45:07 00:21:45:09							YOU-PLURAL1A*
00:21:45:09 00:21:45:13		TO-SURF1		surfen
00:21:45:13 00:21:45:15
00:21:45:15 00:21:45:18
00:21:45:18 00:21:45:24		$INDEX1
00:21:45:24 00:21:45:30
00:21:45:30 00:21:45:36		YES1A
00:21:45:36 00:21:46:00
00:21:46:00 00:21:46:06							SOLE1	einzig
00:21:46:06 00:21:46:16
00:21:46:16 00:21:46:30						WORLD1		welt
00:21:46:30 00:21:46:34
00:21:46:34 00:21:46:44							$GEST-OFF1^*
00:21:46:44 00:21:47:26
00:21:47:26 00:21:47:42					Professional surfers, real surf stars from Hawaii or elsewhere come and really want to ride that wave.
00:21:47:42 00:21:48:00							ALSO1A	auch
00:21:48:00 00:21:48:10
00:21:48:10 00:21:48:11							$INDEX1
00:21:48:11 00:21:48:18
00:21:48:18 00:21:48:27							EXAMPLE3*	zum beispiel
00:21:48:27 00:21:48:39
00:21:48:39 00:21:49:03						PROFESSIONAL1A		profi
00:21:49:03 00:21:49:19
00:21:49:19 00:21:49:37						SNOWBOARD1^		wellen
00:21:49:37 00:21:50:03
00:21:50:03 00:21:50:06						CELEBRITY1*		star
00:21:50:06 00:21:50:13
00:21:50:13 00:21:50:21							$INDEX1
00:21:50:21 00:21:50:30
00:21:50:30 00:21:51:05						HAWAII2*		hawaii
00:21:51:05 00:21:51:17
00:21:51:17 00:21:51:23							OR5*	oder
00:21:51:23 00:21:51:33
00:21:51:33 00:21:51:35							PERSON1*
00:21:51:35 00:21:52:01
00:21:52:01 00:21:52:11						BEEN1*
00:21:52:11 00:21:52:23
00:21:52:23 00:21:52:28							$INDEX1
00:21:52:28 00:21:52:33
00:21:52:33 00:21:52:38						TO-WANT2*		will
00:21:52:38 00:21:52:46
00:21:52:46 00:21:53:01						TO-TICK-OFF3
00:21:53:01 00:21:53:09
00:21:53:09 00:21:53:23							THERE1*
00:21:53:23 00:21:53:33
00:21:53:33 00:21:53:39						$ORAL^		muss
00:21:53:39 00:21:53:40
00:21:53:40 00:21:53:45						$NUM-ONE-TO-TEN1A:1d		einmal
00:21:53:45 00:21:54:00
00:21:54:00 00:21:54:11							TIMES3
00:21:54:11 00:21:54:20
00:21:54:20 00:21:54:38						$INDEX1
00:21:54:38 00:21:55:00
00:21:55:00 00:21:55:01							$INDEX1
00:21:55:01 00:21:55:19
00:21:55:19 00:21:55:25						WEIRD-STRANGE1		[MG]
00:21:55:25 00:21:55:29
00:21:55:29 00:21:55:34							$INDEX1
00:21:55:34 00:21:55:37
00:21:55:37 00:21:55:46					The reason for that is that the wave is available 346 days a year [meant to say 365].
00:21:55:46 00:21:56:02						REASON4B		grund
00:21:56:02 00:21:56:15
00:21:56:15 00:21:56:18							$NUM-HUNDREDS1:3d	dreihundertsechsundvierzig
00:21:56:18 00:21:56:23
00:21:56:23 00:21:56:24						$NUM-ONE-TO-TEN1B:6d
00:21:56:24 00:21:56:32
00:21:56:32 00:21:56:35							$NUM-TENS1:4
00:21:56:35 00:21:56:44
00:21:56:44 00:21:56:48						DAY1A		tage
00:21:56:48 00:21:57:06
00:21:57:06 00:21:57:18						THROUGH1A		durch
00:21:57:18 00:21:57:29
00:21:57:29 00:21:58:42						WAVE3^*		[MG]
00:21:58:42 00:21:58:48
00:21:58:48 00:21:59:04					Always, from winter to fall, always the same.
00:21:59:04 00:21:59:37						THROUGH1A		durch
00:21:59:37 00:22:01:00
00:22:01:00 00:22:01:13						WINTER2		winter
00:22:01:13 00:22:01:21
00:22:01:21 00:22:01:46						UNTIL1		bis
00:22:01:46 00:22:02:29
00:22:02:29 00:22:02:48						AUTUMN5		herbst
00:22:02:48 00:22:03:14
00:22:03:14 00:22:03:45						PERIOD1A^*
00:22:03:45 00:22:03:47
00:22:03:47 00:22:04:03					The whole year.
00:22:04:03 00:22:04:11						WHOLE1A*		ganz
00:22:04:11 00:22:04:18
00:22:04:18 00:22:04:40						YEAR2A*		jahr
00:22:04:40 00:22:04:46
00:22:04:46 00:22:04:49					That’s why it’s so popular.
00:22:04:49 00:22:05:03						THEREFORE1		darum
00:22:05:03 00:22:05:13
00:22:05:13 00:22:05:20						SUPER2*		[MG]
00:22:05:20 00:22:05:30
00:22:05:30 00:22:05:44							TO-COME1*
00:22:05:44 00:22:06:10
00:22:06:10 00:22:06:16					In Hawaii you have to wait for the wave to come.
00:22:06:16 00:22:06:20							THERE1*	warum
00:22:06:20 00:22:06:25
00:22:06:25 00:22:06:39						HAWAII2		hawaii
00:22:06:39 00:22:06:49
00:22:06:49 00:22:07:15							OCCASIONALLY1*
00:22:07:15 00:22:07:26
00:22:07:26 00:22:07:41							TO-WAIT1A	warten
00:22:07:41 00:22:07:49
00:22:07:49 00:22:08:07							TO-COME2*	kommt
00:22:08:07 00:22:08:13
00:22:08:13 00:22:08:17							WHEN2	wann
00:22:08:17 00:22:08:36
00:22:08:36 00:22:08:44						WAVE3^*
00:22:08:44 00:22:09:01
00:22:09:01 00:22:09:06					Here it’s something special.	$INDEX1
00:22:09:06 00:22:09:15
00:22:09:15 00:22:09:26						WEIRD-STRANGE1		[MG]
00:22:09:26 00:22:09:29
00:22:09:29 00:22:09:48							$INDEX2
00:22:09:48 00:22:10:01	It’s funny that this is in Munich of all places.						$INDEX2
00:22:10:01 00:22:10:11
00:22:10:11 00:22:10:18		YES2
00:22:10:18 00:22:10:26
00:22:10:26 00:22:10:33		FUNNY1*		lustig
00:22:10:33 00:22:10:41
00:22:10:41 00:22:11:04		IN1*
00:22:11:04 00:22:11:10
00:22:11:10 00:22:11:14					And in the city center, not somewhere out in the countryside.
00:22:11:14 00:22:11:17		MUNICH1A*		münchen
00:22:11:17 00:22:11:23
00:22:11:23 00:22:11:24							ALSO1A*	auch
00:22:11:24 00:22:11:29		IN1*					ALSO1A*	auch
00:22:11:29 00:22:11:30		IN1*
00:22:11:30 00:22:11:40
00:22:11:40 00:22:11:47						MIDDLE2B^*
00:22:11:47 00:22:12:10
00:22:12:10 00:22:12:17						CITY2		stadt
00:22:12:17 00:22:12:30
00:22:12:30 00:22:12:34							$INDEX1
00:22:12:34 00:22:12:42
00:22:12:42 00:22:12:46						TYPICAL1*
00:22:12:46 00:22:13:02
00:22:13:02 00:22:13:21						OUTDOORS1A*		außerhalb
00:22:13:21 00:22:13:33
00:22:13:33 00:22:13:43							COUNTRY3B*	land
00:22:13:43 00:22:14:06
00:22:14:06 00:22:14:12						WEIRD-STRANGE1*		[MG]
00:22:14:12 00:22:14:40					Just around the corner, in the cosmopolitan city with heart.
00:22:14:40 00:22:14:45						LIKE3A*		wie
00:22:14:45 00:22:15:03
00:22:15:03 00:22:15:12						CLOSE-BY1A*		nah
00:22:15:12 00:22:15:35
00:22:15:35 00:22:16:01						WORLD1		weltstadt
00:22:16:01 00:22:16:13
00:22:16:13 00:22:16:20						CITY2
00:22:16:20 00:22:16:26
00:22:16:26 00:22:16:29						WITH1A*		mit
00:22:16:29 00:22:16:37
00:22:16:37 00:22:16:42						HEART2A*		herz
00:22:16:42 00:22:17:07
00:22:17:07 00:22:17:40						$INDEX1*
00:22:17:40 00:22:18:35
00:22:18:35 00:22:19:03					That makes me a little bit proud.
00:22:19:03 00:22:19:08						METICULOUS1^		auch
00:22:19:08 00:22:19:16
00:22:19:16 00:22:19:23						INCLUSIVE1^*
00:22:19:23 00:22:19:29
00:22:19:29 00:22:19:33						BIT1B		ein bisschen
00:22:19:33 00:22:19:35
00:22:19:35 00:22:19:38							I1*
00:22:19:38 00:22:19:48
00:22:19:48 00:22:20:04							PROUD1	stolz
00:22:20:04 00:22:20:17
00:22:20:17 00:22:20:19							I1
00:22:20:19 00:22:20:24
00:22:20:24 00:22:21:00									Can you talk a little more about the Eisbach for someone who has never heard of that?
00:22:21:00 00:22:24:03
00:22:24:03 00:22:24:24	Of course.
00:22:24:24 00:22:24:26		YES1A*
00:22:24:26 00:22:24:28
00:22:24:28 00:22:24:31	There's a kind of bridge under which the water flows down like a waterfall, creating a perfect wave.
00:22:24:31 00:22:24:36		$INDEX1
00:22:24:36 00:22:24:41
00:22:24:41 00:22:24:47		QUOTATION-MARKS1*		wie
00:22:24:47 00:22:25:17
00:22:25:17 00:22:25:34		BRIDGE1B*		brücke
00:22:25:34 00:22:25:46
00:22:25:46 00:22:26:06		WATER3A*		wasser
00:22:26:06 00:22:26:25
00:22:26:25 00:22:27:20		$PROD*		[MG]
00:22:27:20 00:22:27:31
00:22:27:31 00:22:27:33		THERE-IS2*		gib
00:22:27:33 00:22:27:37
00:22:27:37 00:22:27:39		$INDEX1
00:22:27:39 00:22:27:42
00:22:27:42 00:22:27:48		PERFECT4*		[MG]
00:22:27:48 00:22:28:12
00:22:28:12 00:22:28:22		WAVE1*		welle
00:22:28:22 00:22:28:30
00:22:28:30 00:22:28:34		SIMILAR1*
00:22:28:34 00:22:28:45
00:22:28:45 00:22:29:25		$PROD*		[MG]
00:22:29:25 00:22:29:47
00:22:29:47 00:22:30:06	The surfers stand on the wave.
00:22:30:06 00:22:30:10		TO-SURF1		surf
00:22:30:10 00:22:30:16
00:22:30:16 00:22:30:28		INTEREST1A*		[MG]
00:22:30:28 00:22:30:37
00:22:30:37 00:22:31:18		SNOWBOARD1^		[MG]
00:22:31:18 00:22:31:28
00:22:31:28 00:22:31:31		CAN2A		kann
00:22:31:31 00:22:31:44
00:22:31:44 00:22:31:46		QUOTATION-MARKS1*
00:22:31:46 00:22:32:19
00:22:32:19 00:22:32:29		TO-LET2A*		[MG]
00:22:32:29 00:22:32:49
00:22:32:49 00:22:33:21		SNOWBOARD1^		[MG]
00:22:33:21 00:22:33:24
00:22:33:24 00:22:33:33	They don’t have to drive because the wave doesn’t change.
00:22:33:33 00:22:33:38		MUST1		muss
00:22:33:38 00:22:33:45		NOT4		ni{cht}
00:22:33:45 00:22:34:09
00:22:34:09 00:22:34:13		TO-DRIVE1		fah{ren}
00:22:34:13 00:22:34:19
00:22:34:19 00:22:34:46		$PROD*		[MG]
00:22:34:46 00:22:35:05
00:22:35:05 00:22:35:16			NOT3A
00:22:35:16 00:22:35:22
00:22:35:22 00:22:35:27	It’s due to the currents that move in opposite directions.
00:22:35:27 00:22:35:33		LIKE3B*		wie
00:22:35:33 00:22:35:44
00:22:35:44 00:22:36:16		STREAM1*		[MG]
00:22:36:16 00:22:36:28
00:22:36:28 00:22:36:30		AGAINST3C*		gegen
00:22:36:30 00:22:36:38
00:22:36:38 00:22:37:01		STREAM1*		strömung
00:22:37:01 00:22:37:13
00:22:37:13 00:22:37:19	One can move on the wave from left to right.
00:22:37:19 00:22:39:14		SNOWBOARD1^*		[MG]
00:22:39:14 00:22:39:22
00:22:39:22 00:22:39:33	It’s very dangerous.
00:22:39:33 00:22:39:38		DANGEROUS1A*		gefährlich
00:22:39:38 00:22:39:45
00:22:39:45 00:22:40:01		$INDEX1
00:22:40:01 00:22:40:20
00:22:40:20 00:22:40:27		VERY6		[MG]
00:22:40:27 00:22:40:33
00:22:40:33 00:22:40:39		$INDEX1
00:22:40:39 00:22:41:03
00:22:41:03 00:22:41:13	Only good surfers manage that. Beginners shouldn’t go there, because there’s a danger of falling.
00:22:41:13 00:22:41:17		TO-GET-IN1
00:22:41:17 00:22:41:26
00:22:41:26 00:22:41:32		TO-ACCOMPLISH1A*		schaff
00:22:41:32 00:22:41:36
00:22:41:36 00:22:41:42		APPROXIMATELY1*
00:22:41:42 00:22:42:12
00:22:42:12 00:22:42:19		BEGINNING1A		anfänger
00:22:42:19 00:22:42:24
00:22:42:24 00:22:42:30		TO-GET-IN1
00:22:42:30 00:22:42:36
00:22:42:36 00:22:42:40		NOT3A		nicht
00:22:42:40 00:22:43:00
00:22:43:00 00:22:43:06		TO-RECOMMEND1B*		empfohlen
00:22:43:06 00:22:43:09
00:22:43:09 00:22:43:15		NOT3A
00:22:43:15 00:22:43:23
00:22:43:23 00:22:43:28		DANGEROUS1A*			There’s also a sign that specifically says that people shouldn’t go swimming.
00:22:43:28 00:22:43:32
00:22:43:32 00:22:43:35		CAN2A*		kann
00:22:43:35 00:22:43:36		CAN2A*		kann			ALSO1A	auch
00:22:43:36 00:22:43:42							ALSO1A	auch
00:22:43:42 00:22:43:47
00:22:43:47 00:22:44:08		$PROD*		[MG]
00:22:44:08 00:22:44:15							IN-ADDITION1^*	schild
00:22:44:15 00:22:44:23
00:22:44:23 00:22:44:29
00:22:44:29 00:22:44:34						SUBJECT1*
00:22:44:34 00:22:44:38		CAN2A		kann		SUBJECT1*
00:22:44:38 00:22:44:40		CAN2A		kann
00:22:44:40 00:22:44:43
00:22:44:43 00:22:44:49		YES1A		ja
00:22:44:49 00:22:45:05
00:22:45:05 00:22:45:14							TO-RECOMMEND1B	nicht empfohl
00:22:45:14 00:22:45:21
00:22:45:21 00:22:45:33						TO-SWIM1		schwimmen
00:22:45:33 00:22:45:45
00:22:45:45 00:22:46:14							IN-ADDITION1^*	sch{ild}
00:22:46:14 00:22:46:20
00:22:46:20 00:22:46:46					If people still do it, it’s their own responsibility.
00:22:46:46 00:22:47:02							OWN1A	eigenverantwortlich
00:22:47:02 00:22:47:13
00:22:47:13 00:22:47:17						RESPONSIBILITY1^*
00:22:47:17 00:22:47:24
00:22:47:24 00:22:47:39							THERE1*
00:22:47:39 00:22:49:07
00:22:49:07 00:22:49:36					The waves are pretty strong all the time.
00:22:49:36 00:22:49:44						LIKE1A*		wie
00:22:49:44 00:22:50:03
00:22:50:03 00:22:50:12						ALWAYS4A*		[MG]
00:22:50:12 00:22:50:16
00:22:50:16 00:22:50:21						TO-LET2B^*		[MG]
00:22:50:21 00:22:50:29
00:22:50:29 00:22:52:00							WAVE1*	[MG]
00:22:52:00 00:22:52:23	One can’t jump and turn as one would on a wave in the sea, either.
00:22:52:23 00:22:52:41						$INDEX1*
00:22:52:41 00:22:53:16		$PROD*
00:22:53:16 00:22:53:20					Yes.
00:22:53:20 00:22:53:47						YES2
00:22:53:47 00:22:54:13						YES2
00:22:54:13 00:22:54:18
00:22:54:18 00:22:54:30		NO1B
00:22:54:30 00:22:54:39
00:22:54:39 00:22:54:46		POINTLESS3A
00:22:54:46 00:22:55:10					And it’s fresh, cold water.
00:22:55:10 00:22:55:14						AND2A*		und
00:22:55:14 00:22:55:19
00:22:55:19 00:22:55:28						COLD1		kalt
00:22:55:28 00:22:55:34
00:22:55:34 00:22:55:47							WATER3B	wasser
00:22:55:47 00:22:56:05
00:22:56:05 00:22:56:06							$INDEX1*
00:22:56:06 00:22:56:17
00:22:56:17 00:22:56:26						FRESH2*		frisch
00:22:56:26 00:22:56:29
00:22:56:29 00:22:56:34						WATER3B		wasser
00:22:56:34 00:22:56:44
00:22:56:44 00:22:57:13						PLANE1^
00:22:57:13 00:22:57:40

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