1246681 (fra13): Regional Specialities

Topics City and Country: Home(land); City and Country: Ludwigshafen; City and Country: Rhineland-Palatinate; Food and Beverage; Vacation, Free Time, Traveling: Excursion; Vacation, Free Time, Traveling: Free Time

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 00:00:00:34
00:00:00:34 00:00:00:39					I was born in Oggersheim.
00:00:00:39 00:00:00:43							I1	ich
00:00:00:43 00:00:01:01
00:00:01:01 00:00:01:03						USUAL1*
00:00:01:03 00:00:01:07
00:00:01:07 00:00:01:17							SELF1A*	selbst
00:00:01:17 00:00:01:21
00:00:01:21 00:00:01:34						USUAL1*		normal
00:00:01:34 00:00:01:45
00:00:01:45 00:00:02:11						BIRTH1B		geburt
00:00:02:11 00:00:02:44
00:00:02:44 00:00:04:01						$NAME		oggersheim
00:00:04:01 00:00:04:45
00:00:04:45 00:00:05:01					That place has been well-known in Germany for quite a while now.
00:00:05:01 00:00:05:09						SELF2*		selbst
00:00:05:09 00:00:05:26
00:00:05:26 00:00:06:10							ALL3	alle
00:00:06:10 00:00:06:12
00:00:06:12 00:00:06:17							$INDEX1
00:00:06:17 00:00:06:23
00:00:06:23 00:00:06:36						HERE1*		hier
00:00:06:36 00:00:07:00
00:00:07:00 00:00:07:05							GERMAN1*	deutschland
00:00:07:05 00:00:07:13
00:00:07:13 00:00:07:19							TO-KNOW-STH2B^*
00:00:07:19 00:00:07:24
00:00:07:24 00:00:07:38							TO-KNOW-STH-OR-SB1A	kenn
00:00:07:38 00:00:07:45
00:00:07:45 00:00:08:01							$INDEX1
00:00:08:01 00:00:08:05
00:00:08:05 00:00:08:14						LOCATION1B*		ort
00:00:08:14 00:00:08:23
00:00:08:23 00:00:08:36						ALREADY1A*		schon
00:00:08:36 00:00:08:48
00:00:08:48 00:00:09:25							LONG-TIME5*	lang
00:00:09:25 00:00:09:44
00:00:09:44 00:00:10:15					Of course, 18 years/
00:00:10:15 00:00:10:23						CLEAR1B*		klar
00:00:10:23 00:00:10:47
00:00:10:47 00:00:11:17						$NUM-TEEN1:8d		achtzehn
00:00:11:17 00:00:11:20
00:00:11:20 00:00:12:37							YEAR1B*	jahre
00:00:12:37 00:00:13:06
00:00:13:06 00:00:13:16					The former German chancellor Helmut Kohl himself made public that he lived there.
00:00:13:16 00:00:13:24							$INDEX1
00:00:13:24 00:00:13:38
00:00:13:38 00:00:14:07							PAST-OR-BACK-THEN1	früher
00:00:14:07 00:00:14:16
00:00:14:16 00:00:15:01							FORMER1	ehemalig
00:00:15:01 00:00:15:22
00:00:15:22 00:00:15:33							$INDEX-ORAL1	bundeskanzler
00:00:15:33 00:00:16:01
00:00:16:01 00:00:16:19							$ALPHA1:K
00:00:16:19 00:00:16:24
00:00:16:24 00:00:16:36							$ALPHA1:#	helmut kohl
00:00:16:36 00:00:16:41
00:00:16:41 00:00:17:43						$NAME
00:00:17:43 00:00:18:07
00:00:18:07 00:00:18:33						TO-SHOW1A*		[MG]
00:00:18:33 00:00:18:45
00:00:18:45 00:00:18:49							I1	ich
00:00:18:49 00:00:19:06
00:00:19:06 00:00:19:14							SELF1A*	selbst
00:00:19:14 00:00:19:26
00:00:19:26 00:00:19:35						APARTMENT5*		wohnen
00:00:19:35 00:00:19:42
00:00:19:42 00:00:20:16							$INDEX1*
00:00:20:16 00:00:20:30
00:00:20:30 00:00:20:45						$GEST-OFF1^
00:00:20:45 00:00:21:02
00:00:21:02 00:00:21:08					He lived so close to me that we always greeted one another.
00:00:21:08 00:00:21:13							I1*
00:00:21:13 00:00:21:17
00:00:21:17 00:00:21:30						CLOSE-BY1A*		[MG]
00:00:21:30 00:00:21:41
00:00:21:41 00:00:21:47						TO-LET1^*		oft
00:00:21:47 00:00:22:04
00:00:22:04 00:00:22:34							TO-GREET2
00:00:22:34 00:00:23:07
00:00:23:07 00:00:23:31						TO-GREET2
00:00:23:31 00:00:23:41
00:00:23:41 00:00:23:44							I2	wohn
00:00:23:44 00:00:24:01
00:00:24:01 00:00:24:14						CLOSE-BY1A*		nah
00:00:24:14 00:00:24:31
00:00:24:31 00:00:25:09							TO-WAVE1
00:00:25:09 00:00:25:25
00:00:25:25 00:00:25:33						$GEST-OFF1^
00:00:25:33 00:00:25:45
00:00:25:45 00:00:26:10						OKAY3*		okay
00:00:26:10 00:00:26:17
00:00:26:17 00:00:26:20					There’s something in town that you surely know, too, it’s not that far away.
00:00:26:20 00:00:26:25							$INDEX1
00:00:26:25 00:00:26:39
00:00:26:39 00:00:27:05							AND1*	und
00:00:27:05 00:00:27:22
00:00:27:22 00:00:27:38						ROUND4A^*		ort
00:00:27:38 00:00:28:00
00:00:28:00 00:00:28:09							ALSO3A*	auch
00:00:28:09 00:00:28:20
00:00:28:20 00:00:28:26							WELL-KNOWN4*	bekannt
00:00:28:26 00:00:28:38
00:00:28:38 00:00:28:46							MUST1	muss nicht
00:00:28:46 00:00:28:49
00:00:28:49 00:00:29:06							MUST1*
00:00:29:06 00:00:29:12
00:00:29:12 00:00:29:38							FAR1	zu weit
00:00:29:38 00:00:30:09
00:00:30:09 00:00:30:32					It’s a well-known factory. No, actually a company.
00:00:30:32 00:00:30:44							WELL-KNOWN2	bekannt
00:00:30:44 00:00:31:22
00:00:31:22 00:00:31:40						$PROD*
00:00:31:40 00:00:32:35
00:00:32:35 00:00:33:09						FACTORY6*		fabrik
00:00:33:09 00:00:33:10
00:00:33:10 00:00:33:23						$GEST-NM-SHAKE-HEAD1^
00:00:33:23 00:00:33:26
00:00:33:26 00:00:33:33						REALLY2		[MG]
00:00:33:33 00:00:33:46
00:00:33:46 00:00:34:15						COMPANY1B*		firma
00:00:34:15 00:00:34:31
00:00:34:31 00:00:35:00						$GEST-OFF1^
00:00:35:00 00:00:35:15
00:00:35:15 00:00:35:25					That company is known all over the world: BASF.
00:00:35:25 00:00:36:05						WORLD1		weltumspannend
00:00:36:05 00:00:36:20
00:00:36:20 00:00:37:31						ROUND7^*
00:00:37:31 00:00:37:44
00:00:37:44 00:00:37:48							$INDEX1
00:00:37:48 00:00:38:17
00:00:38:17 00:00:39:45						$NAME		b-a-s-f
00:00:39:45 00:00:40:20
00:00:40:20 00:00:41:00						$GEST-NM-NOD-HEAD1^
00:00:41:00 00:00:41:19
00:00:41:19 00:00:41:25					It’s also close by my family home.
00:00:41:25 00:00:41:33							$INDEX1*
00:00:41:33 00:00:42:00
00:00:42:00 00:00:42:09						BUT1*		aber
00:00:42:09 00:00:43:05
00:00:43:05 00:00:43:13						ALSO3A*		auch
00:00:43:13 00:00:43:36
00:00:43:36 00:00:43:44						I1*
00:00:43:44 00:00:44:00
00:00:44:00 00:00:44:07						CLOSE-BY1A		[MG]
00:00:44:07 00:00:44:26
00:00:44:26 00:00:44:44							FAR1	nicht so weit
00:00:44:44 00:00:45:02
00:00:45:02 00:00:45:19						$GEST-OFF1^
00:00:45:19 00:00:45:35
00:00:45:35 00:00:45:40							$INDEX1
00:00:45:40 00:00:45:41
00:00:45:41 00:00:45:44							I1	elternhaus
00:00:45:44 00:00:46:03
00:00:46:03 00:00:46:13						APOLOGY1^
00:00:46:13 00:00:46:21
00:00:46:21 00:00:46:25						TO-BUILD1^
00:00:46:25 00:00:46:35
00:00:46:35 00:00:47:12						HOUSE1A^		bauen
00:00:47:12 00:00:47:31
00:00:47:31 00:00:48:08					In close proximity of that well-known village there are loads of other places. It’s all in a wine-growing region.
00:00:48:08 00:00:48:34						VILLAGE4*		dorf
00:00:48:34 00:00:49:05
00:00:49:05 00:00:49:27						$INDEX1*		dort
00:00:49:27 00:00:50:10
00:00:50:10 00:00:50:22						WELL-KNOWN2*		kennt man
00:00:50:22 00:00:50:34
00:00:50:34 00:00:51:05						$INDEX1*
00:00:51:05 00:00:51:13
00:00:51:13 00:00:51:18						ALSO1A*		weil
00:00:51:18 00:00:51:25
00:00:51:25 00:00:51:36						FAR1*		nicht weit
00:00:51:36 00:00:52:02
00:00:52:02 00:00:52:43						TO-SEND-OR-TO-DISPATCH1^*		[MG]
00:00:52:43 00:00:53:15
00:00:53:15 00:00:53:26							WINE4*	weingebiet
00:00:53:26 00:00:53:38
00:00:53:38 00:00:55:37						TERRITORY1*
00:00:55:37 00:00:56:06
00:00:56:06 00:00:56:14					In one of those places within the wine-growing region, there’s usually a sausage market, for example in September.
00:00:56:14 00:00:56:23						ATTENTION1A^*
00:00:56:23 00:00:56:30
00:00:56:30 00:00:56:49						$INDEX1*		weingebiet
00:00:56:49 00:00:57:09
00:00:57:09 00:00:57:16						ATTENTION1A^*
00:00:57:16 00:00:57:27
00:00:57:27 00:00:58:08						PROCEEDING1A^		regelmäßig
00:00:58:08 00:00:58:15
00:00:58:15 00:00:58:22						$GEST-I-DONT-KNOW1^		beispiel
00:00:58:22 00:00:58:33
00:00:58:33 00:00:58:46							SEPTEMBER11*	september
00:00:58:46 00:00:59:10
00:00:59:10 00:00:59:18						UNDER1A^
00:00:59:18 00:00:59:25
00:00:59:25 00:01:00:03						TO-THERE1^
00:01:00:03 00:01:01:07
00:01:01:07 00:01:01:18							OFTEN1A*	oft
00:01:01:18 00:01:01:49
00:01:01:49 00:01:02:17							$INDEX1
00:01:02:17 00:01:03:07
00:01:03:07 00:01:03:18						SAUSAGE1B*		wurstmarkt
00:01:03:18 00:01:03:37
00:01:03:37 00:01:04:21						MARKET3*
00:01:04:21 00:01:04:39
00:01:04:39 00:01:05:01					It’s internationally known. Americans also like to come there.
00:01:05:01 00:01:05:26							$INIT-CIRCLE2^*	international
00:01:05:26 00:01:05:44
00:01:05:44 00:01:06:14							WELL-KNOWN4*	bekannt
00:01:06:14 00:01:06:37
00:01:06:37 00:01:06:43						ALLOWED1^*		auch
00:01:06:43 00:01:06:47
00:01:06:47 00:01:07:04							MUCH1A	viel
00:01:07:04 00:01:07:12
00:01:07:12 00:01:07:28						AMERICA1*		amerika
00:01:07:28 00:01:07:40
00:01:07:40 00:01:07:47							GLADLY1	gern
00:01:07:47 00:01:08:07
00:01:08:07 00:01:09:10						TO-DRIVE3*
00:01:09:10 00:01:09:13
00:01:09:13 00:01:09:20					For them, the sausage market is something of a small Oktoberfest, the one in Munich.
00:01:09:20 00:01:09:27						CLEAR1A*		klar
00:01:09:27 00:01:10:18
00:01:10:18 00:01:10:30						SAUSAGE1B*		wurstmarkt
00:01:10:30 00:01:11:11
00:01:11:11 00:01:11:30						LIKE3A		wie
00:01:11:30 00:01:12:01
00:01:12:01 00:01:12:15						LIKE-SAYING1
00:01:12:15 00:01:12:30
00:01:12:30 00:01:12:45						ACTIVE1^		oktoberfest
00:01:12:45 00:01:13:00
00:01:13:00 00:01:13:24						OKTOBERFEST1
00:01:13:24 00:01:14:00
00:01:14:00 00:01:14:05							MUNICH1A	münchen
00:01:14:05 00:01:14:30
00:01:14:30 00:01:14:43							HIS-HER1*
00:01:14:43 00:01:15:24
00:01:15:24 00:01:15:39						$GEST-OFF1^		[MG]
00:01:15:39 00:01:16:45
00:01:16:45 00:01:17:05						$GEST-OFF1^
00:01:17:05 00:01:17:08
00:01:17:08 00:01:17:30					In my hometown, Oggersheim, there’s also a bit of a special occasion each year:
00:01:17:30 00:01:17:39							AND2B*	und
00:01:17:39 00:01:18:06
00:01:18:06 00:01:18:28							I1	[MG]
00:01:18:28 00:01:18:41
00:01:18:41 00:01:19:00						APARTMENT5		wohnen
00:01:19:00 00:01:19:06
00:01:19:06 00:01:19:18							HOMELAND3*	heimat
00:01:19:18 00:01:19:32
00:01:19:32 00:01:19:42						$NAME		oggersheim
00:01:19:42 00:01:20:04
00:01:20:04 00:01:20:43						$NAME
00:01:20:43 00:01:21:11
00:01:21:11 00:01:21:22							ALSO3A	auch
00:01:21:22 00:01:22:00
00:01:22:00 00:01:22:38							YEAR2A*	jedes jahr
00:01:22:38 00:01:23:08
00:01:23:08 00:01:23:17						$GEST-I-DONT-KNOW1^		[MG]
00:01:23:17 00:01:23:43
00:01:23:43 00:01:24:00							SMALL9	kleine
00:01:24:00 00:01:24:14
00:01:24:14 00:01:24:28						PARTICULARLY4*		besonderheit
00:01:24:28 00:01:24:34
00:01:24:34 00:01:24:48						$GEST-I-DONT-KNOW1^
00:01:24:48 00:01:25:17
00:01:25:17 00:01:25:33						$GEST-I-DONT-KNOW1^		[MG]
00:01:25:33 00:01:25:45
00:01:25:45 00:01:26:21					A motor show.
00:01:26:21 00:01:26:36							TO-PARK1^*	autoausstellung
00:01:26:36 00:01:26:46
00:01:26:46 00:01:27:38						AREA1D^*
00:01:27:38 00:01:28:21
00:01:28:21 00:01:28:28					With a street festival, a parade, and a kerve [dialect for consecration of a church].
00:01:28:28 00:01:28:37						WITH1A*		mit
00:01:28:37 00:01:29:00
00:01:29:00 00:01:29:10						STREET1A*		straßenfest
00:01:29:10 00:01:29:27
00:01:29:27 00:01:30:00						CELEBRATION1A
00:01:30:00 00:01:30:32
00:01:30:32 00:01:31:22							$PROD*	umzug
00:01:31:22 00:01:31:43
00:01:31:43 00:01:32:08						TO-SPIN1*		kerwe
00:01:32:08 00:01:32:39
00:01:32:39 00:01:33:00					On average, that’s four days in September, and a week later, the sausage market starts.
00:01:33:00 00:01:33:04							ATTENTION1A^
00:01:33:04 00:01:33:23
00:01:33:23 00:01:33:35						AVERAGE1C		durchschnitt
00:01:33:35 00:01:33:43
00:01:33:43 00:01:33:47							$NUM-ONE-TO-TEN1A:4*
00:01:33:47 00:01:34:08
00:01:34:08 00:01:34:13							IN1*	im
00:01:34:13 00:01:34:21
00:01:34:21 00:01:34:34							SEPTEMBER11*	september
00:01:34:34 00:01:35:11
00:01:35:11 00:01:35:18							$NUM-ONE-TO-TEN1A:4*	vier
00:01:35:18 00:01:35:26
00:01:35:26 00:01:35:30							DAY4*	tage
00:01:35:30 00:01:35:47
00:01:35:47 00:01:36:09						PERIOD-OF-TIME1A*
00:01:36:09 00:01:36:42
00:01:36:42 00:01:37:08						OVER2B*		vorbei
00:01:37:08 00:01:37:28
00:01:37:28 00:01:37:42						LATER10*
00:01:37:42 00:01:38:04
00:01:38:04 00:01:38:29						WEEK1A*		eine woche
00:01:38:29 00:01:38:39
00:01:38:39 00:01:39:10						LATER10*		später
00:01:39:10 00:01:39:22
00:01:39:22 00:01:39:29						SAUSAGE1B*		wurstmarkt [MG]
00:01:39:29 00:01:39:38
00:01:39:38 00:01:39:46						$INDEX1*
00:01:39:46 00:01:40:16
00:01:40:16 00:01:41:29						COHERENCE1B^*
00:01:41:29 00:01:41:41
00:01:41:41 00:01:41:47						$GEST-I-DONT-KNOW1^
00:01:41:47 00:01:42:07					I’m not a big fan of it. I don’t always need that.
00:01:42:07 00:01:42:12							I1
00:01:42:12 00:01:42:22
00:01:42:22 00:01:42:34							FAN1*	fan
00:01:42:34 00:01:42:44
00:01:42:44 00:01:43:04							I1	[MG]
00:01:43:04 00:01:43:20
00:01:43:20 00:01:43:35						USUAL1*		normal
00:01:43:35 00:01:43:44
00:01:43:44 00:01:43:49							$NUM-HUNDRED2*	hundert
00:01:43:49 00:01:44:04
00:01:44:04 00:01:44:11							PERCENT6*	prozent
00:01:44:11 00:01:44:27
00:01:44:27 00:01:44:46						TO-NEED1*		[MG]
00:01:44:46 00:01:45:08					But many people know the 1. FC Kaiserslautern.
00:01:45:08 00:01:45:12							BUT1*	aber
00:01:45:12 00:01:45:32
00:01:45:32 00:01:45:42						$GEST-I-DONT-KNOW1^		[MG]
00:01:45:42 00:01:46:26
00:01:46:26 00:01:46:32							TO-KNOW-STH-OR-SB1A*
00:01:46:32 00:01:46:36
00:01:46:36 00:01:46:41							CLEAR1B	klar
00:01:46:41 00:01:47:15
00:01:47:15 00:01:47:24							MUCH9	viele
00:01:47:24 00:01:47:35
00:01:47:35 00:01:48:01							TO-KNOW-STH-OR-SB1A	kennen
00:01:48:01 00:01:48:26
00:01:48:26 00:01:48:38							FIRST-OF-ALL1C	erster
00:01:48:38 00:01:48:49
00:01:48:49 00:01:49:26							$ALPHA1:F-C	f-c
00:01:49:26 00:01:50:04
00:01:50:04 00:01:50:20							KAISERSLAUTERN1*	kaiserslautern
00:01:50:20 00:01:50:37
00:01:50:37 00:01:51:12						$GEST-OFF1^
00:01:51:12 00:01:51:15
00:01:51:15 00:01:51:21					That’s also only about 60 kilometres away.
00:01:51:21 00:01:51:25							AND2B*	und
00:01:51:25 00:01:51:36
00:01:51:36 00:01:51:46							FAR1	auch
00:01:51:46 00:01:51:48
00:01:51:48 00:01:52:04						$GEST-OFF1^		nicht weit
00:01:52:04 00:01:52:09
00:01:52:09 00:01:52:14							I2^
00:01:52:14 00:01:52:26
00:01:52:26 00:01:53:00							FAR1*	[MG]
00:01:53:00 00:01:53:27
00:01:53:27 00:01:53:39						$NUM-TENS2A:6d*		sechzig
00:01:53:39 00:01:54:03
00:01:54:03 00:01:54:38						TO-EMERGE1^*		kilometer
00:01:54:38 00:01:54:49
00:01:54:49 00:01:55:18						$GEST-OFF1^
00:01:55:18 00:01:56:24
00:01:56:24 00:01:57:02						$GEST-OFF1^
00:01:57:02 00:01:57:23
00:01:57:23 00:01:57:42					A well-known food in the region is a stuffed pig’s stomach.
00:01:57:42 00:01:58:00							WELL-KNOWN2*	bekannt
00:01:58:00 00:01:58:12
00:01:58:12 00:01:58:30							LOCATION1A^*	gericht
00:01:58:30 00:01:58:41
00:01:58:41 00:01:59:00						$GEST-I-DONT-KNOW1^		[MG]
00:01:59:00 00:01:59:09
00:01:59:09 00:01:59:20							I1*	bei unser
00:01:59:20 00:01:59:31
00:01:59:31 00:02:00:17							TERRITORY1	gebiet
00:02:00:17 00:02:00:42
00:02:00:42 00:02:00:48						PARTICULARLY1A*
00:02:00:48 00:02:01:13
00:02:01:13 00:02:01:20							PIG1B	saumagen
00:02:01:20 00:02:01:47
00:02:01:47 00:02:02:29						ROUND4B^
00:02:02:29 00:02:02:38
00:02:02:38 00:02:03:13						$GEST-OFF1^
00:02:03:13 00:02:03:17
00:02:03:17 00:02:03:28					That’s really famous; it’s a delicacy from Deidesheim.
00:02:03:28 00:02:03:35							WELL-KNOWN4*	bekannt
00:02:03:35 00:02:03:49
00:02:03:49 00:02:04:24						ROUND4B^
00:02:04:24 00:02:04:40
00:02:04:40 00:02:04:47						CLOSE-BY1A*		[MG]
00:02:04:47 00:02:05:12
00:02:05:12 00:02:05:25							$ALPHA1:D-#	deidesheim
00:02:05:25 00:02:06:13
00:02:06:13 00:02:06:27					One can often read in the newspaper that politicians and actors have been awarded a special prize: the pig’s stomach medal [medal awarded during carnival celebrations].
00:02:06:27 00:02:06:33							OFTEN1B	oft
00:02:06:33 00:02:06:41
00:02:06:41 00:02:06:47							MUCH9	viel
00:02:06:47 00:02:07:11
00:02:07:11 00:02:07:18							OFTEN1B*	oft
00:02:07:18 00:02:07:31
00:02:07:31 00:02:07:37						NEWSPAPER3*		zeitung
00:02:07:37 00:02:08:09
00:02:08:09 00:02:08:20						TO-READ-BOOK2B
00:02:08:20 00:02:08:39
00:02:08:39 00:02:08:49						POLITICS1		politiker
00:02:08:49 00:02:09:06
00:02:09:06 00:02:09:14						$GEST-OFF1^*
00:02:09:14 00:02:09:22
00:02:09:22 00:02:09:37						$INDEX1*		schauspieler
00:02:09:37 00:02:09:43
00:02:09:43 00:02:10:04						$GEST-OFF1^*
00:02:10:04 00:02:10:27
00:02:10:27 00:02:10:36							OFTEN1B*	oft
00:02:10:36 00:02:10:49
00:02:10:49 00:02:11:09						TO-HONOUR1A		ehrenpreis
00:02:11:09 00:02:11:17
00:02:11:17 00:02:11:20						$GEST-OFF1^
00:02:11:20 00:02:11:37
00:02:11:37 00:02:11:47							POISON1B^	saumagenorden
00:02:11:47 00:02:12:20
00:02:12:20 00:02:12:40							MEDAL1B^*
00:02:12:40 00:02:13:04
00:02:13:04 00:02:13:20						$GEST-OFF1^
00:02:13:20 00:02:13:37
00:02:13:37 00:02:13:47					It’s the pig’s stomach medal.
00:02:13:47 00:02:14:03							POISON1B^	saumagenorden
00:02:14:03 00:02:14:17
00:02:14:17 00:02:14:30							MEDAL1B^*
00:02:14:30 00:02:14:43
00:02:14:43 00:02:15:09						$GEST-OFF1^
00:02:15:09 00:02:16:15
00:02:16:15 00:02:16:38	Deidesheim is special, too.
00:02:16:38 00:02:16:49			ALSO1C	auch
00:02:16:49 00:02:17:25
00:02:17:25 00:02:17:45			PARTICULARLY1A	besonders
00:02:17:45 00:02:18:03
00:02:18:03 00:02:18:21			$INDEX1
00:02:18:21 00:02:18:30
00:02:18:30 00:02:18:38			TO-HIT1^*	deidesheim
00:02:18:38 00:02:18:45
00:02:18:45 00:02:19:03		HOME3*
00:02:19:03 00:02:19:11
00:02:19:11 00:02:19:27			$INDEX1
00:02:19:27 00:02:20:40
00:02:20:40 00:02:20:48
00:02:20:48 00:02:21:05	The chancellor/		CHANCELLOR2*	kanzler
00:02:21:05 00:02:21:29
00:02:21:29 00:02:21:47			CHANCELLOR3*	bun{des}ka{nzler}
00:02:21:47 00:02:22:05	The chancellor at the time, Kohl, invited other important politicians, like Bush, and one from Russia and some more from other countries.
00:02:22:05 00:02:22:22			BACK-THEN1*	damals
00:02:22:22 00:02:22:35
00:02:22:35 00:02:22:41			CHANCELLOR3*	bundeskanzler
00:02:22:41 00:02:23:00
00:02:23:00 00:02:23:10			MAIN1A^
00:02:23:10 00:02:23:22
00:02:23:22 00:02:24:14			$NAME-HELMUT-KOHL1*	kohl
00:02:24:14 00:02:24:45
00:02:24:45 00:02:25:01		POLITICS1*
00:02:25:01 00:02:25:04
00:02:25:04 00:02:25:16			HIGH3A	hohe
00:02:25:16 00:02:25:22
00:02:25:22 00:02:26:08		POLITICS1*		politiker
00:02:26:08 00:02:26:34
00:02:26:34 00:02:27:02		$LIST1:1of1d
00:02:27:02 00:02:27:13
00:02:27:13 00:02:27:19		$CUED-SPEECH*		bush
00:02:27:19 00:02:27:21
00:02:27:21 00:02:27:28		$INDEX1*
00:02:27:28 00:02:27:44
00:02:27:44 00:02:29:25		$LIST1:2of2d
00:02:29:25 00:02:29:35
00:02:29:35 00:02:29:44		$ORAL^		aus
00:02:29:44 00:02:29:48
00:02:29:48 00:02:30:18		RUSSIA4B*		russland
00:02:30:18 00:02:30:38
00:02:30:38 00:02:31:08		AND-SO-ON2		und so weiter
00:02:31:08 00:02:31:25
00:02:31:25 00:02:31:44		TO-INVITE1A		eingeladen
00:02:31:44 00:02:31:49
00:02:31:49 00:02:32:14	Afterwards, they always went to Deidesheim.
00:02:32:14 00:02:32:23		CAN2A^*		dann
00:02:32:23 00:02:32:35
00:02:32:35 00:02:33:09		ALWAYS4A		immer
00:02:33:09 00:02:33:29
00:02:33:29 00:02:33:44		COHERENCE1A^		anschließend
00:02:33:44 00:02:34:07
00:02:34:07 00:02:34:14		IN1		in
00:02:34:14 00:02:34:27
00:02:34:27 00:02:34:48		CAN2A^		deidesheim
00:02:34:48 00:02:35:14
00:02:35:14 00:02:35:30		WELCOME1A^*
00:02:35:30 00:02:35:34
00:02:35:34 00:02:35:46	There, they were always served stuffed pig’s stomach.
00:02:35:46 00:02:36:02		THERE1*		dort
00:02:36:02 00:02:36:12
00:02:36:12 00:02:36:19		THERE-IS3*		gibt
00:02:36:19 00:02:36:26
00:02:36:26 00:02:36:34		CAN2A^		immer
00:02:36:34 00:02:36:49
00:02:36:49 00:02:37:06		SOW1		saumagen
00:02:37:06 00:02:37:18
00:02:37:18 00:02:37:26		$PROD*
00:02:37:26 00:02:37:40
00:02:37:40 00:02:38:09		TO-EAT-OR-FOOD2^
00:02:38:09 00:02:38:17
00:02:38:17 00:02:38:34		DIFFERENT2*
00:02:38:34 00:02:38:41
00:02:38:41 00:02:39:07		$PROD*
00:02:39:07 00:02:39:11
00:02:39:11 00:02:39:23					You know that restaurant, what’s it called again?
00:02:39:23 00:02:39:28							$GEST-ATTENTION1^*
00:02:39:28 00:02:39:42
00:02:39:42 00:02:40:04							TO-KNOW-STH-OR-SB1A	du kennst
00:02:40:04 00:02:40:13
00:02:40:13 00:02:40:17							$NUM-ONE-TO-TEN1A:1d	ein
00:02:40:17 00:02:40:35
00:02:40:35 00:02:40:49						HEADING1^
00:02:40:49 00:02:41:14
00:02:41:14 00:02:41:35						RESTAURANT1		restaurant
00:02:41:35 00:02:41:41
00:02:41:41 00:02:41:48						WHATS-THE-NAME-$CANDIDATE-FRA26^		wie heißt
00:02:41:48 00:02:42:05	The Deidesheimer Hof.
00:02:42:05 00:02:42:09		$GEST-ATTENTION1^*
00:02:42:09 00:02:42:28
00:02:42:28 00:02:42:31
00:02:42:31 00:02:42:44		CAN2A^*		deidesheimer
00:02:42:44 00:02:43:06
00:02:43:06 00:02:43:15		DARK1^*
00:02:43:15 00:02:43:25
00:02:43:25 00:02:43:34		COURTYARD1		hof
00:02:43:34 00:02:43:46
00:02:43:46 00:02:44:12		COURTYARD4*
00:02:44:12 00:02:44:28		COURTYARD4*			Yes, exactly.
00:02:44:28 00:02:44:35
00:02:44:35 00:02:44:40							$INDEX1
00:02:44:40 00:02:44:42
00:02:44:42 00:02:44:45
00:02:44:45 00:02:45:10							YES1A*	ja
00:02:45:10 00:02:45:22						$ORAL^		genau
00:02:45:22 00:02:45:25					The Deidesheimer Hof is known nationwide.
00:02:45:25 00:02:46:17							$INDEX1	deidesheimer hof
00:02:46:17 00:02:46:19
00:02:46:19 00:02:46:32							WELL-KNOWN2*	bekannt
00:02:46:32 00:02:47:00
00:02:47:00 00:02:47:15							OVER-OR-ABOUT1	überregional
00:02:47:15 00:02:47:25
00:02:47:25 00:02:47:42							REGION1
00:02:47:42 00:02:48:04
00:02:48:04 00:02:48:10							TO-KNOW-STH-OR-SB1A*	kennt
00:02:48:10 00:02:48:18
00:02:48:18 00:02:48:26							ON-PERSON1^	bekannt
00:02:48:26 00:02:48:48
00:02:48:48 00:02:49:15	Their chef is a famous starred chef.
00:02:49:15 00:02:49:45			$GEST-ATTENTION1^*
00:02:49:45 00:02:50:11
00:02:50:11 00:02:50:21		TO-PUT-IN3^
00:02:50:21 00:02:50:34
00:02:50:34 00:02:50:47		TO-COOK3B		koch
00:02:50:47 00:02:51:07
00:02:51:07 00:02:51:12		ALSO1A*		auch
00:02:51:12 00:02:51:21
00:02:51:21 00:02:51:28		WELL-KNOWN4*		bekannt
00:02:51:28 00:02:51:40
00:02:51:40 00:02:51:48		MEANING3*		bedeutet
00:02:51:48 00:02:52:09
00:02:52:09 00:02:52:19		HIGH3A		hoch
00:02:52:19 00:02:52:32
00:02:52:32 00:02:52:42		STAR1*		sternekoch
00:02:52:42 00:02:53:06					The restaurant has three/ no, two stars.
00:02:53:06 00:02:53:19		TO-COOK3B
00:02:53:19 00:02:53:37		TO-COOK3B					$NUM-ONE-TO-TEN1B:3d
00:02:53:37 00:02:53:46							$NUM-ONE-TO-TEN1B:3d
00:02:53:46 00:02:54:02	Mister Schwarz, but sadly he doesn’t work there anymore.
00:02:54:02 00:02:54:05		$GEST^*
00:02:54:05 00:02:54:08		$GEST^*					$NUM-ONE-TO-TEN1B:2d	zwei sterne
00:02:54:08 00:02:54:20
00:02:54:20 00:02:54:25		MISTER-$CANDIDATE-FRA37^		herr
00:02:54:25 00:02:54:27		MISTER-$CANDIDATE-FRA37^		herr
00:02:54:27 00:02:54:39
00:02:54:39 00:02:54:41		$GEST^*
00:02:54:41 00:02:54:44							$NUM-ONE-TO-TEN1A:2	zwei-sterne-koch
00:02:54:44 00:02:54:48
00:02:54:48 00:02:55:22						STAR1*
00:02:55:22 00:02:55:30
00:02:55:30 00:02:55:35							OBJECT-ON-NECKLACE1^
00:02:55:35 00:02:55:37		MISTER-$CANDIDATE-FRA37^*		herr			OBJECT-ON-NECKLACE1^
00:02:55:37 00:02:56:01		MISTER-$CANDIDATE-FRA37^*		herr
00:02:56:01 00:02:56:02
00:02:56:02 00:02:56:09
00:02:56:09 00:02:56:17		MISTER-$CANDIDATE-FRA37^		herr
00:02:56:17 00:02:56:32
00:02:56:32 00:02:57:10		BLACK1		schwarz
00:02:57:10 00:02:58:15
00:02:58:15 00:02:58:24		BUT1*		aber
00:02:58:24 00:02:58:37
00:02:58:37 00:02:59:03		UNFORTUNATELY1A		leider
00:02:59:03 00:02:59:14
00:02:59:14 00:02:59:22		HERE1*		hier
00:02:59:22 00:02:59:32
00:02:59:32 00:02:59:49		TO-WORK1		arbeit
00:02:59:49 00:03:00:03
00:03:00:03 00:03:00:08		TO-COOK3B*		koch
00:03:00:08 00:03:00:18
00:03:00:18 00:03:01:05		NOT3B		nicht mehr
00:03:01:05 00:03:01:13
00:03:01:13 00:03:01:29	He went to Heidelberg.
00:03:01:29 00:03:02:12		TO-MOVE1^		heidelberg
00:03:02:12 00:03:03:04
00:03:03:04 00:03:03:13		$GEST-OFF1^*		heidelberg
00:03:03:13 00:03:03:20
00:03:03:20 00:03:03:30	They have a new chef at the Deidesheimer Hof. It works well with him, too.
00:03:03:30 00:03:03:33		$NUM-ONE-TO-TEN1A:1		ein
00:03:03:33 00:03:03:40
00:03:03:40 00:03:03:47		NEW1A		neu
00:03:03:47 00:03:04:08
00:03:04:08 00:03:04:31		TO-MOVE2^		küche
00:03:04:31 00:03:04:42
00:03:04:42 00:03:05:00		ALSO3A*		auch
00:03:05:00 00:03:05:06
00:03:05:06 00:03:05:18		PROCEEDING1A		läuft
00:03:05:18 00:03:05:27
00:03:05:27 00:03:05:47		GOOD1*		auch gut
00:03:05:47 00:03:06:00
00:03:06:00 00:03:06:19		IT-WORKS1*		weiter
00:03:06:19 00:03:06:22
00:03:06:22 00:03:06:35		OFF-OR-TO-REMOVE-STH2^*
00:03:06:35 00:03:07:09
00:03:07:09 00:03:09:32
00:03:09:32 00:03:09:48	I live in #Name1, close to Ludwigshafen.
00:03:09:48 00:03:10:11		AND2A		und dann
00:03:10:11 00:03:10:26
00:03:10:26 00:03:10:46		I1	$NUM-ONE-TO-TEN1A:2d	ich
00:03:10:46 00:03:11:06
00:03:11:06 00:03:11:13		$INDEX1*		da
00:03:11:13 00:03:11:19
00:03:11:19 00:03:12:03		NEAR1A*		bei mir
00:03:12:03 00:03:12:17
00:03:12:17 00:03:12:30		APARTMENT5*		wohne
00:03:12:30 00:03:12:48
00:03:12:48 00:03:13:06		$NAME		#name1
00:03:13:06 00:03:13:08
00:03:13:08 00:03:13:18		I2
00:03:13:18 00:03:13:39
00:03:13:39 00:03:14:08		NEAR1C		bei
00:03:14:08 00:03:14:14
00:03:14:14 00:03:15:49		LUDWIGSHAFEN1*		ludwigshafen
00:03:15:49 00:03:16:13	There are also many different events going on.
00:03:16:13 00:03:16:17		TO-HAVE-TO-OWN1*	$INDEX1	hat
00:03:16:17 00:03:16:24
00:03:16:24 00:03:16:31		ALSO3A*		auch
00:03:16:31 00:03:16:39
00:03:16:39 00:03:16:43		THERE1		dort
00:03:16:43 00:03:17:05
00:03:17:05 00:03:17:13		MUCH1A		viele
00:03:17:13 00:03:17:20
00:03:17:20 00:03:17:26		AND2A*		und
00:03:17:26 00:03:17:30
00:03:17:30 00:03:18:12		DISTINCT2B		verschiedene
00:03:18:12 00:03:18:23
00:03:18:23 00:03:18:43		EVENT1		veranstaltungen
00:03:18:43 00:03:20:17
00:03:20:17 00:03:20:32	In my village, #Name1, every first Sunday/
00:03:20:32 00:03:21:11		MY1*		mein
00:03:21:11 00:03:21:24
00:03:21:24 00:03:21:39		VILLAGE4		dorf
00:03:21:39 00:03:22:00
00:03:22:00 00:03:22:21		$NAME		#name1
00:03:22:21 00:03:22:31
00:03:22:31 00:03:22:39		TO-HAVE-TO-OWN1*		hat
00:03:22:39 00:03:23:26
00:03:23:26 00:03:23:42		EVERY1B		jeden
00:03:23:42 00:03:24:04
00:03:24:04 00:03:24:09		MONTH1*		m{onat}
00:03:24:09 00:03:24:17
00:03:24:17 00:03:24:24		FIRST-OF-ALL1A		ersten
00:03:24:24 00:03:25:21
00:03:25:21 00:03:25:27		SUNDAY2*		sonn{tag}
00:03:25:27 00:03:25:32
00:03:25:32 00:03:25:46		$GEST-NM-SHAKE-HEAD1^
00:03:25:46 00:03:25:49	No, every first Saturday in October one can experience the Kerwe.
00:03:25:49 00:03:26:28		PERIOD1A^*		sonnabend
00:03:26:28 00:03:26:34
00:03:26:34 00:03:26:39		$ORAL^		im
00:03:26:39 00:03:26:42
00:03:26:42 00:03:27:03		MONTH1		monat
00:03:27:03 00:03:27:23
00:03:27:23 00:03:27:36		QUESTION1^*		oktober
00:03:27:36 00:03:28:22
00:03:28:22 00:03:28:39		ROUND3A^*		kerwe
00:03:28:39 00:03:28:49
00:03:28:49 00:03:29:05		$CUED-SPEECH*
00:03:29:05 00:03:30:25
00:03:30:25 00:03:30:31		THERE-IS3*		gibt
00:03:30:31 00:03:30:43
00:03:30:43 00:03:31:04	The village is quite small and good for families.
00:03:31:04 00:03:31:08		THE1		das
00:03:31:08 00:03:31:19
00:03:31:19 00:03:31:26		VILLAGE4*		dorf
00:03:31:26 00:03:31:35
00:03:31:35 00:03:32:01		$GEST-OFF1^
00:03:32:01 00:03:32:13
00:03:32:13 00:03:32:23		SMALL11		klein
00:03:32:23 00:03:32:32
00:03:32:32 00:03:33:04		BEAUTIFUL3*		auch schön
00:03:33:04 00:03:33:10
00:03:33:10 00:03:33:17		FOR1		für
00:03:33:17 00:03:33:46
00:03:33:46 00:03:34:13		FAMILY3*		familien
00:03:34:13 00:03:34:21
00:03:34:21 00:03:34:42		PROCEEDING1B
00:03:34:42 00:03:34:47
00:03:34:47 00:03:35:07		$GEST-OFF1^
00:03:35:07 00:03:35:27
00:03:35:27 00:03:36:06	The next biggest city is Speyer.
00:03:36:06 00:03:36:14		$LIST1:3of3d		und dann
00:03:36:14 00:03:36:23
00:03:36:23 00:03:36:48		IN-FRONT1^*		nächste
00:03:36:48 00:03:38:17
00:03:38:17 00:03:38:29		CITY2*		stadt
00:03:38:29 00:03:39:02
00:03:39:02 00:03:39:23		AWARD2^*		speyer
00:03:39:23 00:03:39:37
00:03:39:37 00:03:41:05
00:03:41:05 00:03:41:20	With a huge church, the cathedral.
00:03:41:20 00:03:41:31		THERE1*		dort
00:03:41:31 00:03:41:41
00:03:41:41 00:03:41:49		TO-HAVE-TO-OWN1*		hat
00:03:41:49 00:03:42:43
00:03:42:43 00:03:43:29		SOLID1A^*		gewaltige
00:03:43:29 00:03:43:39
00:03:43:39 00:03:44:00		CHURCH3*		kirche
00:03:44:00 00:03:44:20
00:03:44:20 00:03:44:38		SPIKY-AT-THE-TOP2A^*		dom
00:03:44:38 00:03:45:11
00:03:45:11 00:03:46:07
00:03:46:07 00:03:46:25					A catholic one.
00:03:46:25 00:03:46:48						CATHOLIC2		katholisch
00:03:46:48 00:03:47:17
00:03:47:17 00:03:47:21	A catholic cathedral.
00:03:47:21 00:03:47:31
00:03:47:31 00:03:47:46		CATHOLIC2*		katholischer
00:03:47:46 00:03:48:15
00:03:48:15 00:03:48:29		SPIKY-AT-THE-TOP2A^*		dom
00:03:48:29 00:03:49:05
00:03:49:05 00:03:49:34
00:03:49:34 00:03:49:43	That cathedral is really famous.
00:03:49:43 00:03:49:49			ALSO1A*	auch
00:03:49:49 00:03:50:05
00:03:50:05 00:03:50:15		$ORAL^		ein
00:03:50:15 00:03:50:19
00:03:50:19 00:03:50:31		WELL-KNOWN2		bekannt
00:03:50:31 00:03:51:07
00:03:51:07 00:03:51:32		$GEST-OFF1^
00:03:51:32 00:03:52:00
00:03:52:00 00:03:52:06		SPIKY-AT-THE-TOP2A^*		dom
00:03:52:06 00:03:52:22
00:03:52:22 00:03:52:34
00:03:52:34 00:03:52:48					Another famous city close by is Worms.
00:03:52:48 00:03:53:05							AND5*	und
00:03:53:05 00:03:53:11
00:03:53:11 00:03:53:17							ALSO3A*	auch
00:03:53:17 00:03:53:39
00:03:53:39 00:03:53:47							FAR1	nicht so weit
00:03:53:47 00:03:54:04
00:03:54:04 00:03:54:11						CLOSE-BY1B
00:03:54:11 00:03:54:21
00:03:54:21 00:03:54:37						OUR1A*		von unser
00:03:54:37 00:03:54:45
00:03:54:45 00:03:55:01						TO-SIT1A^*		ort
00:03:55:01 00:03:55:07
00:03:55:07 00:03:55:19						DISTANCE-OR-RANGE2*
00:03:55:19 00:03:55:28
00:03:55:28 00:03:55:33							$ALPHA1:W	worms
00:03:55:33 00:03:55:46
00:03:55:46 00:03:56:08							$CUED-SPEECH*
00:03:56:08 00:03:56:31
00:03:56:31 00:03:56:46					It’s known for its extensive history.
00:03:56:46 00:03:57:11							WELL-KNOWN2^*	berühmt
00:03:57:11 00:03:57:24
00:03:57:24 00:03:57:33						$GEST-OFF1^
00:03:57:33 00:03:58:03
00:03:58:03 00:03:58:09						$INDEX1*		für
00:03:58:09 00:03:58:16
00:03:58:16 00:03:58:22						TO-BELONG1^*		die
00:03:58:22 00:03:58:32
00:03:58:32 00:03:58:39							PAST1^	alte
00:03:58:39 00:03:59:00
00:03:59:00 00:03:59:39						HISTORY-OR-STORY1B*		geschichte
00:03:59:39 00:03:59:48
00:03:59:48 00:04:00:17					Martin Luther was ordered and warned there.
00:04:00:17 00:04:00:26							THERE1	dort
00:04:00:26 00:04:01:08
00:04:01:08 00:04:01:18							MUST1A^	wurde
00:04:01:18 00:04:02:14
00:04:02:14 00:04:02:39						$INDEX1
00:04:02:39 00:04:03:04
00:04:03:04 00:04:03:12						$GEST-OFF1^
00:04:03:12 00:04:03:31
00:04:03:31 00:04:03:48						$INIT-STRAIGHT1^*		martin luther
00:04:03:48 00:04:04:05
00:04:04:05 00:04:04:25							$ALPHA1:L
00:04:04:25 00:04:05:05
00:04:05:05 00:04:05:24							WARNING1*	verwarnt
00:04:05:24 00:04:05:47
00:04:05:47 00:04:06:15					Martin Luther supposedly publicly said, “Here I stand, I cannot do otherwise.”
00:04:06:15 00:04:06:26						$ORAL^		und
00:04:06:26 00:04:06:34
00:04:06:34 00:04:06:39							THERE1	dort
00:04:06:39 00:04:06:48
00:04:06:48 00:04:07:08						SHOULD1		soll
00:04:07:08 00:04:07:21
00:04:07:21 00:04:07:46							$ALPHA1:L*	martin luther
00:04:07:46 00:04:08:06
00:04:08:06 00:04:08:15						PUBLIC3		öffentlich
00:04:08:15 00:04:08:25
00:04:08:25 00:04:08:36							TO-SAY3*	gesagt
00:04:08:36 00:04:09:02
00:04:09:02 00:04:09:20						$ORAL^		haben
00:04:09:20 00:04:09:32
00:04:09:32 00:04:09:40							I1*	hier
00:04:09:40 00:04:10:06
00:04:10:06 00:04:10:19						TO-STAND1		stehe
00:04:10:19 00:04:10:36
00:04:10:36 00:04:10:42							I1*	ich
00:04:10:42 00:04:11:23
00:04:11:23 00:04:11:45							I1*	und ich
00:04:11:45 00:04:12:01
00:04:12:01 00:04:12:11						CAN2A		kann
00:04:12:11 00:04:12:19
00:04:12:19 00:04:12:24							I1
00:04:12:24 00:04:12:31
00:04:12:31 00:04:12:38							NOT3A	nicht
00:04:12:38 00:04:13:00
00:04:13:00 00:04:13:16						DIFFERENT3*		anders
00:04:13:16 00:04:13:47
00:04:13:47 00:04:17:01
00:04:17:01 00:04:17:14					Worms is also famous for the Nibelungen and Siegfried.
00:04:17:14 00:04:17:19							AND5*	und
00:04:17:19 00:04:17:23
00:04:17:23 00:04:17:28							$INDEX1
00:04:17:28 00:04:17:35
00:04:17:35 00:04:17:46							$ALPHA1:W	worms
00:04:17:46 00:04:18:11
00:04:18:11 00:04:18:15						$ORAL^		auch
00:04:18:15 00:04:18:16
00:04:18:16 00:04:18:29							WELL-KNOWN2^*	berühmt
00:04:18:29 00:04:19:12
00:04:19:12 00:04:19:24						THROUGH2B		durch
00:04:19:24 00:04:20:04
00:04:20:04 00:04:20:49							$ALPHA1:N-#-L-G	nibelungen
00:04:20:49 00:04:21:42
00:04:21:42 00:04:22:15						TO-RIDE1A^*		siegfried
00:04:22:15 00:04:22:24
00:04:22:24 00:04:22:34						$GEST-OFF1^
00:04:22:34 00:04:23:09
00:04:23:09 00:04:23:24					During a hunt, Hagen stabs him in the spot on his back marked by a cross. That’s how it is told.
00:04:23:24 00:04:23:37							AND5*	und
00:04:23:37 00:04:23:44
00:04:23:44 00:04:24:04						SPIRIT1B^*		jagd
00:04:24:04 00:04:24:36
00:04:24:36 00:04:24:40						$INDEX1*		kreuzstoß
00:04:24:40 00:04:24:48
00:04:24:48 00:04:25:01						$INDEX1*
00:04:25:01 00:04:25:19
00:04:25:19 00:04:25:32							TO-STAB6
00:04:25:32 00:04:26:16
00:04:26:16 00:04:26:26						THROUGH2B		durch
00:04:26:26 00:04:26:42
00:04:26:42 00:04:27:10							$CUED-SPEECH*	hagen
00:04:27:10 00:04:27:20
00:04:27:20 00:04:27:28							TO-SAY1
00:04:27:28 00:04:27:35
00:04:27:35 00:04:27:38						$GEST-OFF1^
00:04:27:38 00:04:27:44
00:04:27:44 00:04:28:03						$GEST-OFF1^
00:04:28:03 00:04:28:40
00:04:28:40 00:04:29:04					And the treasure of the Nibelungs is supposedly sunk in the river Rhine.
00:04:29:04 00:04:29:09							AND5*	und
00:04:29:09 00:04:29:16
00:04:29:16 00:04:29:23							IN1	im
00:04:29:23 00:04:29:28
00:04:29:28 00:04:29:38							RHINE-RIVER1*	rhein
00:04:29:38 00:04:29:46
00:04:29:46 00:04:30:04							SHOULD1	soll
00:04:30:04 00:04:30:31
00:04:30:31 00:04:30:47							$ALPHA1:N-N-N	nibelungenschatz
00:04:30:47 00:04:31:24
00:04:31:24 00:04:31:35						TO-GIVE1A^*
00:04:31:35 00:04:32:07
00:04:32:07 00:04:32:24						TO-SINK1^		versunken
00:04:32:24 00:04:32:40
00:04:32:40 00:04:33:03						TO-LET1^		sein
00:04:33:03 00:04:34:03
00:04:34:03 00:04:34:13						$GEST-OFF1^
00:04:34:13 00:04:34:40
00:04:34:40 00:04:35:06	The next well-known city is Heidelberg.
00:04:35:06 00:04:35:14		AND-THEN2		und dann
00:04:35:14 00:04:35:31
00:04:35:31 00:04:36:05		OUTDOORS1B^		die nächste
00:04:36:05 00:04:36:24
00:04:36:24 00:04:36:40		WELL-KNOWN4		bekannte
00:04:36:40 00:04:37:04
00:04:37:04 00:04:37:14		CITY2*		stadt
00:04:37:14 00:04:37:33
00:04:37:33 00:04:38:06		TRADE-OR-NEGOTIATION1^		heidelberg
00:04:38:06 00:04:38:44
00:04:38:44 00:04:39:39
00:04:39:39 00:04:39:46					Wait/
00:04:39:46 00:04:40:07						MOMENT3*		m{oment}
00:04:40:07 00:04:40:09	Heidelberg is close.					MOMENT3*		m{oment}
00:04:40:09 00:04:40:23
00:04:40:23 00:04:40:42		TRADE-OR-NEGOTIATION1^*		heidelberg
00:04:40:42 00:04:40:45
00:04:40:45 00:04:40:48		UNION2A^
00:04:40:48 00:04:41:02		UNION2A^
00:04:41:02 00:04:41:05
00:04:41:05 00:04:41:08					No, Heidelberg belongs to Baden-Wuerttemberg.
00:04:41:08 00:04:41:16						$INDEX1*		heidelberg
00:04:41:16 00:04:41:38		OUTDOORS1B^		[MG]
00:04:41:38 00:04:41:46
00:04:41:46 00:04:42:21
00:04:42:21 00:04:42:29
00:04:42:29 00:04:42:45						TO-BATH2*		baden-württemberg
00:04:42:45 00:04:43:05
00:04:43:05 00:04:43:23						HIS-HER1
00:04:43:23 00:04:43:41	But it’s about/
00:04:43:41 00:04:44:05		IN1*		im moment
00:04:44:05 00:04:44:12
00:04:44:12 00:04:44:25			TO-SPEAK1A*	auch sprechen	We should talk about Rhineland-Palatinate.
00:04:44:25 00:04:44:32
00:04:44:32 00:04:44:33		$GEST-OFF1^
00:04:44:33 00:04:44:42							WE1A*	wir
00:04:44:42 00:04:44:45
00:04:44:45 00:04:45:02							TO-SPEAK1A*	sprechen
00:04:45:02 00:04:45:09
00:04:45:09 00:04:45:17							TOGETHER3A^*	über
00:04:45:17 00:04:45:21
00:04:45:21 00:04:45:45							AREA1A^	rheinland-pfalz
00:04:45:45 00:04:46:19							AREA1A^	rheinland-pfalz	No, no. It’s fine. He’s talking about things in proximity.
00:04:46:19 00:04:46:37
00:04:46:37 00:04:50:28
00:04:50:28 00:04:50:36	It’s in proximity.
00:04:50:36 00:04:51:39		CLOSE-BY1A*		[MG]
00:04:51:39 00:04:52:00
00:04:52:00 00:04:52:10		$GEST-OFF1^		eben
00:04:52:10 00:04:52:22		$GEST-OFF1^		eben
00:04:52:22 00:04:52:28
00:04:52:28 00:04:53:03	So, in Heidelberg, there is a well-known castle.
00:04:53:03 00:04:53:40		TRADE-OR-NEGOTIATION1^		heidelberg
00:04:53:40 00:04:53:47
00:04:53:47 00:04:54:04		TO-HAVE-TO-OWN1*		hat
00:04:54:04 00:04:54:16
00:04:54:16 00:04:54:24		PRESENT-OR-HERE1*		da
00:04:54:24 00:04:54:33
00:04:54:33 00:04:54:37		$NUM-ONE-TO-TEN1A:1d		ein
00:04:54:37 00:04:55:35
00:04:55:35 00:04:55:44		WELL-KNOWN2^*		berühmt
00:04:55:44 00:04:56:21
00:04:56:21 00:04:56:32		LOCATION1A^		schloss
00:04:56:32 00:04:58:08
00:04:58:08 00:04:58:29	Due to the French/
00:04:58:29 00:04:58:39		THROUGH2B*		durch
00:04:58:39 00:04:59:02
00:04:59:02 00:04:59:32		FRANCE3A*		französisch
00:04:59:32 00:04:59:44
00:04:59:44 00:05:00:18		$GEST-I-DONT-KNOW1^*
00:05:00:18 00:05:00:35					The revolution.
00:05:00:35 00:05:00:47							$INIT-STRAIGHT1^*	revolution
00:05:00:47 00:05:01:38
00:05:01:38 00:05:01:40					No, the French war.
00:05:01:40 00:05:01:45						$GEST-NM-SHAKE-HEAD1^		nein
00:05:01:45 00:05:02:13		$CUED-SPEECH*		einfluss		$GEST-NM-SHAKE-HEAD1^		nein
00:05:02:13 00:05:02:28
00:05:02:28 00:05:02:40		TO-AFFECT1					$INIT-HAND-WRIST1^*	französisch krieg
00:05:02:40 00:05:02:49		TO-AFFECT1
00:05:02:49 00:05:03:21						WAR1A
00:05:03:21 00:05:03:25
00:05:03:25 00:05:03:34	Due to the French war.
00:05:03:34 00:05:03:37			$GEST^*
00:05:03:37 00:05:03:42
00:05:03:42 00:05:03:44		FRANCE3A*		französisch krieg
00:05:03:44 00:05:04:01		FRANCE3A*
00:05:04:01 00:05:04:11
00:05:04:11 00:05:04:17		WAR1A*
00:05:04:17 00:05:04:30
00:05:04:30 00:05:04:38		$GEST-OFF1^
00:05:04:38 00:05:05:45
00:05:05:45 00:05:06:08	Sadly, that’s why it’s still partly destroyed.
00:05:06:08 00:05:06:19		UNFORTUNATELY1A*		leider
00:05:06:19 00:05:06:26
00:05:06:26 00:05:06:31		NOW1		jetzt
00:05:06:31 00:05:06:40
00:05:06:40 00:05:06:47		STILL4B*		noch
00:05:06:47 00:05:07:15
00:05:07:15 00:05:07:27		PART1A*		zum teil
00:05:07:27 00:05:07:46
00:05:07:46 00:05:08:20		TO-DESTROY1		zerstört
00:05:08:20 00:05:08:26
00:05:08:26 00:05:08:32		$GEST-OFF1^
00:05:08:32 00:05:09:45
00:05:09:45 00:05:10:06	Nowadays, many vacationers and tourists come to visit it.
00:05:10:06 00:05:10:14		AND5*		und
00:05:10:14 00:05:10:26
00:05:10:26 00:05:10:35		THERE1*		da
00:05:10:35 00:05:10:44
00:05:10:44 00:05:11:03		TO-COME1		kommen
00:05:11:03 00:05:11:17
00:05:11:17 00:05:11:37		MUCH1C		viele
00:05:11:37 00:05:12:24
00:05:12:24 00:05:12:32		VACATION7		urlauber
00:05:12:32 00:05:12:44
00:05:12:44 00:05:13:11		DIFFERENT2^*
00:05:13:11 00:05:13:20
00:05:13:20 00:05:13:45		JOURNEY1C^*		touristen
00:05:13:45 00:05:14:41
00:05:14:41 00:05:15:04	There were especially many Chinese and Japanese people when I was there.
00:05:15:04 00:05:15:08		I1		ich
00:05:15:08 00:05:15:16		$ORAL^		war
00:05:15:16 00:05:15:24		ALSO3A*		auch
00:05:15:24 00:05:15:37
00:05:15:37 00:05:16:02		THERE1		dort
00:05:16:02 00:05:16:19
00:05:16:19 00:05:16:24		I1		ich
00:05:16:24 00:05:16:37
00:05:16:37 00:05:16:44		TO-SEE1		sehe
00:05:16:44 00:05:17:06
00:05:17:06 00:05:17:39		PARTICULARLY1A*		so besonders
00:05:17:39 00:05:18:08
00:05:18:08 00:05:18:19		MUCH4		viele
00:05:18:19 00:05:18:42
00:05:18:42 00:05:18:49		CHINA1*		chinesen
00:05:18:49 00:05:19:18
00:05:19:18 00:05:19:27		JAPAN2*		japaner
00:05:19:27 00:05:19:36
00:05:19:36 00:05:20:09		OUTWARDS1^*
00:05:20:09 00:05:21:22
00:05:21:22 00:05:21:37	But also other visitors from all over the world, of course.
00:05:21:37 00:05:21:45		AND5*		und
00:05:21:45 00:05:22:02		$ORAL^		auch
00:05:22:02 00:05:22:09
00:05:22:09 00:05:22:34		WHOLE1A*		ganze
00:05:22:34 00:05:22:39
00:05:22:39 00:05:22:46		$GEST-OFF1^		welt
00:05:22:46 00:05:23:05
00:05:23:05 00:05:23:12		TO-VISIT-OR-TO-ATTEND1B*		besuchen
00:05:23:12 00:05:23:15
00:05:23:15 00:05:23:20		$GEST-OFF1^
00:05:23:20 00:05:23:24
00:05:23:24 00:05:24:05		$GEST-NM-NOD-HEAD1^
00:05:24:05 00:05:25:11
00:05:25:11 00:05:25:29	Also close by, next to Heidelberg, is the Kaiserstuhl [low mountain range in the Upper Rhine Valley].
00:05:25:29 00:05:25:34		$LIST1:3of3d*		dann
00:05:25:34 00:05:25:41
00:05:25:41 00:05:26:16		$LIST1:3of3d
00:05:26:16 00:05:28:07
00:05:28:07 00:05:29:00		CLOSE-BY1B
00:05:29:00 00:05:29:24
00:05:29:24 00:05:29:49		$NAME		heidelberg
00:05:29:49 00:05:30:16
00:05:30:16 00:05:30:37		NEXT-TO1A*		nebenan
00:05:30:37 00:05:31:18
00:05:31:18 00:05:31:35		ABOVE1		oben
00:05:31:35 00:05:32:10
00:05:32:10 00:05:32:21		EMPEROR1B		kaiserstuhl
00:05:32:21 00:05:32:43
00:05:32:43 00:05:33:07		CHAIR1A
00:05:33:07 00:05:34:26
00:05:34:26 00:05:34:41	One has a glorious wide view over the surroundings.
00:05:34:41 00:05:35:12		TO-WORK2^		immer
00:05:35:12 00:05:35:23
00:05:35:23 00:05:35:28		GOOD1*		gut
00:05:35:28 00:05:35:42
00:05:35:42 00:05:36:22		IN-FRONT1^*		weiter
00:05:36:22 00:05:37:05
00:05:37:05 00:05:38:09		TO-SPREAD2^*		ausblick
00:05:38:09 00:05:38:24
00:05:38:24 00:05:38:41	One sees the Rhine directly in front, ah, no, the Neckar.
00:05:38:41 00:05:39:12		RHINE-RIVER1*		rhein
00:05:39:12 00:05:39:20
00:05:39:20 00:05:39:40		$GEST-NM-SHAKE-HEAD1^
00:05:39:40 00:05:40:15
00:05:40:15 00:05:40:33		NECKAR1*		neckar
00:05:40:33 00:05:42:03
00:05:42:03 00:05:42:14	With seven or eight different bridges.
00:05:42:14 00:05:42:17		$NUM-ONE-TO-TEN1A:7d*		sieben
00:05:42:17 00:05:42:23
00:05:42:23 00:05:42:29		$NUM-ONE-TO-TEN1A:8d*		acht
00:05:42:29 00:05:42:39
00:05:42:39 00:05:42:42		DISTINCT1*		versch{iedene}
00:05:42:42 00:05:43:06
00:05:43:06 00:05:44:14		BRIDGE1A*		brücke brücke
00:05:44:14 00:05:44:46
00:05:44:46 00:05:45:11					The Palatinate Forest itself is also well-known nationwide.
00:05:45:11 00:05:45:16							$INDEX2	und
00:05:45:16 00:05:45:34
00:05:45:34 00:05:45:43							ALSO1A	auch
00:05:45:43 00:05:45:48
00:05:45:48 00:05:46:06						$GEST-OFF1^
00:05:46:06 00:05:46:21
00:05:46:21 00:05:46:23							$INDEX1	??
00:05:46:23 00:05:46:26
00:05:46:26 00:05:46:44							I1^*
00:05:46:44 00:05:47:07
00:05:47:07 00:05:47:22							WELL-KNOWN4*	bekannt
00:05:47:22 00:05:47:31
00:05:47:31 00:05:48:01							ALSO3A*	ist auch
00:05:48:01 00:05:48:15
00:05:48:15 00:05:48:23						GENERALLY1C*		allgemein
00:05:48:23 00:05:48:48
00:05:48:48 00:05:49:36							REGION1	regionalweit
00:05:49:36 00:05:50:05
00:05:50:05 00:05:50:28						DISTANCE-OR-RANGE2
00:05:50:28 00:05:51:05
00:05:51:05 00:05:51:16							$INDEX1
00:05:51:16 00:05:51:21
00:05:51:21 00:05:51:41							AREA1A^	pfälzer wald
00:05:51:41 00:05:51:48
00:05:51:48 00:05:52:39							AREA1A^*
00:05:52:39 00:05:53:09
00:05:53:09 00:05:53:14					It’s a popular destination for hikers.
00:05:53:14 00:05:53:17							$INDEX1
00:05:53:17 00:05:53:30
00:05:53:30 00:05:53:43							POPULAR1	beliebt
00:05:53:43 00:05:54:16
00:05:54:16 00:05:54:24						TO-DRIVE1^*		ziel
00:05:54:24 00:05:55:02						AIM1*		ziel
00:05:55:02 00:05:55:21
00:05:55:21 00:05:55:27						$ORAL^		für
00:05:55:27 00:05:55:30
00:05:55:30 00:05:55:49							TO-HIKE4*	wanderfreunde
00:05:55:49 00:05:56:07
00:05:56:07 00:05:56:48						FRIEND4
00:05:56:48 00:05:57:11
00:05:57:11 00:05:57:26					The Palatinate hiking clubs often go hiking there.
00:05:57:26 00:05:57:34							PALATINATE-$CANDIDATE-FRA30^	pfälzer
00:05:57:34 00:05:57:45
00:05:57:45 00:05:58:09						TO-HIKE4*		wanderverein
00:05:58:09 00:05:58:20
00:05:58:20 00:05:59:04							AREA1A^
00:05:59:04 00:05:59:14
00:05:59:14 00:05:59:23						$LIST1:2of2d		und
00:05:59:23 00:05:59:31
00:05:59:31 00:05:59:38						$GEST-DECLINE1^*		oft
00:05:59:38 00:05:59:48
00:05:59:48 00:06:00:20						TO-DRIVE1^*		[MG]
00:06:00:20 00:06:00:28
00:06:00:28 00:06:00:49						TO-HIKE4*		[MG]
00:06:00:49 00:06:01:13
00:06:01:13 00:06:01:16					The most well-known spot is Johanniskreuz [tiny hamlet in the middle of the forest].
00:06:01:16 00:06:01:29							WELL-KNOWN4*	bekannt
00:06:01:29 00:06:01:47
00:06:01:47 00:06:02:07							$ALPHA1:J	johanniskreuz
00:06:02:07 00:06:02:19
00:06:02:19 00:06:02:36							CROSS2A
00:06:02:36 00:06:02:43
00:06:02:43 00:06:02:47						$GEST-OFF1^
00:06:02:47 00:06:03:26
00:06:03:26 00:06:03:41					Sometimes, it has sad reputation, though.
00:06:03:41 00:06:03:46							$INDEX1
00:06:03:46 00:06:04:04
00:06:04:04 00:06:04:11						ALSO1A		auch
00:06:04:11 00:06:04:41
00:06:04:41 00:06:05:12						UNFORTUNATELY1A*		leider
00:06:05:12 00:06:05:22
00:06:05:22 00:06:05:29							ALSO3A*	auch
00:06:05:29 00:06:06:03
00:06:06:03 00:06:06:11						SOMETIMES1*		manchmal
00:06:06:11 00:06:06:24
00:06:06:24 00:06:06:38							SAD6B	traurigen
00:06:06:38 00:06:07:02
00:06:07:02 00:06:07:15						TO-SHOUT1A*		ruf
00:06:07:15 00:06:07:38
00:06:07:38 00:06:08:05					A lot of motorcyclists go crazy and drive way too fast on that route.
00:06:08:05 00:06:08:13							$GEST-DECLINE1^*
00:06:08:13 00:06:08:15
00:06:08:15 00:06:08:26							THROUGH2A*	durch
00:06:08:26 00:06:08:42
00:06:08:42 00:06:09:08						MOTORCYCLE1B		motorrad
00:06:09:08 00:06:09:39
00:06:09:39 00:06:10:15						$PROD*		[MG]
00:06:10:15 00:06:10:31
00:06:10:31 00:06:10:39							MUCH9	viele
00:06:10:39 00:06:11:13
00:06:11:13 00:06:11:37							CRAZY1A	[MG]
00:06:11:37 00:06:11:49
00:06:11:49 00:06:12:08							FAST3A	zu schnell
00:06:12:08 00:06:12:20
00:06:12:20 00:06:12:43						$PROD*
00:06:12:43 00:06:13:06
00:06:13:06 00:06:13:13					Because of that, many end up having accidents. On average, ten people die there yearly.
00:06:13:13 00:06:13:21						IT-HAPPENS3*		passiert
00:06:13:21 00:06:13:30
00:06:13:30 00:06:13:39							$GEST-DECLINE1^*	oft
00:06:13:39 00:06:13:48
00:06:13:48 00:06:14:24						TO-LIST1C^*	DEATH2*	tote
00:06:14:24 00:06:14:41
00:06:14:41 00:06:15:07							YEAR1B	im jahr
00:06:15:07 00:06:15:16
00:06:15:16 00:06:15:24						AVERAGE1C*		durchschnitt
00:06:15:24 00:06:15:41
00:06:15:41 00:06:15:46							ATTENTION1A^
00:06:15:46 00:06:16:04
00:06:16:04 00:06:16:11						$NUM-ONE-TO-TEN1B:10		zehn
00:06:16:11 00:06:16:23
00:06:16:23 00:06:16:42							DEATH2*	tote
00:06:16:42 00:06:17:27
00:06:17:27 00:06:17:38					Oh well.
00:06:17:38 00:06:17:43						$GEST-OFF1^
00:06:17:43 00:06:18:13
00:06:18:13 00:06:18:19
00:06:18:19 00:06:18:35	In the Palatinate Forest, there are also lots of fortresses.
00:06:18:35 00:06:18:48		AND5*		und
00:06:18:48 00:06:19:12
00:06:19:12 00:06:19:21		IN1		im
00:06:19:21 00:06:19:31
00:06:19:31 00:06:19:44		AREA1A^*		pfälzer wald
00:06:19:44 00:06:20:04
00:06:20:04 00:06:20:14		$INDEX1
00:06:20:14 00:06:20:27
00:06:20:27 00:06:20:36		TO-HAVE-TO-OWN1*		hat
00:06:20:36 00:06:20:46
00:06:20:46 00:06:21:01		THERE-IS3*		gibt
00:06:21:01 00:06:21:07
00:06:21:07 00:06:21:16		ALSO3A*		auch
00:06:21:16 00:06:21:29
00:06:21:29 00:06:21:42		MUCH1C		viele
00:06:21:42 00:06:22:19
00:06:22:19 00:06:22:36		BEAUTIFUL3*		schöne
00:06:22:36 00:06:24:04
00:06:24:04 00:06:25:32		FORTRESS2*		burg burg burg burg
00:06:25:32 00:06:26:12
00:06:26:12 00:06:26:31	One that’s especially big is the Hambach Castle.
00:06:26:31 00:06:26:39			PARTICULARLY1A*	besonders
00:06:26:39 00:06:27:11
00:06:27:11 00:06:27:23		BIG3B		große
00:06:27:23 00:06:27:29
00:06:27:29 00:06:27:37		FORTRESS2*		burg
00:06:27:37 00:06:28:06
00:06:28:06 00:06:28:18		$CUED-SPEECH*		ha{mbach}
00:06:28:18 00:06:28:29
00:06:28:29 00:06:29:01		$CUED-SPEECH*		hambacher
00:06:29:01 00:06:29:18
00:06:29:18 00:06:29:30		LOCATION1B^		schloss
00:06:29:30 00:06:30:00
00:06:30:00 00:06:30:08					I like to visit my sister from time to time, who moved after getting married.
00:06:30:08 00:06:30:19						$ORAL^		und
00:06:30:19 00:06:30:21
00:06:30:21 00:06:30:34							I1*	ich
00:06:30:34 00:06:30:43
00:06:30:43 00:06:31:02							ALLOWED1	darf
00:06:31:02 00:06:31:18
00:06:31:18 00:06:31:28						TO-STEER-STEERING-WHEEL1^		fahr
00:06:31:28 00:06:31:37
00:06:31:37 00:06:31:41							GLADLY1	auch gern
00:06:31:41 00:06:32:05
00:06:32:05 00:06:32:08							$INDEX1
00:06:32:08 00:06:32:12
00:06:32:12 00:06:32:47						APPROXIMATELY2^		ab und zu
00:06:32:47 00:06:33:27
00:06:33:27 00:06:33:30							MY1	weil
00:06:33:30 00:06:33:42
00:06:33:42 00:06:34:01							GIRL-$CANDIDATE-FRA36^	meine schwester
00:06:34:01 00:06:34:11
00:06:34:11 00:06:34:15							$INDEX1
00:06:34:15 00:06:34:23
00:06:34:23 00:06:34:40							TO-THERE1^	wohnt dort
00:06:34:40 00:06:35:03
00:06:35:03 00:06:35:11						$ORAL^		durch
00:06:35:11 00:06:35:13
00:06:35:13 00:06:35:28						TO-MARRY4		heiraten
00:06:35:28 00:06:36:24
00:06:36:24 00:06:36:38					It’s a one or two hour drive, through Koblenz.
00:06:36:38 00:06:37:06						FROM-TO1*		[MG]
00:06:37:06 00:06:37:22
00:06:37:22 00:06:37:28						$GEST-OFF1^
00:06:37:28 00:06:37:46
00:06:37:46 00:06:38:03							TO-NEED1*	brauch
00:06:38:03 00:06:38:22
00:06:38:22 00:06:38:39							HOUR2B*	eine stunde
00:06:38:39 00:06:39:07
00:06:39:07 00:06:39:26						FROM-TO1*
00:06:39:26 00:06:39:35
00:06:39:35 00:06:39:40						$GEST-DECLINE1^		bis
00:06:39:40 00:06:39:46
00:06:39:46 00:06:40:05							HOUR2B*	zwei stunden
00:06:40:05 00:06:40:19
00:06:40:19 00:06:40:39						FROM-TO1*
00:06:40:39 00:06:41:11						$ORAL^		fahrt
00:06:41:11 00:06:41:19
00:06:41:19 00:06:41:28							AFTER-TIME1	nach
00:06:41:28 00:06:41:34
00:06:41:34 00:06:42:01							$ALPHA1:K	koblenz
00:06:42:01 00:06:42:17
00:06:42:17 00:06:43:00							OVER-OR-ABOUT1*	über
00:06:43:00 00:06:43:14
00:06:43:14 00:06:43:27					Then, one ends up in the famous Eifel.
00:06:43:27 00:06:43:37							WELL-KNOWN2^*	berühmtes
00:06:43:37 00:06:44:00
00:06:44:00 00:06:44:40							TERRITORY1*	gebiet
00:06:44:40 00:06:45:02
00:06:45:02 00:06:45:23							$ALPHA1:E-L	eifel
00:06:45:23 00:06:45:33
00:06:45:33 00:06:46:07							AREA1A
00:06:46:07 00:06:46:20
00:06:46:20 00:06:46:27					The Eifel is a well-known volcanic region.
00:06:46:27 00:06:46:32							$INDEX1
00:06:46:32 00:06:46:42
00:06:46:42 00:06:47:01							AREA1A	eifel
00:06:47:01 00:06:47:08
00:06:47:08 00:06:47:14							$INDEX1
00:06:47:14 00:06:47:26
00:06:47:26 00:06:47:39							WELL-KNOWN2*	bekannt
00:06:47:39 00:06:47:46
00:06:47:46 00:06:47:49							$INDEX1
00:06:47:49 00:06:48:13
00:06:48:13 00:06:48:30							SOURCE1A^*	vulkangebiet
00:06:48:30 00:06:48:37
00:06:48:37 00:06:49:26							TERRITORY1
00:06:49:26 00:06:49:27
00:06:49:27 00:06:49:45					Of course, nowadays, the volcano is dormant, but it’s still there, seething beneath the surface.
00:06:49:45 00:06:50:01							ALSO3A*	auch
00:06:50:01 00:06:50:04
00:06:50:04 00:06:50:12							TODAY1	heute
00:06:50:12 00:06:50:22
00:06:50:22 00:06:50:28						STILL1A*		noch
00:06:50:28 00:06:50:37
00:06:50:37 00:06:51:02							AREA1A^	vulkane
00:06:51:02 00:06:51:11
00:06:51:11 00:06:51:18							ONCE-MORE1A^
00:06:51:18 00:06:51:36
00:06:51:36 00:06:51:43							TO-SLEEP1A*	schlafen
00:06:51:43 00:06:52:07
00:06:52:07 00:06:52:16							$INDEX1
00:06:52:16 00:06:52:19
00:06:52:19 00:06:52:31						$ORAL^		aber
00:06:52:31 00:06:52:35
00:06:52:35 00:06:52:42							DOWN1*	unten
00:06:52:42 00:06:53:07
00:06:53:07 00:06:53:28						STILL1A*		noch
00:06:53:28 00:06:53:38
00:06:53:38 00:06:53:48						PRESENT-OR-HERE1*		da
00:06:53:48 00:06:54:14
00:06:54:14 00:06:54:39						TO-BUBBLE-OR-SEETHE2*		[MG]
00:06:54:39 00:06:55:03
00:06:55:03 00:06:55:11						SILENCE4		ruhe
00:06:55:11 00:06:55:18
00:06:55:18 00:06:55:48						OF-COURSE1B*		selbstverständlich
00:06:55:48 00:06:56:03
00:06:56:03 00:06:56:10						$GEST-OFF1^
00:06:56:10 00:06:57:17						$$EXTRA-LING-ACT^
00:06:57:17 00:06:57:32					Scientists have confirmed that it could erupt again.
00:06:57:32 00:06:57:36							$ALPHA1:W	wissenschaft
00:06:57:36 00:06:58:04
00:06:58:04 00:06:58:18						ALREADY1A*		schon
00:06:58:18 00:06:58:24
00:06:58:24 00:06:58:29							ONCE1A	einmal
00:06:58:29 00:06:58:36
00:06:58:36 00:06:59:02							TO-SAY3*	gesagt
00:06:59:02 00:06:59:13
00:06:59:13 00:06:59:21							$INDEX1
00:06:59:21 00:06:59:35
00:06:59:35 00:06:59:42							SOURCE1A^*	vulkangebiet
00:06:59:42 00:07:00:02
00:07:00:02 00:07:00:14							AREA1A^
00:07:00:14 00:07:00:28
00:07:00:28 00:07:00:42						CAN2A		könnte
00:07:00:42 00:07:01:10
00:07:01:10 00:07:01:21						WHAT1A^*		wieder
00:07:01:21 00:07:01:39
00:07:01:39 00:07:02:06						EXPLOSION2^*		ausbrechen
00:07:02:06 00:07:02:37
00:07:02:37 00:07:03:01					Just recently they found out that there is a leakage of gas again.
00:07:03:01 00:07:03:07							RECENTLY1B*
00:07:03:07 00:07:03:24
00:07:03:24 00:07:03:36						STAMP1^*		festgestellt
00:07:03:36 00:07:03:47
00:07:03:47 00:07:04:03							$INDEX1
00:07:04:03 00:07:04:25
00:07:04:25 00:07:04:35						TO-COME1*		kommt
00:07:04:35 00:07:04:48
00:07:04:48 00:07:05:49						SOURCE1B^*		gas
00:07:05:49 00:07:06:27
00:07:06:27 00:07:06:41						NO3B^*
00:07:06:41 00:07:07:15
00:07:07:15 00:07:10:42
00:07:10:42 00:07:11:04	Here, in the Palatinate, there are incredibly many events going on between July and November.
00:07:11:04 00:07:11:12		OFF2^		und
00:07:11:12 00:07:11:25
00:07:11:25 00:07:11:46		HERE1*		hier
00:07:11:46 00:07:12:05
00:07:12:05 00:07:12:39		AREA1A^		pfalz
00:07:12:39 00:07:13:30
00:07:13:30 00:07:13:45		THERE-IS3*		gibt
00:07:13:45 00:07:13:48
00:07:13:48 00:07:14:09		NORTH1B^		auch
00:07:14:09 00:07:15:22
00:07:15:22 00:07:16:04		PARTICULARLY5		besonders
00:07:16:04 00:07:16:21
00:07:16:21 00:07:16:31		OFF2		ab
00:07:16:31 00:07:16:39
00:07:16:39 00:07:16:46		JULY8		juli
00:07:16:46 00:07:17:25
00:07:17:25 00:07:18:10		PERIOD1A^		bis
00:07:18:10 00:07:18:14
00:07:18:14 00:07:18:49		PERIOD1A^*		november
00:07:18:49 00:07:19:28
00:07:19:28 00:07:20:02		POSSIBLE1*		unmöglich
00:07:20:02 00:07:20:20
00:07:20:20 00:07:20:33		MUCH4*		viel
00:07:20:33 00:07:20:44
00:07:20:44 00:07:21:43		ROW1^*		gibt gibt
00:07:21:43 00:07:21:48
00:07:21:48 00:07:22:03	Court festivals, vineyard festival as well as others.
00:07:22:03 00:07:22:10		LOCATION1A^		dort
00:07:22:10 00:07:22:16
00:07:22:16 00:07:22:28		AN1A		ein
00:07:22:28 00:07:22:38
00:07:22:38 00:07:23:06		TO-MILK1D^*		hoffest
00:07:23:06 00:07:23:07
00:07:23:07 00:07:23:16		CELEBRATION1A
00:07:23:16 00:07:23:32
00:07:23:32 00:07:23:43		$LIST1:2of2d
00:07:23:43 00:07:24:04
00:07:24:04 00:07:24:21		TO-HAVE-TO-OWN1*		hat
00:07:24:21 00:07:24:33
00:07:24:33 00:07:24:42		WINE2*		weingutfest
00:07:24:42 00:07:25:01
00:07:25:01 00:07:25:09		MANOR1*
00:07:25:09 00:07:25:21
00:07:25:21 00:07:25:35		CELEBRATION1A
00:07:25:35 00:07:26:12
00:07:26:12 00:07:26:47		TO-LIST1A*		noch mehr
00:07:26:47 00:07:27:09
00:07:27:09 00:07:27:23		$GEST-OFF1^
00:07:27:23 00:07:28:30
00:07:28:30 00:07:28:41					I remembered something else.
00:07:28:41 00:07:29:00							ATTENTION1A^*
00:07:29:00 00:07:29:17
00:07:29:17 00:07:29:43					Italians who live here and even those living in Italy say the following:
00:07:29:43 00:07:29:47							$INDEX1
00:07:29:47 00:07:30:11
00:07:30:11 00:07:30:22							$INDEX1
00:07:30:22 00:07:31:12
00:07:31:12 00:07:31:28							$GEST^*	italiener
00:07:31:28 00:07:31:38
00:07:31:38 00:07:33:03							$INDEX1
00:07:33:03 00:07:33:14
00:07:33:14 00:07:33:23							ALSO3A	auch
00:07:33:23 00:07:33:29
00:07:33:29 00:07:33:34							IN1	in
00:07:33:34 00:07:33:46
00:07:33:46 00:07:34:01							$INDEX1
00:07:34:01 00:07:34:08
00:07:34:08 00:07:34:31							AREA1A^*	italien
00:07:34:31 00:07:35:24
00:07:35:24 00:07:35:29							AND5*	und
00:07:35:29 00:07:35:38
00:07:35:38 00:07:36:07							$GEST^*	italiener
00:07:36:07 00:07:36:32
00:07:36:32 00:07:36:42						APARTMENT5		wohnen
00:07:36:42 00:07:36:49
00:07:36:49 00:07:37:06							HERE1
00:07:37:06 00:07:37:19
00:07:37:19 00:07:37:41							AREA2A*	regional
00:07:37:41 00:07:38:19
00:07:38:19 00:07:38:33							TO-SAY3*	sagen
00:07:38:33 00:07:39:12
00:07:39:12 00:07:39:17					the Palatinate/		HERE1
00:07:39:17 00:07:39:25
00:07:39:25 00:07:39:34							I1^*
00:07:39:34 00:07:39:47
00:07:39:47 00:07:40:43						AREA1D^*		pfalz
00:07:40:43 00:07:41:02					Or especially the Rhine region/
00:07:41:02 00:07:41:12							MAINLY1B*	vor allem
00:07:41:12 00:07:41:24
00:07:41:24 00:07:41:32							RHINE-RIVER1*	rheingebiet
00:07:41:32 00:07:41:43
00:07:41:43 00:07:42:29							TERRITORY1*
00:07:42:29 00:07:43:09
00:07:43:09 00:07:43:19					That’s the “German Tuscany.”		$INDEX1*	ist
00:07:43:19 00:07:43:40
00:07:43:40 00:07:44:07							GERMAN1*	deutsche toskana
00:07:44:07 00:07:44:26
00:07:44:26 00:07:46:02							$ALPHA1:T-O-S-K-A
00:07:46:02 00:07:46:27
00:07:46:27 00:07:47:26						$GEST-NM-NOD-HEAD1^
00:07:47:26 00:07:47:36
00:07:47:36 00:07:47:45					German Tuscany.
00:07:47:45 00:07:48:02							GERMAN1*	deutsche toskana
00:07:48:02 00:07:48:18
00:07:48:18 00:07:48:39							$ALPHA1:K-A
00:07:48:39 00:07:49:36
00:07:49:36 00:07:50:07					Our region especially is very lucky.
00:07:50:07 00:07:50:15							ALSO3A*	auch
00:07:50:15 00:07:50:24
00:07:50:24 00:07:50:33							AREA1A^
00:07:50:33 00:07:50:39
00:07:50:39 00:07:50:43							$INDEX1
00:07:50:43 00:07:51:09
00:07:51:09 00:07:51:16							MAINLY1B	vor allem
00:07:51:16 00:07:51:28
00:07:51:28 00:07:51:43							I1*
00:07:51:43 00:07:51:49
00:07:51:49 00:07:52:49							REGION1*	unser region
00:07:52:49 00:07:53:36
00:07:53:36 00:07:53:43						LUCK1*
00:07:53:43 00:07:53:48
00:07:53:48 00:07:54:04							ALSO3A*	auch
00:07:54:04 00:07:54:14
00:07:54:14 00:07:54:24							OFTEN1A*	oft
00:07:54:24 00:07:54:35
00:07:54:35 00:07:54:40							MUCH1B*	viel
00:07:54:40 00:07:55:05
00:07:55:05 00:07:55:22						LUCK1		glück
00:07:55:22 00:07:55:36
00:07:55:36 00:07:55:49					Because the weather is usually quite good, summers are often very warm.
00:07:55:49 00:07:56:07							$INDEX1
00:07:56:07 00:07:56:16
00:07:56:16 00:07:56:22						GOOD1^*		wetter
00:07:56:22 00:07:56:36
00:07:56:36 00:07:56:42							OFTEN1A*	oft
00:07:56:42 00:07:56:47
00:07:56:47 00:07:57:17						AVERAGE1C		durchschnitt
00:07:57:17 00:07:57:31
00:07:57:31 00:07:58:02						GOOD1*		sehr gut
00:07:58:02 00:07:58:18
00:07:58:18 00:07:58:26							SUMMER14*	sommer
00:07:58:26 00:07:58:39
00:07:58:39 00:07:58:47							OFTEN1A*	oft
00:07:58:47 00:07:59:08
00:07:59:08 00:07:59:17						VERY2*		sehr
00:07:59:17 00:07:59:25
00:07:59:25 00:07:59:47						GOOD1^*		warm
00:07:59:47 00:08:00:37
00:08:00:37 00:08:01:01					It really is very warm.
00:08:01:01 00:08:01:15							WARM2B*	warm
00:08:01:15 00:08:01:24
00:08:01:24 00:08:01:34						$GEST-OFF1^
00:08:01:34 00:08:01:43
00:08:01:43 00:08:02:10					And we also don’t often get storms. They mostly pass us by.
00:08:02:10 00:08:02:24							AND1	und
00:08:02:24 00:08:02:49
00:08:02:49 00:08:03:05						$GEST-I-DONT-KNOW1^
00:08:03:05 00:08:03:19
00:08:03:19 00:08:03:35						EXAMPLE2*		beispiel
00:08:03:35 00:08:04:03
00:08:04:03 00:08:04:09						ENVIRONMENT1*		umweltkatastrophe
00:08:04:09 00:08:04:13
00:08:04:13 00:08:04:33							TO-SPIN1B^*
00:08:04:33 00:08:05:19
00:08:05:19 00:08:05:39						STORM1*		sturm
00:08:05:39 00:08:06:35
00:08:06:35 00:08:07:11							OFTEN1A*	oft oft
00:08:07:11 00:08:07:18
00:08:07:18 00:08:07:24							I1	unser
00:08:07:24 00:08:07:32
00:08:07:32 00:08:08:09							TERRITORY1*	gebiet
00:08:08:09 00:08:08:36
00:08:08:36 00:08:10:00						TO-PASS-STH1*		vorbei vorbei vorbei
00:08:10:00 00:08:11:39
00:08:11:39 00:08:11:45						$GEST-OFF1^
00:08:11:45 00:08:12:11
00:08:12:11 00:08:12:32
00:08:12:32 00:08:12:45	That’s true; there are very few storms. On average, only twenty per cent of destruction happens here.
00:08:12:45 00:08:13:01		RIGHT-OR-AGREED1A*		stimmt
00:08:13:01 00:08:13:13
00:08:13:13 00:08:13:24		RARELY2*		selten
00:08:13:24 00:08:13:32
00:08:13:32 00:08:13:41		YOU1*
00:08:13:41 00:08:13:48
00:08:13:48 00:08:14:04		TO-SAY1		sag
00:08:14:04 00:08:14:20
00:08:14:20 00:08:14:35		WIND2*		wind
00:08:14:35 00:08:14:45
00:08:14:45 00:08:15:05		STORM1*		sturm
00:08:15:05 00:08:15:12
00:08:15:12 00:08:15:24		PAST-OR-BACK-THEN1		früher
00:08:15:24 00:08:15:28
00:08:15:28 00:08:15:35		ALWAYS5A		immer
00:08:15:35 00:08:15:41
00:08:15:41 00:08:16:01		RIGHT-OR-AGREED1A*		stimmt
00:08:16:01 00:08:16:14
00:08:16:14 00:08:16:24		RARELY2*		selten
00:08:16:24 00:08:16:33
00:08:16:33 00:08:16:35		TO-SAY1^*
00:08:16:35 00:08:16:41
00:08:16:41 00:08:17:01		APPROXIMATELY2*		unge{fähr}
00:08:17:01 00:08:17:06
00:08:17:06 00:08:17:16		$NUM-TENS1:2d		zwanzig
00:08:17:16 00:08:17:20
00:08:17:20 00:08:17:30		TO-TURN1A^*		prozent
00:08:17:30 00:08:17:43
00:08:17:43 00:08:18:04		APPROXIMATELY2
00:08:18:04 00:08:18:20
00:08:18:20 00:08:19:09		TO-DESTROY1		zerstört
00:08:19:09 00:08:19:18
00:08:19:18 00:08:19:26	Other than that, it’s mostly good.
00:08:19:26 00:08:19:34		MORE1*		mehr
00:08:19:34 00:08:19:39
00:08:19:39 00:08:19:49		GOOD1*		gut
00:08:19:49 00:08:20:05
00:08:20:05 00:08:20:08		$GEST-OFF1^
00:08:20:08 00:08:20:24
00:08:20:24 00:08:21:17
00:08:21:17 00:08:21:32	I mean the grapes.
00:08:21:32 00:08:21:46		TO-PICK3^*		trauben
00:08:21:46 00:08:22:01
00:08:22:01 00:08:22:06			GOOD1*
00:08:22:06 00:08:22:16
00:08:22:16 00:08:25:01
00:08:25:01 00:08:28:42									You can keep talking, I need to leave for a bit.
00:08:28:42 00:08:31:26
00:08:31:26 00:08:31:40					This is our home. We’re typical people from the Palatinate.
00:08:31:40 00:08:31:48							ALSO3A*
00:08:31:48 00:08:32:22
00:08:32:22 00:08:33:04							WE3*	für uns
00:08:33:04 00:08:33:17
00:08:33:17 00:08:33:25						HOMELAND4		heimat
00:08:33:25 00:08:33:31
00:08:33:31 00:08:33:37							WE3
00:08:33:37 00:08:34:18
00:08:34:18 00:08:34:33						TYPICAL2*		typisch
00:08:34:33 00:08:34:41
00:08:34:41 00:08:34:45							TO-BELONG1^*
00:08:34:45 00:08:35:04
00:08:35:04 00:08:36:08							AREA1A^	pfälzer
00:08:36:08 00:08:36:49
00:08:36:49 00:08:37:14					My mother was born in Thuringia, but I was born here.
00:08:37:14 00:08:37:24							ALSO1A*	auch
00:08:37:24 00:08:37:37
00:08:37:37 00:08:37:45							BEEN1	gewesen
00:08:37:45 00:08:38:07
00:08:38:07 00:08:38:11							MY1	meine
00:08:38:11 00:08:38:23
00:08:38:23 00:08:38:37							MOTHER2	mutter
00:08:38:37 00:08:39:16
00:08:39:16 00:08:39:25							$INDEX1	in
00:08:39:25 00:08:39:35
00:08:39:35 00:08:39:38							$ALPHA1:T	thüringen
00:08:39:38 00:08:40:00
00:08:40:00 00:08:40:06							$CUED-SPEECH*
00:08:40:06 00:08:40:22
00:08:40:22 00:08:40:25						$INDEX1
00:08:40:25 00:08:40:36
00:08:40:36 00:08:40:44						BIRTH1B		geboren
00:08:40:44 00:08:41:05
00:08:41:05 00:08:42:00						DANGEROUS1A^
00:08:42:00 00:08:42:27
00:08:42:27 00:08:42:35							BUT1*	aber
00:08:42:35 00:08:42:41
00:08:42:41 00:08:43:03							I1	ich
00:08:43:03 00:08:43:15
00:08:43:15 00:08:43:19							IN1	in
00:08:43:19 00:08:43:25
00:08:43:25 00:08:43:36						$ORAL^		pfalz
00:08:43:36 00:08:43:39
00:08:43:39 00:08:44:32						BIRTH1B		geboren
00:08:44:32 00:08:44:47
00:08:44:47 00:08:45:09					My blood is two-thirds Palatinate.
00:08:45:09 00:08:45:15							I1	und
00:08:45:15 00:08:45:25
00:08:45:25 00:08:45:29							MY1	mein
00:08:45:29 00:08:45:49
00:08:45:49 00:08:46:28						TO-BE-IN-ONES-BLOOD1A^*		blut
00:08:46:28 00:08:47:11
00:08:47:11 00:08:47:15							IS1	ist
00:08:47:15 00:08:47:26
00:08:47:26 00:08:47:32							$NUM-NUMERATOR1:2d	zwei drittel
00:08:47:32 00:08:47:39
00:08:47:39 00:08:47:48						$NUM-DENOMINATOR1:3d*
00:08:47:48 00:08:48:21
00:08:48:21 00:08:48:49						TO-BE-IN-ONES-BLOOD1A^*		pfälzer
00:08:48:49 00:08:49:06
00:08:49:06 00:08:49:22					And one third Thuringian.
00:08:49:22 00:08:49:32							$NUM-NUMERATOR1:1d	ein drittel
00:08:49:32 00:08:49:45
00:08:49:45 00:08:50:07							$NUM-DENOMINATOR1:3d*
00:08:50:07 00:08:50:40
00:08:50:40 00:08:51:04							$ALPHA1:T	thüringer
00:08:51:04 00:08:51:24
00:08:51:24 00:08:51:44
00:08:51:44 00:08:52:08	Thuringia?
00:08:52:08 00:08:52:14			$CUED-SPEECH*	thüringen
00:08:52:14 00:08:52:26
00:08:52:26 00:08:52:34
00:08:52:34 00:08:53:00					Yes, Thuringia.
00:08:53:00 00:08:53:03							$ALPHA1:T	thüring{en}
00:08:53:03 00:08:53:12
00:08:53:12 00:08:53:32							AREA1A^
00:08:53:32 00:08:53:39
00:08:53:39 00:08:53:42							$INDEX1
00:08:53:42 00:08:54:05	Thuringia.
00:08:54:05 00:08:54:13			$CUED-SPEECH*	thüringen
00:08:54:13 00:08:54:15			$CUED-SPEECH*
00:08:54:15 00:08:54:17
00:08:54:17 00:08:54:44			$INDEX1
00:08:54:44 00:08:55:23
00:08:55:23 00:08:55:36					In the east.
00:08:55:36 00:08:55:45						EAST1A*		ost
00:08:55:45 00:08:56:08
00:08:56:08 00:08:57:01
00:08:57:01 00:08:57:07	You?
00:08:57:07 00:08:57:21			YOU1*	du
00:08:57:21 00:08:57:34
00:08:57:34 00:08:57:47					Yes.
00:08:57:47 00:08:59:29						$GEST-NM-NOD-HEAD1^
00:08:59:29 00:09:00:13
00:09:00:13 00:09:00:31						$GEST-NM^
00:09:00:31 00:09:01:46
00:09:01:46 00:09:11:39
00:09:11:39 00:09:39:34									You’ve already talked a bit about regional specialties, I mean, about Helmut Kohl and Bush having food at that famous restaurant. Are there any other famous restaurants in your region?
00:09:39:34 00:09:39:47					Not really.
00:09:39:47 00:09:40:38						$GEST-NM-SHAKE-HEAD1^		nein
00:09:40:38 00:09:40:41
00:09:40:41 00:09:41:24					What’s typical in the Palatinate region are small mediterranean restaurants in various places.
00:09:41:24 00:09:41:41							AREA1A^	pfalz
00:09:41:41 00:09:42:17
00:09:42:17 00:09:42:25							MOST1B	meist
00:09:42:25 00:09:42:46
00:09:42:46 00:09:43:05							CAN1^	typisch
00:09:43:05 00:09:43:26
00:09:43:26 00:09:44:22						LIKE-THIS3*		so
00:09:44:22 00:09:45:00
00:09:45:00 00:09:45:09							ALSO3A	auch
00:09:45:09 00:09:46:18
00:09:46:18 00:09:46:24						PART1B*		teil
00:09:46:24 00:09:46:38
00:09:46:38 00:09:46:41						SMALL9*		kleine
00:09:46:41 00:09:47:16
00:09:47:16 00:09:47:34							$ALPHA1:M*	mediterran
00:09:47:34 00:09:48:07
00:09:48:07 00:09:48:13						TO-SWARM1^*	RESTAURANT1*
00:09:48:13 00:09:48:14
00:09:48:14 00:09:48:38						TO-SWARM1^*		restaurant
00:09:48:38 00:09:49:24						LOCATION1A^*		restaurant
00:09:49:24 00:09:50:03
00:09:50:03 00:09:50:09					There are many Italian, Greek and Turkish restaurants.
00:09:50:09 00:09:50:15							MAINLY1B	vor allem
00:09:50:15 00:09:51:05
00:09:51:05 00:09:51:10						$INDEX1*
00:09:51:10 00:09:51:19
00:09:51:19 00:09:51:23						THERE-IS3*		gibt
00:09:51:23 00:09:51:32
00:09:51:32 00:09:51:44							MUCH1C*	viele
00:09:51:44 00:09:51:46
00:09:51:46 00:09:52:19							$GEST^*	italiener
00:09:52:19 00:09:52:36
00:09:52:36 00:09:52:46						LOCATION1A^*
00:09:52:46 00:09:53:22							AREA1A^
00:09:53:22 00:09:53:29
00:09:53:29 00:09:53:33						$LIST1:1of1
00:09:53:33 00:09:54:22
00:09:54:22 00:09:54:42						GREECE1*		griechen
00:09:54:42 00:09:55:15
00:09:55:15 00:09:56:09							AREA1A^
00:09:56:09 00:09:56:33
00:09:56:33 00:09:56:38							AND5	und
00:09:56:38 00:09:56:44
00:09:56:44 00:09:57:00							MUCH1C	viele
00:09:57:00 00:09:57:11
00:09:57:11 00:09:57:16							TURKEY1*	türken
00:09:57:16 00:09:57:33
00:09:57:33 00:09:58:14							AREA1A^
00:09:58:14 00:09:59:15
00:09:59:15 00:09:59:31					But there are only few famous regional specialties.
00:09:59:31 00:09:59:39							$GEST-OFF1^*	aber
00:09:59:39 00:10:00:30
00:10:00:30 00:10:00:43						FAMOUS1B*		berühmte
00:10:00:43 00:10:01:16
00:10:01:16 00:10:01:42							LOCATION1C*	orte
00:10:01:42 00:10:02:12
00:10:02:12 00:10:02:18							TO-EAT-OR-FOOD2*	essen
00:10:02:18 00:10:02:35
00:10:02:35 00:10:02:48						$GEST-I-DONT-KNOW1^		[MG]
00:10:02:48 00:10:02:49
00:10:02:49 00:10:03:40					Only the cities themselves.
00:10:03:40 00:10:04:06							ONLY4*	nur
00:10:04:06 00:10:04:44
00:10:04:44 00:10:06:23						CITY2*		stadt stadt stadt
00:10:06:23 00:10:06:29
00:10:06:29 00:10:06:43					Many know them by name, like Worms with the Nibelungen legend that I mentioned before.
00:10:06:43 00:10:07:07						BECAUSE-OF1		wegen
00:10:07:07 00:10:07:39
00:10:07:39 00:10:08:00							WELL-KNOWN2^*	berühmt
00:10:08:00 00:10:08:21
00:10:08:21 00:10:08:34						QUOTATION-MARKS2^		name
00:10:08:34 00:10:09:06
00:10:09:06 00:10:09:17						$LIST1:1of1d
00:10:09:17 00:10:09:36
00:10:09:36 00:10:09:46						DIRECTION1^*		worms
00:10:09:46 00:10:10:09
00:10:10:09 00:10:10:17						$LIST1:1of1d
00:10:10:17 00:10:10:27
00:10:10:27 00:10:10:35						THROUGH2A*		durch
00:10:10:35 00:10:10:39
00:10:10:39 00:10:10:42						I1*		ich
00:10:10:42 00:10:11:00
00:10:11:00 00:10:11:05						A-MOMENT-AGO1B*		eben
00:10:11:05 00:10:11:15
00:10:11:15 00:10:11:30						TO-SAY3*		gesagt
00:10:11:30 00:10:11:47
00:10:11:47 00:10:12:09						$ALPHA1:M*		nibelungen
00:10:12:09 00:10:12:16
00:10:12:16 00:10:12:36						$INDEX2*
00:10:12:36 00:10:12:45
00:10:12:45 00:10:13:05					Mainz is also very well known. It’s the capital of the federal state.
00:10:13:05 00:10:13:13						$LIST1:2of2d*
00:10:13:13 00:10:13:28
00:10:13:28 00:10:13:34						$GEST-ATTENTION1^*
00:10:13:34 00:10:13:43
00:10:13:43 00:10:14:35						MAINZ1*		mainz
00:10:14:35 00:10:15:09
00:10:15:09 00:10:15:27						WELL-KNOWN2*		bekannt
00:10:15:27 00:10:15:49
00:10:15:49 00:10:16:16						$LIST1:2of2d
00:10:16:16 00:10:16:34
00:10:16:34 00:10:16:49						MAINZ1*		mainz
00:10:16:49 00:10:17:14
00:10:17:14 00:10:17:24						SELF1A*		selbst
00:10:17:24 00:10:18:33
00:10:18:33 00:10:18:36						CITY2*
00:10:18:36 00:10:18:46
00:10:18:46 00:10:19:14							COUNTRY1A*	landeshauptstadt
00:10:19:14 00:10:19:31
00:10:19:31 00:10:19:39							$MORPH-MAIN1A*
00:10:19:39 00:10:19:48
00:10:19:48 00:10:20:15						CITY2*
00:10:20:15 00:10:21:26
00:10:21:26 00:10:21:45					The federal government, with Kurt Beck as president, is based there.
00:10:21:45 00:10:22:03							THERE1	dort
00:10:22:03 00:10:22:16
00:10:22:16 00:10:22:38							GOVERNMENT1*	regierung
00:10:22:38 00:10:22:47
00:10:22:47 00:10:23:04							FOR1*	für
00:10:23:04 00:10:23:14
00:10:23:14 00:10:23:35							COUNTRY1A*	landesregierung
00:10:23:35 00:10:23:44
00:10:23:44 00:10:24:17						GOVERNMENT1
00:10:24:17 00:10:24:28
00:10:24:28 00:10:24:33							$INDEX1
00:10:24:33 00:10:25:00
00:10:25:00 00:10:25:15						THROUGH2B*		durch
00:10:25:15 00:10:25:29
00:10:25:29 00:10:25:39							$ALPHA1:T	kurt beck
00:10:25:39 00:10:26:08
00:10:26:08 00:10:26:14						$NAME*
00:10:26:14 00:10:26:19
00:10:26:19 00:10:26:35						$NAME
00:10:26:35 00:10:26:46
00:10:26:46 00:10:27:06							$ALPHA1:K
00:10:27:06 00:10:27:39
00:10:27:39 00:10:28:23					Mainz was founded in Roman times.
00:10:28:23 00:10:28:39						$INDEX1*
00:10:28:39 00:10:28:47
00:10:28:47 00:10:29:14						AREA1A^		mainz
00:10:29:14 00:10:29:33
00:10:29:33 00:10:29:39							ALSO1A*	auch
00:10:29:39 00:10:30:14
00:10:30:14 00:10:30:45						HISTORY-OR-STORY1B		geschichte
00:10:30:45 00:10:31:09
00:10:31:09 00:10:31:20							PAST1^*
00:10:31:20 00:10:31:44
00:10:31:44 00:10:32:09						TO-FOUND2		[MG]
00:10:32:09 00:10:32:27
00:10:32:27 00:10:32:38						THROUGH2B*		durch
00:10:32:38 00:10:33:30
00:10:33:30 00:10:33:43							ROME1	römerzeit
00:10:33:43 00:10:34:05
00:10:34:05 00:10:34:31							TIME7C*
00:10:34:31 00:10:34:38
00:10:34:38 00:10:34:41						$GEST-OFF1^
00:10:34:41 00:10:35:08
00:10:35:08 00:10:35:26					Back then, the Romans built a lot of cities along the Rhine.
00:10:35:26 00:10:35:38							ROME1*	römer
00:10:35:38 00:10:36:10
00:10:36:10 00:10:36:27							HAVE-AUXILIARY1*	haben
00:10:36:27 00:10:36:45
00:10:36:45 00:10:37:08						BORDER1A^*		am rhein
00:10:37:08 00:10:37:20
00:10:37:20 00:10:37:23						$INDEX1*
00:10:37:23 00:10:37:32
00:10:37:32 00:10:37:37							MUCH1C*	viele
00:10:37:37 00:10:37:49
00:10:37:49 00:10:38:09						CITY2*		städte
00:10:38:09 00:10:38:22
00:10:38:22 00:10:38:42						TO-PROMOTE1A^*		errichtet
00:10:38:42 00:10:39:03
00:10:39:03 00:10:39:18					Among them were Mainz, Cologne and Worms.
00:10:39:18 00:10:39:27							IN-ADDITION1*	dazu
00:10:39:27 00:10:39:37
00:10:39:37 00:10:39:43							ALSO1A	auch
00:10:39:43 00:10:40:13
00:10:40:13 00:10:40:23						$LIST1:1of1d*
00:10:40:23 00:10:40:34
00:10:40:34 00:10:40:48						MAINZ1*		mainz
00:10:40:48 00:10:41:02
00:10:41:02 00:10:41:15						$LIST1:1of1d
00:10:41:15 00:10:41:26
00:10:41:26 00:10:41:34						HORNS2C^*		köln
00:10:41:34 00:10:41:43
00:10:41:43 00:10:41:48						$LIST1:2of2d*
00:10:41:48 00:10:42:31
00:10:42:31 00:10:43:05						$NUM-ONE-TO-TEN1A:2d	$ALPHA1:W	worms
00:10:43:05 00:10:43:12					Worms used to be named Wormatia. That’s what the soccer club is called today.
00:10:43:12 00:10:43:34						$ALPHA1:W*		worms
00:10:43:34 00:10:43:46
00:10:43:46 00:10:44:10						THROUGH2B*		durch
00:10:44:10 00:10:44:18
00:10:44:18 00:10:44:25							TOGETHER3B^*	früher
00:10:44:25 00:10:44:36
00:10:44:36 00:10:44:44							OLD2C*	alter
00:10:44:44 00:10:45:10
00:10:45:10 00:10:45:38						HEADING1^*		name
00:10:45:38 00:10:46:06
00:10:46:06 00:10:46:14						TODAY1*		heute
00:10:46:14 00:10:46:25
00:10:46:25 00:10:46:40						SPORTS1^		fußball
00:10:46:40 00:10:46:46
00:10:46:46 00:10:47:11						SAME2A		selbe
00:10:47:11 00:10:47:30
00:10:47:30 00:10:49:06							$ALPHA1:W-I-A-A	wormatia
00:10:49:06 00:10:49:13
00:10:49:13 00:10:49:27					Cologne used to be called Colonia.
00:10:49:27 00:10:49:37						$LIST1:2of2d
00:10:49:37 00:10:50:08
00:10:50:08 00:10:50:23							COLOGNE1	köln
00:10:50:23 00:10:50:24
00:10:50:24 00:10:50:39						$GEST-NM-SHAKE-HEAD1^
00:10:50:39 00:10:50:42
00:10:50:42 00:10:51:04						TO-CHANGE12*		um
00:10:51:04 00:10:51:17
00:10:51:17 00:10:52:34							$ALPHA1:C-I-A-A	colonia
00:10:52:34 00:10:52:45
00:10:52:45 00:10:53:10					I sadly don’t know the old name of Mainz.
00:10:53:10 00:10:53:33						$LIST1:3of3d
00:10:53:33 00:10:54:11
00:10:54:11 00:10:54:22							MAINZ1*	mainz
00:10:54:22 00:10:54:25
00:10:54:25 00:10:54:33						$INDEX1*
00:10:54:33 00:10:54:38
00:10:54:38 00:10:54:47							PAST-OR-BACK-THEN1*	früher
00:10:54:47 00:10:55:16
00:10:55:16 00:10:55:23							TO-KNOW-STH2A*	weiß
00:10:55:23 00:10:55:31
00:10:55:31 00:10:55:39						NOT3B		nicht
00:10:55:39 00:10:56:02
00:10:56:02 00:10:56:07						WHATS-THE-NAME-$CANDIDATE-FRA26^		name
00:10:56:07 00:10:56:14
00:10:56:14 00:10:56:25							HEADING1^*
00:10:56:25 00:10:56:43
00:10:56:43 00:10:56:47							UNFORTUNATELY1A*	leider
00:10:56:47 00:10:57:13							UNFORTUNATELY1A*	leider	Moguntiacum.
00:10:57:13 00:10:58:18
00:10:58:18 00:11:00:38
00:11:00:38 00:11:01:26
00:11:01:26 00:11:01:36					Right, for example.
00:11:01:36 00:11:01:43							$INDEX2
00:11:01:43 00:11:02:06
00:11:02:06 00:11:02:26						EXAMPLE2*		zum beispiel
00:11:02:26 00:11:03:22
00:11:03:22 00:11:03:43					My hometown Oggersheim also has a small tourist attraction.
00:11:03:43 00:11:04:19							HERE1*	auch
00:11:04:19 00:11:04:28
00:11:04:28 00:11:04:38							MY1*
00:11:04:38 00:11:05:01
00:11:05:01 00:11:05:07						HOMELAND4		heimat
00:11:05:07 00:11:05:17
00:11:05:17 00:11:05:24							PRESENT-OR-HERE1^*
00:11:05:24 00:11:05:37
00:11:05:37 00:11:06:32						$NAME		oggersheim
00:11:06:32 00:11:07:30
00:11:07:30 00:11:07:48							TO-HAVE-TO-OWN1*	hat
00:11:07:48 00:11:09:06
00:11:09:06 00:11:09:16							MEASURE-VERTICAL-SMALLER2^	auch
00:11:09:16 00:11:09:22
00:11:09:22 00:11:09:30						$ORAL^		eine
00:11:09:30 00:11:09:31
00:11:09:31 00:11:10:01							SMALL9*	kleine
00:11:10:01 00:11:10:16
00:11:10:16 00:11:10:24							WELL-KNOWN2*	bekannte
00:11:10:24 00:11:10:36
00:11:10:36 00:11:11:08							$COLOURS2A^*	geschichte
00:11:11:08 00:11:11:33
00:11:11:33 00:11:12:02					There used to be a castle right where the German Catholic Church is located today.
00:11:12:02 00:11:12:12							$INDEX1
00:11:12:12 00:11:12:36
00:11:12:36 00:11:12:38							AND5*	und
00:11:12:38 00:11:12:39
00:11:12:39 00:11:12:49						WHERE1B*		wo
00:11:12:49 00:11:13:06
00:11:13:06 00:11:13:21							TODAY1*	heute
00:11:13:21 00:11:14:03
00:11:14:03 00:11:14:17						LOCATION1B^*		steht
00:11:14:17 00:11:15:02
00:11:15:02 00:11:15:09							GERMAN1*	deutsche
00:11:15:09 00:11:15:42
00:11:15:42 00:11:16:17						CATHOLIC2		katholische
00:11:16:17 00:11:16:26
00:11:16:26 00:11:17:16						CHURCH2A		kirche
00:11:17:16 00:11:17:39
00:11:17:39 00:11:18:00						$PROD*
00:11:18:00 00:11:18:11
00:11:18:11 00:11:18:22						$ORAL^		war
00:11:18:22 00:11:18:26
00:11:18:26 00:11:18:45							PAST-OR-BACK-THEN1*	früher
00:11:18:45 00:11:19:23
00:11:19:23 00:11:20:33						BANK1^		schloss
00:11:20:33 00:11:20:41
00:11:20:41 00:11:21:02					The Austrian princess Elisabeth used to live there.
00:11:21:02 00:11:21:08							AND5
00:11:21:08 00:11:21:19
00:11:21:19 00:11:21:32							PAST-OR-BACK-THEN1*	früher
00:11:21:32 00:11:21:41
00:11:21:41 00:11:21:49							OFF1A^*	damals
00:11:21:49 00:11:22:14
00:11:22:14 00:11:22:39						AUSTRIA1A*		österreichische
00:11:22:39 00:11:23:22
00:11:23:22 00:11:23:29							TALL2A^*	fürstin
00:11:23:29 00:11:23:43
00:11:23:43 00:11:24:10						$NAME		elisabeth
00:11:24:10 00:11:24:14
00:11:24:14 00:11:24:27							POINT1A^
00:11:24:27 00:11:24:47
00:11:24:47 00:11:25:05							$INDEX1
00:11:25:05 00:11:25:16
00:11:25:16 00:11:25:23						TO-SIT1A^*		gewohnt
00:11:25:23 00:11:25:28
00:11:25:28 00:11:25:36							$INDEX1
00:11:25:36 00:11:26:10
00:11:26:10 00:11:26:23					It was her summer residence.
00:11:26:23 00:11:26:31							OFTEN1A*	oft
00:11:26:31 00:11:26:45
00:11:26:45 00:11:27:11						VACATION6		als urlaub
00:11:27:11 00:11:27:20
00:11:27:20 00:11:27:33						$GEST-OFF1^
00:11:27:33 00:11:28:15
00:11:28:15 00:11:28:32					Oggersheim used to be/
00:11:28:32 00:11:28:41							LOCATION1A	oggersheim
00:11:28:41 00:11:29:30
00:11:29:30 00:11:30:02							PAST-OR-BACK-THEN1*	früher
00:11:30:02 00:11:30:28
00:11:30:28 00:11:30:35						$GEST-I-DONT-KNOW1^		[MG]
00:11:30:35 00:11:30:36
00:11:30:36 00:11:30:44					Oggersheim is very, very old.
00:11:30:44 00:11:31:00							$INDEX1	oggersheim
00:11:31:00 00:11:31:18
00:11:31:18 00:11:31:42						VERY3*		sehr sehr
00:11:31:42 00:11:32:07
00:11:32:07 00:11:32:23							OLD2C*	alt
00:11:32:23 00:11:32:42
00:11:32:42 00:11:32:48					Almost 2000 years old.
00:11:32:48 00:11:33:04						$GEST-DECLINE1^*		fast
00:11:33:04 00:11:33:09
00:11:33:09 00:11:33:16							$NUM-ONE-TO-TEN1A:2d	zweitausend
00:11:33:16 00:11:33:26
00:11:33:26 00:11:33:36							$NUM-THOUSANDS1
00:11:33:36 00:11:33:45
00:11:33:45 00:11:34:09							HARMLESS1^*	jahre alt
00:11:34:09 00:11:34:19
00:11:34:19 00:11:35:28						$GEST-OFF1^
00:11:35:28 00:11:35:49
00:11:35:49 00:11:36:14					There used to be a friary back then.
00:11:36:14 00:11:36:23							$INDEX1*	und
00:11:36:23 00:11:36:37
00:11:36:37 00:11:37:13							$INDEX1*	dahinter
00:11:37:13 00:11:37:38
00:11:37:38 00:11:38:01							PAST1^	gab
00:11:38:01 00:11:38:08
00:11:38:08 00:11:38:14							ALSO1A	auch
00:11:38:14 00:11:38:28
00:11:38:28 00:11:39:15						MONK1		mönchskloster
00:11:39:15 00:11:39:31
00:11:39:31 00:11:39:35							$INDEX1*
00:11:39:35 00:11:40:06					The entire area around Oggersheim was a town back then.
00:11:40:06 00:11:40:15						$ORAL^		und
00:11:40:15 00:11:40:17
00:11:40:17 00:11:41:13							TERRITORY1*	gebiet
00:11:41:13 00:11:41:27
00:11:41:27 00:11:41:38						$NAME		oggersheim
00:11:41:38 00:11:42:02
00:11:42:02 00:11:42:06						$ORAL^		war
00:11:42:06 00:11:42:17							PAST-OR-BACK-THEN1*	früher
00:11:42:17 00:11:42:24
00:11:42:24 00:11:42:36							TO-BELONG1^*	eigen
00:11:42:36 00:11:42:48
00:11:42:48 00:11:43:18						CITY2		stadt
00:11:43:18 00:11:43:42
00:11:43:42 00:11:44:26						HEADING1*
00:11:44:26 00:11:45:28
00:11:45:28 00:11:45:44					The number of inhabitants was always fluctuating due to wars and famines.
00:11:45:44 00:11:46:03							AND5	und
00:11:46:03 00:11:46:09
00:11:46:09 00:11:46:17							THROUGH2A	durch
00:11:46:17 00:11:46:26
00:11:46:26 00:11:46:34						WAR1A*		krieg
00:11:46:34 00:11:47:11
00:11:47:11 00:11:47:17							AND5*	und
00:11:47:17 00:11:47:26
00:11:47:26 00:11:47:38							HUNGER3	hungersnot
00:11:47:38 00:11:48:10
00:11:48:10 00:11:49:42							$PROD*	[MG]
00:11:49:42 00:11:50:08
00:11:50:08 00:11:50:21					But today, Oggersheim is the biggest district of the city of Ludwigshafen.
00:11:50:21 00:11:50:30							BUT1	aber
00:11:50:30 00:11:51:20
00:11:51:20 00:11:51:39							$INDEX1*	oggersheim
00:11:51:39 00:11:52:21
00:11:52:21 00:11:52:28							SELF1A*	selbst
00:11:52:28 00:11:52:36
00:11:52:36 00:11:52:42							ROUND6A^*
00:11:52:42 00:11:53:06
00:11:53:06 00:11:53:18						$NAME		größt
00:11:53:18 00:11:53:33
00:11:53:33 00:11:54:11						TO-SPLIT1^*		stadtteil
00:11:54:11 00:11:54:21
00:11:54:21 00:11:54:26							TO-BELONG1^*
00:11:54:26 00:11:54:37
00:11:54:37 00:11:55:06							LUDWIGSHAFEN2*	ludwigshafen
00:11:55:06 00:11:55:23
00:11:55:23 00:11:55:32					It has 22,000 inhabitants.
00:11:55:32 00:11:55:40							WITH1A	mit
00:11:55:40 00:11:56:03
00:11:56:03 00:11:56:33							$NUM-DOUBLE1A:2	zweiundzwanzigtausend
00:11:56:33 00:11:56:46
00:11:56:46 00:11:57:09							$NUM-THOUSANDS1*
00:11:57:09 00:11:57:28
00:11:57:28 00:11:59:15						TO-SIT1A^		einwohner
00:11:59:15 00:11:59:45
00:11:59:45 00:12:00:30					The town has since lost its town privilege.
00:12:00:30 00:12:01:22							$INDEX1*	oggersheim
00:12:01:22 00:12:02:00
00:12:02:00 00:12:02:09						MUST1A^*		hat
00:12:02:09 00:12:02:19
00:12:02:19 00:12:02:32							HIS-HER1*	sein
00:12:02:32 00:12:02:39
00:12:02:39 00:12:02:46						CITY2*		stadtrecht
00:12:02:46 00:12:03:06
00:12:03:06 00:12:03:14						LAW-OR-JUSTICE1
00:12:03:14 00:12:03:25
00:12:03:25 00:12:04:27						TO-LOSE1		verloren
00:12:04:27 00:12:04:44
00:12:04:44 00:12:05:07					In 1880, BASF was founded within the town.
00:12:05:07 00:12:05:14							ATTENTION1A^*
00:12:05:14 00:12:05:22
00:12:05:22 00:12:05:37							BACK-THEN1*	damals
00:12:05:37 00:12:05:49
00:12:05:49 00:12:06:08							MUST1A^	wurde
00:12:06:08 00:12:06:32
00:12:06:32 00:12:08:46						$NAME		b-a-s-f
00:12:08:46 00:12:09:16
00:12:09:16 00:12:09:29						TO-FOUND2		gegründet
00:12:09:29 00:12:09:38
00:12:09:38 00:12:09:45						$PROD*
00:12:09:45 00:12:10:03
00:12:10:03 00:12:10:17						$NUM-TEEN2A:8d*		achtzehnhundertachzig
00:12:10:17 00:12:10:21
00:12:10:21 00:12:10:35						$NUM-HUNDREDS1:1*
00:12:10:35 00:12:11:04
00:12:11:04 00:12:11:46						$NUM-TENS2A:8d*
00:12:11:46 00:12:12:31
00:12:12:31 00:12:12:45					BASF is almost 175 years old now.
00:12:12:45 00:12:13:02							$INDEX1	[MG]
00:12:13:02 00:12:13:07
00:12:13:07 00:12:14:02						$NAME		b-a-s-f
00:12:14:02 00:12:14:08
00:12:14:08 00:12:14:15							IS1*	ist
00:12:14:15 00:12:14:25
00:12:14:25 00:12:14:41						ALREADY1A*		schon
00:12:14:41 00:12:14:47
00:12:14:47 00:12:15:14						SOON4*		bald
00:12:15:14 00:12:15:25
00:12:15:25 00:12:15:37							$NUM-HUNDREDS1:1	hundertfünfundsiebzig
00:12:15:37 00:12:15:46
00:12:15:46 00:12:16:02							$NUM-ONE-TO-TEN1B:5
00:12:16:02 00:12:16:12
00:12:16:12 00:12:16:18						$NUM-ONE-TO-TEN1B:7d
00:12:16:18 00:12:16:26
00:12:16:26 00:12:16:36							OLD2C*	jahre
00:12:16:36 00:12:16:42
00:12:16:42 00:12:17:15							OUTDOORS1A^	alt
00:12:17:15 00:12:17:25
00:12:17:25 00:12:17:30					10 years ago they celebrated their anniversary.
00:12:17:30 00:12:17:36							$INDEX1
00:12:17:36 00:12:17:48
00:12:17:48 00:12:18:09						TO-CELEBRATE1A^		jubi{läum}
00:12:18:09 00:12:18:17
00:12:18:17 00:12:18:40							PAST1^*	[MG]
00:12:18:40 00:12:19:06
00:12:19:06 00:12:19:20							APPROXIMATELY1^*	vor
00:12:19:20 00:12:19:26
00:12:19:26 00:12:19:36						$NUM-YEAR-BEFORE-NOW1:10		zehn jahren
00:12:19:36 00:12:20:07
00:12:20:07 00:12:20:21						OFF1A^*		schon
00:12:20:21 00:12:20:28
00:12:20:28 00:12:20:45							$INDEX4*	abgelaufen
00:12:20:45 00:12:21:44
00:12:21:44 00:12:22:45					Through the foundation of BASF, it was decided to found the city of Ludwigshafen.
00:12:22:45 00:12:23:10							$INDEX1*
00:12:23:10 00:12:23:14
00:12:23:14 00:12:23:38							THROUGH2A	durch
00:12:23:38 00:12:23:47
00:12:23:47 00:12:24:42						$NAME		b-a-s-f
00:12:24:42 00:12:25:24
00:12:25:24 00:12:25:33							MUST1A^	wurde
00:12:25:33 00:12:26:06
00:12:26:06 00:12:26:11						LOCATION1B^*
00:12:26:11 00:12:26:19
00:12:26:19 00:12:26:28							EXPENSIVE1^*	stadt
00:12:26:28 00:12:26:46
00:12:26:46 00:12:27:09							LUDWIGSHAFEN2*	ludwigshafen
00:12:27:09 00:12:27:29
00:12:27:29 00:12:27:49						TO-FOUND2		gegründe{t}
00:12:27:49 00:12:28:15
00:12:28:15 00:12:28:24					Oddly enough, it was the emperor from Kaiserslautern who signed the papers for the city foundation.
00:12:28:24 00:12:28:30							ATTENTION1A^
00:12:28:30 00:12:29:00
00:12:29:00 00:12:29:17						FUNNY1		lustig
00:12:29:17 00:12:29:34
00:12:29:34 00:12:30:04						TO-SIGN-A-FORM1C*		unterschrift
00:12:30:04 00:12:30:21
00:12:30:21 00:12:31:13						AGREED1		einverstanden
00:12:31:13 00:12:31:38
00:12:31:38 00:12:32:06						THROUGH2B		durch
00:12:32:06 00:12:32:21
00:12:32:21 00:12:32:46						WHAT1B^		wen
00:12:32:46 00:12:33:12
00:12:33:12 00:12:33:23							MUST1A^	durch
00:12:33:23 00:12:33:49
00:12:33:49 00:12:34:29							EMPEROR1B*	kaiser
00:12:34:29 00:12:34:40
00:12:34:40 00:12:34:48							FROM1*	aus
00:12:34:48 00:12:35:16
00:12:35:16 00:12:35:23							INTELLIGENT1^	kaiserslautern
00:12:35:23 00:12:35:30
00:12:35:30 00:12:35:46							HIS-HER1
00:12:35:46 00:12:36:12
00:12:36:12 00:12:36:34						$GEST-NM-NOD-HEAD1^
00:12:36:34 00:12:36:46					He gave his agreement.
00:12:36:46 00:12:37:02							SELF2*	selbst
00:12:37:02 00:12:37:13
00:12:37:13 00:12:37:20							KING1B	könig
00:12:37:20 00:12:37:36
00:12:37:36 00:12:38:10						TO-SIGN-A-FORM1A		unterschrieben
00:12:38:10 00:12:38:31
00:12:38:31 00:12:38:41					Frederick the Great.
00:12:38:41 00:12:38:49						$LIST1:1of1d
00:12:38:49 00:12:39:09
00:12:39:09 00:12:39:32						$ALPHA1:F*		friedrich
00:12:39:32 00:12:40:14
00:12:40:14 00:12:40:21							BIG6*	der große
00:12:40:21 00:12:40:29
00:12:40:29 00:12:40:33						$LIST1:1of1d
00:12:40:33 00:12:41:06
00:12:41:06 00:12:41:21					The city was supposed to grow.
00:12:41:21 00:12:41:34						$LIST1:2of2d
00:12:41:34 00:12:42:05
00:12:42:05 00:12:42:20						THEN7*
00:12:42:20 00:12:42:37
00:12:42:37 00:12:42:49						$LIST1:2of2d		dann
00:12:42:49 00:12:43:08
00:12:43:08 00:12:43:44						$INDEX1*
00:12:43:44 00:12:44:08
00:12:44:08 00:12:44:17						THEN7*		dann
00:12:44:17 00:12:44:26
00:12:44:26 00:12:44:31							MUST1*	muss
00:12:44:31 00:12:44:42
00:12:44:42 00:12:45:38						TO-GROW3*		wieder wachsen
00:12:45:38 00:12:46:07					So three urban areas were included.
00:12:46:07 00:12:46:13							AND-THEN1*	und dann
00:12:46:13 00:12:46:23
00:12:46:23 00:12:47:06							TO-SWALLOW1	schluck
00:12:47:06 00:12:47:19
00:12:47:19 00:12:48:06							LOCATION1A^*	??
00:12:48:06 00:12:48:07
00:12:48:07 00:12:48:17					So Friesenheim, Oppau, Oggersheim and Rheingönheim were included.
00:12:48:17 00:12:48:37						$LIST1:1of1d		friesenheim
00:12:48:37 00:12:48:47
00:12:48:47 00:12:49:13						YEAR1B^*
00:12:49:13 00:12:49:25
00:12:49:25 00:12:49:33						$LIST1:2of2d		oppau
00:12:49:33 00:12:49:44
00:12:49:44 00:12:50:04						$ALPHA1:O*
00:12:50:04 00:12:50:25						$GEST^*
00:12:50:25 00:12:50:44
00:12:50:44 00:12:51:05						$LIST1:3of3d
00:12:51:05 00:12:51:18
00:12:51:18 00:12:52:08						$NAME		oggersheim
00:12:52:08 00:12:52:31
00:12:52:31 00:12:54:05						$LIST1:4of4d
00:12:54:05 00:12:54:19
00:12:54:19 00:12:54:29						RHINE-RIVER1*		rheingönheim
00:12:54:29 00:12:54:33
00:12:54:33 00:12:55:01						AREA1A*
00:12:55:01 00:12:55:26
00:12:55:26 00:12:55:44						TOGETHER7		[MG]
00:12:55:44 00:12:56:10
00:12:56:10 00:12:56:33							TO-SWALLOW1*	verschluckt
00:12:56:33 00:12:56:42
00:12:56:42 00:12:57:11					Today, including all districts, Ludwigshafen has around 160,000 inhabitants.
00:12:57:11 00:12:57:21						TODAY1*		heute
00:12:57:21 00:12:58:01
00:12:58:01 00:12:58:26							AREA1A	ludwigshafen
00:12:58:26 00:12:58:45
00:12:58:45 00:12:59:08						TO-SIT1A^
00:12:59:08 00:12:59:24
00:12:59:24 00:12:59:31							WITH1A	mit
00:12:59:31 00:12:59:40
00:12:59:40 00:12:59:46						TO-SPLIT1^		stadtteil
00:12:59:46 00:13:00:14						AREA1D		stadtteil
00:13:00:14 00:13:00:24
00:13:00:24 00:13:01:04						EVERYTHING1B		[MG]
00:13:01:04 00:13:01:28
00:13:01:28 00:13:02:13							APPROXIMATELY3A^	etwa
00:13:02:13 00:13:02:41
00:13:02:41 00:13:03:05							$NUM-HUNDREDS1:1d	hundertsechzigtausend
00:13:03:05 00:13:03:18
00:13:03:18 00:13:03:35						$NUM-TENS2A:6d*
00:13:03:35 00:13:03:46
00:13:03:46 00:13:04:06							$NUM-THOUSANDS1
00:13:04:06 00:13:04:23
00:13:04:23 00:13:05:02						TO-SIT1A^		einwohner
00:13:05:02 00:13:05:19
00:13:05:19 00:13:06:18	For a long period of time the number of inhabitants of the town did not change.
00:13:06:18 00:13:07:00			LONG-TIME2	lange
00:13:07:00 00:13:07:08					But/		$INDEX1
00:13:07:08 00:13:07:17		SAME2A*		dasselbe
00:13:07:17 00:13:07:24							BUT1^*
00:13:07:24 00:13:07:26
00:13:07:26 00:13:07:30
00:13:07:30 00:13:07:45		TO-COME2^*		einwohner
00:13:07:45 00:13:07:48		TO-COME2^*		einwohner	The city has had some hard times, too.
00:13:07:48 00:13:08:21
00:13:08:21 00:13:08:31						BUT1*		aber
00:13:08:31 00:13:09:16
00:13:09:16 00:13:09:24							BUT1
00:13:09:24 00:13:09:36
00:13:09:36 00:13:09:45							LUDWIGSHAFEN2*	ludwigshafen
00:13:09:45 00:13:10:02
00:13:10:02 00:13:10:12						BORDER1A^
00:13:10:12 00:13:10:23
00:13:10:23 00:13:10:32							HAVE-AUXILIARY1	hat
00:13:10:32 00:13:10:40
00:13:10:40 00:13:10:47							ALSO1A	auch
00:13:10:47 00:13:11:29
00:13:11:29 00:13:11:34						$GEST-OFF1^
00:13:11:34 00:13:12:00
00:13:12:00 00:13:12:17						BIG3A		großes
00:13:12:17 00:13:12:26
00:13:12:26 00:13:12:46						THIS-AND-THAT1^*		schicksal
00:13:12:46 00:13:13:01
00:13:13:01 00:13:13:25							TO-HAVE-TO-OWN1*	gehabt
00:13:13:25 00:13:14:00
00:13:14:00 00:13:14:17							$COLOURS2A^*	geschich{te}
00:13:14:17 00:13:14:45
00:13:14:45 00:13:15:22					BASF used to have a huge chemistry factory in Ludwigshafen.
00:13:15:22 00:13:15:40							LOGICAL2*	logisch
00:13:15:40 00:13:16:11
00:13:16:11 00:13:16:16							$INDEX1
00:13:16:16 00:13:16:36
00:13:16:36 00:13:17:11							$PROD*	ludwigshafen
00:13:17:11 00:13:17:29
00:13:17:29 00:13:18:07						$NAME		b-a-s-f
00:13:18:07 00:13:18:33
00:13:18:33 00:13:18:46						BIG3B*
00:13:18:46 00:13:19:06
00:13:19:06 00:13:19:31						CHEMISTRY2*		chemiefabrik
00:13:19:31 00:13:20:00
00:13:20:00 00:13:20:24						BIG3B^*
00:13:20:24 00:13:20:42
00:13:20:42 00:13:21:07					During the times of National Socialism, industrial centres were always the first to be destroyed by bombs in the wars.
00:13:21:07 00:13:21:16						WAR1A*		kriegszeit
00:13:21:16 00:13:21:32
00:13:21:32 00:13:21:48						TIME7A*
00:13:21:48 00:13:22:02
00:13:22:02 00:13:22:12							PAST-OR-BACK-THEN1*	früher
00:13:22:12 00:13:22:21
00:13:22:21 00:13:22:33							NAZI2*	nazi
00:13:22:33 00:13:23:06
00:13:23:06 00:13:23:14							$INDEX1
00:13:23:14 00:13:23:34
00:13:23:34 00:13:23:48						ALWAYS4A		immer
00:13:23:48 00:13:24:04
00:13:24:04 00:13:24:20							FIRST1A	zuerst
00:13:24:20 00:13:24:38
00:13:24:38 00:13:25:12						ECONOMY1B		wirtschaft
00:13:25:12 00:13:25:34
00:13:25:34 00:13:26:01						INDUSTRY4*		industrie
00:13:26:01 00:13:26:19
00:13:26:19 00:13:27:22						TO-DESTROY1		[MG]
00:13:27:22 00:13:27:42
00:13:27:42 00:13:28:39							TO-THROW1^*	bomben
00:13:28:39 00:13:28:41
00:13:28:41 00:13:28:46					Everything had to be rebuilt again.
00:13:28:46 00:13:29:02						$LIST1:1of1d
00:13:29:02 00:13:29:25
00:13:29:25 00:13:29:31							MUST1*	muss
00:13:29:31 00:13:29:38
00:13:29:38 00:13:29:49						ONCE-MORE2B*		wieder
00:13:29:49 00:13:30:02
00:13:30:02 00:13:30:44						TO-BUILD-UP2		aufbauen
00:13:30:44 00:13:31:01
00:13:31:01 00:13:31:08					Sad things also happened in Ludwigshafen between 1920 and 1924.
00:13:31:08 00:13:31:14						$LIST1:2of2d
00:13:31:14 00:13:31:35
00:13:31:35 00:13:31:42							$INDEX1
00:13:31:42 00:13:32:04
00:13:32:04 00:13:32:15							LUDWIGSHAFEN2*	ludwigshafen
00:13:32:15 00:13:32:36
00:13:32:36 00:13:32:40							SAD6A*	traurige
00:13:32:40 00:13:33:14
00:13:33:14 00:13:33:28						TIME7A*		zeit
00:13:33:28 00:13:33:36
00:13:33:36 00:13:33:45							OFF1A^*	war
00:13:33:45 00:13:34:03
00:13:34:03 00:13:34:22						$NUM-TEEN2A:1*		neunzehnhundertvierundzwanzig
00:13:34:22 00:13:34:39						$NUM-HUNDREDS1:1*
00:13:34:39 00:13:35:01
00:13:35:01 00:13:35:08							$NUM-ONE-TO-TEN1B:4
00:13:35:08 00:13:35:24
00:13:35:24 00:13:35:36							$NUM-TENS4B:2d*
00:13:35:36 00:13:36:40
00:13:36:40 00:13:37:06							AND1	und
00:13:37:06 00:13:37:15
00:13:37:15 00:13:37:26							$NUM-HUNDREDS1:1*	neunzehnhundertzwanzig
00:13:37:26 00:13:37:34
00:13:37:34 00:13:37:40							$NUM-TENS2A:2d*
00:13:37:40 00:13:38:03
00:13:38:03 00:13:38:32							ALSO3A	auch
00:13:38:32 00:13:39:00
00:13:39:00 00:13:39:05					Back then, chemistry factories didn’t really pay much attention to safety precautions.
00:13:39:05 00:13:39:19						THROUGH2B		durch
00:13:39:19 00:13:40:00
00:13:40:00 00:13:40:06						$INDEX1*
00:13:40:06 00:13:40:25
00:13:40:25 00:13:40:41							BACK-THEN1	damals
00:13:40:41 00:13:41:00
00:13:41:00 00:13:42:04						CHEMISTRY2*		chemie
00:13:42:04 00:13:42:18
00:13:42:18 00:13:42:31						$ORAL^		noch nicht
00:13:42:31 00:13:42:39
00:13:42:39 00:13:42:45						SECURE1*		sicher
00:13:42:45 00:13:43:14
00:13:43:14 00:13:44:11						TO-LOOK-AFTER-SB1B*		aufpassen
00:13:44:11 00:13:44:27
00:13:44:27 00:13:44:35						SECURE1*		sicherheit
00:13:44:35 00:13:44:44
00:13:44:44 00:13:45:06							NO3B^
00:13:45:06 00:13:45:41
00:13:45:41 00:13:46:06					The factory was built close to the town of Oppau. One day, there was a huge explosion.
00:13:46:06 00:13:46:08							$INDEX1
00:13:46:08 00:13:46:26
00:13:46:26 00:13:46:37						TOGETHER6*		zu nah
00:13:46:37 00:13:47:02
00:13:47:02 00:13:47:10						TO-BUILD1*		bauen
00:13:47:10 00:13:47:27
00:13:47:27 00:13:47:39						NEAR1C*		bei
00:13:47:39 00:13:47:49
00:13:47:49 00:13:48:03							$ALPHA1:O	oppau
00:13:48:03 00:13:48:22
00:13:48:22 00:13:48:30							LOCATION1A^
00:13:48:30 00:13:48:35
00:13:48:35 00:13:49:30							AREA1A^	ortsgemeinschaft
00:13:49:30 00:13:50:30
00:13:50:30 00:13:50:42						HEAVY2A		schwere
00:13:50:42 00:13:51:01
00:13:51:01 00:13:51:22						EXPLOSION1*		explosion
00:13:51:22 00:13:52:18
00:13:52:18 00:13:52:29					Half of Oppau’s inhabitants died, and half the town was destroyed during that explosion.
00:13:52:29 00:13:52:32							$INDEX1
00:13:52:32 00:13:52:47
00:13:52:47 00:13:53:11						HALF1A*		halb
00:13:53:11 00:13:53:30
00:13:53:30 00:13:54:15							AREA1A^	oppau
00:13:54:15 00:13:54:26
00:13:54:26 00:13:54:39							DEATH3	[MG]
00:13:54:39 00:13:55:03
00:13:55:03 00:13:55:18							HALF3*	halbe
00:13:55:18 00:13:55:30
00:13:55:30 00:13:55:39						CITY2*		stadt
00:13:55:39 00:13:55:46
00:13:55:46 00:13:56:03							HALF3*	halb
00:13:56:03 00:13:56:22
00:13:56:22 00:13:57:13						TO-DESTROY1		[MG]
00:13:57:13 00:13:57:26
00:13:57:26 00:13:57:42					Within three thousand meters, a huge crater formed.
00:13:57:42 00:13:58:09						SPIKY-AT-THE-BOTTOM1^		krater
00:13:58:09 00:13:58:18
00:13:58:18 00:13:58:24							$INDEX1
00:13:58:24 00:13:59:00
00:13:59:00 00:13:59:16							$NUM-THOUSANDS1:3d*	dreitausend
00:13:59:16 00:13:59:25
00:13:59:25 00:13:59:30						METRE1*		meter
00:13:59:30 00:13:59:34
00:13:59:34 00:14:01:02							ROUND3A^	umkreis
00:14:01:02 00:14:01:11
00:14:01:11 00:14:02:03						$GEST-NM-NOD-HEAD1^
00:14:02:03 00:14:02:08
00:14:02:08 00:14:02:24					The district of Oppau was then rebuilt elsewhere.
00:14:02:24 00:14:02:32							AND5*
00:14:02:32 00:14:03:00
00:14:03:00 00:14:03:08						$INDEX1*		oppau
00:14:03:08 00:14:03:21
00:14:03:21 00:14:03:30							MUST1	muss
00:14:03:30 00:14:04:05
00:14:04:05 00:14:04:25						NEW1A		neu
00:14:04:25 00:14:04:43
00:14:04:43 00:14:04:48						BODY3^*		ortsteil
00:14:04:48 00:14:05:05
00:14:05:05 00:14:05:12						ROUND2^
00:14:05:12 00:14:05:25
00:14:05:25 00:14:05:40						TO-BUILD1		bauen
00:14:05:40 00:14:06:07
00:14:06:07 00:14:07:01							TO-MOVE-STH1*	versetzen
00:14:07:01 00:14:08:00
00:14:08:00 00:14:08:16					Yes, that’s also part of history.
00:14:08:16 00:14:08:26						$GEST-OFF1^		[MG]
00:14:08:26 00:14:09:02
00:14:09:02 00:14:09:08							ALSO3A*	auch
00:14:09:08 00:14:09:15
00:14:09:15 00:14:09:37						HISTORY-OR-STORY1B		geschichte
00:14:09:37 00:14:09:47
00:14:09:47 00:14:10:02						$INDEX2*
00:14:10:02 00:14:11:05
00:14:11:05 00:14:11:13						$GEST-OFF1^
00:14:11:13 00:14:11:33
00:14:11:33 00:14:25:20									What do you show to your friends when they come visit you in your hometown?
00:14:25:20 00:14:26:33
00:14:26:33 00:14:26:49					When friends visit me/
00:14:26:49 00:14:27:15							I1*	ich
00:14:27:15 00:14:27:32
00:14:27:32 00:14:28:02							AREA1A^	meine
00:14:28:02 00:14:28:17
00:14:28:17 00:14:28:43						FRIEND4		freunde
00:14:28:43 00:14:29:21
00:14:29:21 00:14:29:28						$GEST-I-DONT-KNOW1^*		[MG]
00:14:29:28 00:14:30:00
00:14:30:00 00:14:30:41					Well, then we don’t usually go sight seeing or to the museum.
00:14:30:41 00:14:31:01						USUALLY1*
00:14:31:01 00:14:31:18
00:14:31:18 00:14:31:31							TO-VISIT-OR-TO-ATTEND1B	besuch
00:14:31:31 00:14:31:47
00:14:31:47 00:14:32:22							MUSEUM1	museum
00:14:32:22 00:14:32:45
00:14:32:45 00:14:33:13						OR6B*		oder
00:14:33:13 00:14:33:30
00:14:33:30 00:14:33:38							WELL-KNOWN4*	bekannt
00:14:33:38 00:14:34:04
00:14:34:04 00:14:34:15						HOTEL1^*		[MG]
00:14:34:15 00:14:34:28
00:14:34:28 00:14:34:32						TO-ADJUST3^*		oder
00:14:34:32 00:14:34:39
00:14:34:39 00:14:34:44						EXAMPLE1^*
00:14:34:44 00:14:35:17
00:14:35:17 00:14:35:23						END1^
00:14:35:23 00:14:35:33
00:14:35:33 00:14:35:44						ANYTHING1*		was
00:14:35:44 00:14:35:47
00:14:35:47 00:14:36:34						$GEST-NM-SHAKE-HEAD1^
00:14:36:34 00:14:36:43
00:14:36:43 00:14:37:13						NO2B*		nein
00:14:37:13 00:14:37:22
00:14:37:22 00:14:37:39					Usually, we just sit around privately and socialize.
00:14:37:39 00:14:37:45							MOST1B*	meist{ens}
00:14:37:45 00:14:38:01
00:14:38:01 00:14:38:16							PRIVATE2B	privat
00:14:38:16 00:14:38:24
00:14:38:24 00:14:38:37						GROUP1A^*
00:14:38:37 00:14:39:15
00:14:39:15 00:14:39:24							IN-ORDER-THAT1*	damit
00:14:39:24 00:14:39:44
00:14:39:44 00:14:40:20						TO-SIT-IN-A-CIRCLE1*		geselligkeit
00:14:40:20 00:14:40:42
00:14:40:42 00:14:41:16					The Palatinate people are known for being a funny bunch.
00:14:41:16 00:14:41:25						CLEAR1A		klar
00:14:41:25 00:14:42:05
00:14:42:05 00:14:42:13							$INDEX1
00:14:42:13 00:14:42:23
00:14:42:23 00:14:42:42							AREA1A^	pfalz
00:14:42:42 00:14:43:02
00:14:43:02 00:14:43:07							TO-HAVE-TO-OWN1*	hat
00:14:43:07 00:14:43:20
00:14:43:20 00:14:43:36							TO-SHOUT1A*	den ruf
00:14:43:36 00:14:44:13
00:14:44:13 00:14:44:44						FUNNY1		ein lustiges volk
00:14:44:44 00:14:45:04
00:14:45:04 00:14:45:27							AREA1A^
00:14:45:27 00:14:45:37
00:14:45:37 00:14:46:07							WHY8^	zu sein
00:14:46:07 00:14:46:15
00:14:46:15 00:14:46:48							$GEST-OFF1^*
00:14:46:48 00:14:47:00
00:14:47:00 00:14:47:16						$GEST-NM-NOD-HEAD1^
00:14:47:16 00:14:47:24						$GEST-NM-NOD-HEAD1^			Asks for free time activities in the area.
00:14:47:24 00:14:48:34
00:14:48:34 00:14:49:04
00:14:49:04 00:14:49:32					Yes, usually at a pub.
00:14:49:32 00:14:49:40						MOST1B*		meist{ens}
00:14:49:40 00:14:49:49
00:14:49:49 00:14:50:40						INN2		wirtschaft
00:14:50:40 00:14:51:11
00:14:51:11 00:14:58:05
00:14:58:05 00:14:59:20
00:14:59:20 00:14:59:26	I/
00:14:59:26 00:14:59:35		I1		ich
00:14:59:35 00:15:00:07
00:15:00:07 00:15:00:25		I1		ich ha{be}
00:15:00:25 00:15:01:16
00:15:01:16 00:15:01:32	I also have good friends who sometimes come to visit me and bring along family members, as well.	I1*		ich habe
00:15:01:32 00:15:01:43
00:15:01:43 00:15:02:19		ALSO1A		auch
00:15:02:19 00:15:03:31
00:15:03:31 00:15:03:35		GOOD1		gute
00:15:03:35 00:15:03:38
00:15:03:38 00:15:03:41		I2
00:15:03:41 00:15:04:00
00:15:04:00 00:15:04:18		FRIEND3		freunde
00:15:04:18 00:15:05:28
00:15:05:28 00:15:06:05		DIFFERENT2*		noch mehr andere
00:15:06:05 00:15:06:23
00:15:06:23 00:15:06:33		ALSO1A*		auch
00:15:06:33 00:15:06:44
00:15:06:44 00:15:07:06		PART1B		teil
00:15:07:06 00:15:07:17
00:15:07:17 00:15:07:24		WITH1A		mit
00:15:07:24 00:15:07:32
00:15:07:32 00:15:08:11		FAMILY3*		familie
00:15:08:11 00:15:09:04
00:15:09:04 00:15:09:27		TO-VISIT-OR-TO-ATTEND1B*		mich besuch
00:15:09:27 00:15:10:00
00:15:10:00 00:15:10:10		TO-INVITE2		einladen
00:15:10:10 00:15:10:15
00:15:10:15 00:15:10:21		$GEST-OFF1^
00:15:10:21 00:15:11:12
00:15:11:12 00:15:11:22	I make plans even before they come to visit.
00:15:11:22 00:15:11:27		I1		ich
00:15:11:27 00:15:11:41
00:15:11:41 00:15:11:48		SELF1A*		selbst
00:15:11:48 00:15:12:07
00:15:12:07 00:15:12:15		ALREADY1A*		schon
00:15:12:15 00:15:12:22
00:15:12:22 00:15:12:43		BEFOREHAND4*		vorher
00:15:12:43 00:15:13:04
00:15:13:04 00:15:13:13		TO-VISIT-OR-TO-ATTEND1A*		besuch
00:15:13:13 00:15:13:36
00:15:13:36 00:15:14:02		TO-PONDER2		über{legen}
00:15:14:02 00:15:14:15
00:15:14:15 00:15:14:33		PLAN2*		plan
00:15:14:33 00:15:14:42
00:15:14:42 00:15:15:06		TO-MAKE3		machen
00:15:15:06 00:15:16:18
00:15:16:18 00:15:16:31	When they’re there, I suggest trips one could go on.
00:15:16:31 00:15:16:38		$ORAL^		wenn
00:15:16:38 00:15:16:41
00:15:16:41 00:15:16:49		TO-VISIT-OR-TO-ATTEND1A*		besuch
00:15:16:49 00:15:17:13
00:15:17:13 00:15:17:29		PRESENT-OR-HERE2*		da
00:15:17:29 00:15:17:46
00:15:17:46 00:15:18:02		THEN7*		dann
00:15:18:02 00:15:18:09
00:15:18:09 00:15:18:23		IF2*		ob
00:15:18:23 00:15:18:37
00:15:18:37 00:15:18:41		WE4		wir
00:15:18:41 00:15:19:00
00:15:19:00 00:15:19:31		GO-START4^*		ausflug
00:15:19:31 00:15:19:34
00:15:19:34 00:15:20:16		$ORAL^		fahren
00:15:20:16 00:15:20:34
00:15:20:34 00:15:20:46	To the Speyer Cathedral, for example.
00:15:20:46 00:15:21:09		IF2		ob
00:15:21:09 00:15:21:25
00:15:21:25 00:15:21:38			TO-PLACE1	nach
00:15:21:38 00:15:22:05
00:15:22:05 00:15:22:10		AWARD2^*		speyer
00:15:22:10 00:15:22:25
00:15:22:25 00:15:22:33		$LIST1:1of1d
00:15:22:33 00:15:22:48
00:15:22:48 00:15:23:11		SPIKY-AT-THE-TOP2A^		dom
00:15:23:11 00:15:23:22
00:15:23:22 00:15:23:49		TO-SHOW1A*		zeigen
00:15:23:49 00:15:24:49
00:15:24:49 00:15:25:07	And then I show them the technical museum next door.
00:15:25:07 00:15:25:15		$LIST1:2of2d		dann
00:15:25:15 00:15:25:25
00:15:25:25 00:15:25:49		NEXT-TO1B		nebenan
00:15:25:49 00:15:26:47
00:15:26:47 00:15:27:27		TECHNOLOGY1*		technisches museum
00:15:27:27 00:15:27:36
00:15:27:36 00:15:28:05		MUSEUM1
00:15:28:05 00:15:28:11
00:15:28:11 00:15:28:14		$GEST-OFF1^
00:15:28:14 00:15:30:03
00:15:30:03 00:15:30:23	The next day we continue.
00:15:30:23 00:15:30:33		$LIST1:3of3d		und dann
00:15:30:33 00:15:30:45
00:15:30:45 00:15:31:14		MORE1*		noch mehr
00:15:31:14 00:15:31:19
00:15:31:19 00:15:32:25		$LIST1:4of4d
00:15:32:25 00:15:32:41
00:15:32:41 00:15:33:00		ALSO1C*		auch
00:15:33:00 00:15:33:11
00:15:33:11 00:15:33:17		NAME1B^*		einen
00:15:33:17 00:15:33:26
00:15:33:26 00:15:33:32		DAY1A*		tag
00:15:33:32 00:15:33:40
00:15:33:40 00:15:34:12		LATER10*		später
00:15:34:12 00:15:35:17
00:15:35:17 00:15:35:24	If there are children in the group, I always suggest the high rope course in Haßloch.
00:15:35:24 00:15:35:31		BUT1^		wenn
00:15:35:31 00:15:35:45
00:15:35:45 00:15:36:20		FAMILY3*		familie
00:15:36:20 00:15:36:31
00:15:36:31 00:15:36:37		WITH1A*		mit
00:15:36:37 00:15:36:38
00:15:36:38 00:15:36:46		$ORAL^		enkelkinder
00:15:36:46 00:15:37:01
00:15:37:01 00:15:37:11		CHILD2
00:15:37:11 00:15:37:20
00:15:37:20 00:15:37:31		PRESENT-OR-HERE1		da
00:15:37:31 00:15:37:48
00:15:37:48 00:15:38:08		GOOD1*		auch
00:15:38:08 00:15:38:18
00:15:38:18 00:15:38:21		I2
00:15:38:21 00:15:38:25
00:15:38:25 00:15:38:46		PLAN2*		plan
00:15:38:46 00:15:39:13
00:15:39:13 00:15:39:22		ALSO1A*		auch
00:15:39:22 00:15:39:34
00:15:39:34 00:15:40:01		CAN2A*		könnte
00:15:40:01 00:15:40:22
00:15:40:22 00:15:40:35			TO-PLACE1	nach
00:15:40:35 00:15:41:06
00:15:41:06 00:15:41:13		$NAME		haßloch
00:15:41:13 00:15:41:41
00:15:41:41 00:15:41:46		$INDEX-ORAL1		hochseilpark
00:15:41:46 00:15:42:07
00:15:42:07 00:15:42:14		UNTIL1^
00:15:42:14 00:15:42:26
00:15:42:26 00:15:42:38		TO-TURN-TO-HOLD-ON1^*
00:15:42:38 00:15:43:44
00:15:43:44 00:15:44:33	That would be an option.
00:15:44:33 00:15:44:43		$GEST-OFF1^		[MG]
00:15:44:43 00:15:45:03
00:15:45:03 00:15:45:31		$ORAL^		könnte machen
00:15:45:31 00:15:45:43		$ORAL^		könnte machen					Asks about the technical museum.
00:15:45:43 00:15:46:08
00:15:46:08 00:15:51:09
00:15:51:09 00:15:51:10	Planes and ships/
00:15:51:10 00:15:51:28		$GEST-TO-PONDER1^*
00:15:51:28 00:15:51:43
00:15:51:43 00:15:52:06		AIRPLANE1*		flugzeug
00:15:52:06 00:15:52:16
00:15:52:16 00:15:52:24		$LIST1:3of3d
00:15:52:24 00:15:52:37									In Sinsheim? There are two.
00:15:52:37 00:15:53:05		SHIP1		sch{iff}
00:15:53:05 00:15:53:47
00:15:53:47 00:15:54:15
00:15:54:15 00:15:54:26	There is one in both cities.
00:15:54:26 00:15:54:31			$NUM-ONE-TO-TEN1A:2d	zwei
00:15:54:31 00:15:54:37
00:15:54:37 00:15:55:15		$INDEX1*
00:15:55:15 00:15:55:19		$INDEX1*			In Speyer, too.
00:15:55:19 00:15:55:28
00:15:55:28 00:15:55:31			$NUM-ONE-TO-TEN1A:2d
00:15:55:31 00:15:55:41						RIGHT-OR-AGREED1B*
00:15:55:41 00:15:56:07
00:15:56:07 00:15:57:09						AWARD2^*		stimmt speyer
00:15:57:09 00:15:57:28
00:15:57:28 00:15:57:37
00:15:57:37 00:15:57:47
00:15:57:47 00:15:58:08						ALSO3A*		auch
00:15:58:08 00:15:59:03
00:15:59:03 00:15:59:36									Right, there’s one in Speyer and another in Sinsheim.
00:15:59:36 00:16:00:12							AWARD2^*	speyer
00:16:00:12 00:16:01:13
00:16:01:13 00:16:03:24
00:16:03:24 00:16:03:40	Yes, exactly, there are two.
00:16:03:40 00:16:03:48			$NUM-ONE-TO-TEN1A:2d	zwei
00:16:03:48 00:16:04:18
00:16:04:18 00:16:05:16		$GEST-NM-NOD-HEAD1^*
00:16:05:16 00:16:06:05
00:16:06:05 00:16:06:13	I just talked about the fact that/
00:16:06:13 00:16:06:20		$GEST^*		eben
00:16:06:20 00:16:06:25
00:16:06:25 00:16:06:29		I2*
00:16:06:29 00:16:06:37
00:16:06:37 00:16:07:00		QUESTION1^*		gesagt
00:16:07:00 00:16:07:11
00:16:07:11 00:16:07:18					In Speyer, there’s also an aquarium where one can look at all the fish.
00:16:07:18 00:16:07:25		$LIST1:1of2d
00:16:07:25 00:16:07:29							AND1*	und
00:16:07:29 00:16:07:35
00:16:07:35 00:16:07:45							AWARD2^*	speyer
00:16:07:45 00:16:08:01
00:16:08:01 00:16:08:05
00:16:08:05 00:16:08:10							OFF1A^*	hat
00:16:08:10 00:16:08:13
00:16:08:13 00:16:08:20							ALSO3A*	auch
00:16:08:20 00:16:08:48
00:16:08:48 00:16:09:41							$ALPHA1:O*	aqua{rium}
00:16:09:41 00:16:10:08
00:16:10:08 00:16:10:27							TO-VISIT1	besichtigen
00:16:10:27 00:16:10:38
00:16:10:38 00:16:10:42						SPIKY-IN-FRONT1^*
00:16:10:42 00:16:10:47
00:16:10:47 00:16:11:18						FISH1*		fisch
00:16:11:18 00:16:11:31
00:16:11:31 00:16:11:42						$LIST1:3of3d*
00:16:11:42 00:16:12:02
00:16:12:02 00:16:12:24						TO-DIVE3		[MG]
00:16:12:24 00:16:12:27	The Sea Life, yes, Sea Life.					TO-DIVE3		[MG]
00:16:12:27 00:16:12:38
00:16:12:38 00:16:12:39							ROUND3A^*	??
00:16:12:39 00:16:13:18		ALPHABET1^*		sea life			ROUND3A^*	??
00:16:13:18 00:16:13:19
00:16:13:19 00:16:13:31						$GEST-NM-NOD-HEAD1^
00:16:13:31 00:16:13:33
00:16:13:33 00:16:13:40
00:16:13:40 00:16:14:01
00:16:14:01 00:16:14:11		$INDEX-ORAL1		sea life
00:16:14:11 00:16:14:25
00:16:14:25 00:16:15:06		ALPHABET1^*
00:16:15:06 00:16:15:15
00:16:15:15 00:16:15:20		$GEST-OFF1^
00:16:15:20 00:16:16:46
00:16:16:46 00:16:17:09
00:16:17:09 00:16:17:13	I’ve been to the Sea Life aquarium in Speyer that you just talked about before.
00:16:17:13 00:16:17:21		$ORAL^		auch
00:16:17:21 00:16:17:27			YOU1*	du
00:16:17:27 00:16:17:37
00:16:17:37 00:16:18:00		LANGUAGE1^		erzählt
00:16:18:00 00:16:18:13
00:16:18:13 00:16:18:18			$INDEX1	speyer
00:16:18:18 00:16:18:25
00:16:18:25 00:16:18:39		BODY3^
00:16:18:39 00:16:18:45
00:16:18:45 00:16:19:02		THERE-IS3*		gibt
00:16:19:02 00:16:19:08
00:16:19:08 00:16:19:19		ALSO1A*		auch
00:16:19:19 00:16:19:29
00:16:19:29 00:16:20:07		ALPHABET1^*		sea life
00:16:20:07 00:16:20:31
00:16:20:31 00:16:20:41		FISH2		fisch
00:16:20:41 00:16:21:08
00:16:21:08 00:16:22:16		$PROD*		aquarium
00:16:22:16 00:16:22:37
00:16:22:37 00:16:22:41			I1	ich war
00:16:22:41 00:16:23:00
00:16:23:00 00:16:23:05			ALREADY1A*	schon
00:16:23:05 00:16:23:16
00:16:23:16 00:16:23:24		THERE1		dort
00:16:23:24 00:16:24:18
00:16:24:18 00:16:24:33	But I was a bit disappointed by it.
00:16:24:33 00:16:24:45		I1		ich bin
00:16:24:45 00:16:25:12
00:16:25:12 00:16:25:39		STH-OR-SLIGHTLY3A		etwas
00:16:25:39 00:16:26:31
00:16:26:31 00:16:26:39		DISAPPOINTED6*		enttäuscht
00:16:26:39 00:16:26:40
00:16:26:40 00:16:27:00		I1
00:16:27:00 00:16:28:05
00:16:28:05 00:16:28:16	It was a little too small.
00:16:28:16 00:16:28:27		BECAUSE1		weil
00:16:28:27 00:16:30:12
00:16:30:12 00:16:30:19		STH-OR-SLIGHTLY3B		etwas
00:16:30:19 00:16:30:32
00:16:30:32 00:16:30:39		SMALL6		zu klein
00:16:30:39 00:16:30:47
00:16:30:47 00:16:31:33			$INDEX1*
00:16:31:33 00:16:31:42
00:16:31:42 00:16:31:46	A long time ago, I went to the Lake Constance.
00:16:31:46 00:16:32:28		I1*		ich war
00:16:32:28 00:16:32:40
00:16:32:40 00:16:33:03		ALREADY1A		schon
00:16:33:03 00:16:33:14
00:16:33:14 00:16:33:42		TIMES3*		einmal
00:16:33:42 00:16:34:05
00:16:34:05 00:16:34:13		ALREADY1A		schon lange
00:16:34:13 00:16:34:15
00:16:34:15 00:16:34:45		BEFORE1H^
00:16:34:45 00:16:35:11
00:16:35:11 00:16:35:38		$INDEX1
00:16:35:38 00:16:35:48
00:16:35:48 00:16:36:03		ON-OR-AT1*		am
00:16:36:03 00:16:36:11
00:16:36:11 00:16:36:25		LAKE-CONSTANCE1		bodensee
00:16:36:25 00:16:36:33
00:16:36:33 00:16:36:41		AGAINST2^
00:16:36:41 00:16:37:06
00:16:37:06 00:16:37:23	In Constance, a new Sea Life had just been opened.
00:16:37:23 00:16:38:03		CONSTANCE-$CANDIDATE-FRA38^		konstanz
00:16:38:03 00:16:38:12
00:16:38:12 00:16:38:47		$INDEX1*
00:16:38:47 00:16:39:11
00:16:39:11 00:16:39:20		THERE1		dort
00:16:39:20 00:16:39:30
00:16:39:30 00:16:39:38		ALREADY1A		schon
00:16:39:38 00:16:39:48
00:16:39:48 00:16:40:16		WAS1		war
00:16:40:16 00:16:40:29
00:16:40:29 00:16:40:38		BUT1		aber
00:16:40:38 00:16:41:00
00:16:41:00 00:16:41:16		OPENING1		eröff{nung}
00:16:41:16 00:16:41:22
00:16:41:22 00:16:41:27		I2
00:16:41:27 00:16:41:35
00:16:41:35 00:16:42:12		TO-JOIN1^*		[MG]
00:16:42:12 00:16:42:17
00:16:42:17 00:16:42:21	That was significantly bigger than the one in Speyer.
00:16:42:21 00:16:42:26		$CUED-SPEECH*
00:16:42:26 00:16:42:30
00:16:42:30 00:16:42:38		VERY7^*		[MG]
00:16:42:38 00:16:43:01
00:16:43:01 00:16:43:30		BIG3B		größer
00:16:43:30 00:16:44:01
00:16:44:01 00:16:44:10			AS3	als
00:16:44:10 00:16:44:23
00:16:44:23 00:16:44:30			$INDEX1	speyer
00:16:44:30 00:16:46:05
00:16:46:05 00:16:47:03
00:16:47:03 00:16:47:29					Of course they would’ve liked the one in Speyer to be bigger, but it’s also a question of funding.
00:16:47:29 00:16:47:34							$INDEX1
00:16:47:34 00:16:47:35
00:16:47:35 00:16:48:05							ALWAYS5A*	immer
00:16:48:05 00:16:48:19
00:16:48:19 00:16:48:27							CLEAR1A*	klar
00:16:48:27 00:16:48:38
00:16:48:38 00:16:49:01							$INDEX1
00:16:49:01 00:16:49:10
00:16:49:10 00:16:49:29							AWARD2^*	speyer
00:16:49:29 00:16:50:04
00:16:50:04 00:16:50:08							$INDEX1
00:16:50:08 00:16:50:16
00:16:50:16 00:16:50:25						BEFORE1G		vorher
00:16:50:25 00:16:50:35
00:16:50:35 00:16:51:01							$INDEX1
00:16:51:01 00:16:51:11
00:16:51:11 00:16:51:26						TO-FOUND2*		[MG]
00:16:51:26 00:16:51:35
00:16:51:35 00:16:52:03						AREA1A^*
00:16:52:03 00:16:52:13
00:16:52:13 00:16:52:28							TO-LIKE4*	möchte
00:16:52:28 00:16:52:32
00:16:52:32 00:16:52:40							GLADLY1*	gern
00:16:52:40 00:16:53:00
00:16:53:00 00:16:53:24						BIG3B		groß
00:16:53:24 00:16:53:36
00:16:53:36 00:16:53:48						$ORAL^		aber
00:16:53:48 00:16:54:01
00:16:54:01 00:16:55:32						EXPENSIVE2A*
00:16:55:32 00:16:55:44
00:16:55:44 00:16:56:05					The Sea Life is sponsored through public sector entities that have very little money themselves.
00:16:56:05 00:16:56:15							THE1	das wird
00:16:56:15 00:16:56:28
00:16:56:28 00:16:56:32						$GEST-OFF1^
00:16:56:32 00:16:56:47
00:16:56:47 00:16:57:11						TO-CARRY1*		getragen
00:16:57:11 00:16:57:27
00:16:57:27 00:16:57:47						TO-OPEN4^		öffentlich
00:16:57:47 00:16:58:05
00:16:58:05 00:16:58:29							ATTENTION1A^*	stellen
00:16:58:29 00:16:58:47
00:16:58:47 00:16:59:18						TO-OPEN4^		öffen{tliche} stellen
00:16:59:18 00:16:59:24
00:16:59:24 00:16:59:31						$INDEX1*
00:16:59:31 00:16:59:49
00:16:59:49 00:17:00:06							SELF1A*	selbst
00:17:00:06 00:17:00:13
00:17:00:13 00:17:00:34						TO-ORGANISE1		organisieren
00:17:00:34 00:17:00:47
00:17:00:47 00:17:01:03					One of the disadvantages of Rhineland Palatinate is it being a recipient state.
00:17:01:03 00:17:01:07						$GEST-OFF1^		[MG]
00:17:01:07 00:17:01:22
00:17:01:22 00:17:01:33						CLEAR1A		klar
00:17:01:33 00:17:02:10
00:17:02:10 00:17:02:18							ATTENTION1A^*	[MG]
00:17:02:18 00:17:02:35
00:17:02:35 00:17:04:01							AREA1A^*	rheinland-pfalz
00:17:04:01 00:17:04:20
00:17:04:20 00:17:04:40							UNFORTUNATELY1A*	leider
00:17:04:40 00:17:05:37
00:17:05:37 00:17:06:08						TO-TAKE1A		nehmerland
00:17:06:08 00:17:06:20
00:17:06:20 00:17:07:24							AREA1A^*
00:17:07:24 00:17:07:25
00:17:07:25 00:17:07:40					That means, there are rich federal states like Bavaria, Baden Wuerttemberg or Hesse.
00:17:07:40 00:17:08:04							TO-BE-CALLED1B*	heißt
00:17:08:04 00:17:08:48
00:17:08:48 00:17:09:14						AREA1A^*
00:17:09:14 00:17:09:27
00:17:09:27 00:17:09:43						VALUE1B^		reich
00:17:09:43 00:17:10:12
00:17:10:12 00:17:10:43						AREA1A^*		bundesländer
00:17:10:43 00:17:11:15
00:17:11:15 00:17:11:36						EXAMPLE1		wie
00:17:11:36 00:17:12:01
00:17:12:01 00:17:12:09						$LIST1:1of1d
00:17:12:09 00:17:12:21
00:17:12:21 00:17:12:44						BAVARIA1*		bayern
00:17:12:44 00:17:13:01
00:17:13:01 00:17:13:21						$LIST1:1of1d
00:17:13:21 00:17:13:45
00:17:13:45 00:17:14:02						$LIST1:2of2d
00:17:14:02 00:17:14:10
00:17:14:10 00:17:14:22						TO-BATH2*
00:17:14:22 00:17:14:33
00:17:14:33 00:17:15:24						$INDEX1*
00:17:15:24 00:17:15:31
00:17:15:31 00:17:16:14						$$EXTRA-LING-ACT^
00:17:16:14 00:17:16:34
00:17:16:34 00:17:16:49						TO-BATH2*		baden württemberg
00:17:16:49 00:17:17:06
00:17:17:06 00:17:17:18							$INDEX1
00:17:17:18 00:17:17:42
00:17:17:42 00:17:18:00						$LIST1:3of3d
00:17:18:00 00:17:18:15
00:17:18:15 00:17:18:27						HESSE1A*		hessen
00:17:18:27 00:17:18:32
00:17:18:32 00:17:19:00						HERE1*
00:17:19:00 00:17:19:16
00:17:19:16 00:17:20:06						$NUM-ONE-TO-TEN1A:3d	ROUND3A^
00:17:20:06 00:17:20:22
00:17:20:22 00:17:20:29						RICH7*		reich
00:17:20:29 00:17:20:43
00:17:20:43 00:17:21:33						$LIST-TOGETHER1C:1-3of3d
00:17:21:33 00:17:21:38
00:17:21:38 00:17:21:43					They have to pay compensations to poorer states.
00:17:21:43 00:17:22:06						$INDEX1*		die
00:17:22:06 00:17:22:13
00:17:22:13 00:17:22:22							MUST1	müssen
00:17:22:22 00:17:22:30
00:17:22:30 00:17:23:02						COMPENSATION2		ausgleichszahlung
00:17:23:02 00:17:23:11
00:17:23:11 00:17:23:20							TO-PAY8B
00:17:23:20 00:17:23:28
00:17:23:28 00:17:23:37							ON-OBJECT1*	auf
00:17:23:37 00:17:24:00
00:17:24:00 00:17:24:08							ARM1A^	arme
00:17:24:08 00:17:24:17
00:17:24:17 00:17:24:25							COUNTRY1A	länder
00:17:24:25 00:17:24:30
00:17:24:30 00:17:26:24							TO-PAY2*
00:17:26:24 00:17:26:33
00:17:26:33 00:17:26:43						$GEST-OFF1^
00:17:26:43 00:17:27:00
00:17:27:00 00:17:27:14					Rhineland-Palatinate is also dependent on it because there’s too little economy there.
00:17:27:14 00:17:27:21							AREA1A^*	rheinland-pfalz
00:17:27:21 00:17:27:37
00:17:27:37 00:17:27:47							ALSO3A*	auch
00:17:27:47 00:17:28:03
00:17:28:03 00:17:28:17							DEPENDENT5A*	abhängig
00:17:28:17 00:17:28:27
00:17:28:27 00:17:28:35						$INDEX1	AREA1A^
00:17:28:35 00:17:28:45
00:17:28:45 00:17:29:06							BECAUSE1*	weil
00:17:29:06 00:17:29:14
00:17:29:14 00:17:29:31						ECONOMY1B		wirtschaft
00:17:29:31 00:17:30:01
00:17:30:01 00:17:30:14							WATER3B^	zu wenig
00:17:30:14 00:17:30:21
00:17:30:21 00:17:31:38							AREA1A^
00:17:31:38 00:17:31:42
00:17:31:42 00:17:31:49					For example, here, there’s only Ludwigshafen close by.
00:17:31:49 00:17:32:09						HERE1*
00:17:32:09 00:17:32:23
00:17:32:23 00:17:32:30							ONLY4	nur
00:17:32:30 00:17:33:02
00:17:33:02 00:17:33:13						TIGHT3*		enger
00:17:33:13 00:17:33:29
00:17:33:29 00:17:33:38						TIGHT1
00:17:33:38 00:17:34:07
00:17:34:07 00:17:34:22						BORDER1B		grenze
00:17:34:22 00:17:35:03
00:17:35:03 00:17:35:08						LIKE1A*		wie
00:17:35:08 00:17:35:14
00:17:35:14 00:17:35:43							AREA1A^	ludwigshafen
00:17:35:43 00:17:36:01
00:17:36:01 00:17:36:28						EXAMPLE2		beispielsweise
00:17:36:28 00:17:36:37
00:17:36:37 00:17:36:47						$GEST-OFF1^
00:17:36:47 00:17:37:40
00:17:37:40 00:17:38:11					That’s why we can’t do as much as others.
00:17:38:11 00:17:38:14						$GEST-OFF1^		deswegen
00:17:38:14 00:17:38:30
00:17:38:30 00:17:38:35							WE3
00:17:38:35 00:17:38:38
00:17:38:38 00:17:38:46							I2^*
00:17:38:46 00:17:38:47
00:17:38:47 00:17:39:06							I2^*
00:17:39:06 00:17:39:13
00:17:39:13 00:17:39:20						CAN2A^
00:17:39:20 00:17:39:28
00:17:39:28 00:17:39:37							NOT3A*	nicht
00:17:39:37 00:17:39:45
00:17:39:45 00:17:40:11						BIG3C		groß
00:17:40:11 00:17:40:21
00:17:40:21 00:17:40:35						TO-MAKE1		machen
00:17:40:35 00:17:40:39
00:17:40:39 00:17:40:42							ATTENTION1A^*	wie
00:17:40:42 00:17:40:46
00:17:40:46 00:17:41:09						DIFFERENT2		andere
00:17:41:09 00:17:41:11
00:17:41:11 00:17:41:32							AREA1A^
00:17:41:32 00:17:42:19
00:17:42:19 00:17:43:23
00:17:43:23 00:17:43:38					When I hang out with friends privately, we have cookouts together in the summer.
00:17:43:38 00:17:43:41						$GEST-ATTENTION1^*		und
00:17:43:41 00:17:43:43
00:17:43:43 00:17:43:46						ATTENTION1A^*
00:17:43:46 00:17:44:03
00:17:44:03 00:17:44:24						SELF1A*		selbst
00:17:44:24 00:17:45:13
00:17:45:13 00:17:45:19							I1*
00:17:45:19 00:17:45:25
00:17:45:25 00:17:45:37							PRIVATE2B	privat
00:17:45:37 00:17:45:42
00:17:45:42 00:17:45:47						$GEST-OFF1^*
00:17:45:47 00:17:46:23
00:17:46:23 00:17:46:31						MOST1B*		meist{ens}
00:17:46:31 00:17:46:41
00:17:46:41 00:17:46:47							PRIVATE2B*	privat
00:17:46:47 00:17:47:05
00:17:47:05 00:17:47:12						TO-SHAKE-HANDS3^*
00:17:47:12 00:17:47:24
00:17:47:24 00:17:47:28							ALL1B^	freunde
00:17:47:28 00:17:47:30
00:17:47:30 00:17:47:36							TOGETHER3A*
00:17:47:36 00:17:48:01
00:17:48:01 00:17:48:12						TO-BARBECUE1A*
00:17:48:12 00:17:48:24
00:17:48:24 00:17:48:30							SUMMER9*	sommer
00:17:48:30 00:17:48:40
00:17:48:40 00:17:48:48						TO-BARBECUE1A*		grillen
00:17:48:48 00:17:49:02
00:17:49:02 00:17:49:21						ALL2C^*
00:17:49:21 00:17:49:25
00:17:49:25 00:17:49:29							PRIVATE2B*	privat
00:17:49:29 00:17:49:33
00:17:49:33 00:17:49:39						$LIST1:1of1d*
00:17:49:39 00:17:50:31
00:17:50:31 00:17:50:37					There are also club parties where one celebrates and barbecues together.
00:17:50:37 00:17:50:45						$ORAL^		ob{wohl}
00:17:50:45 00:17:50:47
00:17:50:47 00:17:51:05						SOMETIMES2		manchmal
00:17:51:05 00:17:51:28
00:17:51:28 00:17:51:47						CLUB-OR-SOCIETY2A		verein
00:17:51:47 00:17:52:10
00:17:52:10 00:17:52:24						EVENT2*		veranstaltung
00:17:52:24 00:17:53:21
00:17:53:21 00:17:53:29						ALSO3B*		auch
00:17:53:29 00:17:53:42
00:17:53:42 00:17:54:02						TO-BARBECUE1A*		grillen
00:17:54:02 00:17:54:20
00:17:54:20 00:17:54:26						SMALL2*		kleine
00:17:54:26 00:17:54:33
00:17:54:33 00:17:55:04						PARTY1A		party
00:17:55:04 00:17:55:16
00:17:55:16 00:17:55:23						$LIST1:3of3d
00:17:55:23 00:17:56:01
00:17:56:01 00:17:56:19					In the winter season, starting in November, there are annually changing events.
00:17:56:19 00:17:56:35						WINTER1		winterzeit
00:17:56:35 00:17:56:42
00:17:56:42 00:17:57:11							TIME7C*
00:17:57:11 00:17:57:25
00:17:57:25 00:17:57:34							$ALPHA1:N*	november
00:17:57:34 00:17:57:41
00:17:57:41 00:17:58:15						PERIOD-OF-TIME1A*
00:17:58:15 00:17:58:32
00:17:58:32 00:17:59:00						SOMETIMES1*		manchmal
00:17:59:00 00:17:59:20
00:17:59:20 00:17:59:30						$GEST-OFF1^
00:17:59:30 00:17:59:32
00:17:59:32 00:17:59:45						$GEST-I-DONT-KNOW1^		[MG]
00:17:59:45 00:18:00:32
00:18:00:32 00:18:01:00						TO-SWAP3B		wechsel
00:18:01:00 00:18:01:04
00:18:01:04 00:18:01:39							YEAR1B*	jahr
00:18:01:39 00:18:01:48
00:18:01:48 00:18:02:06						$GEST-I-DONT-KNOW1^		[MG]
00:18:02:06 00:18:02:10
00:18:02:10 00:18:02:27					Like a white, no, red and white party, for example.
00:18:02:27 00:18:03:13						EXAMPLE2		zum beispiel
00:18:03:13 00:18:04:13
00:18:04:13 00:18:04:32							WHITE9^	rot
00:18:04:32 00:18:05:04
00:18:05:04 00:18:05:15							RED1A	rot
00:18:05:15 00:18:05:21
00:18:05:21 00:18:05:32							WHITE9	weiß
00:18:05:32 00:18:05:45
00:18:05:45 00:18:06:02						PARTY1A*		party
00:18:06:02 00:18:06:08
00:18:06:08 00:18:06:12						$LIST1:1of1d
00:18:06:12 00:18:06:34
00:18:06:34 00:18:07:04					Or an angels and devils party.
00:18:07:04 00:18:07:38						OR6B*		oder
00:18:07:38 00:18:08:30
00:18:08:30 00:18:08:39						ANGEL1		engel
00:18:08:39 00:18:08:45
00:18:08:45 00:18:09:05							AND1*	und
00:18:09:05 00:18:09:33
00:18:09:33 00:18:09:43						DEVIL2*		teufel
00:18:09:43 00:18:10:08
00:18:10:08 00:18:10:22						PARTY1A		party
00:18:10:22 00:18:10:33
00:18:10:33 00:18:10:44						$LIST1:2of2d
00:18:10:44 00:18:10:46
00:18:10:46 00:18:11:18					And other costume parties.
00:18:11:18 00:18:11:32						OR1*		oder
00:18:11:32 00:18:12:10
00:18:12:10 00:18:12:18						LIKE-THIS1B*		so
00:18:12:18 00:18:12:34
00:18:12:34 00:18:12:39						WITH1A*		mit
00:18:12:39 00:18:12:47
00:18:12:47 00:18:13:29						BODY1^		verkleidung
00:18:13:29 00:18:14:22
00:18:14:22 00:18:14:27						$LIST1:3of3d
00:18:14:27 00:18:14:38
00:18:14:38 00:18:15:01						$GEST-I-DONT-KNOW1^*		[MG]
00:18:15:01 00:18:15:13
00:18:15:13 00:18:15:22					I also go on hikes with friends.
00:18:15:22 00:18:15:30							BUT1*	aber
00:18:15:30 00:18:15:47
00:18:15:47 00:18:16:03							ALSO1A*	auch
00:18:16:03 00:18:16:11
00:18:16:11 00:18:16:23							PRIVATE2B	privat
00:18:16:23 00:18:16:34
00:18:16:34 00:18:17:01						TO-HIKE2*		wanderung
00:18:17:01 00:18:17:14
00:18:17:14 00:18:17:26							AREA1A^
00:18:17:26 00:18:17:32
00:18:17:32 00:18:17:45						TO-PRAY1A^		freunde
00:18:17:45 00:18:18:02
00:18:18:02 00:18:18:15							AREA1A^
00:18:18:15 00:18:18:36
00:18:18:36 00:18:19:00					Or one just meets up casually to drink and chat.
00:18:19:00 00:18:19:08							SOMETIMES1*	manchmal
00:18:19:08 00:18:19:30
00:18:19:30 00:18:19:39						WITHOUT2		ohne
00:18:19:39 00:18:20:06
00:18:20:06 00:18:20:20						REASON4A		grund
00:18:20:20 00:18:20:30
00:18:20:30 00:18:20:41						$ORAL^		nur
00:18:20:41 00:18:20:43
00:18:20:43 00:18:21:14						TO-MEET1*		treffen
00:18:21:14 00:18:21:44
00:18:21:44 00:18:22:07						TALK2A		unterhalten
00:18:22:07 00:18:22:34
00:18:22:34 00:18:22:44							TO-DRINK1	trinken
00:18:22:44 00:18:23:14
00:18:23:14 00:18:23:22						$GEST-OFF1^
00:18:23:22 00:18:23:30
00:18:23:30 00:18:24:02					But at the moment I have so many invitations from friends, for birthdays, for example, it’s a real back and forth with the visits.
00:18:24:02 00:18:24:12							BUT1*	aber
00:18:24:12 00:18:24:20
00:18:24:20 00:18:24:34							IN1*	im moment
00:18:24:34 00:18:24:46
00:18:24:46 00:18:25:10						TIME7A*		zeit
00:18:25:10 00:18:25:28
00:18:25:28 00:18:25:33							MUCH4	viel
00:18:25:33 00:18:25:40
00:18:25:40 00:18:26:16							PRESENT-OR-HERE1*	da da da
00:18:26:16 00:18:26:29
00:18:26:29 00:18:28:39						TO-INVITE2*		einladung einladung einladung einladung
00:18:28:39 00:18:29:17
00:18:29:17 00:18:29:27						BIRTHDAY20A		geburtstag
00:18:29:27 00:18:29:45
00:18:29:45 00:18:30:36						TO-INVITE2*		einladung einladung
00:18:30:36 00:18:31:00
00:18:31:00 00:18:31:12							BACK1A*	zurück
00:18:31:12 00:18:31:47						TO-SWAP3B*		abwechseld
00:18:31:47 00:18:32:08
00:18:32:08 00:18:32:16						$GEST-OFF1^
00:18:32:16 00:18:32:34
00:18:32:34 00:18:33:00					I have invited friends over before and cooked for them.
00:18:33:00 00:18:33:03							ONCE1A*	einmal
00:18:33:03 00:18:33:10
00:18:33:10 00:18:33:21							I1*
00:18:33:21 00:18:33:34
00:18:33:34 00:18:33:47						FRIEND3		freunde
00:18:33:47 00:18:34:13
00:18:34:13 00:18:34:27						TO-INVITE2*		einladen
00:18:34:27 00:18:35:12
00:18:35:12 00:18:35:22							ONCE1A	einmal
00:18:35:22 00:18:35:34
00:18:35:34 00:18:35:42							SELF1A*	selbst
00:18:35:42 00:18:36:07
00:18:36:07 00:18:37:02							TO-COOK1*	gekocht
00:18:37:02 00:18:37:22
00:18:37:22 00:18:37:39					All my friends tell me I should be a chef.
00:18:37:39 00:18:38:10						ALL2C*		alle
00:18:38:10 00:18:38:20
00:18:38:20 00:18:38:26							TO-SAY1*	sagen
00:18:38:26 00:18:38:33
00:18:38:33 00:18:38:46						ALWAYS4A		immer
00:18:38:46 00:18:39:11
00:18:39:11 00:18:39:16							I1	ich
00:18:39:16 00:18:39:23
00:18:39:23 00:18:39:32							SHOULD1	soll
00:18:39:32 00:18:39:44
00:18:39:44 00:18:40:04							BOSS1B	chefkoch
00:18:40:04 00:18:40:19
00:18:40:19 00:18:41:19						$PROD*
00:18:41:19 00:18:42:03
00:18:42:03 00:18:42:15					Because I had cooked so well for them.
00:18:42:15 00:18:42:20							BECAUSE1	weil
00:18:42:20 00:18:42:26
00:18:42:26 00:18:42:29							I1	ich
00:18:42:29 00:18:42:38
00:18:42:38 00:18:42:48						GOOD3*		sehr gut
00:18:42:48 00:18:43:14
00:18:43:14 00:18:43:23							TO-COOK1*	koche
00:18:43:23 00:18:43:34
00:18:43:34 00:18:43:48					There are also some women that say men are the better chefs.
00:18:43:48 00:18:44:09						$GEST-I-DONT-KNOW1^
00:18:44:09 00:18:44:45
00:18:44:45 00:18:44:49							I1*
00:18:44:49 00:18:45:05
00:18:45:05 00:18:45:07							$INDEX1
00:18:45:07 00:18:45:22
00:18:45:22 00:18:45:29						THERE-IS3		gibt
00:18:45:29 00:18:45:45
00:18:45:45 00:18:46:10							ALL2A	viele
00:18:46:10 00:18:46:22
00:18:46:22 00:18:46:34							WOMAN1A	frauen
00:18:46:34 00:18:46:44
00:18:46:44 00:18:47:06							TO-SAY3*	sagen
00:18:47:06 00:18:47:27
00:18:47:27 00:18:47:38							MAN3A	männer
00:18:47:38 00:18:47:46
00:18:47:46 00:18:48:01							GOOD1	gut
00:18:48:01 00:18:48:10
00:18:48:10 00:18:48:18							TO-COOK1*	kochen
00:18:48:18 00:18:48:31
00:18:48:31 00:18:48:37							AS3	als
00:18:48:37 00:18:48:48
00:18:48:48 00:18:49:06							WOMAN1A	frauen
00:18:49:06 00:18:49:11
00:18:49:11 00:18:49:18							SELF1A*	selbst
00:18:49:18 00:18:49:39
00:18:49:39 00:18:50:03						$GEST-I-DONT-KNOW1^		[MG]
00:18:50:03 00:18:50:18
00:18:50:18 00:18:50:30	Just like me. I can cook well, too.
00:18:50:30 00:18:51:00		EQUAL1A*		gleiche wie
00:18:51:00 00:18:51:09
00:18:51:09 00:18:51:15			I1	ich
00:18:51:15 00:18:51:28
00:18:51:28 00:18:51:43		$ORAL^		auch
00:18:51:43 00:18:52:32
00:18:52:32 00:18:53:01		EQUAL1A^		genau
00:18:53:01 00:18:53:10
00:18:53:10 00:18:53:19			I1	wie ich
00:18:53:19 00:18:53:40
00:18:53:40 00:18:53:42			GOOD1*	gut
00:18:53:42 00:18:53:49
00:18:53:49 00:18:54:03			TO-COOK1*	kochen
00:18:54:03 00:18:54:29

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