1179224 (hh08): Heimatregion

Themen Gesellschaft: Demografischer Wandel; Politik: Demografischer Wandel; Stadt und Land: Hamburg

Time	Translation	Lexem/Gebärde		Mouth	Translation	Lexeme/Sign		Mouth	Moderator
		right hand	left hand			right hand	left hand
00:00:00:00 00:00:00:28
00:00:00:28 00:00:00:47					What’s typical of Hamburg is the fish.
00:00:00:47 00:00:01:04						HAMBURG1*		hamburg
00:00:01:04 00:00:01:07
00:00:01:07 00:00:01:19						TYPICAL1		typisch
00:00:01:19 00:00:01:38
00:00:01:38 00:00:02:05						FISH1*		fisch
00:00:02:05 00:00:02:18
00:00:02:18 00:00:02:26					People going to the fish market in the morning is quite a famous thing.
00:00:02:26 00:00:02:34						MORNING3A*		morgen{s}
00:00:02:34 00:00:03:04
00:00:03:04 00:00:03:09						FISH1*		fischmarkt
00:00:03:09 00:00:03:21
00:00:03:21 00:00:03:34						MARKET4*
00:00:03:34 00:00:03:49
00:00:03:49 00:00:04:12						WELL-KNOWN1A		bekannt
00:00:04:12 00:00:04:23
00:00:04:23 00:00:04:30						$INDEX2
00:00:04:30 00:00:04:38
00:00:04:38 00:00:04:46					I mean, you know Hamburg!
00:00:04:46 00:00:04:48	So, that’s your hometown?
00:00:04:48 00:00:05:02						YOU1*		du
00:00:05:02 00:00:05:06
00:00:05:06 00:00:05:11						TO-KNOW-STH-OR-SB1B*		kenn
00:00:05:11 00:00:05:14		YOUR1		dein
00:00:05:14 00:00:05:16
00:00:05:16 00:00:05:20
00:00:05:20 00:00:05:28		HOMELAND2*		heimat		$INDEX1		hamburg
00:00:05:28 00:00:05:34
00:00:05:34 00:00:05:41
00:00:05:41 00:00:06:13
00:00:06:13 00:00:06:18
00:00:06:18 00:00:06:26	Yes, part of Hamburg, my hometown, is the fish market.				It’s yours as well!
00:00:06:26 00:00:06:46						EQUAL8*		[MG]
00:00:06:46 00:00:07:03		$GEST-NM-NOD-HEAD1^		sti{mmt}
00:00:07:03 00:00:07:06
00:00:07:06 00:00:07:08		$$EXTRA-LING-ACT^
00:00:07:08 00:00:07:16					Old/
00:00:07:16 00:00:07:21
00:00:07:21 00:00:07:25		HAMBURG1*		hamburg
00:00:07:25 00:00:07:30						OLD5A	a{lt}
00:00:07:30 00:00:07:36
00:00:07:36 00:00:07:38		HOMELAND2		heimat
00:00:07:38 00:00:07:48
00:00:07:48 00:00:08:08
00:00:08:08 00:00:08:22		FISH2*		fischmarkt
00:00:08:22 00:00:08:27						$GEST-ATTENTION1^
00:00:08:27 00:00:08:29		$GEST-OFF1^
00:00:08:29 00:00:08:34
00:00:08:34 00:00:08:48		$GEST-NM-NOD-HEAD1^				$$EXTRA-LING-ACT^
00:00:08:48 00:00:09:18
00:00:09:18 00:00:09:22					So, Hamburg is known for its fish market.
00:00:09:22 00:00:09:31						FISH2*		fischmarkt
00:00:09:31 00:00:09:41
00:00:09:41 00:00:09:49						MARKET4*
00:00:09:49 00:00:10:15
00:00:10:15 00:00:10:26						WELL-KNOWN1A		bekannt
00:00:10:26 00:00:10:37
00:00:10:37 00:00:10:46						HAMBURG1*		hamburg
00:00:10:46 00:00:11:01
00:00:11:01 00:00:11:05						$INDEX1
00:00:11:05 00:00:11:16
00:00:11:16 00:00:11:27					Hamburg is also known for its St. Michael’s church.
00:00:11:27 00:00:11:32						OR1*		o{der}
00:00:11:32 00:00:11:39
00:00:11:39 00:00:12:06						$LIST1:2of2d
00:00:12:06 00:00:12:28
00:00:12:28 00:00:12:40						$ALPHA1:S*		sankt michel
00:00:12:40 00:00:12:49
00:00:12:49 00:00:13:02						$ALPHA1:M
00:00:13:02 00:00:13:12
00:00:13:12 00:00:14:03						ROUND-LONG4^
00:00:14:03 00:00:14:19
00:00:14:19 00:00:14:28						WELL-KNOWN1A		bekannt
00:00:14:28 00:00:14:32
00:00:14:32 00:00:14:49						$INDEX1		hamburg
00:00:14:49 00:00:15:10
00:00:15:10 00:00:15:15					Tourists like to visit it.
00:00:15:15 00:00:15:27						POPULAR1		beliebt
00:00:15:27 00:00:15:39
00:00:15:39 00:00:15:43						TO-LOOK-AT5*
00:00:15:43 00:00:16:00
00:00:16:00 00:00:16:09						TOURIST1*		tourist
00:00:16:09 00:00:16:22
00:00:16:22 00:00:17:05						TO-LOOK-AT5
00:00:17:05 00:00:17:11
00:00:17:11 00:00:17:22					The TV tower and the Reeperbahn are also very famous.
00:00:17:22 00:00:17:41						TOWER1*		f{ernsehturm}
00:00:17:41 00:00:18:03
00:00:18:03 00:00:18:05						TO-SEE1*		fernsehturm
00:00:18:05 00:00:18:08
00:00:18:08 00:00:18:13						$CUED-SPEECH:N2
00:00:18:13 00:00:18:25
00:00:18:25 00:00:18:36						TOWER1
00:00:18:36 00:00:18:40
00:00:18:40 00:00:19:18						TO-LOOK-AT3*
00:00:19:18 00:00:19:31
00:00:19:31 00:00:20:05						REEPERBAHN1		reeperbahn
00:00:20:05 00:00:20:18
00:00:20:18 00:00:21:06						VERY-GOOD1A*
00:00:21:06 00:00:21:15
00:00:21:15 00:00:21:37						WELL-KNOWN3C*		bekannt
00:00:21:37 00:00:22:04
00:00:22:04 00:00:22:08					Most deaf people who visit me usually want to see the Reeperbahn.
00:00:22:08 00:00:22:14						MOST1B		meist
00:00:22:14 00:00:22:32
00:00:22:32 00:00:22:41						DEAF1A
00:00:22:41 00:00:22:48
00:00:22:48 00:00:23:10							TO-VISIT-OR-TO-ATTEND1B*
00:00:23:10 00:00:23:17
00:00:23:17 00:00:23:25						WHAT1B		was
00:00:23:25 00:00:23:35
00:00:23:35 00:00:23:43						TO-WISH1B		wünsch
00:00:23:43 00:00:24:00
00:00:24:00 00:00:24:08						AIM4		ziel
00:00:24:08 00:00:24:12
00:00:24:12 00:00:24:17						WHAT1A*		was
00:00:24:17 00:00:24:25
00:00:24:25 00:00:24:44						REEPERBAHN1		reeperbahn
00:00:24:44 00:00:25:01
00:00:25:01 00:00:25:33						TYPICAL1*		typisch
00:00:25:33 00:00:25:48
00:00:25:48 00:00:26:06					Of course the fish market is interesting.
00:00:26:06 00:00:26:39						$LIST1:2of2d
00:00:26:39 00:00:27:42
00:00:27:42 00:00:27:48						CLEAR1A*		klar
00:00:27:48 00:00:28:06
00:00:28:06 00:00:28:14						FISH1*		fischmarkt
00:00:28:14 00:00:28:24
00:00:28:24 00:00:28:34						MARKET4*
00:00:28:34 00:00:29:08
00:00:29:08 00:00:29:14						BEAUTIFUL1A*
00:00:29:14 00:00:29:18
00:00:29:18 00:00:29:40						INTEREST1B*		interessant
00:00:29:40 00:00:30:09
00:00:30:09 00:00:30:28					What else do we have?
00:00:30:28 00:00:31:24						$LIST1:3of3d
00:00:31:24 00:00:31:44
00:00:31:44 00:00:32:12	Samuel Heinicke.
00:00:32:12 00:00:33:03			MASK3^*	samuel heinicke
00:00:33:03 00:00:33:48
00:00:33:48 00:00:33:49
00:00:33:49 00:00:34:25					Pardon, what?	$GEST-NM-NOD-HEAD1^		wie bitte
00:00:34:25 00:00:34:48	The head of Samuel Heinicke. That’s also something well known in Hamburg, the Samuel Heinicke bust.
00:00:34:48 00:00:35:05		FACE1*		samuel heinicke
00:00:35:05 00:00:35:15
00:00:35:15 00:00:35:42			MASK3^
00:00:35:42 00:00:36:04
00:00:36:04 00:00:36:09		$INDEX-ORAL1		hamburg
00:00:36:09 00:00:36:14
00:00:36:14 00:00:36:21		WELL-KNOWN1A		bekannt
00:00:36:21 00:00:36:35
00:00:36:35 00:00:36:45			MUSEUM1*	museum
00:00:36:45 00:00:37:07
00:00:37:07 00:00:37:18		ROUND-LONG4^
00:00:37:18 00:00:37:22
00:00:37:22 00:00:37:26			TO-THINK1B	denkmal
00:00:37:26 00:00:37:40
00:00:37:40 00:00:37:48		$PROD
00:00:37:48 00:00:38:05	Hamburg has it, this Samuel Heinicke.
00:00:38:05 00:00:38:14			PRESENT-OR-HERE1	da
00:00:38:14 00:00:38:23
00:00:38:23 00:00:38:25			$INDEX1
00:00:38:25 00:00:38:35
00:00:38:35 00:00:38:43			HAMBURG1	hamburg
00:00:38:43 00:00:39:11
00:00:39:11 00:00:39:35			MASK3^*	samuel heinicke
00:00:39:35 00:00:40:21					Oh, I see. I haven’t taken my guests there until now.	$GEST-NM-NOD-HEAD1^		ach so
00:00:40:21 00:00:40:22
00:00:40:22 00:00:40:35	No one goes there.
00:00:40:35 00:00:40:37						I2*
00:00:40:37 00:00:40:45
00:00:40:45 00:00:41:05		ALL2C		alle		TO-LEAD1A		führe
00:00:41:05 00:00:41:10
00:00:41:10 00:00:41:12			NOT3A				nicht
00:00:41:12 00:00:41:18
00:00:41:18 00:00:41:25
00:00:41:25 00:00:41:28		$NUM-ONE-TO-TEN1A:1		ni{cht}		I2*
00:00:41:28 00:00:41:33
00:00:41:33 00:00:41:39
00:00:41:39 00:00:41:45		ALL2C		alle
00:00:41:45 00:00:41:47
00:00:41:47 00:00:42:02
00:00:42:02 00:00:42:15		$NUM-ONE-TO-TEN1A:1		ni{cht} einmal
00:00:42:15 00:00:42:26
00:00:42:26 00:00:42:33		MASS-OF-PEOPLE-ACTIVE2*
00:00:42:33 00:00:42:37
00:00:42:37 00:00:42:44	Too bad you’ve never been there, with Hamburg being your hometown. That’s sad!
00:00:42:44 00:00:43:10			SAD7*	traurig
00:00:43:10 00:00:43:23
00:00:43:23 00:00:43:27			$INDEX2
00:00:43:27 00:00:43:28
00:00:43:28 00:00:43:31		$INDEX-ORAL1*		hamburg
00:00:43:31 00:00:43:39
00:00:43:39 00:00:43:49		HOMELAND2*		heimat
00:00:43:49 00:00:44:11
00:00:44:11 00:00:44:15		$INDEX2
00:00:44:15 00:00:44:33
00:00:44:33 00:00:44:46			SAD7*	traurig
00:00:44:46 00:00:45:22
00:00:45:22 00:00:45:29
00:00:45:29 00:00:45:41	It’s bad that you don’t know where that Samuel Heinicke is!				Your/
00:00:45:41 00:00:45:46						YOUR1		dein
00:00:45:46 00:00:45:47			$INDEX1	samuel heinicke
00:00:45:47 00:00:46:01
00:00:46:01 00:00:46:09
00:00:46:09 00:00:46:15			TO-KNOW-STH2B
00:00:46:15 00:00:46:17
00:00:46:17 00:00:46:24						$GEST-ATTENTION1^
00:00:46:24 00:00:46:30
00:00:46:30 00:00:46:39		WHERE1A		weiß nicht wo
00:00:46:39 00:00:46:47
00:00:46:47 00:00:47:02			YOU1
00:00:47:02 00:00:47:12
00:00:47:12 00:00:47:23		BAD3A*		schlimm
00:00:47:23 00:00:47:37
00:00:47:37 00:00:47:43					Oh, thanks. It’s not that bad!
00:00:47:43 00:00:48:06
00:00:48:06 00:00:48:13						$GEST-DECLINE1^
00:00:48:13 00:00:48:20
00:00:48:20 00:00:48:32						THANKS2		danke
00:00:48:32 00:00:49:13
00:00:49:13 00:00:49:30						BAD3A*		nicht schlimm
00:00:49:30 00:00:49:36
00:00:49:36 00:00:49:44					#There’s also something interesting x.		$NUM-ONE-TO-TEN1A:3d
00:00:49:44 00:00:50:03						AND2B*		un{d}
00:00:50:03 00:00:50:05
00:00:50:05 00:00:50:10						MY1*
00:00:50:10 00:00:50:46
00:00:50:46 00:00:51:08						I1*		ich
00:00:51:08 00:00:51:16
00:00:51:16 00:00:51:33						APARTMENT1A		wohnen
00:00:51:33 00:00:51:40
00:00:51:40 00:00:51:43						I1
00:00:51:43 00:00:52:01
00:00:52:01 00:00:52:07						$ANONYMISED^		[MG]
00:00:52:07 00:00:52:11
00:00:52:11 00:00:52:26						$ANONYMISED^
00:00:52:26 00:00:52:36
00:00:52:36 00:00:53:05						INTEREST1A		[MG]
00:00:53:05 00:00:53:09
00:00:53:09 00:00:53:22						AREA1A^		was
00:00:53:22 00:00:53:27
00:00:53:27 00:00:53:38					You know, I live #in Name1, and x there are those hills, they are sand hills, do you know what I mean?
00:00:53:38 00:00:53:41						I1
00:00:53:41 00:00:53:47
00:00:53:47 00:00:54:01						$NAME		#name1
00:00:54:01 00:00:54:14
00:00:54:14 00:00:54:20						TO-KNOW-STH2A		wusstest
00:00:54:20 00:00:54:22
00:00:54:22 00:00:54:25						YOU1*		du
00:00:54:25 00:00:54:42
00:00:54:42 00:00:55:08						I1		ich
00:00:55:08 00:00:55:17
00:00:55:17 00:00:55:21						APARTMENT1A		wohne
00:00:55:21 00:00:55:28
00:00:55:28 00:00:55:30						$ANONYMISED^
00:00:55:30 00:00:55:38
00:00:55:38 00:00:55:47						$NAME		#name1
00:00:55:47 00:00:56:03
00:00:56:03 00:00:56:22						$ANONYMISED^
00:00:56:22 00:00:56:43							#x
00:00:56:43 00:00:56:49
00:00:56:49 00:00:57:10						TO-OWN-TO-EXIST1		[MG]
00:00:57:10 00:00:57:24
00:00:57:24 00:00:59:06						$PROD		dünen
00:00:59:06 00:00:59:11
00:00:59:11 00:00:59:17						SAND1A*		sand
00:00:59:17 00:00:59:24
00:00:59:24 00:01:00:06						HILL1*
00:01:00:06 00:01:00:15
00:01:00:15 00:01:00:24						TO-KNOW-STH2A*		weiß
00:01:00:24 00:01:00:26
00:01:00:26 00:01:00:31					They are really great!
00:01:00:31 00:01:01:01						GREAT1A		toll
00:01:01:01 00:01:01:22
00:01:01:22 00:01:01:43	Sure, you know your home area very well.
00:01:01:43 00:01:02:01		CLEAR1D*		klar
00:01:02:01 00:01:02:15
00:01:02:15 00:01:02:25		TO-BELONG2*		[MG]
00:01:02:25 00:01:02:33
00:01:02:33 00:01:02:48		HOMELAND2*		heimat
00:01:02:48 00:01:03:06
00:01:03:06 00:01:03:19		TO-KNOW-STH-OR-SB1A*		kennen
00:01:03:19 00:01:03:28
00:01:03:28 00:01:03:41		GOOD1		sehr gut
00:01:03:41 00:01:04:00
00:01:04:00 00:01:04:09	You could go swimming for free, in a flooded gravel pit.
00:01:04:09 00:01:04:15		TO-COST2B*		kostenlos
00:01:04:15 00:01:04:21
00:01:04:21 00:01:04:31		WITHOUT2
00:01:04:31 00:01:04:40
00:01:04:40 00:01:05:03		TO-SWIM1		schwimmen
00:01:05:03 00:01:05:12
00:01:05:12 00:01:05:19		TO-JOIN1^
00:01:05:19 00:01:05:28
00:01:05:28 00:01:05:47		TO-KNEAD1B^		baggersee
00:01:05:47 00:01:06:06
00:01:06:06 00:01:06:42			CIRCLE2*
00:01:06:42 00:01:07:00
00:01:07:00 00:01:07:06	Back then that was an insider tip/				So, you both go there on a regular basis?
00:01:07:06 00:01:07:09			WAS1*
00:01:07:09 00:01:07:22						WHAT-DOES-THAT-MEAN1*		bedeutet
00:01:07:22 00:01:07:23			SECRET2B	geheimt{ipp}
00:01:07:23 00:01:07:25
00:01:07:25 00:01:07:29						BOTH2A*
00:01:07:29 00:01:07:35
00:01:07:35 00:01:07:39						REGULARLY2*		[MG]
00:01:07:39 00:01:07:43
00:01:07:43 00:01:08:03
00:01:08:03 00:01:08:09		HINT2*				TO-GO-THERE1*
00:01:08:09 00:01:08:13
00:01:08:13 00:01:08:17	No, it’s secret.	SECRET2B*
00:01:08:17 00:01:08:38
00:01:08:38 00:01:08:45	That was back in 1974 or 1975 when students met there often.
00:01:08:45 00:01:09:02			PAST-OR-BACK-THEN1	früher
00:01:09:02 00:01:09:18
00:01:09:18 00:01:09:41		$NUM-TEEN2A:9		neunzehnhundertvierundsiebzig
00:01:09:41 00:01:09:44
00:01:09:44 00:01:10:03			$NUM-ONE-TO-TEN1B:4
00:01:10:03 00:01:10:15
00:01:10:15 00:01:10:31		$NUM-TENS1:7d*
00:01:10:31 00:01:10:46
00:01:10:46 00:01:11:02			$NUM-ONE-TO-TEN1B:5	fünfundsie{bzig}
00:01:11:02 00:01:11:07
00:01:11:07 00:01:11:09		$NUM-TENS1:7d*
00:01:11:09 00:01:11:20
00:01:11:20 00:01:11:35			TO-STUDY1	student
00:01:11:35 00:01:11:44
00:01:11:44 00:01:11:48		TYPICAL1*		[MG]
00:01:11:48 00:01:12:03
00:01:12:03 00:01:12:11		MASS-OF-PEOPLE-ACTIVE1*
00:01:12:11 00:01:12:20	It was an insider tip, and everyone went swimming there because being there in the outdoors is nice.
00:01:12:20 00:01:12:34			SECRET2B	geheimtipp
00:01:12:34 00:01:12:48
00:01:12:48 00:01:13:08		HINT2*
00:01:13:08 00:01:13:21
00:01:13:21 00:01:13:37		TO-SWIM1		schwimmen
00:01:13:37 00:01:13:46
00:01:13:46 00:01:14:07		MASS-OF-PEOPLE-ACTIVE1*
00:01:14:07 00:01:14:18		$ORAL^		warum
00:01:14:18 00:01:14:25		TO-JOIN2A*
00:01:14:25 00:01:14:33
00:01:14:33 00:01:14:38					Interesting! I go swimming there on a regular basis.
00:01:14:38 00:01:14:46		NATURE8*		natur
00:01:14:46 00:01:14:47
00:01:14:47 00:01:15:00						INTEREST1A
00:01:15:00 00:01:15:09		TO-SWARM1
00:01:15:09 00:01:15:14
00:01:15:14 00:01:15:20
00:01:15:20 00:01:15:21			TO-COME1
00:01:15:21 00:01:15:24						I2*		ich
00:01:15:24 00:01:15:31
00:01:15:31 00:01:15:36
00:01:15:36 00:01:15:37	But now there’re many more tourists; they’ve employed lifeguards and installed toilets.
00:01:15:37 00:01:15:41						THERE1
00:01:15:41 00:01:15:47
00:01:15:47 00:01:16:06		NOW1		jetzt		REGULARLY2*		[MG]
00:01:16:06 00:01:16:13						TO-SWIM1*		schwimmen
00:01:16:13 00:01:16:23
00:01:16:23 00:01:16:34		MORE3		mehr mehr
00:01:16:34 00:01:16:37
00:01:16:37 00:01:16:45
00:01:16:45 00:01:17:04		TOURIST2*
00:01:17:04 00:01:17:07
00:01:17:07 00:01:17:18		LIKE-HOW1A*		wie
00:01:17:18 00:01:17:19
00:01:17:19 00:01:18:21		$PROD		leute leute
00:01:18:21 00:01:18:43
00:01:18:43 00:01:19:06			IN-ADDITION1	dazu
00:01:19:06 00:01:19:19
00:01:19:19 00:01:19:25			TO-LIST1C
00:01:19:25 00:01:19:30
00:01:19:30 00:01:19:48		TO-SWIM1*		bad{emeister}
00:01:19:48 00:01:20:07
00:01:20:07 00:01:20:16		SUPERVISION1A*
00:01:20:16 00:01:20:32
00:01:20:32 00:01:20:42			$PROD
00:01:20:42 00:01:21:09
00:01:21:09 00:01:21:19			IN-ADDITION1	dazu
00:01:21:19 00:01:21:35
00:01:21:35 00:01:21:47			WC2	w-c
00:01:21:47 00:01:22:19
00:01:22:19 00:01:22:33		TO-PUT1B*
00:01:22:33 00:01:22:41
00:01:22:41 00:01:23:05	It’s not an insider tip anymore.
00:01:23:05 00:01:23:17		NOT1		nicht mehr
00:01:23:17 00:01:23:27
00:01:23:27 00:01:23:38			SECRET2B	geheimtipp
00:01:23:38 00:01:23:49
00:01:23:49 00:01:24:10		HINT2*
00:01:24:10 00:01:24:18
00:01:24:18 00:01:24:23	I’d like to discover new insider tips, places to go to, swimming for instance.	I2*		ich
00:01:24:23 00:01:24:42
00:01:24:42 00:01:24:46		GLADLY1		gern
00:01:24:46 00:01:25:05
00:01:25:05 00:01:25:11			SECRET2B	geheimtipp
00:01:25:11 00:01:25:18
00:01:25:18 00:01:25:25		HINT2
00:01:25:25 00:01:25:34
00:01:25:34 00:01:25:41		TO-SWIM1*		schwimmen
00:01:25:41 00:01:26:02
00:01:26:02 00:01:26:15		$PROD
00:01:26:15 00:01:26:19	For example what you just proposed could also be interesting.	$INDEX1		beisp{iel}
00:01:26:19 00:01:26:25
00:01:26:25 00:01:26:34		TO-GIVE2^
00:01:26:34 00:01:26:40
00:01:26:40 00:01:26:45		CLOSE-BY1A		wohn
00:01:26:45 00:01:27:01
00:01:27:01 00:01:27:15		AREA1A
00:01:27:15 00:01:27:17
00:01:27:17 00:01:27:19			GOOD1*
00:01:27:19 00:01:27:22
00:01:27:22 00:01:27:23		$INDEX1		da
00:01:27:23 00:01:27:26
00:01:27:26 00:01:28:02		AREA1A	INTEREST1A	interessant
00:01:28:02 00:01:28:12
00:01:28:12 00:01:28:21	#Your home region is Name1 is more interesting than mine. #In my neighborhood in Name2 there’s only a school for deaf children.
00:01:28:21 00:01:28:26			$INDEX1
00:01:28:26 00:01:28:30
00:01:28:30 00:01:28:31		HOMELAND2*
00:01:28:31 00:01:28:39
00:01:28:39 00:01:29:07			HOMELAND1	heimat
00:01:29:07 00:01:29:31
00:01:29:31 00:01:29:43		$NAME		#name1
00:01:29:43 00:01:30:04
00:01:30:04 00:01:30:24		AREA1A
00:01:30:24 00:01:30:48
00:01:30:48 00:01:31:16		MOUNTAIN1A^		düne
00:01:31:16 00:01:31:25
00:01:31:25 00:01:31:32		MORE1		mehr
00:01:31:32 00:01:31:38
00:01:31:38 00:01:31:42		INTEREST1B		i{nteressant}
00:01:31:42 00:01:32:02
00:01:32:02 00:01:32:04			I1
00:01:32:04 00:01:32:11
00:01:32:11 00:01:32:23		$NAME		#name2
00:01:32:23 00:01:32:33
00:01:32:33 00:01:33:02		EASY-OR-LIGHT1^
00:01:33:02 00:01:33:10
00:01:33:10 00:01:33:23		CLOSE-BY1A		[MG]
00:01:33:23 00:01:33:34
00:01:33:34 00:01:33:37		DEAF1A*		gehör{los}
00:01:33:37 00:01:33:47
00:01:33:47 00:01:34:12		SCHOOL1C		schule
00:01:34:12 00:01:34:17
00:01:34:17 00:01:34:21		I2*
00:01:34:21 00:01:34:28
00:01:34:28 00:01:34:36		$GEST-OFF1^
00:01:34:36 00:01:35:16
00:01:35:16 00:01:35:18					I think it would be better if the two of us tried to get back to the actual topic of discussion.	I1
00:01:35:18 00:01:35:24
00:01:35:24 00:01:35:30						OPINION1B		meine
00:01:35:30 00:01:35:38
00:01:35:38 00:01:35:43						BETTER1		besser
00:01:35:43 00:01:36:02
00:01:36:02 00:01:36:16						BOTH2A*		wir beide
00:01:36:16 00:01:36:32
00:01:36:32 00:01:36:45						TO-TRY1		versuchen
00:01:36:45 00:01:37:00
00:01:37:00 00:01:37:08						DISCUSSION1A*		disku{tieren}
00:01:37:08 00:01:37:12
00:01:37:12 00:01:37:25						WHAT1B		was
00:01:37:25 00:01:37:39
00:01:37:39 00:01:38:39					So, in Hamburg we have the fish market, the harbour, the TV tower, and also/
00:01:38:39 00:01:38:43						$LIST1:1of1d
00:01:38:43 00:01:38:49
00:01:38:49 00:01:39:04						FISH1*		fischmarkt
00:01:39:04 00:01:39:14
00:01:39:14 00:01:39:24						MARKET4*
00:01:39:24 00:01:39:42
00:01:39:42 00:01:40:05						$LIST1:2of2d
00:01:40:05 00:01:40:16
00:01:40:16 00:01:40:32						HARBOUR2*		hafen
00:01:40:32 00:01:41:01
00:01:41:01 00:01:41:20						$LIST1:3of3d
00:01:41:20 00:01:41:33
00:01:41:33 00:01:42:12						TO-SIT-IN-A-CIRCLE1^*		fernsehturm
00:01:42:12 00:01:42:19
00:01:42:19 00:01:42:29						$LIST1:4of4d
00:01:42:29 00:01:42:32					I didn’t know that there is a slaughterhouse close to the TV tower.
00:01:42:32 00:01:42:37						$INDEX1
00:01:42:37 00:01:42:47
00:01:42:47 00:01:43:01						TELEVISION1B*		fernsehturm
00:01:43:01 00:01:43:07
00:01:43:07 00:01:43:14						$INDEX1
00:01:43:14 00:01:43:19
00:01:43:19 00:01:43:25						CLOSE-BY1A*		[MG]
00:01:43:25 00:01:43:33
00:01:43:33 00:01:43:40						DOWN1
00:01:43:40 00:01:44:00
00:01:44:00 00:01:44:16						SLAUGHTER1		schlachter
00:01:44:16 00:01:44:26
00:01:44:26 00:01:44:37						DONT-KNOW2*		[MG]
00:01:44:37 00:01:44:40
00:01:44:40 00:01:44:43						I1
00:01:44:43 00:01:45:01
00:01:45:01 00:01:45:19						$LIST1:3of3d
00:01:45:19 00:01:45:24					Did you know? It’s underneath the tower, close by.
00:01:45:24 00:01:45:30						TO-KNOW-STH2B		wusstest
00:01:45:30 00:01:45:36
00:01:45:36 00:01:45:38						YOU1*		du
00:01:45:38 00:01:45:46
00:01:45:46 00:01:46:12						DOWN1^
00:01:46:12 00:01:46:13	The TV tower is going to be closed off.
00:01:46:13 00:01:46:31		TO-SIT-IN-A-CIRCLE1^		fernsehturm
00:01:46:31 00:01:46:42
00:01:46:42 00:01:47:05		TO-BAR3*		[MG]
00:01:47:05 00:01:47:22						DOWN1^*
00:01:47:22 00:01:47:30
00:01:47:30 00:01:48:02					The TV tower will be closed off?
00:01:48:02 00:01:48:12						ROUND13B^
00:01:48:12 00:01:48:14
00:01:48:14 00:01:48:25						TO-BAR3*		[MG]
00:01:48:25 00:01:48:48	Yes, you won’t be able to get up or down the tower anymore and experience the view from up there.
00:01:48:48 00:01:49:29			ELEVATOR1^*
00:01:49:29 00:01:49:39
00:01:49:39 00:01:49:45		$GEST-DECLINE1^*
00:01:49:45 00:01:50:02
00:01:50:02 00:01:50:18		TO-BAR3*		[MG]
00:01:50:18 00:01:50:37
00:01:50:37 00:01:51:12			ELEVATOR1^*	fernsehturm
00:01:51:12 00:01:51:17
00:01:51:17 00:01:51:31		NOT-ANYMORE1A		nicht mehr
00:01:51:31 00:01:51:46					I didn’t know that.	$GEST-NM^
00:01:51:46 00:01:52:22
00:01:52:22 00:01:53:12					There’s this one famous street near the Reeperbahn that’s closed off.	REEPERBAHN1		reeperbahn
00:01:53:12 00:01:53:27
00:01:53:27 00:01:53:40						WELL-KNOWN1A		bekannt
00:01:53:40 00:01:54:13
00:01:54:13 00:01:54:28						CLOSE-BY1^
00:01:54:28 00:01:54:35
00:01:54:35 00:01:54:44					If you’d enter despite the barricade, they’d throw you out or throw water at you.
00:01:54:44 00:01:55:16						$PROD
00:01:55:16 00:01:55:29
00:01:55:29 00:01:55:36						ON-PERSON1		auf
00:01:55:36 00:01:55:49
00:01:55:49 00:01:56:15						MOVEMENT-OBJECT2^		[MG]
00:01:56:15 00:01:56:20
00:01:56:20 00:01:56:23						WATER1		wasser
00:01:56:23 00:01:56:32
00:01:56:32 00:01:56:44						$PROD
00:01:56:44 00:01:57:01	That’s how it is, sure.
00:01:57:01 00:01:57:03
00:01:57:03 00:01:57:08		NOW1		jetzt
00:01:57:08 00:01:57:16
00:01:57:16 00:01:57:22		$GEST-OFF1^		[MG]
00:01:57:22 00:01:57:23
00:01:57:23 00:01:57:37
00:01:57:37 00:01:57:43		NOW1		jetzt
00:01:57:43 00:01:58:03
00:01:58:03 00:01:58:11		$GEST-OFF1^*		[MG]
00:01:58:11 00:01:58:21
00:01:58:21 00:01:58:33	You can’t go in there.
00:01:58:33 00:01:58:38			YOU1	du
00:01:58:38 00:01:59:02
00:01:59:02 00:01:59:15			TO-VISIT-OR-TO-ATTEND1B*	[MG]
00:01:59:15 00:01:59:23
00:01:59:23 00:01:59:35			CAN1*	kann nicht
00:01:59:35 00:01:59:37
00:01:59:37 00:01:59:41		INTO2*
00:01:59:41 00:01:59:46
00:01:59:46 00:02:00:04		$GEST-OFF1^*
00:02:00:04 00:02:00:06
00:02:00:06 00:02:00:12	It’s expensive.
00:02:00:12 00:02:00:30		EXPENSIVE1		[MG]
00:02:00:30 00:02:00:40
00:02:00:40 00:02:01:11			$GEST-TO-PONDER1^	[MG]
00:02:01:11 00:02:01:13	How do people say, the Herbertstraße has the most expensive brothels of Hamburg. Did you know that?
00:02:01:13 00:02:01:19		LIKE-HOW1A		wie
00:02:01:19 00:02:01:23
00:02:01:23 00:02:01:28			TO-SAY1	sagt man
00:02:01:28 00:02:01:41
00:02:01:41 00:02:02:03		LOOSE1^		herbertstraße
00:02:02:03 00:02:02:17
00:02:02:17 00:02:03:07			WAY3*
00:02:03:07 00:02:03:34
00:02:03:34 00:02:04:08			EXPENSIVE1	teuerste
00:02:04:08 00:02:04:23
00:02:04:23 00:02:04:34		BROTHEL1		puff
00:02:04:34 00:02:04:48
00:02:04:48 00:02:05:35		AREA1A^		von hamburg
00:02:05:35 00:02:05:47
00:02:05:47 00:02:06:05		TO-KNOW-STH2B*		nicht gewusst
00:02:06:05 00:02:06:08
00:02:06:08 00:02:06:12		YOU1
00:02:06:12 00:02:06:24
00:02:06:24 00:02:06:26	Everything used to be very cheap there, but over time it changed and became much more expensive.
00:02:06:26 00:02:06:31			PAST-OR-BACK-THEN1*	früher
00:02:06:31 00:02:06:37
00:02:06:37 00:02:06:47		CHEAP6		billig
00:02:06:47 00:02:07:17
00:02:07:17 00:02:08:12		TO-CHANGE1B		[MG]
00:02:08:12 00:02:08:32
00:02:08:32 00:02:09:01		EXPENSIVE1		teuers{te}
00:02:09:01 00:02:09:10
00:02:09:10 00:02:09:23	The Reeperbahn has become more professional, now a man has to pay at least 200 euros to get a woman; it is something for wealthy men nowadays.
00:02:09:23 00:02:09:47		BEHIND1^*		reeper{bahn}
00:02:09:47 00:02:10:09
00:02:10:09 00:02:10:21		PROFESSIONAL1A*		profi
00:02:10:21 00:02:10:45
00:02:10:45 00:02:11:07			$PROD
00:02:11:07 00:02:11:12		MUST1*		muss
00:02:11:12 00:02:11:14
00:02:11:14 00:02:11:20		TO-COST2B*		kostet
00:02:11:20 00:02:11:47
00:02:11:47 00:02:12:11			OFF2	ab
00:02:12:11 00:02:12:31
00:02:12:31 00:02:12:42			$NUM-HUNDREDS1:2	zweihundert
00:02:12:42 00:02:13:11
00:02:13:11 00:02:13:20			MAN1*	mann
00:02:13:20 00:02:13:22
00:02:13:22 00:02:13:29			CAN1	kann
00:02:13:29 00:02:13:37
00:02:13:37 00:02:14:00			RICH3	[MG]
00:02:14:00 00:02:14:10
00:02:14:10 00:02:14:15		OFF2		ab
00:02:14:15 00:02:14:28
00:02:14:28 00:02:14:34		$NUM-HUNDREDS1:2		zweihundert
00:02:14:34 00:02:14:43
00:02:14:43 00:02:15:01		TO-PAY1		eu{ro}
00:02:15:01 00:02:15:06
00:02:15:06 00:02:15:17	That’s quite expensive, but the Reeperbahn is well known for having noble brothels.
00:02:15:17 00:02:15:30		EXPENSIVE1		teuers{te}
00:02:15:30 00:02:15:42
00:02:15:42 00:02:16:02		WELL-KNOWN1A		bekannt
00:02:16:02 00:02:16:11
00:02:16:11 00:02:16:25		GOOD1^*		wie [MG]
00:02:16:25 00:02:16:36
00:02:16:36 00:02:17:13			LUXURIOUS1*	edelpuff
00:02:17:13 00:02:17:23
00:02:17:23 00:02:17:28			BROTHEL1*
00:02:17:28 00:02:17:44
00:02:17:44 00:02:18:06			WAY-COURSE1A^
00:02:18:06 00:02:18:21	Steinstrasse is much cheaper than Reeperbahn.
00:02:18:21 00:02:18:31		CHEAP5		billig
00:02:18:31 00:02:18:42
00:02:18:42 00:02:19:00		STONE10A		steinstraße
00:02:19:00 00:02:19:21
00:02:19:21 00:02:20:02		STREET4*
00:02:20:02 00:02:20:17
00:02:20:17 00:02:20:31		CHEAP5		billig
00:02:20:31 00:02:20:47
00:02:20:47 00:02:21:11			REEPERBAHN1	reeper{bahn}
00:02:21:11 00:02:21:14
00:02:21:14 00:02:21:20	When was the last time you visited the Reeperbahn?
00:02:21:20 00:02:21:27		WHEN1		wann
00:02:21:27 00:02:21:30
00:02:21:30 00:02:21:43		LASTLY1A		zuletzt
00:02:21:43 00:02:21:46
00:02:21:46 00:02:22:08			REEPERBAHN1	reeperbahn
00:02:22:08 00:02:22:11
00:02:22:11 00:02:22:16			I1*
00:02:22:16 00:02:22:28
00:02:22:28 00:02:22:34			QUESTION1	frage
00:02:22:34 00:02:22:41			YOU1
00:02:22:41 00:02:23:22
00:02:23:22 00:02:23:49
00:02:23:49 00:02:24:24					I’d better ask you instead, you know the area much better.
00:02:24:24 00:02:24:26						QUESTION1*
00:02:24:26 00:02:24:27
00:02:24:27 00:02:24:35						CONVERSELY1		umge{kehrt}
00:02:24:35 00:02:24:39						I1
00:02:24:39 00:02:24:47
00:02:24:47 00:02:25:01						QUESTION1		frage
00:02:25:01 00:02:25:05
00:02:25:05 00:02:25:09						BETTER1*		besser
00:02:25:09 00:02:25:15
00:02:25:15 00:02:25:19						YOU1
00:02:25:19 00:02:25:31
00:02:25:31 00:02:25:39						TO-KNOW-STH-OR-SB1B		kenn
00:02:25:39 00:02:25:45
00:02:25:45 00:02:26:04						BETTER1*		besser
00:02:26:04 00:02:26:10
00:02:26:10 00:02:26:19						OUTDOORS2^		daraus
00:02:26:19 00:02:26:47
00:02:26:47 00:02:27:11	No, I mean when did you go to see the Reeperbahn the last time?
00:02:27:11 00:02:27:15			I1
00:02:27:15 00:02:27:22
00:02:27:22 00:02:27:31			SELF1A*	du selbst
00:02:27:31 00:02:27:40
00:02:27:40 00:02:27:45			WHEN1	wann
00:02:27:45 00:02:27:48
00:02:27:48 00:02:28:12		LASTLY1A		letzte mal
00:02:28:12 00:02:28:23
00:02:28:23 00:02:28:36			REEPERBAHN1	reeperbahn
00:02:28:36 00:02:28:43
00:02:28:43 00:02:28:46			YOU1
00:02:28:46 00:02:29:23
00:02:29:23 00:02:30:34					Well, maybe two years ago?	$GEST-NM-SHAKE-HEAD1^		[MG]
00:02:30:34 00:02:30:43						$NUM-YEAR-BEFORE-NOW1:2*		zwei jahre
00:02:30:43 00:02:31:42
00:02:31:42 00:02:32:14
00:02:32:14 00:02:32:25	What’s really interesting is going on a guided tour there.
00:02:32:25 00:02:32:43			TO-VISIT1
00:02:32:43 00:02:33:03		WITH1A*		mit
00:02:33:03 00:02:33:07
00:02:33:07 00:02:33:28		TO-LEAD1A*		führen
00:02:33:28 00:02:33:33					No, I’ve never done that.	$GEST-NM-SHAKE-HEAD1^		[MG]
00:02:33:33 00:02:33:41
00:02:33:41 00:02:34:04		$GEST-NM-SHAKE-HEAD1^		[MG]
00:02:34:04 00:02:34:17			INTEREST1A	interessant
00:02:34:17 00:02:34:20
00:02:34:20 00:02:34:24		$GEST-OFF1^
00:02:34:24 00:02:34:36
00:02:34:36 00:02:35:37
00:02:35:37 00:02:36:08					But there are a couple of sights in Hamburg that people recommend:	BUT1*		aber moment
00:02:36:08 00:02:36:14						$INDEX1
00:02:36:14 00:02:36:36
00:02:36:36 00:02:36:46						TO-RECOMMEND1A		empfohl
00:02:36:46 00:02:37:11
00:02:37:11 00:02:37:13							$NUM-ONE-TO-TEN1A:2d
00:02:37:13 00:02:37:22						HAMBURG1*		hamburg
00:02:37:22 00:02:37:26
00:02:37:26 00:02:37:49						TO-VISIT1
00:02:37:49 00:02:38:05
00:02:38:05 00:02:38:15						$GEST-OFF1^*	$NUM-ONE-TO-TEN1A:3d	[MG]
00:02:38:15 00:02:38:34
00:02:38:34 00:02:38:41						$GEST-OFF1^*
00:02:38:41 00:02:39:22
00:02:39:22 00:02:39:35
00:02:39:35 00:02:40:02	So, when people from outside the city come to visit, you take them on a tour through Hafencity.
00:02:40:02 00:02:40:08		$GEST-ATTENTION1^
00:02:40:08 00:02:40:19
00:02:40:19 00:02:40:28		NOW1*		jetzt
00:02:40:28 00:02:40:44
00:02:40:44 00:02:41:08		TO-SPREAD2^*		[MG]
00:02:41:08 00:02:41:31
00:02:41:31 00:02:41:42		TO-DRIVE3*		hamburg
00:02:41:42 00:02:42:01
00:02:42:01 00:02:42:14			HARBOUR1*	hafencity
00:02:42:14 00:02:42:30		DOWNTOWN1
00:02:42:30 00:02:42:44
00:02:42:44 00:02:43:33		TO-LEAD1A*
00:02:43:33 00:02:43:35
00:02:43:35 00:02:43:41	They are currently constructing Hafencity, and it’s very modern.
00:02:43:41 00:02:43:46			MOMENT1*	moment
00:02:43:46 00:02:44:05
00:02:44:05 00:02:44:23		TO-SPREAD2		[MG]
00:02:44:23 00:02:44:33
00:02:44:33 00:02:44:41			HARBOUR1*	hafencity
00:02:44:41 00:02:44:49
00:02:44:49 00:02:45:08		DOWNTOWN1
00:02:45:08 00:02:45:20
00:02:45:20 00:02:45:29		MODERN1A		modern
00:02:45:29 00:02:45:44
00:02:45:44 00:02:46:05		$INDEX2
00:02:46:05 00:02:46:14	What else do we have?
00:02:46:14 00:02:46:19		$LIST1:2of2d
00:02:46:19 00:02:46:23
00:02:46:23 00:02:46:30		$GEST-OFF1^*
00:02:46:30 00:02:46:38
00:02:46:38 00:02:46:49		$LIST1:2of2d
00:02:46:49 00:02:47:06
00:02:47:06 00:02:47:15		$GEST-OFF1^*
00:02:47:15 00:02:47:22
00:02:47:22 00:02:47:30		$LIST1:2of2d
00:02:47:30 00:02:47:33
00:02:47:33 00:02:48:05		$GEST-OFF1^*
00:02:48:05 00:02:48:37
00:02:48:37 00:02:48:41	There’s the Hafencity and the old buildings in Eppendorf. The old buildings in Eppendorf.
00:02:48:41 00:02:48:49		HARBOUR1		hafencity
00:02:48:49 00:02:49:00
00:02:49:00 00:02:49:08		DOWNTOWN1
00:02:49:08 00:02:49:13
00:02:49:13 00:02:49:18		AREA1D*
00:02:49:18 00:02:49:31
00:02:49:31 00:02:49:49		EPPENDORF1		eppendorf
00:02:49:49 00:02:50:06
00:02:50:06 00:02:50:11		HEADING1^
00:02:50:11 00:02:50:21
00:02:50:21 00:02:50:32		OLD8B		altbau
00:02:50:32 00:02:50:40
00:02:50:40 00:02:50:49		TO-BUILD1*
00:02:50:49 00:02:51:07
00:02:51:07 00:02:51:27			PERSON1^*	wohn{ungen}
00:02:51:27 00:02:51:44
00:02:51:44 00:02:52:03		OLD8B*		altbau
00:02:52:03 00:02:52:07
00:02:52:07 00:02:52:19		TO-BUILD1*
00:02:52:19 00:02:52:20
00:02:52:20 00:02:52:35		EPPENDORF1		eppendorf
00:02:52:35 00:02:52:44
00:02:52:44 00:02:53:03	They have these old art nouveau fronts That’s really interesting.
00:02:53:03 00:02:53:15		OLD8B		alt
00:02:53:15 00:02:53:26
00:02:53:26 00:02:53:32		STYLE2*		s{til}
00:02:53:32 00:02:53:37
00:02:53:37 00:02:53:45		YOUNG1*		jugendstil
00:02:53:45 00:02:54:02
00:02:54:02 00:02:54:06		STYLE2
00:02:54:06 00:02:54:27
00:02:54:27 00:02:55:37		$PROD
00:02:55:37 00:02:55:48
00:02:55:48 00:02:56:10		INTEREST1B		interessant
00:02:56:10 00:02:56:16			You know that better than I do.
00:02:56:16 00:02:56:24
00:02:56:24 00:02:56:26							TO-KNOW-STH2B	weiß
00:02:56:26 00:02:56:30		$GEST-OFF1^*
00:02:56:30 00:02:56:37
00:02:56:37 00:02:56:43						BETTER1*	besser
00:02:56:43 00:02:56:47
00:02:56:47 00:02:56:49			I can’t say much about that.
00:02:56:49 00:02:57:06					I2		ich
00:02:57:06 00:02:57:14					$ORAL^		kann
00:02:57:14 00:02:57:18
00:02:57:18 00:02:57:22						MUCH1A	viel
00:02:57:22 00:02:57:24	That’s interesting.
00:02:57:24 00:02:57:32
00:02:57:32 00:02:57:39		INTEREST1B			interessant		TO-SAY1*	sagen
00:02:57:39 00:02:58:07
00:02:58:07 00:02:58:11
00:02:58:11 00:02:58:14
00:02:58:14 00:02:58:23		$GEST-OFF1^*
00:02:58:23 00:02:58:43
00:02:58:43 00:02:59:02	Then there’s Boberg with a lot of nature.
00:02:59:02 00:02:59:07		$INDEX1		boberg
00:02:59:07 00:02:59:13
00:02:59:13 00:02:59:37		AREA1A*
00:02:59:37 00:02:59:45
00:02:59:45 00:03:00:09		$ORAL^		mehr
00:03:00:09 00:03:00:10
00:03:00:10 00:03:00:21		NATURE8		natur
00:03:00:21 00:03:00:25
00:03:00:25 00:03:00:32		AREA2B*
00:03:00:32 00:03:00:39
00:03:00:39 00:03:00:45	Hamburg doesn’t have many green spaces.
00:03:00:45 00:03:01:03			HAMBURG2*	hamburg
00:03:01:03 00:03:01:12
00:03:01:12 00:03:01:23		NONE2*		kein
00:03:01:23 00:03:01:28
00:03:01:28 00:03:01:36		NATURE8		natur
00:03:01:36 00:03:01:40
00:03:01:40 00:03:02:16		AREA2B*			I only go to Boberg when I want to take my visitors there.
00:03:02:16 00:03:02:22						$GEST-NM-SHAKE-HEAD1^		nein
00:03:02:22 00:03:02:28
00:03:02:28 00:03:02:29
00:03:02:29 00:03:02:31			$INDEX4
00:03:02:31 00:03:02:40
00:03:02:40 00:03:02:45						MEANING1		bedeutet
00:03:02:45 00:03:03:01			$GEST-OFF1^*
00:03:03:01 00:03:03:02
00:03:03:02 00:03:03:04
00:03:03:04 00:03:03:18						I1*		ich
00:03:03:18 00:03:03:25
00:03:03:25 00:03:03:33						TO-LEAD1B*		führ
00:03:03:33 00:03:03:37
00:03:03:37 00:03:03:43						$ALPHA1:B*		boberg
00:03:03:43 00:03:04:20
00:03:04:20 00:03:04:28						ONLY2A		nur
00:03:04:28 00:03:04:29
00:03:04:29 00:03:04:35						IF-OR-WHEN1A		wenn
00:03:04:35 00:03:04:44
00:03:04:44 00:03:05:09						TO-VISIT-OR-TO-ATTEND1B*		besuch
00:03:05:09 00:03:05:16
00:03:05:16 00:03:05:20						DONE1A*		[MG]
00:03:05:20 00:03:06:11
00:03:06:11 00:03:06:18
00:03:06:18 00:03:06:23					If people like to, they can go to the city, but it’s not for me.
00:03:06:23 00:03:06:31						WHO3		wer
00:03:06:31 00:03:06:37
00:03:06:37 00:03:07:00						THERE1*
00:03:07:00 00:03:07:04
00:03:07:04 00:03:07:10						CITY2*		stadt
00:03:07:10 00:03:07:26
00:03:07:26 00:03:07:42						NO1B		[MG]
00:03:07:42 00:03:07:44					The fish market is famous for its barkers, like those who throw bananas or eels.
00:03:07:44 00:03:08:04						BUT1*		aber
00:03:08:04 00:03:09:19
00:03:09:19 00:03:09:27						FISH1*		fischmarkt
00:03:09:27 00:03:09:34
00:03:09:34 00:03:09:41						MARKET4*
00:03:09:41 00:03:09:48
00:03:09:48 00:03:10:13						FAMOUS1A*		berühmt
00:03:10:13 00:03:10:24
00:03:10:24 00:03:11:00						SCREAM3*		schreihals
00:03:11:00 00:03:11:20
00:03:11:20 00:03:11:34						NECK2A*
00:03:11:34 00:03:11:44
00:03:11:44 00:03:12:06						BANANA1A*		banane
00:03:12:06 00:03:12:17
00:03:12:17 00:03:13:00						TO-THROW6A*		werf
00:03:13:00 00:03:13:12
00:03:13:12 00:03:13:17						AND2B*		und
00:03:13:17 00:03:13:30
00:03:13:30 00:03:13:44						EEL1*		aal
00:03:13:44 00:03:14:01
00:03:14:01 00:03:14:06					That’s well-known in Hamburg.
00:03:14:06 00:03:14:13						WELL-KNOWN1A*		bekannt
00:03:14:13 00:03:14:20
00:03:14:20 00:03:14:25						$INDEX2		hamburg
00:03:14:25 00:03:14:46
00:03:14:46 00:03:15:07	It started in the 1970s already.
00:03:15:07 00:03:15:12		NOW1		jetzt
00:03:15:12 00:03:15:18
00:03:15:18 00:03:15:28		$INDEX1*
00:03:15:28 00:03:15:31
00:03:15:31 00:03:15:34			PARTICULARLY1A	beson{ders}
00:03:15:34 00:03:15:46
00:03:15:46 00:03:16:14		$NUM-TEEN1:9*		neunzehnhundertsiebzig
00:03:16:14 00:03:16:21
00:03:16:21 00:03:16:26		$NUM-TENS2A:7d
00:03:16:26 00:03:16:41
00:03:16:41 00:03:16:45			I2
00:03:16:45 00:03:17:03
00:03:17:03 00:03:17:09		MASS-OF-PEOPLE-ACTIVE1^
00:03:17:09 00:03:17:13		$INDEX1*
00:03:17:13 00:03:17:16	Nowadays, when I have guests, when friends visit me, the first thing we do is a go on a tour through Speicherstadt [lit. City of Warehouses, part of town].
00:03:17:16 00:03:17:20		NOW1*		jetzt
00:03:17:20 00:03:17:25
00:03:17:25 00:03:17:34		MORE1*		mehr
00:03:17:34 00:03:17:42
00:03:17:42 00:03:18:00			IF-OR-WHEN1A	wenn
00:03:18:00 00:03:18:01
00:03:18:01 00:03:18:14		SOON6
00:03:18:14 00:03:18:24
00:03:18:24 00:03:18:35		TO-OBTAIN1*		bekommt
00:03:18:35 00:03:18:45
00:03:18:45 00:03:19:03			TO-VISIT-OR-TO-ATTEND2	bes{uch}
00:03:19:03 00:03:19:10
00:03:19:10 00:03:19:15		FRIEND1A*		freund
00:03:19:15 00:03:19:25
00:03:19:25 00:03:19:37		TO-COME1*
00:03:19:37 00:03:19:38		I1*
00:03:19:38 00:03:19:44
00:03:19:44 00:03:20:03			FIRST-OF-ALL1C	erstes mal
00:03:20:03 00:03:20:14
00:03:20:14 00:03:20:20		TO-LEAD1A
00:03:20:20 00:03:20:30
00:03:20:30 00:03:20:47		TO-COLLECT1^		speicherstadt
00:03:20:47 00:03:21:09
00:03:21:09 00:03:21:16		CITY2*
00:03:21:16 00:03:21:25
00:03:21:25 00:03:21:27			$INDEX1
00:03:21:27 00:03:21:40	It’s all duty-free. The load could easily be transferred to the warehouses with a peg on a pull rope.
00:03:21:40 00:03:21:46			MOMENT1*	im moment
00:03:21:46 00:03:22:04
00:03:22:04 00:03:22:15		CUSTOMS1A		zollfrei
00:03:22:15 00:03:22:23
00:03:22:23 00:03:22:40		FREE1
00:03:22:40 00:03:23:11
00:03:23:11 00:03:23:16		TO-COLLECT1^		speicherstadt
00:03:23:16 00:03:23:28
00:03:23:28 00:03:23:34		CITY2*
00:03:23:34 00:03:23:43
00:03:23:43 00:03:24:31		$PROD
00:03:24:31 00:03:24:41
00:03:24:41 00:03:24:43	I know a few restaurants there that have really good cooks.
00:03:24:43 00:03:25:04			$INDEX1*
00:03:25:04 00:03:25:10		RATHER1		lieber
00:03:25:10 00:03:25:16
00:03:25:16 00:03:25:21		$INDEX1
00:03:25:21 00:03:26:04		$INDEX1*
00:03:26:04 00:03:26:14
00:03:26:14 00:03:26:42		RESTAURANT1		restaurant
00:03:26:42 00:03:27:04
00:03:27:04 00:03:27:11			GOOD1	gut
00:03:27:11 00:03:27:16
00:03:27:16 00:03:27:46			TO-COOK3A	koch
00:03:27:46 00:03:28:00
00:03:28:00 00:03:28:06			$INDEX1
00:03:28:06 00:03:28:09
00:03:28:09 00:03:28:18	One of these chefs is top-class; he has already received 19 points!
00:03:28:18 00:03:28:28		$NUM-ONE-TO-TEN1A:1d*
00:03:28:28 00:03:28:40
00:03:28:40 00:03:28:43		GOOD1*
00:03:28:43 00:03:29:12
00:03:29:12 00:03:29:30			TO-COOK3A*
00:03:29:30 00:03:29:44
00:03:29:44 00:03:30:07		SPIKY1A		spitze
00:03:30:07 00:03:30:28
00:03:30:28 00:03:30:44		$NUM-TEEN1:9		neunzehn
00:03:30:44 00:03:30:49
00:03:30:49 00:03:31:05		POINT1C		punkt
00:03:31:05 00:03:31:11
00:03:31:11 00:03:31:22	That’s the record in Hamburg. It’s quite extraordinary.
00:03:31:22 00:03:31:29		SPIKY1A		spitze
00:03:31:29 00:03:31:35
00:03:31:35 00:03:32:16			AREA1A*	von hamburg
00:03:32:16 00:03:32:27
00:03:32:27 00:03:32:31		GOOD1*
00:03:32:31 00:03:32:35
00:03:32:35 00:03:32:42			PARTICULARLY1A	besonders
00:03:32:42 00:03:33:09
00:03:33:09 00:03:33:15	In the evening, you could go to Hafencity right after visiting Speicherstadt.
00:03:33:15 00:03:33:21		$INDEX1*
00:03:33:21 00:03:33:29
00:03:33:29 00:03:33:46		EVENING2		abend
00:03:33:46 00:03:34:05
00:03:34:05 00:03:34:09		LIGHT1*		licht
00:03:34:09 00:03:34:26
00:03:34:26 00:03:34:35		TO-COLLECT1^		speicherstadt
00:03:34:35 00:03:34:41
00:03:34:41 00:03:34:45		CITY2
00:03:34:45 00:03:35:07
00:03:35:07 00:03:35:25		LINK2		anschließend
00:03:35:25 00:03:35:37
00:03:35:37 00:03:35:46			HARBOUR1*	hafencity
00:03:35:46 00:03:36:03
00:03:36:03 00:03:36:10		DOWNTOWN1
00:03:36:10 00:03:36:16
00:03:36:16 00:03:36:46			SURROUNDING1A
00:03:36:46 00:03:37:01	The buildings there are unbelievable.
00:03:37:01 00:03:37:26		INCREDIBLE2*		unglaublich
00:03:37:26 00:03:37:40
00:03:37:40 00:03:38:08		TO-BUILD1*		bauen
00:03:38:08 00:03:38:19
00:03:38:19 00:03:38:38		$PROD
00:03:38:38 00:03:38:43
00:03:38:43 00:03:39:00	It showcases different styles of building architecture. That really is interesting.
00:03:39:00 00:03:39:12		TO-BUILD1*		bau
00:03:39:12 00:03:39:22
00:03:39:22 00:03:39:29		ARCHITECT2*		architekt
00:03:39:29 00:03:40:01
00:03:40:01 00:03:40:05		INTEREST1B*		interessant
00:03:40:05 00:03:40:10
00:03:40:10 00:03:40:31			TO-VISIT1
00:03:40:31 00:03:40:41
00:03:40:41 00:03:40:46	You just walk down this new lane by foot.
00:03:40:46 00:03:41:11		$ORAL^		dann
00:03:41:11 00:03:41:26
00:03:41:26 00:03:41:44		BY-FOOT1D		zu fuß
00:03:41:44 00:03:42:05
00:03:42:05 00:03:42:16			STRAIGHT-AHEAD1*
00:03:42:16 00:03:42:31
00:03:42:31 00:03:42:40		UNION1A^		neu
00:03:42:40 00:03:43:00
00:03:43:00 00:03:43:16		WAY3*		weg
00:03:43:16 00:03:43:23
00:03:43:23 00:03:43:29	Always going straight ahead, until you reach the river Elbe.
00:03:43:29 00:03:44:03		STRAIGHT-AHEAD1*
00:03:44:03 00:03:44:18
00:03:44:18 00:03:44:40			UNTIL-OR-TO1*	bis
00:03:44:40 00:03:45:06
00:03:45:06 00:03:45:13			$GEST-OFF1^*
00:03:45:13 00:03:45:29
00:03:45:29 00:03:45:42			ELBE-RIVER1	elbe
00:03:45:42 00:03:46:07
00:03:46:07 00:03:46:12	In earlier times some stretches of the walk led you away from the river so that you would have had some extra walk to get back there.
00:03:46:12 00:03:46:17		PAST-OR-BACK-THEN1		früher
00:03:46:17 00:03:46:26
00:03:46:26 00:03:46:28		EXTRA1*		extra
00:03:46:28 00:03:46:34
00:03:46:34 00:03:47:34		$PROD
00:03:47:34 00:03:47:40
00:03:47:40 00:03:47:47		BACK1A*		zurück
00:03:47:47 00:03:48:02
00:03:48:02 00:03:48:43		$PROD
00:03:48:43 00:03:49:08
00:03:49:08 00:03:49:10	The walk starts at Speicherstadt.	NOW1		jetzt
00:03:49:10 00:03:49:22
00:03:49:22 00:03:49:38		WAY2B		weg
00:03:49:38 00:03:49:46
00:03:49:46 00:03:50:03			TO-GO1A*
00:03:50:03 00:03:50:10
00:03:50:10 00:03:50:20			FROM-OR-BY-OR-OF2*	von
00:03:50:20 00:03:50:27
00:03:50:27 00:03:50:37		$GEST-OFF1^
00:03:50:37 00:03:51:03
00:03:51:03 00:03:51:11		TO-COLLECT1^		speicherstadt
00:03:51:11 00:03:51:19
00:03:51:19 00:03:51:24		CITY2
00:03:51:24 00:03:51:28
00:03:51:28 00:03:51:43	It’s always the same lane.
00:03:51:43 00:03:52:09		WAY2B		weg
00:03:52:09 00:03:52:21
00:03:52:21 00:03:52:45		SAME4		{das}selbe {das}selbe
00:03:52:45 00:03:53:09
00:03:53:09 00:03:53:17			STRAIGHT-AHEAD1
00:03:53:17 00:03:53:20
00:03:53:20 00:03:53:37	A sign will tell you how many kilometres you have to walk to get to the Treppenviertel [staircase quarter, part of town] in Blankenese.
00:03:53:37 00:03:54:03		SIGN1*
00:03:54:03 00:03:54:07
00:03:54:07 00:03:54:12		HOW-MUCH3A*		wie viel
00:03:54:12 00:03:54:15
00:03:54:15 00:03:54:23		KILOMETRE1*		kilometer
00:03:54:23 00:03:54:37
00:03:54:37 00:03:54:47			STRAIGHT-AHEAD1
00:03:54:47 00:03:55:04
00:03:55:04 00:03:55:31			UNTIL-OR-TO1*	bis
00:03:55:31 00:03:55:48
00:03:55:48 00:03:56:11			BLANKENESE1	blankenese
00:03:56:11 00:03:56:26
00:03:56:26 00:03:57:31			$PROD
00:03:57:31 00:03:57:43
00:03:57:43 00:03:58:00	The area is also famous for that.
00:03:58:00 00:03:58:11		WELL-KNOWN1A		bekannt
00:03:58:11 00:03:58:17
00:03:58:17 00:03:58:22		$INDEX1
00:03:58:22 00:03:58:26
00:03:58:26 00:03:58:30		$GEST-OFF1^
00:03:58:30 00:03:58:45
00:03:58:45 00:03:59:05	That’s what my tours look like.
00:03:59:05 00:03:59:10		LIKE-THIS1B*		so
00:03:59:10 00:03:59:20
00:03:59:20 00:03:59:45		TO-LEAD1A*		führung
00:03:59:45 00:03:59:48
00:03:59:48 00:04:00:01		$GEST-OFF1^
00:04:00:01 00:04:00:14
00:04:00:14 00:04:01:01					I don’t know any of that.	$GEST-NM-SHAKE-HEAD1^		hab kein ahnung
00:04:01:01 00:04:01:08	Next time, we will do a tour!
00:04:01:08 00:04:01:14		$ORAL^		muss
00:04:01:14 00:04:01:19
00:04:01:19 00:04:01:22		NEXT1		nächstes mal auf dich fü{hren}
00:04:01:22 00:04:01:25
00:04:01:25 00:04:01:33
00:04:01:33 00:04:01:39		ON-PERSON1
00:04:01:39 00:04:01:47
00:04:01:47 00:04:02:14		TO-LEAD1A*
00:04:02:14 00:04:02:18
00:04:02:18 00:04:02:22	I mean, Hamburg is your hometown.
00:04:02:22 00:04:02:24		YOUR1*		dein
00:04:02:24 00:04:02:33
00:04:02:33 00:04:02:46		HOMELAND2		heimat
00:04:02:46 00:04:03:11
00:04:03:11 00:04:03:17			HAMBURG1*	hamburg
00:04:03:17 00:04:03:44
00:04:03:44 00:04:04:04	I’ll take you on a tour.
00:04:04:04 00:04:04:11		NEXT1*		nächstes mal führen
00:04:04:11 00:04:04:18
00:04:04:18 00:04:04:27		TO-LEAD1A*
00:04:04:27 00:04:04:35
00:04:04:35 00:04:04:41		ON-PERSON1
00:04:04:41 00:04:05:09
00:04:05:09 00:04:05:22
00:04:05:22 00:04:05:30					Well, I don’t know much about Hamburg.
00:04:05:30 00:04:06:03						$GEST-NM-SHAKE-HEAD1^		nö
00:04:06:03 00:04:06:25
00:04:06:25 00:04:06:33						TO-GO-THERE1		hamburg
00:04:06:33 00:04:06:36
00:04:06:36 00:04:06:42						I2
00:04:06:42 00:04:06:46
00:04:06:46 00:04:07:01						$GEST-OFF1^*
00:04:07:01 00:04:07:22
00:04:07:22 00:04:09:07									Asks Informant A to put her cup down.
00:04:09:07 00:04:12:02
00:04:12:02 00:04:12:15	It’s quite interesting if you’re taking a look at Germany.
00:04:12:15 00:04:12:27		INTEREST1B	AREA1A	intere{ssant}
00:04:12:27 00:04:12:38
00:04:12:38 00:04:12:41		HAMBURG1*		ha{mburg}
00:04:12:41 00:04:12:49
00:04:12:49 00:04:13:03		TO-SAY1		sag
00:04:13:03 00:04:13:09
00:04:13:09 00:04:13:29		AREA1A^*		deutsch
00:04:13:29 00:04:13:33
00:04:13:33 00:04:13:36	For me, Hamburg is the best city to live in in all of Germany.
00:04:13:36 00:04:13:42		I1		für mich
00:04:13:42 00:04:14:04
00:04:14:04 00:04:14:12		HAMBURG1*		hamburg
00:04:14:12 00:04:14:25
00:04:14:25 00:04:14:34		BEAUTIFUL5		schönste
00:04:14:34 00:04:15:10
00:04:15:10 00:04:15:20		CITY2		stadt
00:04:15:20 00:04:15:31
00:04:15:31 00:04:15:37					I know that Hamburg is the city with the most green spaces in Germany.
00:04:15:37 00:04:15:39		TO-LIVE1C		leben
00:04:15:39 00:04:15:44						BUT1*		aber
00:04:15:44 00:04:15:49
00:04:15:49 00:04:16:02
00:04:16:02 00:04:16:06							I1	weiß
00:04:16:06 00:04:16:08		$GEST-OFF1^
00:04:16:08 00:04:16:12
00:04:16:12 00:04:16:18
00:04:16:18 00:04:16:28							TO-KNOW-STH2A
00:04:16:28 00:04:16:34
00:04:16:34 00:04:16:40							HAMBURG1*	hamburg
00:04:16:40 00:04:16:45
00:04:16:45 00:04:17:03							AREA1A^*
00:04:17:03 00:04:17:16
00:04:17:16 00:04:17:29							MOST1B	meistens
00:04:17:29 00:04:17:38
00:04:17:38 00:04:18:20							GREEN1A	grün
00:04:18:20 00:04:18:28						$ORAL^		von
00:04:18:28 00:04:19:10							AREA1A^*	deutschland
00:04:19:10 00:04:19:12	Yes, it has a lot of that.
00:04:19:12 00:04:19:17
00:04:19:17 00:04:19:24							MOST1B	meistens
00:04:19:24 00:04:19:28
00:04:19:28 00:04:19:31		MUCH1A		viel
00:04:19:31 00:04:19:34						$INDEX1
00:04:19:34 00:04:19:36
00:04:19:36 00:04:20:06
00:04:20:06 00:04:20:09
00:04:20:09 00:04:20:14		MUCH1A		viel
00:04:20:14 00:04:20:27		$GEST-NM-NOD-HEAD1^
00:04:20:27 00:04:20:43					Having the most green spaces doesn’t mean that everything is green here.
00:04:20:43 00:04:21:04							MOST1B	meisten
00:04:21:04 00:04:21:12
00:04:21:12 00:04:21:26							$INDEX-ORAL1
00:04:21:26 00:04:21:33
00:04:21:33 00:04:21:37							MEANING1	bedeutet
00:04:21:37 00:04:21:49
00:04:21:49 00:04:22:15
00:04:22:15 00:04:22:26						FULL2A		voll
00:04:22:26 00:04:22:35
00:04:22:35 00:04:23:01					We just have the most green spaces here. Hamburg is at the top in that regard.
00:04:23:01 00:04:23:10						MOST2		meist
00:04:23:10 00:04:23:15
00:04:23:15 00:04:23:32						GREEN1A		grün
00:04:23:32 00:04:23:40
00:04:23:40 00:04:24:11						AREA1A^*
00:04:24:11 00:04:24:19
00:04:24:19 00:04:24:33						HERE1*		hamburg
00:04:24:33 00:04:24:46
00:04:24:46 00:04:25:08						SPIKY1A		spitze
00:04:25:08 00:04:25:32
00:04:25:32 00:04:26:26
00:04:26:26 00:04:26:30					That’s true, isn’t it?
00:04:26:30 00:04:26:37							RIGHT-OR-AGREED1A	stimmt
00:04:26:37 00:04:26:39									Please explain in which areas it is as you said, please describe in more detail what you mean.
00:04:26:39 00:04:26:44						$GEST-OFF1^*
00:04:26:44 00:04:27:01
00:04:27:01 00:04:29:38
00:04:29:38 00:04:30:04					It means to say that for example we have the most streets lined with trees.
00:04:30:04 00:04:30:12						OPINION1B		meinst
00:04:30:12 00:04:30:27
00:04:30:27 00:04:30:37
00:04:30:37 00:04:30:41						MOST1B*		meistens
00:04:30:41 00:04:31:01
00:04:31:01 00:04:31:07						MEANING1*		bedeutet
00:04:31:07 00:04:31:14
00:04:31:14 00:04:31:33						TREE2B*		bäume
00:04:31:33 00:04:32:01
00:04:32:01 00:04:32:15						$PROD		straße
00:04:32:15 00:04:32:28
00:04:32:28 00:04:32:36	You mean around the Alster, in Poppenbüttel.
00:04:32:36 00:04:32:45						QUEUE-PERSONS1B^*		bäume
00:04:32:45 00:04:33:00		$ALPHA1:A		alster
00:04:33:00 00:04:33:06
00:04:33:06 00:04:33:22			CIRCLE2
00:04:33:22 00:04:33:27
00:04:33:27 00:04:33:31			OPINION1B	meinst du	No, in Hamburg in general!
00:04:33:31 00:04:33:40
00:04:33:40 00:04:33:43			$ALPHA1:A	alster
00:04:33:43 00:04:33:46
00:04:33:46 00:04:33:49			CIRCLE2*
00:04:33:49 00:04:34:05						GENERALLY1C		allgemein
00:04:34:05 00:04:34:22
00:04:34:22 00:04:34:28		PAPER1^*
00:04:34:28 00:04:34:34
00:04:34:34 00:04:34:40		$ALPHA1:P		poppenbüttel
00:04:34:40 00:04:34:45
00:04:34:45 00:04:34:48		$INDEX1
00:04:34:48 00:04:35:00
00:04:35:00 00:04:35:08		CIRCLE2*
00:04:35:08 00:04:35:15			AREA1A^*			hamburg
00:04:35:15 00:04:35:29
00:04:35:29 00:04:35:35
00:04:35:35 00:04:35:37					When you go to North Rhine-Westphalia you only see the tram, but what about trees?
00:04:35:37 00:04:35:39						YOU1
00:04:35:39 00:04:35:40
00:04:35:40 00:04:35:47
00:04:35:47 00:04:36:07						AREA1B^*		nordrhein-westfalen
00:04:36:07 00:04:36:16
00:04:36:16 00:04:36:24						MOVEMENT-OBJECT2^
00:04:36:24 00:04:36:40
00:04:36:40 00:04:36:44						ONLY2B		nur
00:04:36:44 00:04:36:49
00:04:36:49 00:04:37:04						STREETCAR1*		straßenbahn
00:04:37:04 00:04:37:10
00:04:37:10 00:04:37:29						$PROD
00:04:37:29 00:04:37:48
00:04:37:48 00:04:38:13						TO-PUT-LOCATION1^*		aber baum
00:04:38:13 00:04:38:18	Do you know what it’s like in Munich?
00:04:38:18 00:04:38:30
00:04:38:30 00:04:38:31			MUNICH1A*	münchen
00:04:38:31 00:04:38:39						WHERE2		wo
00:04:38:39 00:04:38:45
00:04:38:45 00:04:38:49			I1
00:04:38:49 00:04:39:00
00:04:39:00 00:04:39:05
00:04:39:05 00:04:39:11			QUESTION1*	frag
00:04:39:11 00:04:39:28
00:04:39:28 00:04:39:31			MUNICH1A*	münchen
00:04:39:31 00:04:39:33
00:04:39:33 00:04:39:36			$GEST-OFF1^*
00:04:39:36 00:04:40:05
00:04:40:05 00:04:40:38
00:04:40:38 00:04:41:01					You can fly to the different towns, look at everything and answer me then.
00:04:41:01 00:04:41:03						YOU1		du
00:04:41:03 00:04:41:05
00:04:41:05 00:04:41:23						$PROD
00:04:41:23 00:04:41:28
00:04:41:28 00:04:41:47						TO-VISIT1*
00:04:41:47 00:04:42:03
00:04:42:03 00:04:42:22						$PROD
00:04:42:22 00:04:42:27
00:04:42:27 00:04:42:40						TO-VISIT1*
00:04:42:40 00:04:43:02
00:04:43:02 00:04:43:03	Do you know/
00:04:43:03 00:04:43:15						ANSWER1*		antwort
00:04:43:15 00:04:43:20			TO-KNOW-STH2B*	weißt du
00:04:43:20 00:04:43:30
00:04:43:30 00:04:43:42		TO-GIVE3A^*
00:04:43:42 00:04:44:14
00:04:44:14 00:04:44:33	So, Hamburg is the greenest, because there are so many trees lining the streets.
00:04:44:33 00:04:44:40		HAMBURG1*		hamburg
00:04:44:40 00:04:45:04			CIRCLE2*
00:04:45:04 00:04:45:09
00:04:45:09 00:04:45:17		REASON4A		grund
00:04:45:17 00:04:45:32
00:04:45:32 00:04:45:40		MORE1*		mehr
00:04:45:40 00:04:46:04
00:04:46:04 00:04:46:08			GREEN1A*	grün
00:04:46:08 00:04:46:17
00:04:46:17 00:04:46:29		AVENUE1*
00:04:46:29 00:04:47:10
00:04:47:10 00:04:47:26	That’s in Poppenbüttel and around the Alster.
00:04:47:26 00:04:47:33		$ALPHA1:P*		poppenbüttel
00:04:47:33 00:04:47:38
00:04:47:38 00:04:48:09		AREA1A^
00:04:48:09 00:04:48:21
00:04:48:21 00:04:48:37		$LIST1:2of2d
00:04:48:37 00:04:48:42
00:04:48:42 00:04:49:10		CIRCLE2*
00:04:49:10 00:04:49:15
00:04:49:15 00:04:49:23		ALSTER1*		alster
00:04:49:23 00:04:49:24
00:04:49:24 00:04:49:28		$ALPHA1:A
00:04:49:28 00:04:49:31
00:04:49:31 00:04:49:37		ALSTER1*
00:04:49:37 00:04:49:40
00:04:49:40 00:04:50:17		CIRCLE2
00:04:50:17 00:04:50:22
00:04:50:22 00:04:50:27	In the West/
00:04:50:27 00:04:50:34		$LIST1:3of3d
00:04:50:34 00:04:50:45
00:04:50:45 00:04:50:49			SHORT4
00:04:50:49 00:04:51:11
00:04:51:11 00:04:51:35			NEXT-TO1A*
00:04:51:35 00:04:51:42
00:04:51:42 00:04:52:04		$PROD
00:04:52:04 00:04:52:16				Yes, there are trees everywhere.
00:04:52:16 00:04:52:27	There isn’t that much in the South, but the East is quite green.
00:04:52:27 00:04:52:33		SOUTH1B*			süd
00:04:52:33 00:04:52:36						AREA1D^*
00:04:52:36 00:04:52:43
00:04:52:43 00:04:52:47		$PROD
00:04:52:47 00:04:53:05
00:04:53:05 00:04:53:17			VERY6				[MG]
00:04:53:17 00:04:53:21
00:04:53:21 00:04:53:28
00:04:53:28 00:04:53:29					Look!
00:04:53:29 00:04:53:39						$GEST-ATTENTION1^
00:04:53:39 00:04:54:05		NEXT-TO1A
00:04:54:05 00:04:54:13
00:04:54:13 00:04:54:16
00:04:54:16 00:04:54:17					In North Rhine-Westphalia, the cities are all grey.
00:04:54:17 00:04:54:23		MUCH1A		viel		YOU1		du
00:04:54:23 00:04:54:27
00:04:54:27 00:04:54:30
00:04:54:30 00:04:54:37						AREA1B		nordrhein-westfal{en}
00:04:54:37 00:04:54:44
00:04:54:44 00:04:54:46		GREEN1A*		grün
00:04:54:46 00:04:55:06			THERE1*
00:04:55:06 00:04:55:07
00:04:55:07 00:04:55:11
00:04:55:11 00:04:55:20						VERY7		[MG]
00:04:55:20 00:04:55:26
00:04:55:26 00:04:55:41						GREY1		grau
00:04:55:41 00:04:55:47
00:04:55:47 00:04:56:04						CITY2		stadt
00:04:56:04 00:04:56:10
00:04:56:10 00:04:56:14						$INDEX1
00:04:56:14 00:04:56:33
00:04:56:33 00:04:57:03
00:04:57:03 00:04:57:14	Yes, but I’m not interested in comparing it to North Rhine-Westphalia.
00:04:57:14 00:04:57:18			I1
00:04:57:18 00:04:57:47
00:04:57:47 00:04:58:16			$INDEX1	nord{rhein}-westfalen vergleich
00:04:58:16 00:04:58:33
00:04:58:33 00:04:59:00		COMPARISON1C
00:04:59:00 00:04:59:04
00:04:59:04 00:04:59:08			I1*
00:04:59:08 00:04:59:14
00:04:59:14 00:04:59:23			INTEREST1A*	[MG]
00:04:59:23 00:04:59:31
00:04:59:31 00:04:59:40			NOT5*	[MG]
00:04:59:40 00:04:59:47
00:04:59:47 00:04:59:49	I wanted to compare Munich and Hamburg to one another.
00:04:59:49 00:05:00:03			I1
00:05:00:03 00:05:00:12		$ORAL^		aber
00:05:00:12 00:05:00:13
00:05:00:13 00:05:00:25		COMPARISON1C		vergleich
00:05:00:25 00:05:00:29
00:05:00:29 00:05:00:33		WITH1B		mit
00:05:00:33 00:05:00:41
00:05:00:41 00:05:00:48		MUNICH1A*		münchen
00:05:00:48 00:05:01:04
00:05:01:04 00:05:02:07		$INDEX1*
00:05:02:07 00:05:02:12
00:05:02:12 00:05:02:22	Munich has a lot of green spaces; that’s what it’s like in Bavaria.
00:05:02:22 00:05:02:25			MUNICH1A*	münchen
00:05:02:25 00:05:02:33
00:05:02:33 00:05:02:39			MUCH1A	viel
00:05:02:39 00:05:02:42
00:05:02:42 00:05:03:00			GREEN1A	grün
00:05:03:00 00:05:03:06
00:05:03:06 00:05:03:30			AREA1A*
00:05:03:30 00:05:03:39		BAVARIA3*		bayern
00:05:03:39 00:05:03:46
00:05:03:46 00:05:04:21			AREA1A
00:05:04:21 00:05:04:27	But Hamburg is more diverse.	$INDEX1		aber
00:05:04:27 00:05:04:36
00:05:04:36 00:05:04:44		HAMBURG1*		hamburg
00:05:04:44 00:05:05:03
00:05:05:03 00:05:05:09		MORE1*		mehr
00:05:05:09 00:05:05:26
00:05:05:26 00:05:05:35		ALTERNATION1*		abwechs{lungs}reich
00:05:05:35 00:05:06:03
00:05:06:03 00:05:06:13			RICH3
00:05:06:13 00:05:06:22
00:05:06:22 00:05:06:48			AREA1F
00:05:06:48 00:05:07:06	The city is beautiful and partly built on water, especially in the centre. It’s quite special, having all that water in the centre.	BEAUTIFUL1A*	AREA1A	schön
00:05:07:06 00:05:07:12
00:05:07:12 00:05:07:23		CITY2*		stadt
00:05:07:23 00:05:07:30
00:05:07:30 00:05:07:40			AREA1F
00:05:07:40 00:05:08:08
00:05:08:08 00:05:08:17			WATER1	wasser
00:05:08:17 00:05:08:31
00:05:08:31 00:05:08:41			ROUND3A^*	hamburg
00:05:08:41 00:05:08:45
00:05:08:45 00:05:08:46		$NUM-ONE-TO-TEN1A:1d*
00:05:08:46 00:05:09:04
00:05:09:04 00:05:09:15		MIDDLE2B*		mitte
00:05:09:15 00:05:09:21
00:05:09:21 00:05:09:37			ROUND3A^*
00:05:09:37 00:05:10:00
00:05:10:00 00:05:10:13		WEIRD-STRANGE1		[MG]
00:05:10:13 00:05:10:20
00:05:10:20 00:05:10:28			WATER1	wasser
00:05:10:28 00:05:10:38
00:05:10:38 00:05:11:04			ROUND3A^
00:05:11:04 00:05:11:15
00:05:11:15 00:05:11:27		WEIRD-STRANGE1		[MG]
00:05:11:27 00:05:11:34
00:05:11:34 00:05:11:42	That’s one thing that is special about Hamburg.
00:05:11:42 00:05:11:48		HAMBURG1*		hamburg
00:05:11:48 00:05:12:02			TO-BELONG1^
00:05:12:02 00:05:12:14		PARTICULARLY1A		besonder
00:05:12:14 00:05:12:18			$INDEX1
00:05:12:18 00:05:12:25		$INDEX1
00:05:12:25 00:05:12:30
00:05:12:30 00:05:12:37	Munich also has a river running through the city, but that’s different.
00:05:12:37 00:05:12:40			MUNICH1A*	münchen
00:05:12:40 00:05:13:14
00:05:13:14 00:05:13:40			RIVER1*	fluss
00:05:13:40 00:05:13:46
00:05:13:46 00:05:14:04		$GEST-DECLINE1^		was and{ers}
00:05:14:04 00:05:14:10
00:05:14:10 00:05:14:19		DIFFERENT1*
00:05:14:19 00:05:14:30
00:05:14:30 00:05:14:40	I just consider Hamburg to be more diverse.
00:05:14:40 00:05:14:48			ROUND3A^
00:05:14:48 00:05:15:10
00:05:15:10 00:05:15:23			I1*	für mich
00:05:15:23 00:05:16:25
00:05:16:25 00:05:16:31			HAMBURG1*	hamburg
00:05:16:31 00:05:16:33
00:05:16:33 00:05:16:35			$NUM-ONE-TO-TEN1A:1d
00:05:16:35 00:05:16:46
00:05:16:46 00:05:16:48			BEST1*	b{este}
00:05:16:48 00:05:17:08
00:05:17:08 00:05:17:25		ALTERNATION1		abwechs{lungs}reich
00:05:17:25 00:05:17:38
00:05:17:38 00:05:18:02			RICH3
00:05:18:02 00:05:18:22
00:05:18:22 00:05:18:40	There’s the Reeperbahn, the nightlife, the green areas, the Alster, what else do we have?
00:05:18:40 00:05:19:02			REEPERBAHN1	reeperbahn
00:05:19:02 00:05:19:16
00:05:19:16 00:05:19:39		EVENING2		abend
00:05:19:39 00:05:20:14
00:05:20:14 00:05:20:28			GREEN1A	grün
00:05:20:28 00:05:20:41
00:05:20:41 00:05:21:00		EVENING2*
00:05:21:00 00:05:21:03
00:05:21:03 00:05:21:34			CIRCLE2	alster
00:05:21:34 00:05:21:41
00:05:21:41 00:05:22:00		$GEST-OFF1^
00:05:22:00 00:05:23:27
00:05:23:27 00:05:23:46	What could I say about events?
00:05:23:46 00:05:24:19		TO-CELEBRATE1A^		vergnügen
00:05:24:19 00:05:24:36
00:05:24:36 00:05:24:45			TO-SAY1	kann man sa{gen}
00:05:24:45 00:05:25:12
00:05:25:12 00:05:25:29	So/	GOOD1^*
00:05:25:29 00:05:25:45
00:05:25:45 00:05:26:01			$INDEX1
00:05:26:01 00:05:26:06
00:05:26:06 00:05:26:12	The apartments also have different styles; new buildings and older buildings are mixed.
00:05:26:12 00:05:26:24		APARTMENT2B		wohnen
00:05:26:24 00:05:26:33
00:05:26:33 00:05:27:00		DISTINCT1		[MG]
00:05:27:00 00:05:27:14
00:05:27:14 00:05:27:25			STYLE2	stil
00:05:27:25 00:05:27:38
00:05:27:38 00:05:27:45		NEW1B		neubau
00:05:27:45 00:05:28:08
00:05:28:08 00:05:28:29		TO-BUILD1*
00:05:28:29 00:05:28:42
00:05:28:42 00:05:29:00			OLD8B	alt
00:05:29:00 00:05:29:16		TO-SWARM1^
00:05:29:16 00:05:29:28
00:05:29:28 00:05:29:29	I feel a little bit like what I’m saying about Hamburg is somehow boring.
00:05:29:29 00:05:29:35			I2
00:05:29:35 00:05:30:00
00:05:30:00 00:05:30:04			I1*
00:05:30:04 00:05:30:22
00:05:30:22 00:05:30:41		TO-SIGN1A		[MG]
00:05:30:41 00:05:31:08
00:05:31:08 00:05:31:23		$ORAL^		für
00:05:31:23 00:05:31:26		HEADING1^*
00:05:31:26 00:05:31:34
00:05:31:34 00:05:31:40			HAMBURG1*	hamburg
00:05:31:40 00:05:31:49
00:05:31:49 00:05:32:04			BIT1B*	bisschen
00:05:32:04 00:05:32:11
00:05:32:11 00:05:32:22		$GEST-DECLINE1^		[MG]
00:05:32:22 00:05:32:31
00:05:32:31 00:05:32:35		I2
00:05:32:35 00:05:32:41
00:05:32:41 00:05:32:43		FEELING3*		[MG]
00:05:32:43 00:05:33:04
00:05:33:04 00:05:33:09		$GEST-DECLINE1^		[MG]
00:05:33:09 00:05:33:17
00:05:33:17 00:05:33:26		BOREDOM1		langweilig
00:05:33:26 00:05:33:33
00:05:33:33 00:05:33:35		I2*
00:05:33:35 00:05:33:40
00:05:33:40 00:05:33:44		$GEST-OFF1^
00:05:33:44 00:05:34:12
00:05:34:12 00:05:37:07
00:05:37:07 00:05:37:18					The cameras are still running, right?
00:05:37:18 00:05:37:27							MOVIE3*	film
00:05:37:27 00:05:37:30
00:05:37:30 00:05:37:45							TO-RUN-MACHINE2	läuft
00:05:37:45 00:05:38:02
00:05:38:02 00:05:38:07							STILL4A*	[MG]
00:05:38:07 00:05:38:12									Sure, they continue filming.
00:05:38:12 00:05:38:22
00:05:38:22 00:05:39:22
00:05:39:22 00:05:39:35					So/
00:05:39:35 00:05:39:38							$INDEX1
00:05:39:38 00:05:39:39
00:05:39:39 00:05:40:25
00:05:40:25 00:05:40:41						$INDEX1
00:05:40:41 00:05:44:35
00:05:44:35 00:05:44:47					For example, I think that Hamburg has a lot of very different churches all around the city/
00:05:44:47 00:05:45:19						EXAMPLE1		beispiel
00:05:45:19 00:05:46:12
00:05:46:12 00:05:46:18						HAMBURG1*		ha{mburg}
00:05:46:18 00:05:46:21
00:05:46:21 00:05:46:24						I1		ich
00:05:46:24 00:05:46:34
00:05:46:34 00:05:46:40						TO-BELIEVE2A		glaube
00:05:46:40 00:05:46:45
00:05:46:45 00:05:47:01						HAMBURG1*		hamburg
00:05:47:01 00:05:47:11
00:05:47:11 00:05:47:26						MUCH1A		viel
00:05:47:26 00:05:47:32
00:05:47:32 00:05:48:02						CHURCH2A*		kirche
00:05:48:02 00:05:48:10
00:05:48:10 00:05:48:27						VERY6		[MG]
00:05:48:27 00:05:48:34
00:05:48:34 00:05:49:05						$INDEX1*
00:05:49:05 00:05:49:38	Yes, of very different faiths.	DISTINCT1		verschieden
00:05:49:38 00:05:49:39
00:05:49:39 00:05:49:47
00:05:49:47 00:05:49:48		TO-BELIEVE4		glauben
00:05:49:48 00:05:50:18						DISTINCT1		verschieden
00:05:50:18 00:05:50:31
00:05:50:31 00:05:50:35
00:05:50:35 00:05:50:41		DISTINCT1		ve{rschieden}	No, I didn’t mean different faiths.
00:05:50:41 00:05:50:46						NO1A		nein
00:05:50:46 00:05:51:01
00:05:51:01 00:05:51:08		TO-PRAY1A^*
00:05:51:08 00:05:51:11						NOT3A		nicht
00:05:51:11 00:05:51:19
00:05:51:19 00:05:51:25						TO-BELIEVE4		glauben
00:05:51:25 00:05:51:29
00:05:51:29 00:05:51:37						NO1B*
00:05:51:37 00:05:51:42					I mean the different churches, like St. Michaelis, St. Nikolai, St. Katharinen and so on.
00:05:51:42 00:05:52:03						CHURCH2A		kirche
00:05:52:03 00:05:52:15
00:05:52:15 00:05:52:28						NAME1A		name
00:05:52:28 00:05:52:35
00:05:52:35 00:05:52:44						$LIST1:1of1d
00:05:52:44 00:05:53:09
00:05:53:09 00:05:53:38						$ALPHA1:S		sankt michael{is}
00:05:53:38 00:05:53:46
00:05:53:46 00:05:54:05						$LIST1:2of2d
00:05:54:05 00:05:54:15
00:05:54:15 00:05:54:30						$ALPHA1:S		sankt nikolai
00:05:54:30 00:05:54:49
00:05:54:49 00:05:55:13						CATHEDRAL1^*
00:05:55:13 00:05:55:23
00:05:55:23 00:05:55:29						$LIST1:3of3d
00:05:55:29 00:05:55:38
00:05:55:38 00:05:55:42						$ALPHA1:S		sankt katharina
00:05:55:42 00:05:55:49
00:05:55:49 00:05:56:03						$ALPHA1:K
00:05:56:03 00:05:56:09
00:05:56:09 00:05:57:02						$PROD
00:05:57:02 00:05:57:21
00:05:57:21 00:05:58:48						$LIST1:4of4d		[MG]
00:05:58:48 00:05:59:14	During the night of the churches there were all different kinds of faiths present.
00:05:59:14 00:05:59:26		DISTINCT1		[MG]
00:05:59:26 00:05:59:28
00:05:59:28 00:05:59:38		TO-PRAY1A^		glaube
00:05:59:38 00:05:59:46
00:05:59:46 00:06:00:01		LIKE-HOW1B		wie
00:06:00:01 00:06:00:07
00:06:00:07 00:06:00:22		NIGHT2		nacht
00:06:00:22 00:06:00:31
00:06:00:31 00:06:01:01		CHURCH2B		kirche
00:06:01:01 00:06:01:24
00:06:01:24 00:06:01:25	Did you attend the night of the churches?
00:06:01:25 00:06:01:32		NIGHT2		nacht
00:06:01:32 00:06:01:37					Seven/ What? No.	$NUM-ONE-TO-TEN1A:7d*		sieben
00:06:01:37 00:06:01:42
00:06:01:42 00:06:01:45			$INDEX1	der
00:06:01:45 00:06:02:01
00:06:02:01 00:06:02:11		CHURCH2B		kirche
00:06:02:11 00:06:02:20
00:06:02:20 00:06:02:27			BEEN1	gewesen
00:06:02:27 00:06:02:32
00:06:02:32 00:06:02:48			YOU1
00:06:02:48 00:06:03:12						$ORAL^		was
00:06:03:12 00:06:03:22
00:06:03:22 00:06:03:36	The night of the churches! Different kinds of faith were represented there.
00:06:03:36 00:06:03:40		NIGHT2		nacht
00:06:03:40 00:06:03:49						$GEST-NM-SHAKE-HEAD1^		nein
00:06:03:49 00:06:04:11
00:06:04:11 00:06:04:14		$ALPHA1:D		der		$GEST-NM-SHAKE-HEAD1^
00:06:04:14 00:06:04:29
00:06:04:29 00:06:04:37		CHURCH2B		kirche
00:06:04:37 00:06:04:39
00:06:04:39 00:06:05:06
00:06:05:06 00:06:05:12		TO-DRIVE3
00:06:05:12 00:06:05:28
00:06:05:28 00:06:05:46		DISTINCT1		[MG] verschie{den}
00:06:05:46 00:06:06:04
00:06:06:04 00:06:06:07		TO-BELIEVE4		glauben
00:06:06:07 00:06:06:13
00:06:06:13 00:06:06:25		DIRECTION1
00:06:06:25 00:06:06:31
00:06:06:31 00:06:06:38	Muslims, Jews, different faiths, and all were there.
00:06:06:38 00:06:07:11		MUSLIM1*		moslem
00:06:07:11 00:06:07:31
00:06:07:31 00:06:07:36			$INDEX1*
00:06:07:36 00:06:08:03
00:06:08:03 00:06:08:18		JEW1		juden
00:06:08:18 00:06:08:40
00:06:08:40 00:06:09:15		PRESENT-OR-HERE1*		da da
00:06:09:15 00:06:09:22
00:06:09:22 00:06:09:34		DISTINCT1		[MG]	Yes, right!
00:06:09:34 00:06:09:41						$GEST-ATTENTION1^
00:06:09:41 00:06:09:45
00:06:09:45 00:06:10:04						YES2		ja
00:06:10:04 00:06:10:23
00:06:10:23 00:06:10:26
00:06:10:26 00:06:10:28
00:06:10:28 00:06:10:33					I saw these churches with all the lights on the front.
00:06:10:33 00:06:10:38						BUT1		aber
00:06:10:38 00:06:10:44
00:06:10:44 00:06:10:48						VIEW2*
00:06:10:48 00:06:11:10
00:06:11:10 00:06:11:30						TO-SPOT2		blick
00:06:11:30 00:06:11:49
00:06:11:49 00:06:12:09						CHURCH2A		kirche
00:06:12:09 00:06:12:21
00:06:12:21 00:06:12:31						$INDEX1*		[MG]
00:06:12:31 00:06:12:39
00:06:12:39 00:06:14:02						LAMP1B*		lampe lampe lampe lampe lampe
00:06:14:02 00:06:14:07
00:06:14:07 00:06:14:09					There were lots of them.
00:06:14:09 00:06:14:17						MUCH1A		viel
00:06:14:17 00:06:14:32						$INDEX1*
00:06:14:32 00:06:15:14
00:06:15:14 00:06:15:29	Very many different faiths and churches were represented there.
00:06:15:29 00:06:15:32			HAMBURG2*	hamburg
00:06:15:32 00:06:15:37
00:06:15:37 00:06:15:45			VERY6*	[MG]
00:06:15:45 00:06:15:48
00:06:15:48 00:06:16:03			MUCH1C*	viel
00:06:16:03 00:06:16:12
00:06:16:12 00:06:16:34		DISTINCT1		verschieden
00:06:16:34 00:06:16:47
00:06:16:47 00:06:17:05		TO-PRAY1A^		glaube
00:06:17:05 00:06:17:14
00:06:17:14 00:06:17:17		AND2A		und
00:06:17:17 00:06:17:23
00:06:17:23 00:06:17:29		DISTINCT1		verschie{den}
00:06:17:29 00:06:17:35
00:06:17:35 00:06:17:41		CHURCH2B*		kirche
00:06:17:41 00:06:17:49
00:06:17:49 00:06:18:10		ALL2A^
00:06:18:10 00:06:18:25	Very many, that’s true. Some of them were hidden.	VERY6		[MG]
00:06:18:25 00:06:18:32
00:06:18:32 00:06:18:37		MUCH1A		viel
00:06:18:37 00:06:18:43
00:06:18:43 00:06:19:02		RIGHT-OR-AGREED1A*		stimmt
00:06:19:02 00:06:19:10
00:06:19:10 00:06:19:36		TO-HIDE2*		versteckt
00:06:19:36 00:06:19:46
00:06:19:46 00:06:20:04	But, I’m sorry, I’m not actually that interested in visiting churches.
00:06:20:04 00:06:20:16			I1*	aber ich
00:06:20:16 00:06:20:36
00:06:20:36 00:06:20:44		I-AM-SORRY2*		tut mir leid
00:06:20:44 00:06:20:49
00:06:20:49 00:06:21:04		SUBJECT1*
00:06:21:04 00:06:21:10
00:06:21:10 00:06:21:17		CHURCH2C		kirche
00:06:21:17 00:06:21:26
00:06:21:26 00:06:21:40			TO-VISIT1
00:06:21:40 00:06:22:01
00:06:22:01 00:06:22:10			INTEREST1B	[MG]
00:06:22:10 00:06:22:15					I’m not interested in that either.
00:06:22:15 00:06:22:24
00:06:22:24 00:06:22:28			NOT5*
00:06:22:28 00:06:22:32						NO-INTEREST1*
00:06:22:32 00:06:22:38
00:06:22:38 00:06:22:46
00:06:22:46 00:06:22:49			I1
00:06:22:49 00:06:23:08
00:06:23:08 00:06:23:15							$GEST-ATTENTION1^*
00:06:23:15 00:06:23:20
00:06:23:20 00:06:23:27
00:06:23:27 00:06:23:32						I2
00:06:23:32 00:06:23:43
00:06:23:43 00:06:24:04						I1		ich
00:06:24:04 00:06:24:11
00:06:24:11 00:06:24:17						ALSO1A		auch
00:06:24:17 00:06:24:18
00:06:24:18 00:06:24:24						NOT3A		nicht
00:06:24:24 00:06:24:29
00:06:24:29 00:06:24:38						NO-INTEREST1		[MG]
00:06:24:38 00:06:24:40					But our teachers used to force us to visit these churches.
00:06:24:40 00:06:24:46						PAST-OR-BACK-THEN1*		früher
00:06:24:46 00:06:25:06
00:06:25:06 00:06:25:12						TEACHER1*		lehrer
00:06:25:12 00:06:25:20
00:06:25:20 00:06:25:23						$INDEX1
00:06:25:23 00:06:25:29
00:06:25:29 00:06:25:38						COMPULSION1		[MG]
00:06:25:38 00:06:26:06
00:06:26:06 00:06:26:14						MUST1		muss
00:06:26:14 00:06:26:16
00:06:26:16 00:06:26:20						I1
00:06:26:20 00:06:26:30
00:06:26:30 00:06:26:46						TO-LOOK-AT4^*
00:06:26:46 00:06:27:01
00:06:27:01 00:06:27:06						CHURCH2A		kirche
00:06:27:06 00:06:27:12
00:06:27:12 00:06:27:17					We had to endure it, but that’s how I remember so many of them.
00:06:27:17 00:06:27:21						I2
00:06:27:21 00:06:27:27
00:06:27:27 00:06:28:01						TO-ACCEPT-STH3B		[MG]
00:06:28:01 00:06:28:08
00:06:28:08 00:06:28:36						TO-VISIT1
00:06:28:36 00:06:29:02						$GEST-NM-NOD-HEAD1^		[MG]
00:06:29:02 00:06:29:10
00:06:29:10 00:06:29:16						BIT1B*		biss{chen}
00:06:29:16 00:06:29:22
00:06:29:22 00:06:29:40						TO-REMEMBER2*		[MG]
00:06:29:40 00:06:30:15
00:06:30:15 00:06:30:18
00:06:30:18 00:06:30:29	Okay, so let me ask you again: you haven’t seen the head of Samuel Heinicke yet, have you?
00:06:30:29 00:06:30:32			I2	möchte
00:06:30:32 00:06:30:41
00:06:30:41 00:06:30:47			QUESTION1	frage
00:06:30:47 00:06:30:49
00:06:30:49 00:06:31:03			YOU1*
00:06:31:03 00:06:31:08
00:06:31:08 00:06:31:16			UNTIL-NOW1	bis jetzt
00:06:31:16 00:06:31:27
00:06:31:27 00:06:31:35			$NUM-ONE-TO-TEN1A:1	nicht einmal
00:06:31:35 00:06:32:01
00:06:32:01 00:06:32:24			$ALPHA1:S	samuel heinick{e}
00:06:32:24 00:06:32:38
00:06:32:38 00:06:33:16			MASK3^*	kopf
00:06:33:16 00:06:33:29
00:06:33:29 00:06:33:31			$NUM-ONE-TO-TEN1A:1	nicht einmal
00:06:33:31 00:06:33:37
00:06:33:37 00:06:33:44			TO-SEE1
00:06:33:44 00:06:34:04
00:06:34:04 00:06:34:11			TO-LOOK-AT3^
00:06:34:11 00:06:34:13
00:06:34:13 00:06:34:27	In Eppendorf?	$ORAL^		in
00:06:34:27 00:06:34:28
00:06:34:28 00:06:34:39			EPPENDORF1*	eppendorf
00:06:34:39 00:06:34:49
00:06:34:49 00:06:35:04			$INDEX1
00:06:35:04 00:06:35:30
00:06:35:30 00:06:36:06	That’s odd.
00:06:36:06 00:06:37:17					No.	$GEST-NM-SHAKE-HEAD1^
00:06:37:17 00:06:38:10		$GEST-NM-SHAKE-HEAD1^		komisch
00:06:38:10 00:06:38:22
00:06:38:22 00:06:38:37
00:06:38:37 00:06:39:07	Many people have never seen the monument and the inscription in golden letters.
00:06:39:07 00:06:39:13			MUCH1A	viel
00:06:39:13 00:06:39:19
00:06:39:19 00:06:39:34			AREA1A
00:06:39:34 00:06:39:38
00:06:39:38 00:06:40:20			NEVER-BEFORE1	noch nie
00:06:40:20 00:06:40:41
00:06:40:41 00:06:40:44			MASK3^*	samuel heinick{e}
00:06:40:44 00:06:40:49
00:06:40:49 00:06:41:08			$PROD
00:06:41:08 00:06:41:24
00:06:41:24 00:06:41:27		$INDEX1*
00:06:41:27 00:06:41:33
00:06:41:33 00:06:41:42		GOLD3B*		gold
00:06:41:42 00:06:41:47
00:06:41:47 00:06:42:01		TO-WRITE1B*		schrift
00:06:42:01 00:06:42:11
00:06:42:11 00:06:42:40			TO-WRITE2E
00:06:42:40 00:06:42:45	It is in Eppendorf, where the first school for the deaf used to be.
00:06:42:45 00:06:43:05		EPPENDORF1		eppendorf
00:06:43:05 00:06:43:15
00:06:43:15 00:06:43:23			PAST-OR-BACK-THEN1	früher
00:06:43:23 00:06:43:33
00:06:43:33 00:06:43:41			FIRST-OF-ALL1C	erst
00:06:43:41 00:06:44:01
00:06:44:01 00:06:44:05			DEAF1A*
00:06:44:05 00:06:44:15
00:06:44:15 00:06:44:17		SCHOOL1A*		schule
00:06:44:17 00:06:44:30
00:06:44:30 00:06:45:03		$PROD
00:06:45:03 00:06:45:38		$GEST^
00:06:45:38 00:06:45:43	The school has been taken down, but now there’s the monument instead.
00:06:45:43 00:06:46:11		GONE-VANISHED1		[MG]
00:06:46:11 00:06:46:16
00:06:46:16 00:06:46:23		$INDEX1
00:06:46:23 00:06:46:41
00:06:46:41 00:06:47:07	Next time, I will show you.
00:06:47:07 00:06:47:19		NEXT1		nächstes mal
00:06:47:19 00:06:47:29
00:06:47:29 00:06:47:47		TO-LEAD1A*		führen
00:06:47:47 00:06:48:04
00:06:48:04 00:06:48:21		THIS1A*		samuel heinick{e}
00:06:48:21 00:06:48:39
00:06:48:39 00:06:50:22
00:06:50:22 00:06:50:37					As typical of northern Germany, people in Hamburg speak Hochdeutsch [high German dialects].
00:06:50:37 00:06:50:45						HAMBURG1*		hamburg
00:06:50:45 00:06:51:05
00:06:51:05 00:06:51:17						TYPICAL1*		typisch
00:06:51:17 00:06:51:22
00:06:51:22 00:06:51:32						AREA1A^*
00:06:51:32 00:06:51:47
00:06:51:47 00:06:52:06						NORTH1B*		norddeutsch
00:06:52:06 00:06:52:17
00:06:52:17 00:06:52:23						GERMAN1
00:06:52:23 00:06:53:15
00:06:53:15 00:06:53:25						HIGH6		hochdeutsch
00:06:53:25 00:06:53:36
00:06:53:36 00:06:53:45						GERMAN1
00:06:53:45 00:06:54:05
00:06:54:05 00:06:54:18						LANGUAGE1		sprach
00:06:54:18 00:06:54:22
00:06:54:22 00:06:54:28						$GEST-OFF1^
00:06:54:28 00:06:54:36
00:06:54:36 00:06:55:20						AREA1B*
00:06:55:20 00:06:55:28
00:06:55:28 00:06:55:38						$GEST-OFF1^
00:06:55:38 00:06:56:04
00:06:56:04 00:06:56:18					But before, people liked to use Low German much more.	$ORAL^		auch
00:06:56:18 00:06:56:28						TO-OWN1		[MG]
00:06:56:28 00:06:56:45
00:06:56:45 00:06:57:07						OLD4B		alt
00:06:57:07 00:06:57:14
00:06:57:14 00:06:57:23						PAST-OR-BACK-THEN1*
00:06:57:23 00:06:57:37
00:06:57:37 00:06:58:03						POPULAR1		{be}liebt
00:06:58:03 00:06:58:14
00:06:58:14 00:06:58:31						MUCH1A	AREA1A*	viel
00:06:58:31 00:06:58:36
00:06:58:36 00:06:58:48						WHAT1B*		was
00:06:58:48 00:06:59:24
00:06:59:24 00:06:59:41						FLAT2		plattdeutsch
00:06:59:41 00:07:00:00
00:07:00:00 00:07:00:09						GERMAN1
00:07:00:09 00:07:00:28
00:07:00:28 00:07:00:33						$INDEX1*
00:07:00:33 00:07:00:42
00:07:00:42 00:07:00:45					My mom also really loves Low German.
00:07:00:45 00:07:00:49						I2
00:07:00:49 00:07:01:08
00:07:01:08 00:07:01:15						MUM1B*		mama
00:07:01:15 00:07:01:26
00:07:01:26 00:07:02:01						TO-LIKE2		[MG]
00:07:02:01 00:07:02:20
00:07:02:20 00:07:02:32						FLAT2		plattdeutsch
00:07:02:32 00:07:02:43
00:07:02:43 00:07:02:48						GERMAN1
00:07:02:48 00:07:03:13
00:07:03:13 00:07:03:30						$INDEX1
00:07:03:30 00:07:04:05
00:07:04:05 00:07:04:18					That’s the current situation, but before, people said that Low German was dirty.
00:07:04:18 00:07:04:33						NOW1*		jetzt
00:07:04:33 00:07:04:41
00:07:04:41 00:07:05:06						PAST-OR-BACK-THEN1		früher
00:07:05:06 00:07:05:17
00:07:05:17 00:07:05:27						TO-SAY1		sagt man
00:07:05:27 00:07:05:39
00:07:05:39 00:07:05:48						FLAT2		plattdeutsch
00:07:05:48 00:07:06:08
00:07:06:08 00:07:06:11						GERMAN1
00:07:06:11 00:07:06:19
00:07:06:19 00:07:07:11						FIE1		spott
00:07:07:11 00:07:07:14
00:07:07:14 00:07:07:17					Today, everyone loves Low German and thinks that it’s not being used enough.
00:07:07:17 00:07:07:23						TODAY1		heute
00:07:07:23 00:07:07:37
00:07:07:37 00:07:07:43						TO-SAY1		sag
00:07:07:43 00:07:08:04
00:07:08:04 00:07:08:11						FLAT2		plattdeutsch
00:07:08:11 00:07:08:20
00:07:08:20 00:07:08:26						GERMAN1
00:07:08:26 00:07:08:37
00:07:08:37 00:07:09:06						GREAT1B*		toll
00:07:09:06 00:07:09:10
00:07:09:10 00:07:09:40						COME-HERE1*		[MG]
00:07:09:40 00:07:10:01
00:07:10:01 00:07:10:21						LITTLE-BIT9*		zu wenig
00:07:10:21 00:07:10:28
00:07:10:28 00:07:10:44						$GEST-OFF1^*
00:07:10:44 00:07:10:46
00:07:10:46 00:07:11:14					I live in the area of Bergedorf, and there’s something interesting there as well.
00:07:11:14 00:07:11:26						INTEREST1B		interessant
00:07:11:26 00:07:11:35
00:07:11:35 00:07:11:41							MOMENT2*
00:07:11:41 00:07:11:42
00:07:11:42 00:07:11:44						I2
00:07:11:44 00:07:12:07
00:07:12:07 00:07:12:13						EYE1^*		wohne bergdorf
00:07:12:13 00:07:12:17
00:07:12:17 00:07:14:04						AREA1A^*
00:07:14:04 00:07:14:11
00:07:14:11 00:07:14:26					If I go into a bookstore to buy a book written in Low German, there’s a whole range to choose from.
00:07:14:26 00:07:14:32						I2
00:07:14:32 00:07:14:36
00:07:14:36 00:07:14:44						STORE1*		geschäft
00:07:14:44 00:07:14:49
00:07:14:49 00:07:15:16						TO-VISIT-OR-TO-ATTEND1B
00:07:15:16 00:07:15:30
00:07:15:30 00:07:15:39						PLEASE1B		[MG]
00:07:15:39 00:07:15:44
00:07:15:44 00:07:16:06						FLAT2		plattdeutsch
00:07:16:06 00:07:16:20
00:07:16:20 00:07:16:28						GERMAN1
00:07:16:28 00:07:16:38
00:07:16:38 00:07:17:03						BOOK1B		buch
00:07:17:03 00:07:17:28
00:07:17:28 00:07:18:17						$PROD		[MG]
00:07:18:17 00:07:18:32
00:07:18:32 00:07:19:03						VERY6		[MG]
00:07:19:03 00:07:19:11
00:07:19:11 00:07:19:24					But in Hamburg’s city centre, it’s the other way around.	CONVERSELY1		um
00:07:19:24 00:07:19:32
00:07:19:32 00:07:19:48						CENTRE1A		zentrum
00:07:19:48 00:07:20:10
00:07:20:10 00:07:20:17						HAMBURG1*		hamburg
00:07:20:17 00:07:20:21
00:07:20:21 00:07:20:29						$INDEX1
00:07:20:29 00:07:20:42
00:07:20:42 00:07:21:01					You can only find very few books in Low German at Karstadt in the city centre.
00:07:21:01 00:07:21:06						$ALPHA1:K*		karstadt
00:07:21:06 00:07:21:16
00:07:21:16 00:07:21:25						MARKET1^*
00:07:21:25 00:07:21:34
00:07:21:34 00:07:22:02						CENTRE1A		zentrum
00:07:22:02 00:07:22:12
00:07:22:12 00:07:22:18						TO-BELONG1*
00:07:22:18 00:07:22:21
00:07:22:21 00:07:22:24						I2
00:07:22:24 00:07:22:38
00:07:22:38 00:07:22:49						FLAT2		plattdeutsch
00:07:22:49 00:07:23:09
00:07:23:09 00:07:23:15						GERMAN1
00:07:23:15 00:07:23:25
00:07:23:25 00:07:23:31						BOOK1B		buch
00:07:23:31 00:07:23:44
00:07:23:44 00:07:24:06						LONG1B		[MG]
00:07:24:06 00:07:24:11
00:07:24:11 00:07:25:05						SMALL1B
00:07:25:05 00:07:25:12
00:07:25:12 00:07:25:19					It’s interesting to see how different the centre is.
00:07:25:19 00:07:25:35						CENTRE1A		zentrum
00:07:25:35 00:07:25:40
00:07:25:40 00:07:26:05						SURROUNDING1A*
00:07:26:05 00:07:26:10
00:07:26:10 00:07:26:24						INTEREST1A
00:07:26:24 00:07:26:34
00:07:26:34 00:07:26:41						NOT5*
00:07:26:41 00:07:26:49
00:07:26:49 00:07:27:02					In the rural areas that’s just more of a topic.
00:07:27:02 00:07:27:22						AREA1A*
00:07:27:22 00:07:27:28
00:07:27:28 00:07:27:36						MORE1		mehr
00:07:27:36 00:07:28:14						COUNTRY1A		land
00:07:28:14 00:07:28:31
00:07:28:31 00:07:28:48					The area Vierlande around Bergedorf is more rural.
00:07:28:48 00:07:29:04						$NUM-ONE-TO-TEN1A:4		vierland{e}
00:07:29:04 00:07:29:12
00:07:29:12 00:07:30:05						COUNTRY1A*
00:07:30:05 00:07:30:13
00:07:30:13 00:07:30:26						MORE1		mehr
00:07:30:26 00:07:31:05
00:07:31:05 00:07:31:26						COUNTRY2		land
00:07:31:26 00:07:31:37
00:07:31:37 00:07:32:13					As for example the south.
00:07:32:13 00:07:32:38						DOWN1^		süden
00:07:32:38 00:07:33:11
00:07:33:11 00:07:33:31						EXAMPLE1		beispiel
00:07:33:31 00:07:33:37
00:07:33:37 00:07:33:40					#For example from my place, Name1, to Allermoehe.
00:07:33:40 00:07:33:44							I2	ich
00:07:33:44 00:07:34:01
00:07:34:01 00:07:34:04							APARTMENT1A*	wo{hn}
00:07:34:04 00:07:34:11
00:07:34:11 00:07:34:28							HIGH3A*	hoch
00:07:34:28 00:07:34:39
00:07:34:39 00:07:34:42						$NAME		#name1
00:07:34:42 00:07:35:08
00:07:35:08 00:07:35:15						$INDEX1
00:07:35:15 00:07:35:25
00:07:35:25 00:07:36:17						AREA1A^*		unten
00:07:36:17 00:07:36:33
00:07:36:33 00:07:36:42						$GEST-OFF1^*
00:07:36:42 00:07:37:02
00:07:37:02 00:07:37:11						$ALPHA1:A*		a{llermöhe}
00:07:37:11 00:07:37:22
00:07:37:22 00:07:37:27						$ALPHA1:A		allermöhe
00:07:37:27 00:07:37:33
00:07:37:33 00:07:38:21						AREA1A^*
00:07:38:21 00:07:38:38					The water level there is low.
00:07:38:38 00:07:39:06						DIFFERENCE1A*		unten
00:07:39:06 00:07:39:23
00:07:39:23 00:07:39:34							WATER1	wasser
00:07:39:34 00:07:39:39
00:07:39:39 00:07:40:19						DOWN2^*		tief
00:07:40:19 00:07:40:25
00:07:40:25 00:07:40:29					It’s higher in my area.		I2	ich
00:07:40:29 00:07:40:39
00:07:40:39 00:07:41:08							HIGH3A	hoch
00:07:41:08 00:07:41:15
00:07:41:15 00:07:41:29					When Hamburg is being flooded, it’s the south that’s hit.
00:07:41:29 00:07:41:36						IF-OR-WHEN1A		wenn
00:07:41:36 00:07:41:44
00:07:41:44 00:07:42:02						HAMBURG1*		hamburg
00:07:42:02 00:07:42:08
00:07:42:08 00:07:42:13						WATER1		wasser
00:07:42:13 00:07:42:26
00:07:42:26 00:07:42:40						FLOODING2*		überschwemmung
00:07:42:40 00:07:43:06
00:07:43:06 00:07:43:16						AFFECTED1		betroffen
00:07:43:16 00:07:43:28
00:07:43:28 00:07:43:36						$INDEX1
00:07:43:36 00:07:44:12
00:07:44:12 00:07:44:37
00:07:44:37 00:07:45:10	Also famous in Bergedorf is the mineral water called Bismarck, which you always drink.
00:07:45:10 00:07:45:14			$INDEX1	und
00:07:45:14 00:07:45:20
00:07:45:20 00:07:45:30			ALSO1A*	auch
00:07:45:30 00:07:45:48
00:07:45:48 00:07:46:09			MOUNTAIN1A*	bergdorf
00:07:46:09 00:07:46:12
00:07:46:12 00:07:46:25			WELL-KNOWN1A*	bekannt
00:07:46:25 00:07:46:32
00:07:46:32 00:07:46:35			YOU1	du
00:07:46:35 00:07:46:41
00:07:46:41 00:07:47:00		REGULARLY2A^		[MG]
00:07:47:00 00:07:47:12
00:07:47:12 00:07:47:21			TO-DRINK1^*	mineralwasser
00:07:47:21 00:07:47:34
00:07:47:34 00:07:48:09		$PROD
00:07:48:09 00:07:48:16
00:07:48:16 00:07:48:34			$ALPHA1:B-S	bismarck
00:07:48:34 00:07:48:39
00:07:48:39 00:07:48:49					Yes, I love that.
00:07:48:49 00:07:49:10			YOU1
00:07:49:10 00:07:49:16						YES2
00:07:49:16 00:07:49:19
00:07:49:19 00:07:49:24
00:07:49:24 00:07:49:28			REGULARLY2*			TO-LIKE2		[MG]
00:07:49:28 00:07:49:36
00:07:49:36 00:07:49:39
00:07:49:39 00:07:49:44	This is the water from Bergedorf that the Bismarck company bottles there, isn't it?
00:07:49:44 00:07:49:45						I2
00:07:49:45 00:07:49:49		HENCE1		[MG]
00:07:49:49 00:07:50:11
00:07:50:11 00:07:50:19
00:07:50:19 00:07:50:22		MOUNTAIN1A		bergdorf
00:07:50:22 00:07:50:39
00:07:50:39 00:07:50:45
00:07:50:45 00:07:50:47			$ALPHA1:B*	bismarck
00:07:50:47 00:07:51:09
00:07:51:09 00:07:51:17			COMPANY1A
00:07:51:17 00:07:51:20
00:07:51:20 00:07:51:28		TO-LINK1A
00:07:51:28 00:07:51:35
00:07:51:35 00:07:51:42		WATER1*		wasser
00:07:51:42 00:07:51:48
00:07:51:48 00:07:52:24		TO-FLOW-JET-OF-WATER1^*
00:07:52:24 00:07:52:29					That’s what people say, but it actually isn’t true.	$GEST-NM-SHAKE-HEAD1^
00:07:52:29 00:07:52:41		MUG1A*
00:07:52:41 00:07:52:44
00:07:52:44 00:07:53:08		TO-TURN1C^*		[MG]
00:07:53:08 00:07:53:11
00:07:53:11 00:07:53:19
00:07:53:19 00:07:53:22		OR4B*		oder
00:07:53:22 00:07:53:29
00:07:53:29 00:07:53:32						RUMOUR1		gerücht
00:07:53:32 00:07:53:42		$GEST-NM-SHAKE-HEAD1^		was
00:07:53:42 00:07:54:04
00:07:54:04 00:07:54:09
00:07:54:09 00:07:54:12						$NUM-ONE-TO-TEN1A:1d		einer
00:07:54:12 00:07:54:19
00:07:54:19 00:07:54:21						ASSERTION2*		behauptet
00:07:54:21 00:07:54:25
00:07:54:25 00:07:54:47						ASSERTION1*
00:07:54:47 00:07:55:07
00:07:55:07 00:07:55:19						RIGHT-OR-AGREED1A*		stimmt nicht
00:07:55:19 00:07:55:25
00:07:55:25 00:07:55:28					But it doesn’t matter, I just like the taste, and that’s enough.
00:07:55:28 00:07:55:38						WHATEVER3*		egal
00:07:55:38 00:07:55:39
00:07:55:39 00:07:56:00						$INDEX1		aber
00:07:56:00 00:07:56:04
00:07:56:04 00:07:56:21						TASTE1*		geschmack
00:07:56:21 00:07:56:28
00:07:56:28 00:07:57:04						TO-LIKE3*
00:07:57:04 00:07:57:14
00:07:57:14 00:07:57:20						DONE1B		[MG]
00:07:57:20 00:07:57:45
00:07:57:45 00:07:58:09	But it does have something to do with Bergedorf, because of the Sachsenwald [Saxon wood], doesn’t it?	$ORAL^		aber
00:07:58:09 00:07:58:13
00:07:58:13 00:07:58:21		SELF1A*		selbst
00:07:58:21 00:07:58:28
00:07:58:28 00:07:58:37		COHERENCE3		be{zug}
00:07:58:37 00:07:58:49
00:07:58:49 00:07:59:02		$INDEX1
00:07:59:02 00:07:59:05
00:07:59:05 00:07:59:10		AREA1A*
00:07:59:10 00:07:59:14
00:07:59:14 00:07:59:28		BECAUSE-OF2A		wegen
00:07:59:28 00:07:59:32
00:07:59:32 00:07:59:44		MOUNTAIN1A		bergdorf
00:07:59:44 00:07:59:46
00:07:59:46 00:08:00:07		$INDEX1*
00:08:00:07 00:08:00:23
00:08:00:23 00:08:00:43		$GEST^
00:08:00:43 00:08:01:08					The Sachsenwald.
00:08:01:08 00:08:01:10							$INDEX1	[MG]
00:08:01:10 00:08:01:15		$ALPHA1:S*		sachsenwald
00:08:01:15 00:08:01:27
00:08:01:27 00:08:01:31							$ALPHA1:S	sachsenwald
00:08:01:31 00:08:01:32
00:08:01:32 00:08:01:39		AREA1A^
00:08:01:39 00:08:02:26						AREA1A
00:08:02:26 00:08:02:28
00:08:02:28 00:08:02:32	That means, that the water is pumped via pipelines over the whole distance to the company?
00:08:02:32 00:08:02:36		COHERENCE3			That’s where Bismarck lived.
00:08:02:36 00:08:02:38							$INDEX1
00:08:02:38 00:08:02:47
00:08:02:47 00:08:03:01							$ALPHA1:B	bismarck
00:08:03:01 00:08:03:07		THEREFORE1*		selbst mehr
00:08:03:07 00:08:03:11
00:08:03:11 00:08:03:22		SELF1A*
00:08:03:22 00:08:03:33
00:08:03:33 00:08:03:40
00:08:03:40 00:08:03:44			WATER1	wasser
00:08:03:44 00:08:03:47							RIGHT-OR-AGREED1^
00:08:03:47 00:08:04:06
00:08:04:06 00:08:04:07			$INDEX1
00:08:04:07 00:08:04:11
00:08:04:11 00:08:04:15							$INDEX1	bismarck bismarck
00:08:04:15 00:08:04:20
00:08:04:20 00:08:04:27		TO-LINK1A
00:08:04:27 00:08:04:34
00:08:04:34 00:08:05:13		$PROD
00:08:05:13 00:08:05:28
00:08:05:28 00:08:05:42		$$EXTRA-LING-ACT^
00:08:05:42 00:08:06:01		$ORAL^		aber
00:08:06:01 00:08:06:03
00:08:06:03 00:08:06:09			WATER1	wasser
00:08:06:09 00:08:06:12
00:08:06:12 00:08:06:14		TO-LINK1A					HIS-HER1
00:08:06:14 00:08:06:23
00:08:06:23 00:08:06:24
00:08:06:24 00:08:06:33							APARTMENT1A	wohnt
00:08:06:33 00:08:06:34		BOTH1
00:08:06:34 00:08:06:40
00:08:06:40 00:08:07:32						AREA1A^
00:08:07:32 00:08:07:35
00:08:07:35 00:08:07:37			That’s also where the well is.
00:08:07:37 00:08:07:40					$INDEX1
00:08:07:40 00:08:07:45
00:08:07:45 00:08:08:01
00:08:08:01 00:08:08:06							WHO3^	quelle
00:08:08:06 00:08:08:25
00:08:08:25 00:08:08:29
00:08:08:29 00:08:08:43					But they do not get the water right there. It is a little further away.	$ORAL^		aber
00:08:08:43 00:08:08:47
00:08:08:47 00:08:09:09						$INDEX1*		quelle
00:08:09:09 00:08:09:13
00:08:09:13 00:08:09:25						CLOSE-BY1A*
00:08:09:25 00:08:09:32
00:08:09:32 00:08:09:42						AREA1C^*		[MG]
00:08:09:42 00:08:09:44
00:08:09:44 00:08:09:48						CLOSE-BY1B*
00:08:09:48 00:08:10:02						$ALPHA1:B*		bismarck
00:08:10:02 00:08:10:09						NOT3A
00:08:10:09 00:08:10:17
00:08:10:17 00:08:10:42						GAP-OR-DISTANCE5		bisschen weit
00:08:10:42 00:08:10:47
00:08:10:47 00:08:11:12						$INDEX1*
00:08:11:12 00:08:11:19
00:08:11:19 00:08:11:37						TO-GET1A*
00:08:11:37 00:08:11:47					That’s how it’s connected to Bismarck. Yes.	$ORAL^		aber
00:08:11:47 00:08:12:01
00:08:12:01 00:08:12:30						TO-LINK1B		[MG]
00:08:12:30 00:08:12:49
00:08:12:49 00:08:13:09	Yes, that’s what I meant.					$PROD		bismarck
00:08:13:09 00:08:13:16		BOTH1		bismarck
00:08:13:16 00:08:13:30
00:08:13:30 00:08:13:33
00:08:13:33 00:08:13:43						$GEST-NM-NOD-HEAD1^		ja
00:08:13:43 00:08:13:49		OPINION1A		mein
00:08:13:49 00:08:14:03
00:08:14:03 00:08:14:11						YES2
00:08:14:11 00:08:14:16		MY3
00:08:14:16 00:08:14:20
00:08:14:20 00:08:14:27	I didn’t know that.
00:08:14:27 00:08:14:31		TO-KNOW-STH2B		wusste
00:08:14:31 00:08:14:41
00:08:14:41 00:08:15:00		NOT3A		nicht
00:08:15:00 00:08:15:12
00:08:15:12 00:08:15:28					Oh, that’s no problem, neither did I.
00:08:15:28 00:08:15:39						$GEST-DECLINE1^		[MG]
00:08:15:39 00:08:15:40
00:08:15:40 00:08:15:45						I2
00:08:15:45 00:08:15:49
00:08:15:49 00:08:16:04						$GEST-OFF1^*
00:08:16:04 00:08:16:07
00:08:16:07 00:08:16:14						BAD3C*		schlimm
00:08:16:14 00:08:16:17
00:08:16:17 00:08:16:31						I1*		auch nicht
00:08:16:31 00:08:16:37
00:08:16:37 00:08:16:43					It was my son who explained to me that the well isn’t right there, but a bit further away.
00:08:16:43 00:08:16:48						MY1		mein
00:08:16:48 00:08:17:04
00:08:17:04 00:08:17:08						SON1		sohn
00:08:17:08 00:08:17:15
00:08:17:15 00:08:17:26						TO-EXPLAIN1*		erklär
00:08:17:26 00:08:17:36
00:08:17:36 00:08:17:44						TO-SAY1		sagt
00:08:17:44 00:08:17:47
00:08:17:47 00:08:18:03						$INDEX1
00:08:18:03 00:08:18:08
00:08:18:08 00:08:18:19						RIVER1^*		quelle
00:08:18:19 00:08:18:24
00:08:18:24 00:08:18:38						CLOSE-BY1A		[MG]
00:08:18:38 00:08:18:45
00:08:18:45 00:08:19:04						AREA1B		bismarck
00:08:19:04 00:08:19:09
00:08:19:09 00:08:19:22						NO1A
00:08:19:22 00:08:19:29
00:08:19:29 00:08:20:17						OUTDOORS1B^*		außerhalb
00:08:20:17 00:08:20:20
00:08:20:20 00:08:20:23					So, it’s a bit further away, but it’s still connected.
00:08:20:23 00:08:20:27						BIT1B		bisschen
00:08:20:27 00:08:20:34
00:08:20:34 00:08:20:44						OUTDOORS1B^*		weiter
00:08:20:44 00:08:21:02
00:08:21:02 00:08:21:11						$ORAL^		aber
00:08:21:11 00:08:21:13
00:08:21:13 00:08:21:38						TO-LINK1B		[MG]
00:08:21:38 00:08:21:44
00:08:21:44 00:08:22:11	And, bad/
00:08:22:11 00:08:22:12			AND5	und
00:08:22:12 00:08:22:19					I do like the taste.
00:08:22:19 00:08:22:31
00:08:22:31 00:08:22:33						TO-TASTE1A*		schmeckt
00:08:22:33 00:08:22:39			BAD3B*	sch
00:08:22:39 00:08:22:43
00:08:22:43 00:08:22:46
00:08:22:46 00:08:22:48						I1		mir
00:08:22:48 00:08:22:49
00:08:22:49 00:08:23:05
00:08:23:05 00:08:23:10						GOOD1		gut
00:08:23:10 00:08:23:26
00:08:23:26 00:08:23:41
00:08:23:41 00:08:23:49	About a year ago, I learned that the water of the Alster comes from the Alster source.		BAD3B*	schlimmste
00:08:23:49 00:08:24:11
00:08:24:11 00:08:24:18			A-MOMENT-AGO1A
00:08:24:18 00:08:24:30
00:08:24:30 00:08:25:09			$NUM-YEAR-BEFORE-NOW1:1	vor einem jahr
00:08:25:09 00:08:26:24
00:08:26:24 00:08:27:05			ROUND3A^	alster
00:08:27:05 00:08:27:20
00:08:27:20 00:08:27:32			WHERE-FROM1	wo kommt das wasser
00:08:27:32 00:08:27:43
00:08:27:43 00:08:28:06			WATER1
00:08:28:06 00:08:28:15
00:08:28:15 00:08:28:27			$INDEX1
00:08:28:27 00:08:28:34
00:08:28:34 00:08:29:12		$PROD
00:08:29:12 00:08:29:25
00:08:29:25 00:08:29:38			ALSTER1	alsterquelle
00:08:29:38 00:08:30:01
00:08:30:01 00:08:30:30			SOURCE1A*
00:08:30:30 00:08:30:35	So, you know, the source isn’t in Hamburg itself, but beyond the city limits.
00:08:30:35 00:08:30:43			TO-KNOW-STH-OR-SB1A	kenn
00:08:30:43 00:08:31:13
00:08:31:13 00:08:31:25		$PROD
00:08:31:25 00:08:31:39
00:08:31:39 00:08:31:44			HERE1	hier
00:08:31:44 00:08:32:03
00:08:32:03 00:08:32:07			HAMBURG1*	ham{burg}
00:08:32:07 00:08:32:16
00:08:32:16 00:08:32:28			BEYOND3	außerhalb
00:08:32:28 00:08:32:36
00:08:32:36 00:08:33:16			$INDEX1
00:08:33:16 00:08:33:34			CIRCLE2
00:08:33:34 00:08:33:46	Of course I had an idea of what the source of the Alster would look like.
00:08:33:46 00:08:33:49			I1
00:08:33:49 00:08:34:15
00:08:34:15 00:08:34:30		ALSTER1*		alsterquelle
00:08:34:30 00:08:34:41
00:08:34:41 00:08:34:49			SOURCE1A
00:08:34:49 00:08:35:22
00:08:35:22 00:08:35:30		TO-PUT-IN2^*
00:08:35:30 00:08:35:36
00:08:35:36 00:08:36:19		IMAGINATION4*		[MG]
00:08:36:19 00:08:36:33		$GEST-NM-SHAKE-HEAD1^
00:08:36:33 00:08:36:35	I thought it would be something like very bubbly water, that’s the idea I had.
00:08:36:35 00:08:36:45		TO-KNOW-STH2B		[MG]
00:08:36:45 00:08:37:07
00:08:37:07 00:08:37:11			TO-THINK1B*	da{chte}
00:08:37:11 00:08:37:18
00:08:37:18 00:08:37:32		$PROD		wasser
00:08:37:32 00:08:37:39
00:08:37:39 00:08:37:41			I1
00:08:37:41 00:08:38:04
00:08:38:04 00:08:38:16		$ORAL^		wie
00:08:38:16 00:08:38:21
00:08:38:21 00:08:39:35		$PROD		[MG]
00:08:39:35 00:08:39:42
00:08:39:42 00:08:39:46			I1	ich
00:08:39:46 00:08:40:08
00:08:40:08 00:08:40:16			TO-THINK1A	de{nk}
00:08:40:16 00:08:40:20
00:08:40:20 00:08:40:33	We went there as a group, and a friend was our guide.
00:08:40:33 00:08:40:49		$ORAL^		paar
00:08:40:49 00:08:41:11		$PROD		[MG]
00:08:41:11 00:08:41:15
00:08:41:15 00:08:41:18			$NUM-ONE-TO-TEN1A:1d	ein
00:08:41:18 00:08:41:27
00:08:41:27 00:08:41:36			PERSON1
00:08:41:36 00:08:41:45
00:08:41:45 00:08:42:04		TO-LEAD1A*		führer
00:08:42:04 00:08:42:16
00:08:42:16 00:08:42:26		FRIEND1A		freund
00:08:42:26 00:08:42:30
00:08:42:30 00:08:42:38	We went there by bike, and the ride was quite long and hilly.
00:08:42:38 00:08:42:45		TO-LEAD1A*		fü{hren} führ
00:08:42:45 00:08:43:04
00:08:43:04 00:08:43:27		BICYCLE1		mit fahrrad
00:08:43:27 00:08:43:37
00:08:43:37 00:08:44:47		$PROD		[MG]
00:08:44:47 00:08:45:00
00:08:45:00 00:08:45:11	When we left Hamburg behind and arrived at the Alster’s source, we were quite disappointed.
00:08:45:11 00:08:45:15		HERE-NOW1^*		da
00:08:45:15 00:08:45:26
00:08:45:26 00:08:45:33		HAMBURG1*		hamburg
00:08:45:33 00:08:46:08
00:08:46:08 00:08:46:38		OVER-TEMPORAL3*		vorbei
00:08:46:38 00:08:47:03
00:08:47:03 00:08:47:07		DONE4*
00:08:47:07 00:08:47:16
00:08:47:16 00:08:47:26			SHORTLY-SOON1
00:08:47:26 00:08:47:34
00:08:47:34 00:08:47:39		$INDEX1*
00:08:47:39 00:08:47:44
00:08:47:44 00:08:48:03		WHERE1A*		wo
00:08:48:03 00:08:48:09
00:08:48:09 00:08:48:19		SOURCE1A*		alsterque{lle}
00:08:48:19 00:08:48:30
00:08:48:30 00:08:48:38		$INDEX1
00:08:48:38 00:08:49:02		$ORAL^		wir
00:08:49:02 00:08:49:16		$PROD
00:08:49:16 00:08:49:25
00:08:49:25 00:08:49:45			THIS1A	[MG]
00:08:49:45 00:08:50:05
00:08:50:05 00:08:50:15		FRUSTRATION1		aus
00:08:50:15 00:08:50:27
00:08:50:27 00:08:50:32	It was just a hole in the ground with a lid made of concrete.
00:08:50:32 00:08:50:36		ONLY2B		nur
00:08:50:36 00:08:51:01
00:08:51:01 00:08:51:40			CIRCLE2*
00:08:51:40 00:08:51:48		$ORAL^		wie
00:08:51:48 00:08:52:02
00:08:52:02 00:08:52:38		NET1A^		beton
00:08:52:38 00:08:52:47
00:08:52:47 00:08:52:49	It was like one of those street manholes with a removable cover.
00:08:52:49 00:08:53:25		LIKE-HOW1B		wie
00:08:53:25 00:08:54:11
00:08:54:11 00:08:54:26		STREET1A		auf der straße
00:08:54:26 00:08:54:46
00:08:54:46 00:08:55:00		NET1A^		sieb
00:08:55:00 00:08:55:18
00:08:55:18 00:08:55:46		$PROD
00:08:55:46 00:08:56:05
00:08:56:05 00:08:56:06	Something circular made of concrete, and it said: Hamburg Alsterquelle.
00:08:56:06 00:08:56:25			CIRCLE2*	wie
00:08:56:25 00:08:56:38
00:08:56:38 00:08:57:02		NET1A^		beton
00:08:57:02 00:08:57:07
00:08:57:07 00:08:57:35		CIRCLE1A*
00:08:57:35 00:08:58:06
00:08:58:06 00:08:59:25		$PROD		hamburg alsterquelle
00:08:59:25 00:08:59:37
00:08:59:37 00:08:59:44		EXACTLY-THAT1*
00:08:59:44 00:09:00:07	And this is supposed to be the source the Alster comes from.
00:09:00:07 00:09:00:27			$INDEX1
00:09:00:27 00:09:00:33
00:09:00:33 00:09:00:38		I2		[MG]
00:09:00:38 00:09:00:42
00:09:00:42 00:09:00:46		WHAT1A*
00:09:00:46 00:09:01:02
00:09:01:02 00:09:01:10		$INDEX1		was
00:09:01:10 00:09:01:38
00:09:01:38 00:09:02:03			SOURCE1A	erste wasser
00:09:02:03 00:09:02:10
00:09:02:10 00:09:02:26		SOURCE1C
00:09:02:26 00:09:02:41		$ORAL^		dann
00:09:02:41 00:09:03:20			RIVER1*	fluss
00:09:03:20 00:09:03:23	But before, a gravel pit was excavated that was supposed to be flooded with water, forming the Alster.
00:09:03:23 00:09:03:25		BUT1*		aber
00:09:03:25 00:09:03:32
00:09:03:32 00:09:03:41		BEFOREHAND1A*		vorher
00:09:03:41 00:09:04:08
00:09:04:08 00:09:04:24			CIRCLE2*	alster
00:09:04:24 00:09:04:31		RIGHT-OR-AGREED1^*
00:09:04:31 00:09:04:37
00:09:04:37 00:09:05:17			EXCAVATOR1*	baggersee
00:09:05:17 00:09:05:35			CIRCLE2*
00:09:05:35 00:09:06:00
00:09:06:00 00:09:06:36		$PROD		wasser
00:09:06:36 00:09:07:04	Rainfall helped form some arms of the river that all led to the Alster and filled it.
00:09:07:04 00:09:07:10		LATER10*		später
00:09:07:10 00:09:07:15
00:09:07:15 00:09:07:26		$INDEX1*		wie
00:09:07:26 00:09:08:00
00:09:08:00 00:09:08:22		RAIN2A*		regen
00:09:08:22 00:09:08:35		THROUGH2A*		durch
00:09:08:35 00:09:08:42
00:09:08:42 00:09:10:20		RIVER1*		fluss
00:09:10:20 00:09:10:29		UNTIL-OR-TO1*		bis
00:09:10:29 00:09:10:35
00:09:10:35 00:09:11:28		$PROD		alster
00:09:11:28 00:09:11:30
00:09:11:30 00:09:11:37	Do you know what I mean?
00:09:11:37 00:09:11:44			TO-KNOW-STH2B^	verstehst
00:09:11:44 00:09:12:07
00:09:12:07 00:09:12:22			YOU1	du
00:09:12:22 00:09:13:03					No.	$GEST-NM-SHAKE-HEAD1^		nein
00:09:13:03 00:09:13:06	So, when I was there one or two years ago, all I could see was this small hole, about this size.
00:09:13:06 00:09:13:10			I2	ich
00:09:13:10 00:09:13:22
00:09:13:22 00:09:13:38			$NUM-YEAR-BEFORE-NOW1:1	vor einem jahr
00:09:13:38 00:09:13:47
00:09:13:47 00:09:14:09			FIRST-TIME3C	erste mal
00:09:14:09 00:09:14:26
00:09:14:26 00:09:14:31			$INDEX1
00:09:14:31 00:09:14:39
00:09:14:39 00:09:14:42			$GEST-OFF1^*
00:09:14:42 00:09:15:04
00:09:15:04 00:09:15:09		EASY4		[MG]
00:09:15:09 00:09:15:19
00:09:15:19 00:09:15:20		SMALL9*
00:09:15:20 00:09:15:24
00:09:15:24 00:09:15:32			SMALL10	[MG]
00:09:15:32 00:09:15:43
00:09:15:43 00:09:15:49			SMALL2	so
00:09:15:49 00:09:16:16
00:09:16:16 00:09:16:46		SMALL1B		schmal
00:09:16:46 00:09:17:03
00:09:17:03 00:09:17:09	From there, the creek takes its course and becomes broader and broader until it’s the Alster. It’s unbelievable.
00:09:17:09 00:09:18:16			$PROD	[MG]
00:09:18:16 00:09:18:40
00:09:18:40 00:09:19:24		BIG3A*		[MG]
00:09:19:24 00:09:19:47
00:09:19:47 00:09:20:21			CIRCLE2*	alster
00:09:20:21 00:09:20:33
00:09:20:33 00:09:20:39		BIG3A
00:09:20:39 00:09:20:43
00:09:20:43 00:09:21:24		INCREDIBLE2		unglaub{lich}
00:09:21:24 00:09:21:26
00:09:21:26 00:09:21:44	It went all the way from there to the Alster, it was really unbelievable.	BEGINNING1A*		von anfang
00:09:21:44 00:09:22:02
00:09:22:02 00:09:22:12		THERE1
00:09:22:12 00:09:22:39			$PROD
00:09:22:39 00:09:23:03
00:09:23:03 00:09:23:09		GONE-TO-LOSE-STH1^*
00:09:23:09 00:09:23:17
00:09:23:17 00:09:24:09			$PROD
00:09:24:09 00:09:24:32
00:09:24:32 00:09:25:22			INCREDIBLE2	unglaublich
00:09:25:22 00:09:25:31
00:09:25:31 00:09:25:36	It was a year ago that I saw the source of the Alster for the first time, and that was when I really got it.		I1
00:09:25:36 00:09:25:43
00:09:25:43 00:09:26:04			FIRST-TIME3C	erst
00:09:26:04 00:09:26:18
00:09:26:18 00:09:26:31			$NUM-YEAR-BEFORE-NOW1:1	vor einem jahr
00:09:26:31 00:09:26:39
00:09:26:39 00:09:27:05			TO-SEE1
00:09:27:05 00:09:27:12
00:09:27:12 00:09:27:21			$ALPHA1:A	alsterquelle
00:09:27:21 00:09:27:34
00:09:27:34 00:09:28:04		EXACTLY-THAT1
00:09:28:04 00:09:28:13
00:09:28:13 00:09:28:26	It’s just this small hole in the forest.
00:09:28:26 00:09:29:06		PICTURE1^		[MG]
00:09:29:06 00:09:29:23
00:09:29:23 00:09:29:25		IN1*		im
00:09:29:25 00:09:29:33
00:09:29:33 00:09:29:45		FOREST2B*		wald
00:09:29:45 00:09:30:02
00:09:30:02 00:09:30:08			IN1
00:09:30:08 00:09:30:10
00:09:30:10 00:09:30:13	Maybe you can just see for yourself and take a bike tour there, if you like.
00:09:30:13 00:09:30:15		YOU1		du
00:09:30:15 00:09:30:18
00:09:30:18 00:09:30:28		NEXT2		nächste
00:09:30:28 00:09:30:33
00:09:30:33 00:09:30:45		TO-TRY-OR-REHEARSAL1		probieren
00:09:30:45 00:09:31:04
00:09:31:04 00:09:31:19		TO-GO-THERE1
00:09:31:19 00:09:31:28
00:09:31:28 00:09:31:46		BICYCLE1		fah{rrad}
00:09:31:46 00:09:32:05
00:09:32:05 00:09:32:13		TO-TRY-OR-REHEARSAL1		prob{ieren}
00:09:32:13 00:09:32:14
00:09:32:14 00:09:32:19		NOT3A		nicht
00:09:32:19 00:09:32:25		BAD-OR-STALE1		schlecht
00:09:32:25 00:09:32:29
00:09:32:29 00:09:32:33		$INDEX1
00:09:32:33 00:09:33:06
00:09:33:06 00:09:34:44
00:09:34:44 00:09:35:00					So, it’s really green here.
00:09:35:00 00:09:35:11						HAMBURG1*		hamburg
00:09:35:11 00:09:35:23
00:09:35:23 00:09:35:33						REALLY1*		wirklich
00:09:35:33 00:09:35:38
00:09:35:38 00:09:36:02						MUCH1A		viel
00:09:36:02 00:09:36:08
00:09:36:08 00:09:37:24						$PROD		grün
00:09:37:24 00:09:37:28
00:09:37:28 00:09:37:36					That makes the city really nice.
00:09:37:36 00:09:37:47						SURROUNDING1A*
00:09:37:47 00:09:38:06
00:09:38:06 00:09:38:20						BEAUTIFUL1A		schön
00:09:38:20 00:09:38:25
00:09:38:25 00:09:38:36						CITY2		stadt
00:09:38:36 00:09:38:46
00:09:38:46 00:09:39:01					My cousin always tells me that Hamburg is more beautiful than Munich.
00:09:39:01 00:09:39:19						MY1*
00:09:39:19 00:09:39:27
00:09:39:27 00:09:39:45						COUSIN-FEMALE1		cousin
00:09:39:45 00:09:40:00
00:09:40:00 00:09:40:09						TO-SAY2B		sagt
00:09:40:09 00:09:40:23
00:09:40:23 00:09:40:38						ALWAYS4A*		immer
00:09:40:38 00:09:40:48
00:09:40:48 00:09:41:05						HAMBURG2*		hamburg
00:09:41:05 00:09:41:12
00:09:41:12 00:09:41:22						BEAUTIFUL1A		schön
00:09:41:22 00:09:41:25
00:09:41:25 00:09:41:30						AS3*		als
00:09:41:30 00:09:41:37
00:09:41:37 00:09:41:44						MUNICH1A*		münchen
00:09:41:44 00:09:42:01
00:09:42:01 00:09:42:19						$INDEX1*
00:09:42:19 00:09:42:28
00:09:42:28 00:09:42:36					But he has to stay in Munich because of his job.
00:09:42:36 00:09:42:45						MUST1		muss
00:09:42:45 00:09:43:06
00:09:43:06 00:09:43:09						MUNICH1A*		mün{chen}
00:09:43:09 00:09:43:16
00:09:43:16 00:09:43:25						TO-STAY2*		bleiben
00:09:43:25 00:09:43:30
00:09:43:30 00:09:43:43						BECAUSE-OF2A		wegen
00:09:43:43 00:09:44:03
00:09:44:03 00:09:44:16						PROFESSION1A		beruf
00:09:44:16 00:09:44:28
00:09:44:28 00:09:44:37						$GEST-OFF1^
00:09:44:37 00:09:44:44
00:09:44:44 00:09:45:05						MUST1*		muss
00:09:45:05 00:09:45:23
00:09:45:23 00:09:45:29						$GEST-OFF1^
00:09:45:29 00:09:45:31
00:09:45:31 00:09:45:39					But you are right, Hamburg has more to offer, and the green spaces are really nice.
00:09:45:39 00:09:45:49						$INDEX1
00:09:45:49 00:09:46:13
00:09:46:13 00:09:46:23						BEAUTIFUL1A		schön
00:09:46:23 00:09:46:42
00:09:46:42 00:09:47:06						MORE1*		mehr
00:09:47:06 00:09:47:39
00:09:47:39 00:09:48:06						RIGHT-OR-AGREED1B		stimmt
00:09:48:06 00:09:48:13
00:09:48:13 00:09:48:23						MORE1		mehr
00:09:48:23 00:09:48:29
00:09:48:29 00:09:49:02						OFFER1B		angebot
00:09:49:02 00:09:49:14
00:09:49:14 00:09:49:23						MORE2*		mehr
00:09:49:23 00:09:49:32						NATURE8		natur
00:09:49:32 00:09:49:36
00:09:49:36 00:09:50:19						SURROUNDING1A*
00:09:50:19 00:09:50:45
00:09:50:45 00:09:52:10
00:09:52:10 00:09:52:24	It is quite diverse.
00:09:52:24 00:09:52:27			I1
00:09:52:27 00:09:52:35
00:09:52:35 00:09:52:39			CAN1
00:09:52:39 00:09:52:49
00:09:52:49 00:09:53:08		ALTERNATION1*		abwechs{lungs}reich
00:09:53:08 00:09:53:21
00:09:53:21 00:09:53:33			RICH3
00:09:53:33 00:09:53:48
00:09:53:48 00:09:54:02			$INDEX1
00:09:54:02 00:09:54:09
00:09:54:09 00:09:54:27	If the weather is nice, you can have a rest at the Elbe.
00:09:54:27 00:09:55:07		BEAUTIFUL5		schönes
00:09:55:07 00:09:55:13
00:09:55:13 00:09:55:29		$ORAL^		wetter
00:09:55:29 00:09:55:46			ELBE-RIVER1*	elbe
00:09:55:46 00:09:56:21
00:09:56:21 00:09:56:46		TO-LIE-LEG1A*		[MG]
00:09:56:46 00:09:57:04
00:09:57:04 00:09:57:11	At night, you can have a drink on the Reeperbahn.
00:09:57:11 00:09:57:34		EVENING2		abend
00:09:57:34 00:09:58:01
00:09:58:01 00:09:58:08		$GEST-DECLINE1^		[MG]
00:09:58:08 00:09:58:18
00:09:58:18 00:09:58:28			TO-DRINK2B	[MG]
00:09:58:28 00:09:58:36
00:09:58:36 00:09:59:00			OFF-OR-AWAY1*
00:09:59:00 00:09:59:07
00:09:59:07 00:09:59:19			REEPERBAHN1	reeperbahn
00:09:59:19 00:09:59:27
00:09:59:27 00:09:59:43			TO-GO-THERE2
00:09:59:43 00:09:59:48
00:09:59:48 00:10:00:08	You can also take an evening walk from the Alster to Blankenese on Sundays.
00:10:00:08 00:10:00:23		EVENING2
00:10:00:23 00:10:00:40
00:10:00:40 00:10:01:21		TO-GO-FOR-A-WALK1*		spazieren
00:10:01:21 00:10:01:31
00:10:01:31 00:10:01:38		$ALPHA1:A		alster
00:10:01:38 00:10:01:45
00:10:01:45 00:10:02:02		$INDEX1
00:10:02:02 00:10:02:09
00:10:02:09 00:10:02:23			ARROGANT1^
00:10:02:23 00:10:02:32
00:10:02:32 00:10:02:38			SUNDAY1B	sonn{tag}
00:10:02:38 00:10:03:04
00:10:03:04 00:10:03:45		TO-GO-FOR-A-WALK1*		[MG]
00:10:03:45 00:10:03:48
00:10:03:48 00:10:04:12	A lot is possible!
00:10:04:12 00:10:04:19			TO-SAY1	[MG]
00:10:04:19 00:10:04:23
00:10:04:23 00:10:04:43		ALTERNATION1*		abwechs{lungs}reich
00:10:04:43 00:10:05:11
00:10:05:11 00:10:05:22			RICH3
00:10:05:22 00:10:05:28
00:10:05:28 00:10:05:34	There are so many nice options.
00:10:05:34 00:10:05:49		$GEST-DECLINE1^		[MG]
00:10:05:49 00:10:06:05
00:10:06:05 00:10:06:09			$GEST-OFF1^*
00:10:06:09 00:10:06:23
00:10:06:23 00:10:06:30			BEAUTIFUL5*	schön
00:10:06:30 00:10:06:32
00:10:06:32 00:10:06:48			SURROUNDING1A
00:10:06:48 00:10:07:02
00:10:07:02 00:10:07:05	Why would I go anywhere else when Hamburg already has everything? That’s great!
00:10:07:05 00:10:07:14			I2*	für mich
00:10:07:14 00:10:07:30
00:10:07:30 00:10:08:08		TO-DRIVE3*
00:10:08:08 00:10:08:14
00:10:08:14 00:10:08:39		LIKE-THIS1A*		so
00:10:08:39 00:10:09:04
00:10:09:04 00:10:09:10			HAMBURG1*	hamburg
00:10:09:10 00:10:09:21
00:10:09:21 00:10:09:32			BEAUTIFUL5*	schönste
00:10:09:32 00:10:09:35
00:10:09:35 00:10:10:01		SURROUNDING1A
00:10:10:01 00:10:10:10
00:10:10:10 00:10:10:19	As I already said, #I live in Name2, that’s my home.
00:10:10:19 00:10:10:22		HOUSE2*
00:10:10:22 00:10:10:27
00:10:10:27 00:10:10:31		I2
00:10:10:31 00:10:10:39
00:10:10:39 00:10:10:45		HOUSE2		wohn
00:10:10:45 00:10:10:49
00:10:10:49 00:10:11:08			TO-SAY1	sag
00:10:11:08 00:10:11:11
00:10:11:11 00:10:11:19			A-MOMENT-AGO1A	eben
00:10:11:19 00:10:11:27
00:10:11:27 00:10:11:32			$INDEX1
00:10:11:32 00:10:12:01
00:10:12:01 00:10:12:08			MY1	mein
00:10:12:08 00:10:12:14
00:10:12:14 00:10:12:24		HOMELAND2*		heimat
00:10:12:24 00:10:12:36
00:10:12:36 00:10:12:43		$NAME		#name2
00:10:12:43 00:10:12:49
00:10:12:49 00:10:13:33		AREA1B
00:10:13:33 00:10:13:42	#I don’t think Name2 is that extraordinary.
00:10:13:42 00:10:13:46		TO-BELIEVE2A*		glaube
00:10:13:46 00:10:14:05
00:10:14:05 00:10:14:11		$NAME		#name2
00:10:14:11 00:10:14:20
00:10:14:20 00:10:15:00		PARTICULARLY1B		[MG]
00:10:15:00 00:10:15:02	#But historically Name2 did play a special role.
00:10:15:02 00:10:15:20		TRUE2*		wahr
00:10:15:20 00:10:15:38
00:10:15:38 00:10:15:42			TO-HAVE-TO-OWN1*	hat
00:10:15:42 00:10:16:01
00:10:16:01 00:10:16:13		TO-TELL1^*		historisch
00:10:16:13 00:10:16:20
00:10:16:20 00:10:16:25			PAST1^
00:10:16:25 00:10:16:34
00:10:16:34 00:10:16:45			HISTORY-OR-STORY2*	geschi{chte}
00:10:16:45 00:10:17:03
00:10:17:03 00:10:17:13		$NAME		#name2
00:10:17:13 00:10:17:24
00:10:17:24 00:10:17:37			PARTICULARLY1A	bes{onders}
00:10:17:37 00:10:18:01	There is this small train station where, over time, lots off monuments have been erected.		TRAIN-STATION3	bahnhof
00:10:18:01 00:10:18:15
00:10:18:15 00:10:18:32		$PROD
00:10:18:32 00:10:18:42
00:10:18:42 00:10:18:46			$INDEX1
00:10:18:46 00:10:19:15
00:10:19:15 00:10:19:28			HISTORY-INTS1	historisch
00:10:19:28 00:10:19:36
00:10:19:36 00:10:19:40		THERE-IS3*
00:10:19:40 00:10:19:49
00:10:19:49 00:10:20:05		MORE3*		mehr
00:10:20:05 00:10:20:11
00:10:20:11 00:10:20:18		TO-KNOW-STH2B^*
00:10:20:18 00:10:20:29
00:10:20:29 00:10:20:41		HISTORY-OR-STORY1^*		historisch
00:10:20:41 00:10:20:48
00:10:20:48 00:10:21:22		$PROD		was was
00:10:21:22 00:10:21:38
00:10:21:38 00:10:21:46	I do think Boberg is quite special, though.
00:10:21:46 00:10:22:10		$ALPHA1:B*	$INDEX1	boberg
00:10:22:10 00:10:22:20		MOUNTAIN1A
00:10:22:20 00:10:22:38
00:10:22:38 00:10:23:01		ACTUALLY1B		eigent{lich}
00:10:23:01 00:10:23:22
00:10:23:22 00:10:23:28		PARTICULARLY1B		beson{ders}	Before people used to say “Boberg? I don’t know where that is.”
00:10:23:28 00:10:23:41						$GEST-ATTENTION1^
00:10:23:41 00:10:23:42
00:10:23:42 00:10:24:19		$GEST-NM-SHAKE-HEAD1^
00:10:24:19 00:10:24:36						PAST-OR-BACK-THEN1		früher
00:10:24:36 00:10:24:49
00:10:24:49 00:10:25:05
00:10:25:05 00:10:25:17						$ALPHA1:B		boberg
00:10:25:17 00:10:25:20
00:10:25:20 00:10:25:35						WHAT1B		was
00:10:25:35 00:10:25:41
00:10:25:41 00:10:26:01						PEOPLE2		leute
00:10:26:01 00:10:26:07
00:10:26:07 00:10:26:12						TO-SAY1		sag
00:10:26:12 00:10:26:16
00:10:26:16 00:10:26:49						$GEST-NM-NOD-HEAD1^		boberg
00:10:26:49 00:10:27:10
00:10:27:10 00:10:27:20						DONT-KNOW-STH-OR-SB1		kenn nicht
00:10:27:20 00:10:27:33
00:10:27:33 00:10:27:37					Today they say: “Wait, it’s really nice there!”
00:10:27:37 00:10:27:44						TODAY1		heute
00:10:27:44 00:10:28:03
00:10:28:03 00:10:28:17						$GEST-ATTENTION1^		boberg
00:10:28:17 00:10:28:26
00:10:28:26 00:10:28:46							BEAUTIFUL1A	schön
00:10:28:46 00:10:29:10
00:10:29:10 00:10:29:18					It’s also close to the emergency hospital, which is also quite renowned.
00:10:29:18 00:10:29:24						AND5*		und
00:10:29:24 00:10:29:27
00:10:29:27 00:10:29:40						CLOSE-BY1B		[MG]
00:10:29:40 00:10:29:47
00:10:29:47 00:10:30:10						ACCIDENT2A		unfallkrankenhaus
00:10:30:10 00:10:30:16
00:10:30:16 00:10:30:25						HOSPITAL1A
00:10:30:25 00:10:30:32
00:10:30:32 00:10:30:42						$INDEX1
00:10:30:42 00:10:31:07
00:10:31:07 00:10:31:32						WELL-KNOWN3C		bekannt
00:10:31:32 00:10:31:45
00:10:31:45 00:10:31:49					It is specialised on treating fingers and burns.	WHAT1B*		was
00:10:31:49 00:10:32:18
00:10:32:18 00:10:33:03						HAND1^*		finger
00:10:33:03 00:10:33:11
00:10:33:11 00:10:33:18						AND7B*		und
00:10:33:18 00:10:33:33
00:10:33:33 00:10:34:24						BURN1A		verbrannt
00:10:34:24 00:10:34:30
00:10:34:30 00:10:35:01					I mean burn wounds on the body, that’s what they in Boberg are specialised in.
00:10:35:01 00:10:35:12						BURN1A		verbrannt
00:10:35:12 00:10:35:21
00:10:35:21 00:10:35:32						BODY1*
00:10:35:32 00:10:35:46
00:10:35:46 00:10:36:04						SPECIAL1*		spezial
00:10:36:04 00:10:36:14
00:10:36:14 00:10:36:29						TO-BELONG1		boberg
00:10:36:29 00:10:36:39
00:10:36:39 00:10:36:49						$GEST-OFF1^*
00:10:36:49 00:10:37:05
00:10:37:05 00:10:37:07					That’s why there are so many helicopters going around in that area.
00:10:37:07 00:10:37:13						MOST1B*		meist
00:10:37:13 00:10:37:25
00:10:37:25 00:10:38:22						$PROD		hubschrauber hubschrauber
00:10:38:22 00:10:38:26
00:10:38:26 00:10:38:33					You probably remember that one well-known accident when two airplanes that had just set off crashed over Wuppertal and Remscheid.
00:10:38:33 00:10:38:36						TO-KNOW-STH-OR-SB1A*
00:10:38:36 00:10:39:07						WELL-KNOWN3C		bekannt
00:10:39:07 00:10:39:23						PAST-OR-BACK-THEN1		früher
00:10:39:23 00:10:39:39
00:10:39:39 00:10:39:49						$INDEX1
00:10:39:49 00:10:40:11
00:10:40:11 00:10:40:29						WUPPERTAL2		wuppertal
00:10:40:29 00:10:40:38
00:10:40:38 00:10:41:09						$ORAL^		remscheid
00:10:41:09 00:10:41:21
00:10:41:21 00:10:42:04						$PROD		[MG]
00:10:42:04 00:10:42:09
00:10:42:09 00:10:42:30						$ORAL^		flugzeug
00:10:42:30 00:10:43:03						$PROD		[MG]
00:10:43:03 00:10:43:13
00:10:43:13 00:10:43:22					The burn victims were brought to Boberg.
00:10:43:22 00:10:43:34						BURN1A		verbrannt
00:10:43:34 00:10:43:45
00:10:43:45 00:10:44:09						TO-DELIVER1B		liefern
00:10:44:09 00:10:44:16
00:10:44:16 00:10:44:46						$INDEX1		boberg
00:10:44:46 00:10:45:20
00:10:45:20 00:10:45:36						TO-DELIVER1B
00:10:45:36 00:10:45:40
00:10:45:40 00:10:46:02					They can save people with the worst of burns.
00:10:46:02 00:10:46:17						BAD3D		schlimmste
00:10:46:17 00:10:46:25
00:10:46:25 00:10:46:40						BURN1A*		verbrannt
00:10:46:40 00:10:46:47
00:10:46:47 00:10:47:04						$INDEX1
00:10:47:04 00:10:47:12
00:10:47:12 00:10:47:18						CAN1		kann
00:10:47:18 00:10:47:26
00:10:47:26 00:10:47:38						RESCUE1		rette
00:10:47:38 00:10:47:43					They also treat wheelchair users or people who have had certain accidents at work.
00:10:47:43 00:10:48:02						ALSO3A		auch
00:10:48:02 00:10:48:15
00:10:48:15 00:10:48:30						WHEELCHAIR2D		rollstuhl
00:10:48:30 00:10:49:03
00:10:49:03 00:10:49:11						PARTICULARLY1B		besonder{s}
00:10:49:11 00:10:49:16
00:10:49:16 00:10:49:28						PROFESSION1A		berufsunfall
00:10:49:28 00:10:49:34
00:10:49:34 00:10:49:47						ACCIDENT2A
00:10:49:47 00:10:50:09
00:10:50:09 00:10:50:16						$INDEX1
00:10:50:16 00:10:50:30
00:10:50:30 00:10:51:06						TO-PROMOTE1B		fördern
00:10:51:06 00:10:51:12
00:10:51:12 00:10:51:14						$INDEX1
00:10:51:14 00:10:51:18
00:10:51:18 00:10:51:27						PRIMARILY1		[MG]
00:10:51:27 00:10:51:29
00:10:51:29 00:10:51:40					Boberg also keeps expanding.
00:10:51:40 00:10:51:46						$ALPHA1:B		boberg
00:10:51:46 00:10:52:04
00:10:52:04 00:10:52:36						TO-INCREASE3		vergrößer
00:10:52:36 00:10:52:43
00:10:52:43 00:10:52:46					They cut down more and more of the forest and the city expands.	I2*
00:10:52:46 00:10:53:02
00:10:53:02 00:10:53:11						FOREST2B*		wald
00:10:53:11 00:10:53:22
00:10:53:22 00:10:54:02						OFF1B*		ab ab ab
00:10:54:02 00:10:54:09
00:10:54:09 00:10:55:04						TO-INCREASE2*
00:10:55:04 00:10:55:07
00:10:55:07 00:10:55:23					So now there is enough space for the helicopters to land, and new buildings keep rising up closer and closer to where I live, I wish they’d stay away!
00:10:55:23 00:10:55:43						HELICOPTER2*		hubschrauber
00:10:55:43 00:10:55:49
00:10:55:49 00:10:56:06						TO-INCREASE2*
00:10:56:06 00:10:56:14
00:10:56:14 00:10:56:16						I2*
00:10:56:16 00:10:56:27
00:10:56:27 00:10:57:15						TO-INCREASE2*		[MG]
00:10:57:15 00:10:57:22
00:10:57:22 00:10:58:00						STOP1
00:10:58:00 00:10:58:26
00:10:58:26 00:10:58:30					But green spaces decline.
00:10:58:30 00:10:58:38						NATURE3A*		natur
00:10:58:38 00:10:58:41
00:10:58:41 00:10:59:05							SURROUNDING1A*
00:10:59:05 00:10:59:12
00:10:59:12 00:11:00:00						LITTLE-BIT7A*		[MG]
00:11:00:00 00:11:00:14
00:11:00:14 00:11:00:21						$GEST-OFF1^		[MG]
00:11:00:21 00:11:01:15
00:11:01:15 00:11:01:29	Your h/				But sure, the state does need money.	$GEST-NM-SHAKE-HEAD1^
00:11:01:29 00:11:01:34			YOU1
00:11:01:34 00:11:01:36
00:11:01:36 00:11:01:43							LIKE-THIS1A*	so
00:11:01:43 00:11:01:49			TO-BELONG2^*
00:11:01:49 00:11:02:14
00:11:02:14 00:11:02:31						STATE1A		staat
00:11:02:31 00:11:02:36
00:11:02:36 00:11:02:44						TO-NEED1*		braucht
00:11:02:44 00:11:03:01
00:11:03:01 00:11:03:10						MONEY1C		geld
00:11:03:10 00:11:03:22
00:11:03:22 00:11:03:26
00:11:03:26 00:11:03:40	#So, your home is Name1.
00:11:03:40 00:11:03:49			TO-BELONG2	[MG]
00:11:03:49 00:11:04:03
00:11:04:03 00:11:04:14		HOMELAND2*		heimat
00:11:04:14 00:11:04:18
00:11:04:18 00:11:04:34			SURROUNDING1A*
00:11:04:34 00:11:04:43
00:11:04:43 00:11:04:45		I1		[MG]
00:11:04:45 00:11:05:02
00:11:05:02 00:11:05:05		$NAME		#name1
00:11:05:05 00:11:05:13
00:11:05:13 00:11:05:26		$ANONYMISED^
00:11:05:26 00:11:05:29
00:11:05:29 00:11:05:33	When you take a bike trip you suddenly enter something you could call the second Lüneburger Heide [Lüneburg Heath, woodland and part nature reserve in Lower Saxony], where they also trim the plants.
00:11:05:33 00:11:06:19		BICYCLE1		fahrrad
00:11:06:19 00:11:06:32		$GEST-NM^*
00:11:06:32 00:11:06:38
00:11:06:38 00:11:06:43		WEIRD-STRANGE1*		[MG]
00:11:06:43 00:11:06:49
00:11:06:49 00:11:07:05		WHAT1A		was
00:11:07:05 00:11:07:12
00:11:07:12 00:11:07:13		PLAIN-AREA1*
00:11:07:13 00:11:07:16
00:11:07:16 00:11:07:32		$NUM-ORDINAL1:2		zweite
00:11:07:32 00:11:07:44
00:11:07:44 00:11:08:05		LUNENBURG1*		lüneburger heide
00:11:08:05 00:11:08:12
00:11:08:12 00:11:08:28		PLAIN-AREA1*
00:11:08:28 00:11:08:41
00:11:08:41 00:11:09:02		$PROD
00:11:09:02 00:11:09:09
00:11:09:09 00:11:09:22					Right, that’s interesting.
00:11:09:22 00:11:09:27		PLAIN-AREA1*
00:11:09:27 00:11:10:01				YES2
00:11:10:01 00:11:10:03
00:11:10:03 00:11:10:05		$ORAL^				wie
00:11:10:05 00:11:10:08
00:11:10:08 00:11:10:12						$GEST-ATTENTION1^
00:11:10:12 00:11:10:20						$INDEX1
00:11:10:20 00:11:10:26			CUT2*	schnitt
00:11:10:26 00:11:10:40						INTEREST1A		interessant
00:11:10:40 00:11:11:01							$GEST-ATTENTION1^
00:11:11:01 00:11:11:06
00:11:11:06 00:11:11:20							RIGHT-OR-AGREED1B	stimmt
00:11:11:20 00:11:11:28
00:11:11:28 00:11:11:42					I didn’t know about it before, but about three years ago I went for a walk and suddenly felt startled.
00:11:11:42 00:11:12:04						PAST-OR-BACK-THEN1		[MG]
00:11:12:04 00:11:12:08
00:11:12:08 00:11:12:13
00:11:12:13 00:11:12:25						I1		ich
00:11:12:25 00:11:12:40
00:11:12:40 00:11:12:46						TO-KNOW-STH2B*		wusste
00:11:12:46 00:11:13:03
00:11:13:03 00:11:13:10						NOT3A		nicht
00:11:13:10 00:11:13:13
00:11:13:13 00:11:13:26						I1		ich
00:11:13:26 00:11:13:32
00:11:13:32 00:11:13:49						APPROXIMATELY1*		[MG]
00:11:13:49 00:11:14:08
00:11:14:08 00:11:14:28						$NUM-YEAR-BEFORE-NOW1:3d		drei jahr
00:11:14:28 00:11:14:35
00:11:14:35 00:11:14:44						I2
00:11:14:44 00:11:15:05
00:11:15:05 00:11:15:12						TO-WALK9C*		[MG]
00:11:15:12 00:11:15:15
00:11:15:15 00:11:15:20						$GEST^		erschrock
00:11:15:20 00:11:15:26
00:11:15:26 00:11:15:43						FRIGHT1*
00:11:15:43 00:11:16:04
00:11:16:04 00:11:16:21					A shepherd was walking #through Name1 with all his flock.
00:11:16:21 00:11:16:32						SHEEP2*		schafhirt
00:11:16:32 00:11:16:45
00:11:16:45 00:11:17:05						$ALPHA1:H*
00:11:17:05 00:11:17:17
00:11:17:17 00:11:17:32						$PROD
00:11:17:32 00:11:18:10
00:11:18:10 00:11:18:13						I1
00:11:18:13 00:11:18:18
00:11:18:18 00:11:18:24						APARTMENT1B		#name1
00:11:18:24 00:11:18:32
00:11:18:32 00:11:18:36						MASS-OF-PEOPLE-ACTIVE2
00:11:18:36 00:11:18:44
00:11:18:44 00:11:19:05						SHEEP2		schaf
00:11:19:05 00:11:19:09
00:11:19:09 00:11:20:02						MASS-OF-PEOPLE-ACTIVE2*
00:11:20:02 00:11:20:08
00:11:20:08 00:11:20:11					I didn’t know what was going on.
00:11:20:11 00:11:20:18						I1		[MG]
00:11:20:18 00:11:20:28						$GEST-NM-SHAKE-HEAD1^
00:11:20:28 00:11:21:16
00:11:21:16 00:11:21:24						TO-KNOW-STH2B*		wusste
00:11:21:24 00:11:21:33
00:11:21:33 00:11:21:44						NOT3A		nicht
00:11:21:44 00:11:22:00
00:11:22:00 00:11:22:16					I was really confused.
00:11:22:16 00:11:22:22						I1
00:11:22:22 00:11:22:31
00:11:22:31 00:11:23:16						TO-WONDER1		[MG]
00:11:23:16 00:11:23:22					A hearing friend then told me/
00:11:23:22 00:11:23:36						MY1
00:11:23:36 00:11:23:42
00:11:23:42 00:11:24:05						FRIEND7		freundin
00:11:24:05 00:11:24:13
00:11:24:13 00:11:24:28						HEARING1B		hörend
00:11:24:28 00:11:24:35
00:11:24:35 00:11:25:04						SELF1A*		selbst
00:11:25:04 00:11:25:09
00:11:25:09 00:11:25:25						TO-LET-KNOW1A*		[MG]
00:11:25:25 00:11:25:27
00:11:25:27 00:11:25:31					She had of course heard all about it, but I didn’t because I’m deaf.
00:11:25:31 00:11:25:39						$INDEX1
00:11:25:39 00:11:25:47
00:11:25:47 00:11:26:06						PERCEPTION1*		[MG]
00:11:26:06 00:11:26:25						TO-PERCEIVE-EAR1*
00:11:26:25 00:11:26:29
00:11:26:29 00:11:26:35						I1
00:11:26:35 00:11:26:42
00:11:26:42 00:11:27:09						DEAF1A		[MG]
00:11:27:09 00:11:27:12
00:11:27:12 00:11:27:23						$GEST-OFF1^
00:11:27:23 00:11:27:28					My friend then told me that in former times that was a normal thing to happen.
00:11:27:28 00:11:27:31						$INDEX1
00:11:27:31 00:11:27:35
00:11:27:35 00:11:28:02						TO-LET-KNOW1A*
00:11:28:02 00:11:28:06
00:11:28:06 00:11:28:21						$GEST-NM-NOD-HEAD1^		[MG]
00:11:28:21 00:11:28:44
00:11:28:44 00:11:29:20							PAST-OR-BACK-THEN1	früher
00:11:29:20 00:11:29:32
00:11:29:32 00:11:30:11							YES1A	ja
00:11:30:11 00:11:30:23					But then they quit doing it.
00:11:30:23 00:11:31:05						TO-ABOLISH1*		abgeschafft
00:11:31:05 00:11:31:11
00:11:31:11 00:11:31:19					The green party said that the sheep destroyed everything.
00:11:31:19 00:11:31:33						REASON4A		grund
00:11:31:33 00:11:31:42
00:11:31:42 00:11:31:45						$INDEX1
00:11:31:45 00:11:32:11
00:11:32:11 00:11:32:29						$ORG-GREEN-PARTY1A*		grüne
00:11:32:29 00:11:32:39
00:11:32:39 00:11:32:49						TO-SAY1		sagt
00:11:32:49 00:11:33:05
00:11:33:05 00:11:33:11						$INDEX1
00:11:33:11 00:11:33:23
00:11:33:23 00:11:33:33						SHEEP2*		schaf
00:11:33:33 00:11:33:39
00:11:33:39 00:11:34:00						TO-MAKE2		macht
00:11:34:00 00:11:34:06
00:11:34:06 00:11:34:25						TO-BE-BROKEN1		kaputt
00:11:34:25 00:11:34:28
00:11:34:28 00:11:35:14						SURROUNDING1A*
00:11:35:14 00:11:35:19					But it turned out that wasn’t true.
00:11:35:19 00:11:35:23						NO2A*
00:11:35:23 00:11:35:30
00:11:35:30 00:11:35:45						RESULT1		ergebnis
00:11:35:45 00:11:36:03
00:11:36:03 00:11:36:43						RIGHT-OR-AGREED1A*		stimmt nicht
00:11:36:43 00:11:37:06
00:11:37:06 00:11:37:34					My friend explained to me why sheep are valuable.
00:11:37:34 00:11:37:44						TO-EXPLAIN1*		erklär
00:11:37:44 00:11:38:00
00:11:38:00 00:11:38:12						SHEEP2		schaf
00:11:38:12 00:11:38:19
00:11:38:19 00:11:38:37						VALUABLE1B		wertvoll
00:11:38:37 00:11:38:45
00:11:38:45 00:11:39:34						WHY1		warum
00:11:39:34 00:11:39:42
00:11:39:42 00:11:40:10					The heather needs to be trimmed in order to increase.
00:11:40:10 00:11:40:41						$INDEX1*
00:11:40:41 00:11:41:07
00:11:41:07 00:11:41:10						TO-SEE1*
00:11:41:10 00:11:41:16
00:11:41:16 00:11:41:24						$ALPHA1:B		heide{kraut}
00:11:41:24 00:11:41:33
00:11:41:33 00:11:42:22						$PROD
00:11:42:22 00:11:42:28
00:11:42:28 00:11:42:33						$INDEX1
00:11:42:33 00:11:43:06
00:11:43:06 00:11:43:29						TO-NEED1*		brauch
00:11:43:29 00:11:43:36
00:11:43:36 00:11:44:32						CUT3*		schnitt
00:11:44:32 00:11:44:34
00:11:44:34 00:11:44:48						$ORAL^		um
00:11:44:48 00:11:45:43						MORE3*		vermehren
00:11:45:43 00:11:46:10
00:11:46:10 00:11:46:18					The sheep graze the area.
00:11:46:18 00:11:46:34						SHEEP2*		schaf
00:11:46:34 00:11:46:39
00:11:46:39 00:11:47:28						$PROD		[MG]
00:11:47:28 00:11:47:35
00:11:47:35 00:11:47:45					That way, the heather gets trimmed and can grow better.
00:11:47:45 00:11:48:20						LITTLE-BIT7B
00:11:48:20 00:11:48:40						MORE3*		[MG]
00:11:48:40 00:11:48:42
00:11:48:42 00:11:49:18						EVERYWHERE1		vermehr
00:11:49:18 00:11:49:21					Without sheep, well, do you know these birch trees?
00:11:49:21 00:11:49:25						$INDEX1		ohne
00:11:49:25 00:11:49:36
00:11:49:36 00:11:49:48						WITHOUT1B
00:11:49:48 00:11:50:06
00:11:50:06 00:11:50:26						SHEEP2		schaf
00:11:50:26 00:11:50:35
00:11:50:35 00:11:50:39						$GEST-ATTENTION1^
00:11:50:39 00:11:51:03
00:11:51:03 00:11:51:16						$ALPHA1:B		birkenbaum
00:11:51:16 00:11:51:30
00:11:51:30 00:11:51:45						TREE2B
00:11:51:45 00:11:52:03
00:11:52:03 00:11:52:17						TO-KNOW-STH-OR-SB1B		[MG]
00:11:52:17 00:11:52:22
00:11:52:22 00:11:52:25						YOU1
00:11:52:25 00:11:52:31
00:11:52:31 00:11:52:39					Those trees with white and very slim trunks?
00:11:52:39 00:11:52:43						WHITE1D		weiß
00:11:52:43 00:11:52:45	Sure, they make me sneeze.
00:11:52:45 00:11:53:06		$GEST-NM-NOD-HEAD1^		birken
00:11:53:06 00:11:53:26						TREE-TRUNK3*
00:11:53:26 00:11:53:31
00:11:53:31 00:11:53:39
00:11:53:39 00:11:53:41		FINE1^*		[LM:hatschi]
00:11:53:41 00:11:53:47
00:11:53:47 00:11:54:13		TO-SNEEZE1			They spread really quickly.
00:11:54:13 00:11:54:15			VERY6				[MG]
00:11:54:15 00:11:54:27
00:11:54:27 00:11:54:49		$$EXTRA-LING-ACT^
00:11:54:49 00:11:55:25
00:11:55:25 00:11:55:29						FAST3A*		[MG]
00:11:55:29 00:11:55:41		$$EXTRA-LING-ACT^
00:11:55:41 00:11:55:48
00:11:55:48 00:11:56:06
00:11:56:06 00:11:56:32						TO-SPREAD2		verbrei{ten}
00:11:56:32 00:11:56:37
00:11:56:37 00:11:56:47
00:11:56:47 00:11:57:07					These trees skyrocket quickly and destroy everything around them.
00:11:57:07 00:11:57:33						HIGH1		hoch
00:11:57:33 00:11:57:47
00:11:57:47 00:11:58:05						$INDEX1*		heide{kraut}
00:11:58:05 00:11:58:14
00:11:58:14 00:11:58:24						TO-BE-BROKEN1		kaputt
00:11:58:24 00:11:58:29
00:11:58:29 00:11:59:15						$GEST-OFF1^
00:11:59:15 00:11:59:21
00:11:59:21 00:11:59:33					The sheep can graze off all the budding birch trees as well.
00:11:59:33 00:12:00:03						HENCE1		deshalb
00:12:00:03 00:12:00:15
00:12:00:15 00:12:00:27						SHEEP2*		schaf
00:12:00:27 00:12:00:33
00:12:00:33 00:12:00:46						CAN2B		kann
00:12:00:46 00:12:01:05
00:12:01:05 00:12:01:09						$ALPHA1:B		birke{n}baum
00:12:01:09 00:12:01:19
00:12:01:19 00:12:01:31						TREE-TRUNK3*
00:12:01:31 00:12:01:35
00:12:01:35 00:12:02:25						$PROD		[MG]
00:12:02:25 00:12:02:42
00:12:02:42 00:12:03:40						TO-DELETE1A*
00:12:03:40 00:12:03:47
00:12:03:47 00:12:04:16						AREA1D*
00:12:04:16 00:12:04:24					The former state is supposed to be restored.
00:12:04:24 00:12:04:32						SHOULD1*		soll
00:12:04:32 00:12:04:39
00:12:04:39 00:12:05:12						BACK2		wie{der} zu{rück}
00:12:05:12 00:12:05:15
00:12:05:15 00:12:05:17					That’s why the government has turned so silent when it comes to the topic of environment.
00:12:05:17 00:12:05:39						HENCE1		deshalb
00:12:05:39 00:12:06:00
00:12:06:00 00:12:06:07						$GEST^
00:12:06:07 00:12:06:30
00:12:06:30 00:12:06:36						$INDEX1
00:12:06:36 00:12:07:10
00:12:07:10 00:12:07:16						$GEST-OFF1^		[MG]
00:12:07:16 00:12:07:26
00:12:07:26 00:12:07:33						POLITICS1*
00:12:07:33 00:12:07:39
00:12:07:39 00:12:08:10						GENERALLY1B		allgemein
00:12:08:10 00:12:08:18
00:12:08:18 00:12:08:31						NATURE8		natur
00:12:08:31 00:12:08:40
00:12:08:40 00:12:09:06						GOVERNMENT2		regierung
00:12:09:06 00:12:09:09
00:12:09:09 00:12:09:33						TO-BE-OUTVOTED1*		[MG]
00:12:09:33 00:12:09:42
00:12:09:42 00:12:09:48						$INDEX1
00:12:09:48 00:12:10:05					They took it down a notch and started using the sheep again, which I think is nice.
00:12:10:05 00:12:10:29						BACK2		wie{der} zu{rück}
00:12:10:29 00:12:10:40
00:12:10:40 00:12:11:32						SHEPHERD1*		hirte
00:12:11:32 00:12:11:39
00:12:11:39 00:12:12:28						MASS-OF-PEOPLE-ACTIVE2^*		schaf
00:12:12:28 00:12:12:32
00:12:12:32 00:12:12:35						I2		[MG]
00:12:12:35 00:12:13:01
00:12:13:01 00:12:13:19						BEAUTIFUL1A*		schön
00:12:13:19 00:12:13:31
00:12:13:31 00:12:13:37					This means that politicians can also be mistaken.
00:12:13:37 00:12:14:01						MEANING1		bedeutet
00:12:14:01 00:12:14:10
00:12:14:10 00:12:14:28						POLITICS1		politisch
00:12:14:28 00:12:14:36
00:12:14:36 00:12:14:44						ALSO1A*		auch
00:12:14:44 00:12:15:01
00:12:15:01 00:12:15:17						IMAGINATION1B^		irrtum
00:12:15:17 00:12:15:25
00:12:15:25 00:12:15:34						$GEST-OFF1^
00:12:15:34 00:12:16:00
00:12:16:00 00:12:16:13	Awareness for environmental protection starts increasing again.
00:12:16:13 00:12:16:19			BUT2*	aber
00:12:16:19 00:12:16:21
00:12:16:21 00:12:16:22			MORE1
00:12:16:22 00:12:16:31
00:12:16:31 00:12:16:34
00:12:16:34 00:12:16:39		NOW1*		jetzt
00:12:16:39 00:12:16:45
00:12:16:45 00:12:17:02		MORE1*		mehr
00:12:17:02 00:12:17:12		$ORAL^		wie
00:12:17:12 00:12:17:27
00:12:17:27 00:12:17:35		AWARE1		bewusst
00:12:17:35 00:12:17:46
00:12:17:46 00:12:18:08		NATURE6A*		naturschutz
00:12:18:08 00:12:18:15
00:12:18:15 00:12:18:30		PROTECTION1A
00:12:18:30 00:12:18:39
00:12:18:39 00:12:19:01		EVERYTHING1A*
00:12:19:01 00:12:19:08
00:12:19:08 00:12:19:22	That also has to do with old traditions.
00:12:19:22 00:12:19:32		TO-LINK1A
00:12:19:32 00:12:19:46
00:12:19:46 00:12:20:06			PAST-OR-BACK-THEN1*
00:12:20:06 00:12:20:09
00:12:20:09 00:12:20:20		HISTORY-ASL1*		historisch
00:12:20:20 00:12:20:29
00:12:20:29 00:12:20:37			LOCATION1A^*
00:12:20:37 00:12:20:44
00:12:20:44 00:12:21:14		EXHIBITION2^*
00:12:21:14 00:12:21:20
00:12:21:20 00:12:21:25	Taking the bike is being encouraged more.
00:12:21:25 00:12:21:33		MORE1*		mehr
00:12:21:33 00:12:21:40
00:12:21:40 00:12:22:06		BICYCLE1		radfahrer	Still/
00:12:22:06 00:12:22:27						NEVERTHELESS4*		trotzdem
00:12:22:27 00:12:22:34
00:12:22:34 00:12:22:43		FRIENDLY2*		freundlich
00:12:22:43 00:12:22:48
00:12:22:48 00:12:23:08
00:12:23:08 00:12:23:29		$GEST-PLEASE1^*			Yes.	$GEST-ATTENTION1^
00:12:23:29 00:12:23:34
00:12:23:34 00:12:23:39						YES2		ja
00:12:23:39 00:12:23:45	There are supposed to be fewer cars, people should walk more.	MORE1*		mehr
00:12:23:45 00:12:24:09
00:12:24:09 00:12:24:24		MACHINE1A^		a{uto}
00:12:24:24 00:12:24:34
00:12:24:34 00:12:24:40		CAR1*		auto
00:12:24:40 00:12:24:45
00:12:24:45 00:12:25:08
00:12:25:08 00:12:25:37		TO-DECREASE-STH1B*		[MG]
00:12:25:37 00:12:25:45
00:12:25:45 00:12:26:01			MORE1*	mehr
00:12:26:01 00:12:26:05
00:12:26:05 00:12:26:15		TO-WALK9C
00:12:26:15 00:12:26:24
00:12:26:24 00:12:26:29	It’s about keeping the environment in mind more.
00:12:26:29 00:12:26:40		NATURE6A		natur
00:12:26:40 00:12:26:44
00:12:26:44 00:12:27:05		AREA1A^*
00:12:27:05 00:12:27:13
00:12:27:13 00:12:27:21		INFORMATION2B^*
00:12:27:21 00:12:27:28
00:12:27:28 00:12:27:31	Do you know what is supposed to happen to rented apartments in the future?
00:12:27:31 00:12:27:36		YOU1*		du
00:12:27:36 00:12:27:48
00:12:27:48 00:12:28:07		TO-KNOW-STH2A		wusstest
00:12:28:07 00:12:28:34
00:12:28:34 00:12:29:08			FUTURE1A	zukunft
00:12:29:08 00:12:29:14
00:12:29:14 00:12:29:20		$GEST-OFF1^*
00:12:29:20 00:12:29:29
00:12:29:29 00:12:29:31		WHO2*		wer
00:12:29:31 00:12:29:34
00:12:29:34 00:12:29:45		HOUSE2*
00:12:29:45 00:12:30:09
00:12:30:09 00:12:30:15		RENT1*		mietwohnung
00:12:30:15 00:12:30:31
00:12:30:31 00:12:30:44		GROUP1A^*
00:12:30:44 00:12:30:47
00:12:30:47 00:12:31:06	It will be mandatory to have green spaces within thirty, no, three kilometres of every apartment.
00:12:31:06 00:12:31:41		DUTY1		pflicht
00:12:31:41 00:12:32:13
00:12:32:13 00:12:33:40			$NUM-TENS2A:3d*	drei dreiß{ig}
00:12:33:40 00:12:34:00
00:12:34:00 00:12:34:15			$NUM-ONE-TO-TEN1A:3d	oder drei
00:12:34:15 00:12:34:33
00:12:34:33 00:12:34:41		KILOMETRE1		kilome{ter}
00:12:34:41 00:12:35:04
00:12:35:04 00:12:35:30		PAIR-OF-COMPASSES1B^*		um{kreis}
00:12:35:30 00:12:35:40
00:12:35:40 00:12:35:48		$ORAL^		muss
00:12:35:48 00:12:36:13			GREEN1A*	grün
00:12:36:13 00:12:36:24
00:12:36:24 00:12:37:03		INVOLVED1A*		dabei
00:12:37:03 00:12:37:15
00:12:37:15 00:12:37:31		MUST1*		muss
00:12:37:31 00:12:37:34
00:12:37:34 00:12:37:38	Before no one cared whether everything was surrounded by nothing but concrete.
00:12:37:38 00:12:37:45		PAST-OR-BACK-THEN1*		früher
00:12:37:45 00:12:38:00
00:12:38:00 00:12:38:10		WHATEVER3*		egal
00:12:38:10 00:12:38:16
00:12:38:16 00:12:38:24		MATERIAL2A^		beton
00:12:38:24 00:12:38:32
00:12:38:32 00:12:38:47		GROUND1
00:12:38:47 00:12:39:08
00:12:39:08 00:12:39:15		NOT-ANYMORE1A
00:12:39:15 00:12:39:23	But it turned out that wasn’t good for people’s health.
00:12:39:23 00:12:39:30		LATER7*		später
00:12:39:30 00:12:39:45
00:12:39:45 00:12:40:05			TO-STATE-OR-TO-REALISE2	fest{stellen}
00:12:40:05 00:12:40:15
00:12:40:15 00:12:40:33		HEALTHY1A		gesundheit
00:12:40:33 00:12:40:43
00:12:40:43 00:12:41:07		NO3B^*
00:12:41:07 00:12:41:14	That is the reason for the compulsory green area around rental apartments. The Hammer park is one example of that.
00:12:41:14 00:12:41:22		DUTY5		muss
00:12:41:22 00:12:41:28
00:12:41:28 00:12:41:32			WHO2*	wer
00:12:41:32 00:12:41:40
00:12:41:40 00:12:41:45		APARTMENT2B*		muss
00:12:41:45 00:12:42:08
00:12:42:08 00:12:42:25		DUTY1*		pf{licht} verantwort{lich}
00:12:42:25 00:12:42:31
00:12:42:31 00:12:42:34			MUST1*	muss
00:12:42:34 00:12:42:40
00:12:42:40 00:12:43:01			GREEN1A*	grün
00:12:43:01 00:12:43:07
00:12:43:07 00:12:43:14			PRESENT-OR-HERE1
00:12:43:14 00:12:43:24			EXAMPLE1*	zum beispiel
00:12:43:24 00:12:43:49			$ALPHA1:P-A-K	park
00:12:43:49 00:12:44:08
00:12:44:08 00:12:44:14			HAMMER1*	hammer park
00:12:44:14 00:12:44:19
00:12:44:19 00:12:44:31			$INDEX2
00:12:44:31 00:12:44:45
00:12:44:45 00:12:45:04		$ORAL^		pa{rk}
00:12:45:04 00:12:45:09
00:12:45:09 00:12:45:27		FUTURE1A*		zukunft
00:12:45:27 00:12:45:32
00:12:45:32 00:12:45:38		HOUSE2		vermiet
00:12:45:38 00:12:45:42
00:12:45:42 00:12:46:13	It will be mandatory to have green spaces within three kilometres of every apartment.
00:12:46:13 00:12:46:23		DUTY5		pflicht
00:12:46:23 00:12:46:34
00:12:46:34 00:12:46:38			$NUM-ONE-TO-TEN1A:3d*	drei
00:12:46:38 00:12:46:45
00:12:46:45 00:12:47:04		OUTDOORS1B^		kilome{ter}
00:12:47:04 00:12:47:10
00:12:47:10 00:12:47:16		MUST1*		muss
00:12:47:16 00:12:47:19
00:12:47:19 00:12:47:28			GREEN1A*	grün
00:12:47:28 00:12:47:39
00:12:47:39 00:12:48:26		PRESENT-OR-HERE1*		da da da
00:12:48:26 00:12:48:35
00:12:48:35 00:12:48:40	Hamburg is planning on implementing this and increasing awareness of everything green.
00:12:48:40 00:12:48:48		HAMBURG1*		ham{burg}
00:12:48:48 00:12:48:49
00:12:48:49 00:12:49:04		$INDEX1
00:12:49:04 00:12:49:12
00:12:49:12 00:12:49:22		POLITICS1		politik
00:12:49:22 00:12:49:33
00:12:49:33 00:12:49:48		TO-CHANGE1A*
00:12:49:48 00:12:50:09
00:12:50:09 00:12:50:14		MORE1*		mehr
00:12:50:14 00:12:50:17
00:12:50:17 00:12:50:28		GREEN1A*		grün
00:12:50:28 00:12:50:38
00:12:50:38 00:12:50:49		AWARE1*		bewusst
00:12:50:49 00:12:51:15
00:12:51:15 00:12:51:21	It is so that people do go outside, feel well, or things like that.		THROUGH2A	durch
00:12:51:21 00:12:51:24
00:12:51:24 00:12:51:42		PEOPLE2		leute
00:12:51:42 00:12:51:46
00:12:51:46 00:12:52:03		$GEST-OFF1^*
00:12:52:03 00:12:52:17		$ORAL^		wie
00:12:52:17 00:12:52:19
00:12:52:19 00:12:52:38		WELL1*
00:12:52:38 00:12:52:42
00:12:52:42 00:12:52:45		$GEST-OFF1^
00:12:52:45 00:12:53:05
00:12:53:05 00:12:53:36			TO-WALK9A*
00:12:53:36 00:12:53:40					Well, those policies really cause a great deal of awareness.
00:12:53:40 00:12:53:45		$GEST-OFF1^
00:12:53:45 00:12:54:04
00:12:54:04 00:12:54:13						$GEST-ATTENTION1^*
00:12:54:13 00:12:54:19
00:12:54:19 00:12:54:39
00:12:54:39 00:12:55:12						POLITICS1		politik
00:12:55:12 00:12:55:23
00:12:55:23 00:12:55:36						GREAT1A		[MG]
00:12:55:36 00:12:55:47
00:12:55:47 00:12:56:09						AWARE1		bewusst
00:12:56:09 00:12:56:16
00:12:56:16 00:12:56:22					This kind of political awareness didn’t exist before.
00:12:56:22 00:12:56:32						THERE-IS3*		gibt
00:12:56:32 00:12:56:35
00:12:56:35 00:12:56:49						PAST-OR-BACK-THEN1		früher
00:12:56:49 00:12:57:04
00:12:57:04 00:12:57:17						POLITICS1		politik
00:12:57:17 00:12:57:28
00:12:57:28 00:12:57:35						AWARE1		bewusst
00:12:57:35 00:12:57:43
00:12:57:43 00:12:58:02						NOT3A		auch ni{cht}
00:12:58:02 00:12:58:08
00:12:58:08 00:12:58:13					In Hamburg, for example where I live, there were these big signposts saying ‘nature reserve’.
00:12:58:13 00:12:58:19						HAMBURG1*		hamburg
00:12:58:19 00:12:58:23
00:12:58:23 00:12:58:33						TO-SWARM1^*
00:12:58:33 00:12:58:37
00:12:58:37 00:12:59:00						EXAMPLE1		beispiel
00:12:59:00 00:12:59:08
00:12:59:08 00:12:59:10						I2		ich
00:12:59:10 00:12:59:17
00:12:59:17 00:12:59:20						APARTMENT1A*		wohn
00:12:59:20 00:12:59:24
00:12:59:24 00:12:59:43						AREA1A*
00:12:59:43 00:13:00:15
00:13:00:15 00:13:00:25						$PROD
00:13:00:25 00:13:00:45
00:13:00:45 00:13:01:29						SIGN4
00:13:01:29 00:13:01:45
00:13:01:45 00:13:02:16						NATURE8*		naturschutzgebiet
00:13:02:16 00:13:02:37
00:13:02:37 00:13:02:46						PROTECTION1A
00:13:02:46 00:13:02:49
00:13:02:49 00:13:03:36						PLAIN-AREA1*
00:13:03:36 00:13:03:43
00:13:03:43 00:13:03:44					It was close to the sports field.
00:13:03:44 00:13:04:00						SPORTS1A*		sportplatz
00:13:04:00 00:13:04:05
00:13:04:05 00:13:04:41						PLACE6A
00:13:04:41 00:13:04:47
00:13:04:47 00:13:05:02					I used to go mushroom picking in the forest in that area.
00:13:05:02 00:13:05:16						FOREST2B*		im wald
00:13:05:16 00:13:05:21
00:13:05:21 00:13:05:25						I1
00:13:05:25 00:13:05:31
00:13:05:31 00:13:05:37						REGULARLY2*		[MG]
00:13:05:37 00:13:05:43
00:13:05:43 00:13:06:01						MUSHROOM1A		pilz
00:13:06:01 00:13:06:07
00:13:06:07 00:13:06:10						I1
00:13:06:10 00:13:06:18
00:13:06:18 00:13:07:12						TO-COLLECT1*		sammeln
00:13:07:12 00:13:07:23
00:13:07:23 00:13:08:11						AREA2A*
00:13:08:11 00:13:08:14
00:13:08:14 00:13:08:18					About half of the trees there have been cut down.
00:13:08:18 00:13:08:39						$GEST-NM-SHAKE-HEAD1^
00:13:08:39 00:13:09:25						APPROXIMATELY1		[MG]
00:13:09:25 00:13:09:36
00:13:09:36 00:13:10:03						GROUND4A*
00:13:10:03 00:13:10:12
00:13:10:12 00:13:10:35						HALF6		hälfte
00:13:10:35 00:13:11:11						$GEST-NM^
00:13:11:11 00:13:11:19						TREE7
00:13:11:19 00:13:11:37						$PROD
00:13:11:37 00:13:11:46
00:13:11:46 00:13:12:05					They just cleared it and built lots of houses instead.
00:13:12:05 00:13:12:45						$PROD		[MG]
00:13:12:45 00:13:13:02
00:13:13:02 00:13:13:11						HOUSE1A		haus
00:13:13:11 00:13:13:15
00:13:13:15 00:13:13:28						TO-BUILD1*		bau bau
00:13:13:28 00:13:13:41
00:13:13:41 00:13:14:25						$PROD		[MG]
00:13:14:25 00:13:14:31
00:13:14:31 00:13:15:12					The signs lost all their meaning, because the money was needed for something else.
00:13:15:12 00:13:15:25						$PROD
00:13:15:25 00:13:15:29
00:13:15:29 00:13:15:38						WHAT-DOES-THAT-MEAN1		was bedeutet das
00:13:15:38 00:13:15:43
00:13:15:43 00:13:15:45						$INDEX1
00:13:15:45 00:13:16:05	When was that?
00:13:16:05 00:13:16:08
00:13:16:08 00:13:16:16		WHEN1*		wann
00:13:16:16 00:13:16:20			$INDEX1
00:13:16:20 00:13:16:24
00:13:16:24 00:13:16:29
00:13:16:29 00:13:16:31						MONEY1C		geld
00:13:16:31 00:13:16:34		$INDEX1
00:13:16:34 00:13:16:42
00:13:16:42 00:13:16:45		WHEN1*		wann wann
00:13:16:45 00:13:17:03			TO-NEED1				brauch
00:13:17:03 00:13:17:25
00:13:17:25 00:13:18:01			In 1980.
00:13:18:01 00:13:18:12					$NUM-TEEN6A:9d*		neun{zehn}hundertachtzig
00:13:18:12 00:13:18:17					$NUM-HUNDRED4*
00:13:18:17 00:13:18:22
00:13:18:22 00:13:18:39					$NUM-TENS2A:8d*
00:13:18:39 00:13:18:45
00:13:18:45 00:13:19:02	That’s quite a while ago.
00:13:19:02 00:13:19:11		PAST-OR-BACK-THEN1			[MG]
00:13:19:11 00:13:19:35
00:13:19:35 00:13:19:38	Now, everything is changing.
00:13:19:38 00:13:20:04		NOW1*		jetzt
00:13:20:04 00:13:20:19
00:13:20:19 00:13:21:27		TO-CHANGE1B*		[MG]
00:13:21:27 00:13:21:32	Back in 1980, everything was more about the money.
00:13:21:32 00:13:21:46		TIME5A*		zeit
00:13:21:46 00:13:22:11
00:13:22:11 00:13:22:20		PAST-OR-BACK-THEN1*		früher
00:13:22:20 00:13:22:27
00:13:22:27 00:13:22:32		$NUM-TEEN2A:9*		neun{zehnhundert}achtzig
00:13:22:32 00:13:22:33
00:13:22:33 00:13:22:42		$NUM-TENS2B:8d*
00:13:22:42 00:13:22:48
00:13:22:48 00:13:23:04		TO-FOCUS1*
00:13:23:04 00:13:23:08
00:13:23:08 00:13:23:24			MONEY1A	geld
00:13:23:24 00:13:23:27
00:13:23:27 00:13:23:32	But now that’s changing by people fighting for more green. But it will take some time to restore it all.
00:13:23:32 00:13:23:35		NOW1*		jetzt
00:13:23:35 00:13:23:43
00:13:23:43 00:13:24:10		TO-CHANGE1B*
00:13:24:10 00:13:24:18
00:13:24:18 00:13:24:42		PROTEST1*		[MG]
00:13:24:42 00:13:25:06
00:13:25:06 00:13:25:17		GREEN1A*		grün
00:13:25:17 00:13:25:20
00:13:25:20 00:13:25:27		TO-DEVELOP1A*
00:13:25:27 00:13:25:31
00:13:25:31 00:13:25:35		TO-CHANGE1B^*		bis{schen}
00:13:25:35 00:13:25:37
00:13:25:37 00:13:25:43		SLOW1*		langsam
00:13:25:43 00:13:25:47
00:13:25:47 00:13:26:16		TO-DEVELOP1A
00:13:26:16 00:13:26:24
00:13:26:24 00:13:27:41		BACK2*		wieder zu{rück} wieder zu{rück} wieder zurück
00:13:27:41 00:13:28:00
00:13:28:00 00:13:28:13		$GEST-DECLINE1^
00:13:28:13 00:13:28:18
00:13:28:18 00:13:28:30	Hamburg will be inhabited by lots of older people in the future.
00:13:28:30 00:13:28:36		$INDEX1		und
00:13:28:36 00:13:28:43
00:13:28:43 00:13:29:08		FUTURE1A		zukunft
00:13:29:08 00:13:29:14
00:13:29:14 00:13:29:27		OLD8B		alter
00:13:29:27 00:13:29:45			AREA1A
00:13:29:45 00:13:30:00
00:13:30:00 00:13:30:03			HAMBURG1*	hamburg
00:13:30:03 00:13:30:05
00:13:30:05 00:13:30:26			AREA1A
00:13:30:26 00:13:30:38
00:13:30:38 00:13:30:41	I even think that Hamburg will be the city with the oldest people in Germany.
00:13:30:41 00:13:30:47			TO-BELIEVE2B*	glaube
00:13:30:47 00:13:31:02
00:13:31:02 00:13:31:05		$INDEX1
00:13:31:05 00:13:31:12
00:13:31:12 00:13:31:17		HAMBURG1*		ha{mburg}
00:13:31:17 00:13:31:31
00:13:31:31 00:13:31:42			FIRST-OF-ALL1C	erste
00:13:31:42 00:13:32:05
00:13:32:05 00:13:32:16			IN1	hamburg
00:13:32:16 00:13:32:28
00:13:32:28 00:13:33:02			AREA1A*	deutschland
00:13:33:02 00:13:33:07
00:13:33:07 00:13:33:13			TO-BELIEVE2B*	glaube
00:13:33:13 00:13:33:18
00:13:33:18 00:13:33:26			HAMBURG2*	hamburg
00:13:33:26 00:13:33:38
00:13:33:38 00:13:34:04			FIRST-OF-ALL1C	erste
00:13:34:04 00:13:34:08
00:13:34:08 00:13:34:19			AREA1A*
00:13:34:19 00:13:34:22
00:13:34:22 00:13:34:37	Statistically, the percentage of older people is increasing.	$ORAL^		statistisch
00:13:34:37 00:13:34:40		MUCH1A
00:13:34:40 00:13:34:41
00:13:34:41 00:13:34:47		$ORAL^
00:13:34:47 00:13:35:05
00:13:35:05 00:13:35:10		MUCH1A		zu viel
00:13:35:10 00:13:35:18
00:13:35:18 00:13:35:35		PEOPLE2*		leute
00:13:35:35 00:13:35:40
00:13:35:40 00:13:35:46		OLD8B		alt
00:13:35:46 00:13:36:00
00:13:36:00 00:13:36:12		MORE3
00:13:36:12 00:13:36:17
00:13:36:17 00:13:36:21	There are many playgrounds in Hamburg.	IN1*
00:13:36:21 00:13:36:24
00:13:36:24 00:13:36:29		HAMBURG2*		hamb{urg}
00:13:36:29 00:13:36:37
00:13:36:37 00:13:36:43			MUCH1A	viel
00:13:36:43 00:13:36:48
00:13:36:48 00:13:37:15		TO-PLAY1		spielplatz spielplatz spiel{platz}
00:13:37:15 00:13:37:27
00:13:37:27 00:13:38:21			LOCATION1A^*
00:13:38:21 00:13:38:22
00:13:38:22 00:13:38:31	But the number of children is decreasing everywhere.
00:13:38:31 00:13:38:48		CHILD2*		kinderzahl
00:13:38:48 00:13:39:05
00:13:39:05 00:13:39:23		FIGURE2A
00:13:39:23 00:13:39:35
00:13:39:35 00:13:40:49		TO-DECREASE-STH1B*		[MG]
00:13:40:49 00:13:41:02
00:13:41:02 00:13:41:10	That change has already started: now they are building grounds for older people instead.
00:13:41:10 00:13:41:17		$INDEX1
00:13:41:17 00:13:41:48
00:13:41:48 00:13:42:07			ALREADY1A*	schon
00:13:42:07 00:13:42:13
00:13:42:13 00:13:42:20			SLOW1*	langsam
00:13:42:20 00:13:42:35
00:13:42:35 00:13:43:09		TO-MODIFY1*
00:13:43:09 00:13:43:17
00:13:43:17 00:13:43:48		$ALPHA1:S*		seniorplatz
00:13:43:48 00:13:44:08
00:13:44:08 00:13:44:23		LOCATION1A^
00:13:44:23 00:13:44:38
00:13:44:38 00:13:45:07		$ALPHA1:S*		seniorplatz
00:13:45:07 00:13:45:23
00:13:45:23 00:13:45:32		LOCATION1A^
00:13:45:32 00:13:45:43	The big chessboards some playgrounds have remain.
00:13:45:43 00:13:46:14			CHESS1A*	schach
00:13:46:14 00:13:46:23
00:13:46:23 00:13:46:47		TO-STAY2*		bleiben
00:13:46:47 00:13:47:18		PLACE6A*		spielplatz
00:13:47:18 00:13:47:20
00:13:47:20 00:13:47:26	But around it, they rebuild everything as it suits older people, while the actual playgrounds are torn down.
00:13:47:26 00:13:48:00		TO-CHANGE2B*		um
00:13:48:00 00:13:48:12
00:13:48:12 00:13:48:39		$ALPHA1:S*		seniorplatz
00:13:48:39 00:13:48:47
00:13:48:47 00:13:49:08		TO-STAY2*
00:13:49:08 00:13:49:23
00:13:49:23 00:13:49:37		PLACE8B		spielplatz
00:13:49:37 00:13:49:41
00:13:49:41 00:13:49:48		TO-PLAY1*
00:13:49:48 00:13:50:01
00:13:50:01 00:13:50:25		PLACE8B*
00:13:50:25 00:13:50:31
00:13:50:31 00:13:50:44		TO-TAKE-AWAY2*		ab
00:13:50:44 00:13:51:09	That’s how more and more grounds for older people develop.
00:13:51:09 00:13:51:20		TO-CHANGE2B*		um
00:13:51:20 00:13:51:35
00:13:51:35 00:13:52:03		$ALPHA1:S*		seniorplatz
00:13:52:03 00:13:52:08
00:13:52:08 00:13:52:17		ALREADY1B*		schon
00:13:52:17 00:13:52:40
00:13:52:40 00:13:53:22		TO-ORIGINATE1*		[MG]
00:13:53:22 00:13:53:26
00:13:53:26 00:13:53:31	But so far, Hamburg has been the only city in Germany to do this.	SOLE1*		glaub
00:13:53:31 00:13:53:33
00:13:53:33 00:13:53:41		FIRST-OF-ALL1A*
00:13:53:41 00:13:53:48
00:13:53:48 00:13:54:11		SOLE1		einzig
00:13:54:11 00:13:54:23
00:13:54:23 00:13:54:30		HAMBURG1		ham{burg}
00:13:54:30 00:13:54:37
00:13:54:37 00:13:55:31		AREA1A*		von deutschland
00:13:55:31 00:13:55:46
00:13:55:46 00:13:56:02		TO-ORIGINATE1*			Great!
00:13:56:02 00:13:56:08
00:13:56:08 00:13:56:22						GREAT1A		toll
00:13:56:22 00:13:56:32
00:13:56:32 00:13:56:34
00:13:56:34 00:13:56:42	I quite like that.
00:13:56:42 00:13:56:44
00:13:56:44 00:13:56:48		I2		[MG]
00:13:56:48 00:13:57:05
00:13:57:05 00:13:57:13		GOOD1		gut
00:13:57:13 00:13:57:27
00:13:57:27 00:13:57:44
00:13:57:44 00:13:58:11					They also need space and activity.
00:13:58:11 00:13:58:19						$GEST-OFF1^
00:13:58:19 00:13:58:25
00:13:58:25 00:13:58:35						TO-NEED1		brauch
00:13:58:35 00:13:58:42
00:13:58:42 00:13:59:04						ALSO3A		auch
00:13:59:04 00:13:59:29
00:13:59:29 00:14:00:00						PLACE4		platz
00:14:00:00 00:14:00:04
00:14:00:04 00:14:00:36						MOVEMENT1A		bewegung
00:14:00:36 00:14:00:44
00:14:00:44 00:14:01:01						TO-NEED1		brauch
00:14:01:01 00:14:01:14
00:14:01:14 00:14:04:41
00:14:04:41 00:14:05:12					Hamburg doesn’t really have that many children.
00:14:05:12 00:14:05:18						HAMBURG1*		hamburg
00:14:05:18 00:14:05:24
00:14:05:24 00:14:05:47						SURROUNDING1A*
00:14:05:47 00:14:06:12
00:14:06:12 00:14:07:16						GREAT1B^		[MG]
00:14:07:16 00:14:07:26
00:14:07:26 00:14:07:30						MUCH1C*		viel
00:14:07:30 00:14:07:35
00:14:07:35 00:14:08:03						CHILD2*		kinder
00:14:08:03 00:14:08:17
00:14:08:17 00:14:10:12						$GEST-TO-FOLD-ONES-HANDS1^		[MG]
00:14:10:12 00:14:10:22	I read in the newspaper that many people used to buy houses outside of Hamburg.
00:14:10:22 00:14:10:29
00:14:10:29 00:14:10:32		NOW1*		jetzt
00:14:10:32 00:14:10:38
00:14:10:38 00:14:10:41		WHAT1A*		was
00:14:10:41 00:14:11:02
00:14:11:02 00:14:11:19		NEWSPAPER1A		zeitung
00:14:11:19 00:14:11:49
00:14:11:49 00:14:12:17			PAST-OR-BACK-THEN1	früher
00:14:12:17 00:14:12:38
00:14:12:38 00:14:13:10		FAMILY1		familie
00:14:13:10 00:14:13:33
00:14:13:33 00:14:14:12		BEYOND3*		außerhalb
00:14:14:12 00:14:14:19
00:14:14:19 00:14:14:24		HOUSE1B*		haus
00:14:14:24 00:14:14:32
00:14:14:32 00:14:15:13		TO-BUY1A*		kauf kauf kauf
00:14:15:13 00:14:15:15
00:14:15:15 00:14:15:27	Now there is more of a cultural program in Hamburg, it’s trendy/
00:14:15:27 00:14:15:37		NOW1*		jetzt
00:14:15:37 00:14:16:02
00:14:16:02 00:14:16:12		HAMBURG1*		ham{burg}
00:14:16:12 00:14:16:22
00:14:16:22 00:14:16:25			MORE1*	mehr
00:14:16:25 00:14:16:41
00:14:16:41 00:14:17:13		CULTURE1A		kultur
00:14:17:13 00:14:17:28
00:14:17:28 00:14:17:41		MORE1*		mehr
00:14:17:41 00:14:18:00
00:14:18:00 00:14:18:16		$GEST-TO-PONDER1^*
00:14:18:16 00:14:18:46
00:14:18:46 00:14:19:08		LUXURIOUS1*		[MG]
00:14:19:08 00:14:19:16
00:14:19:16 00:14:19:22		$GEST-OFF1^		[MG]
00:14:19:22 00:14:19:42	It’s democratic and more child-friendly.
00:14:19:42 00:14:20:03			TO-UNDERSTAND1^	demokratie
00:14:20:03 00:14:20:11
00:14:20:11 00:14:20:23		TO-OPEN3^
00:14:20:23 00:14:20:46
00:14:20:46 00:14:21:03		CHILD2*		kinder
00:14:21:03 00:14:21:16
00:14:21:16 00:14:21:22		MORE1*		mehr
00:14:21:22 00:14:21:33
00:14:21:33 00:14:22:02			FRIENDLY2*	freundlich
00:14:22:02 00:14:22:37
00:14:22:37 00:14:22:41	All the young and modern parents are moving back because of that.
00:14:22:41 00:14:23:00		MORE1^		jetzt
00:14:23:00 00:14:23:13
00:14:23:13 00:14:23:23		YOUNG1*		junge
00:14:23:23 00:14:23:31
00:14:23:31 00:14:23:39		MARRIAGE1		ehepaar
00:14:23:39 00:14:23:45
00:14:23:45 00:14:23:48			BIT1B	bi{sschen}
00:14:23:48 00:14:24:12
00:14:24:12 00:14:24:34			MODERN1B	modern
00:14:24:34 00:14:24:48
00:14:24:48 00:14:25:31			BACK1A*	zurück zurück zu{rück}
00:14:25:31 00:14:25:34
00:14:25:34 00:14:25:38	These families like to live in the city.
00:14:25:38 00:14:25:48		FAMILY1		familie
00:14:25:48 00:14:26:06
00:14:26:06 00:14:26:10			IN1*	in
00:14:26:10 00:14:26:17
00:14:26:17 00:14:26:31		CITY2		stadt
00:14:26:31 00:14:26:46
00:14:26:46 00:14:27:13			BACK1A*	immer wieder zu{rück}
00:14:27:13 00:14:27:16
00:14:27:16 00:14:27:31	It’s not common anymore to have houses outside the city.
00:14:27:31 00:14:27:41		HOUSE1B		haus
00:14:27:41 00:14:28:02
00:14:28:02 00:14:28:35		AREA1A*
00:14:28:35 00:14:28:46
00:14:28:46 00:14:29:14		NOT-ANYMORE1A		nicht mehr
00:14:29:14 00:14:29:28
00:14:29:28 00:14:29:36	It’s too boring; nothing is going on there.
00:14:29:36 00:14:29:48			BOREDOM1	zu langweilig
00:14:29:48 00:14:30:16
00:14:30:16 00:14:30:34		CULTURE1B*		kein kultur
00:14:30:34 00:14:30:40
00:14:30:40 00:14:31:08		$GEST-DECLINE1^
00:14:31:08 00:14:31:11
00:14:31:11 00:14:31:37	Many young families like to live in Hamburg, in the city.
00:14:31:37 00:14:31:42			MUCH1A	viel
00:14:31:42 00:14:32:08
00:14:32:08 00:14:32:12		FAMILY1*
00:14:32:12 00:14:32:18
00:14:32:18 00:14:32:26			YOUNG1*	junge
00:14:32:26 00:14:32:33
00:14:32:33 00:14:32:42		FAMILY1		familie
00:14:32:42 00:14:32:46
00:14:32:46 00:14:33:02		GLADLY1*		gern
00:14:33:02 00:14:33:07
00:14:33:07 00:14:33:12		IN1*		in
00:14:33:12 00:14:33:22
00:14:33:22 00:14:33:28		HAMBURG1*		hamburg
00:14:33:28 00:14:33:37
00:14:33:37 00:14:34:02		CITY2*		stadt
00:14:34:02 00:14:34:10
00:14:34:10 00:14:34:17		APARTMENT7*		wohnen
00:14:34:17 00:14:34:22
00:14:34:22 00:14:34:35		FAMILY1		familie
00:14:34:35 00:14:34:49
00:14:34:49 00:14:35:04	It’s becoming more and more now.	NOW1*		jetzt
00:14:35:04 00:14:35:24
00:14:35:24 00:14:35:41		MORE3		mehr
00:14:35:41 00:14:35:48
00:14:35:48 00:14:36:06	That’s why the rents in Hamburg are raised on purpose.	$ORAL^		darum
00:14:36:06 00:14:36:16
00:14:36:16 00:14:36:24		HAMBURG1*		hamburg
00:14:36:24 00:14:36:37
00:14:36:37 00:14:37:04			PURPOSE3	absicht
00:14:37:04 00:14:37:32
00:14:37:32 00:14:37:42		RENT1*		miet
00:14:37:42 00:14:38:14
00:14:38:14 00:14:39:39			TO-RAISE2*	[MG]
00:14:39:39 00:14:40:05
00:14:40:05 00:14:41:22
00:14:41:22 00:14:41:35					There are more families returning.
00:14:41:35 00:14:41:38						$INDEX1
00:14:41:38 00:14:42:06
00:14:42:06 00:14:42:49						BACK1A*		zurück zurück
00:14:42:49 00:14:43:10
00:14:43:10 00:14:43:14					And then a lot of new things are emerging.
00:14:43:14 00:14:43:28						ALSO1A*		auch
00:14:43:28 00:14:43:38
00:14:43:38 00:14:43:47						NEW4B*		neu
00:14:43:47 00:14:44:22
00:14:44:22 00:14:44:49						TO-PRODUCE1*		produktion
00:14:44:49 00:14:45:11
00:14:45:11 00:14:45:17					As for example the building of terrace houses.
00:14:45:17 00:14:45:38						EXAMPLE1*		beispiel
00:14:45:38 00:14:45:49
00:14:45:49 00:14:46:05						HOUSE1A*		hausbau
00:14:46:05 00:14:46:14
00:14:46:14 00:14:46:22						TO-BUILD1
00:14:46:22 00:14:46:39
00:14:46:39 00:14:47:16						$PROD		[MG]
00:14:47:16 00:14:47:27
00:14:47:27 00:14:48:07					It’s a good thing for the communities, and for the families to get together as well.
00:14:48:07 00:14:48:14						WITH1A		mit
00:14:48:14 00:14:48:22
00:14:48:22 00:14:48:35						$PROD
00:14:48:35 00:14:49:06
00:14:49:06 00:14:49:28						COMMUNITY4		[MG]
00:14:49:28 00:14:49:34
00:14:49:34 00:14:49:44						FAMILY1		familienfreundlich
00:14:49:44 00:14:50:01
00:14:50:01 00:14:50:10						FRIENDLY2
00:14:50:10 00:14:50:15
00:14:50:15 00:14:50:37						TO-SWARM1
00:14:50:37 00:14:51:08
00:14:51:08 00:14:51:10					That’s where everybody is moving these days.
00:14:51:10 00:14:51:17						ALL1B*		alle
00:14:51:17 00:14:51:21
00:14:51:21 00:14:52:00						TO-MOVE-IN1*
00:14:52:00 00:14:52:09
00:14:52:09 00:14:52:11					The children can socialise easily.
00:14:52:11 00:14:52:21						CHILD2*		kinder
00:14:52:21 00:14:52:24
00:14:52:24 00:14:53:29						CONTACT2A*		kon{takt} kon{takt} kon{takt} kontakt
00:14:53:29 00:14:53:31
00:14:53:31 00:14:53:38					So that’s right.
00:14:53:38 00:14:54:08						RIGHT-OR-AGREED1A		stimmt
00:14:54:08 00:14:54:17
00:14:54:17 00:14:54:33					Wherever you look, you see old people in most of these houses.
00:14:54:33 00:14:54:46						HOUSE1A		haus
00:14:54:46 00:14:55:17
00:14:55:17 00:14:55:23						WHERE2
00:14:55:23 00:14:55:30
00:14:55:30 00:14:56:21						OLD2C*	$INDEX1*	alt alt alt alt alt
00:14:56:21 00:14:56:33
00:14:56:33 00:14:56:36					But children? They are nowhere to be seen.
00:14:56:36 00:14:56:47						CHILD2*		kinder
00:14:56:47 00:14:57:07
00:14:57:07 00:14:57:23						WHERE2		wo
00:14:57:23 00:14:57:44
00:14:57:44 00:14:58:02					So that’s true as well.
00:14:58:02 00:14:58:24						RIGHT-OR-AGREED1B*		stimmt
00:14:58:24 00:14:58:36
00:14:58:36 00:14:58:47					It varies.
00:14:58:47 00:14:59:16						$$EXTRA-LING-ACT^
00:14:59:16 00:14:59:27
00:14:59:27 00:14:59:39						DIFFERENCE1A*
00:14:59:39 00:14:59:47
00:14:59:47 00:15:00:08					New developments take place all the time.
00:15:00:08 00:15:00:19						TO-DEVELOP1A*
00:15:00:19 00:15:00:23
00:15:00:23 00:15:01:09						NEW1A*		neu neu neu
00:15:01:09 00:15:01:13
00:15:01:13 00:15:01:49						TO-DEVELOP1A		entwickeln
00:15:01:49 00:15:02:18
00:15:02:18 00:15:02:22	In the future, I would like to move into a two-room apartment.
00:15:02:22 00:15:02:28
00:15:02:28 00:15:02:32			I1	ich
00:15:02:32 00:15:02:38
00:15:02:38 00:15:02:43			TO-WISH1A	wünsch
00:15:02:43 00:15:03:01
00:15:03:01 00:15:03:12			FUTURE1A	zukunft
00:15:03:12 00:15:03:19
00:15:03:19 00:15:03:23			$NUM-ONE-TO-TEN1A:2	zwei-zimmer-wohnung
00:15:03:23 00:15:03:38
00:15:03:38 00:15:03:44		CHAMBER1A*
00:15:03:44 00:15:04:01
00:15:04:01 00:15:04:11		APARTMENT2B*
00:15:04:11 00:15:04:24
00:15:04:24 00:15:05:04		TO-MOVE1*		umziehen
00:15:05:04 00:15:05:12	Two rooms are already incredibly expensive.
00:15:05:12 00:15:05:16		$NUM-ONE-TO-TEN1A:2*		zwei
00:15:05:16 00:15:05:21
00:15:05:21 00:15:05:25		CHAMBER1A*		zimmer
00:15:05:25 00:15:05:31
00:15:05:31 00:15:05:48			ALREADY1A*	schon
00:15:05:48 00:15:06:23
00:15:06:23 00:15:06:34			EXPENSIVE1	teuer
00:15:06:34 00:15:06:49
00:15:06:49 00:15:07:05	It’s just like a four-room apartment.		LIKE2*	wie
00:15:07:05 00:15:07:09
00:15:07:09 00:15:07:14			$NUM-ONE-TO-TEN1A:4	vier
00:15:07:14 00:15:07:28
00:15:07:28 00:15:07:39		CHAMBER1A*		zimmer
00:15:07:39 00:15:08:06
00:15:08:06 00:15:08:35	Many people prefer to live in a two-room apartment.
00:15:08:35 00:15:08:41			MUCH1C*	viel
00:15:08:41 00:15:08:42
00:15:08:42 00:15:08:46			TO-BELONG1^*
00:15:08:46 00:15:09:00
00:15:09:00 00:15:09:11			RATHER1	wollen lieber
00:15:09:11 00:15:09:21
00:15:09:21 00:15:09:24			$NUM-ONE-TO-TEN1A:2	zwei
00:15:09:24 00:15:09:31
00:15:09:31 00:15:09:42		CHAMBER1A*		zimmer
00:15:09:42 00:15:09:44
00:15:09:44 00:15:09:46	At the moment, the price per square metre is really high.
00:15:09:46 00:15:10:01			MOMENT1*	moment
00:15:10:01 00:15:10:12
00:15:10:12 00:15:10:17		RENT1*
00:15:10:17 00:15:10:27
00:15:10:27 00:15:10:48		SQUARE1		pro qua{dratmeter}
00:15:10:48 00:15:11:01
00:15:11:01 00:15:11:07		$GEST-NM-SHAKE-HEAD1^		zu
00:15:11:07 00:15:11:36
00:15:11:36 00:15:11:48			EXPENSIVE1	teuer
00:15:11:48 00:15:12:02
00:15:12:02 00:15:12:23			MORE6*
00:15:12:23 00:15:12:29
00:15:12:29 00:15:12:36	In comparison, four-room apartments are much cheaper.
00:15:12:36 00:15:12:40			$NUM-ONE-TO-TEN1A:4	vier
00:15:12:40 00:15:12:47
00:15:12:47 00:15:13:09		CHAMBER1A		zimmer
00:15:13:09 00:15:13:15
00:15:13:15 00:15:13:18			MOMENT1*	moment
00:15:13:18 00:15:13:24
00:15:13:24 00:15:14:13		CHEAP5*		billig billig
00:15:14:13 00:15:14:25
00:15:14:25 00:15:15:02
00:15:15:02 00:15:15:16	I feel like that also has to do with Hamburg being an interesting city.
00:15:15:16 00:15:15:20			HAMBURG1*	ham{burg}
00:15:15:20 00:15:15:31
00:15:15:31 00:15:15:37			TO-SAY1^*
00:15:15:37 00:15:15:42
00:15:15:42 00:15:16:04			INTEREST1B	interessant
00:15:16:04 00:15:16:09
00:15:16:09 00:15:16:21		CITY2*		stadt
00:15:16:21 00:15:16:25
00:15:16:25 00:15:16:29			$GEST-OFF1^*
00:15:16:29 00:15:16:47
00:15:16:47 00:15:17:10	I can see that when I have guests.
00:15:17:10 00:15:17:22		$ORAL^		wenn
00:15:17:22 00:15:17:31
00:15:17:31 00:15:18:01		OUTWARDS1^*		besuch
00:15:18:01 00:15:18:04
00:15:18:04 00:15:18:24	I’ll give them a city tour.
00:15:18:24 00:15:18:27			ONLY2B*	nur
00:15:18:27 00:15:18:34
00:15:18:34 00:15:18:47		TO-LEAD1A*		führen
00:15:18:47 00:15:19:11
00:15:19:11 00:15:19:23			$INDEX1
00:15:19:23 00:15:19:25
00:15:19:25 00:15:19:28	They usually ask me why I know so much about Hamburg’s history.
00:15:19:28 00:15:19:45			QUESTION1*	immer frage
00:15:19:45 00:15:20:03
00:15:20:03 00:15:20:11		WHY1*		warum
00:15:20:11 00:15:20:16
00:15:20:16 00:15:20:24		HISTORY-OR-STORY2*		gesch{ichte}
00:15:20:24 00:15:20:29
00:15:20:29 00:15:20:43			PAST-OR-BACK-THEN1*	früh{er}
00:15:20:43 00:15:21:15	I know a lot about it, and even the floods here are something special.
00:15:21:15 00:15:21:22			TO-KNOW-STH2B	weiß
00:15:21:22 00:15:21:28
00:15:21:28 00:15:21:32			MUCH1C*
00:15:21:32 00:15:21:47		$ORAL^		noch
00:15:21:47 00:15:22:04			PARTICULARLY3	besonders
00:15:22:04 00:15:22:26
00:15:22:26 00:15:23:06		FLOODWATERS1		hochwass
00:15:23:06 00:15:23:23
00:15:23:23 00:15:23:24	Sometimes there are storm tides.
00:15:23:24 00:15:23:47		$PROD		sturmf{lut}
00:15:23:47 00:15:24:22
00:15:24:22 00:15:25:06	It’s unbelievable, the flood protection concrete walls that are here.		INCREDIBLE2	unglaublich
00:15:25:06 00:15:25:23
00:15:25:23 00:15:25:42		PROTECTION1A		[MG]
00:15:25:42 00:15:26:04
00:15:26:04 00:15:26:13		HARD1A^*		beton
00:15:26:13 00:15:26:22
00:15:26:22 00:15:26:24		$PROD
00:15:26:24 00:15:26:43
00:15:26:43 00:15:27:09			$PROD	[MG]
00:15:27:09 00:15:27:11
00:15:27:11 00:15:27:14	At the fish market, which you already referred to, everything stays safe in case of a flood.
00:15:27:14 00:15:27:30		FISH1		fischmarkt
00:15:27:30 00:15:27:34
00:15:27:34 00:15:27:40		$INDEX1
00:15:27:40 00:15:27:49
00:15:27:49 00:15:28:07		$ALPHA1:S		fischauktion{shalle}
00:15:28:07 00:15:28:14
00:15:28:14 00:15:28:18		$ALPHA1:K
00:15:28:18 00:15:28:22
00:15:28:22 00:15:29:04		AREA1A
00:15:29:04 00:15:29:27		$PROD
00:15:29:27 00:15:29:34
00:15:29:34 00:15:29:39			$INDEX1
00:15:29:39 00:15:30:07
00:15:30:07 00:15:30:21		STABLE1B		[MG]
00:15:30:21 00:15:30:34
00:15:30:34 00:15:30:38	That’s unbelievable!
00:15:30:38 00:15:31:16		INCREDIBLE2		unglaublich
00:15:31:16 00:15:31:18
00:15:31:18 00:15:31:30		APPLAUSE1^*
00:15:31:30 00:15:31:36	I’ll show them the Reeperbahn, so, the well-renowned things.
00:15:31:36 00:15:31:45		PRESENT-OR-HERE1*
00:15:31:45 00:15:31:48
00:15:31:48 00:15:32:09		$INDEX1
00:15:32:09 00:15:32:12
00:15:32:12 00:15:32:27		TO-GROPE-AROUND1^*
00:15:32:27 00:15:32:44
00:15:32:44 00:15:33:07		REEPERBAHN1		reeperbahn
00:15:33:07 00:15:33:18
00:15:33:18 00:15:33:26		WELL-KNOWN1A
00:15:33:26 00:15:33:33
00:15:33:33 00:15:33:37		I1
00:15:33:37 00:15:33:40
00:15:33:40 00:15:33:47		$GEST-OFF1^
00:15:33:47 00:15:34:05
00:15:34:05 00:15:34:10		TO-GROPE-AROUND1^*
00:15:34:10 00:15:34:24		TO-SWARM1*
00:15:34:24 00:15:34:30
00:15:34:30 00:15:34:36		$GEST-OFF1^
00:15:34:36 00:15:34:48
00:15:34:48 00:15:35:10	Wandsbek is also an interesting part of the city.
00:15:35:10 00:15:35:20		WANDSBEK1		wandsbek wandsbek
00:15:35:20 00:15:35:44
00:15:35:44 00:15:36:12		INTEREST1B		auch interessant
00:15:36:12 00:15:36:18
00:15:36:18 00:15:36:27		CITY2
00:15:36:27 00:15:36:34
00:15:36:34 00:15:36:36	I shouldn’t be mocked because of it.
00:15:36:36 00:15:37:03		DIFFERENT2^*		verspot{ten}
00:15:37:03 00:15:37:09
00:15:37:09 00:15:37:15		ON-PERSON1*
00:15:37:15 00:15:37:30	Wandsbek is quite a special area.
00:15:37:30 00:15:37:39		WANDSBEK1		wandsbek
00:15:37:39 00:15:37:47
00:15:37:47 00:15:38:05		PARTICULARLY1A		besonders
00:15:38:05 00:15:38:12
00:15:38:12 00:15:38:22		CITY2*
00:15:38:22 00:15:38:32					No, I’m not mocking/
00:15:38:32 00:15:38:48						DIFFERENT2^*		verspott
00:15:38:48 00:15:39:14
00:15:39:14 00:15:39:32					Look.	$GEST-ATTENTION1^
00:15:39:32 00:15:39:35
00:15:39:35 00:15:39:41					I’m not mocking any of it.	I1		ich
00:15:39:41 00:15:39:45
00:15:39:45 00:15:40:12						DIFFERENT2^*		verspotte
00:15:40:12 00:15:40:20
00:15:40:20 00:15:40:32						NOT3A		nicht
00:15:40:32 00:15:40:46
00:15:40:46 00:15:41:09					In Wandsbek/
00:15:41:09 00:15:41:19						$INDEX1
00:15:41:19 00:15:41:25
00:15:41:25 00:15:42:00						WANDSBEK1		wandsbek
00:15:42:00 00:15:43:12
00:15:43:12 00:15:43:18						$GEST-OFF1^
00:15:43:18 00:15:43:40					I find it quite interesting that Hamburg also has some poor areas.
00:15:43:40 00:15:43:49						HAMBURG1*		hamburg aber
00:15:43:49 00:15:44:03
00:15:44:03 00:15:44:17						AREA1A^*
00:15:44:17 00:15:44:22
00:15:44:22 00:15:44:34						INTEREST1B		interessant
00:15:44:34 00:15:44:42
00:15:44:42 00:15:44:48						HAMBURG2*		hamburg
00:15:44:48 00:15:45:03
00:15:45:03 00:15:45:24						AREA1A*
00:15:45:24 00:15:45:31
00:15:45:31 00:15:45:42						THERE-IS3*		gibt
00:15:45:42 00:15:45:49
00:15:45:49 00:15:46:03						ALSO3B		auch
00:15:46:03 00:15:46:12
00:15:46:12 00:15:46:29						BEING-POOR3		armenviertel
00:15:46:29 00:15:46:42	Yes.
00:15:46:42 00:15:46:43						QUARTER1*
00:15:46:43 00:15:48:21		$GEST-NM-NOD-HEAD1^		[MG] ja
00:15:48:21 00:15:48:22
00:15:48:22 00:15:48:27
00:15:48:27 00:15:48:43
00:15:48:43 00:15:49:15					There’s Muemmelmannsberg, for instance.	LOCATION1C*
00:15:49:15 00:15:49:27
00:15:49:27 00:15:49:48						TO-WIGGLE-ONES-EARS1A^*		mümmelmannsberg
00:15:49:48 00:15:50:04
00:15:50:04 00:15:50:13						LOCATION1C*
00:15:50:13 00:15:50:25
00:15:50:25 00:15:51:22					And in the south, well.
00:15:51:22 00:15:51:35							$GEST-TO-PONDER1^	und
00:15:51:35 00:15:52:01							SOUTH1A	süden
00:15:52:01 00:15:52:13
00:15:52:13 00:15:52:38						LOCATION1C*		[MG]
00:15:52:38 00:15:52:42	Wilhelmsburg!
00:15:52:42 00:15:53:09
00:15:53:09 00:15:54:02		$ALPHA1:W		wilhelmsburg wilhelmsburg		TO-RUB-ONES-HANDS-TOGETHER1^*
00:15:54:02 00:15:54:10			Exactly!
00:15:54:10 00:15:54:25					$INDEX1
00:15:54:25 00:15:54:29
00:15:54:29 00:15:55:01
00:15:55:01 00:15:55:41
00:15:55:41 00:15:56:03	About poor people - I’ve recently read a newspaper article.	I2		aber
00:15:56:03 00:15:56:18
00:15:56:18 00:15:56:30		TEXT1B*
00:15:56:30 00:15:57:04
00:15:57:04 00:15:57:15			$INDEX1	auch
00:15:57:15 00:15:57:29
00:15:57:29 00:15:57:39		BEING-POOR3		arm
00:15:57:39 00:15:58:01
00:15:58:01 00:15:58:13		RECENTLY1A
00:15:58:13 00:15:58:26
00:15:58:26 00:15:58:45		NEWSPAPER1A		zeitung
00:15:58:45 00:15:58:48
00:15:58:48 00:15:59:12	The title was “Living on Hartz IV” all around Hamburg [Hartz IV: German system of unemployment benefits and social assistance].
00:15:59:12 00:15:59:21			$GEST^*
00:15:59:21 00:15:59:30
00:15:59:30 00:15:59:48			TO-SAY1	sagt man
00:15:59:48 00:16:00:23
00:16:00:23 00:16:00:37		TO-LIVE1B		leben
00:16:00:37 00:16:00:42
00:16:00:42 00:16:00:44		FROM-OR-BY-OR-OF2		von
00:16:00:44 00:16:01:03
00:16:01:03 00:16:01:11			HARTZ1A*	hartz vier
00:16:01:11 00:16:01:30
00:16:01:30 00:16:02:21			MONTH1^*
00:16:02:21 00:16:02:29
00:16:02:29 00:16:03:18			AREA1A^*
00:16:03:18 00:16:03:22	I thought it would mostly concern Wilhelmsburg, but that wasn’t true.
00:16:03:22 00:16:03:29		TO-BELIEVE2B		glaub
00:16:03:29 00:16:03:39
00:16:03:39 00:16:03:43		MOST1A*		meist
00:16:03:43 00:16:04:02
00:16:04:02 00:16:04:33		$INDEX1*		[MG]
00:16:04:33 00:16:04:40
00:16:04:40 00:16:05:22		$ALPHA1:W		wilhelmsburg
00:16:05:22 00:16:05:33
00:16:05:33 00:16:06:11		RIGHT-OR-AGREED1A*		stimmt nicht
00:16:06:11 00:16:06:15
00:16:06:15 00:16:06:20	Billstedt is at the top.
00:16:06:20 00:16:06:25		$ALPHA1:B		billstedt
00:16:06:25 00:16:06:30
00:16:06:30 00:16:07:05		$INDEX1
00:16:07:05 00:16:07:25
00:16:07:25 00:16:07:44			MOST1A	[MG]
00:16:07:44 00:16:08:03
00:16:08:03 00:16:08:13	Hartz IV doesn’t actually imply poverty.	HARTZ1B*		hartz vier
00:16:08:13 00:16:08:21
00:16:08:21 00:16:08:32			MONTH1^*
00:16:08:32 00:16:08:38
00:16:08:38 00:16:08:45		MUST1*		muss nicht
00:16:08:45 00:16:09:08
00:16:09:08 00:16:09:13		BEING-POOR3		arm
00:16:09:13 00:16:09:20
00:16:09:20 00:16:09:22	It can also concern older people.
00:16:09:22 00:16:09:29		MEANING1*		bed{eutet}
00:16:09:29 00:16:09:36
00:16:09:36 00:16:09:42		OLD8B		alte
00:16:09:42 00:16:09:48
00:16:09:48 00:16:10:13		PEOPLE2		leute
00:16:10:13 00:16:10:23
00:16:10:23 00:16:10:34		ALSO3A		auch
00:16:10:34 00:16:10:40
00:16:10:40 00:16:10:44	Or people who don’t have any money or have a low income can be affected.	OR1*		oder
00:16:10:44 00:16:11:01
00:16:11:01 00:16:11:16		MONEY1A*
00:16:11:16 00:16:11:24
00:16:11:24 00:16:11:35		NOTHING1A^		kein
00:16:11:35 00:16:11:43
00:16:11:43 00:16:12:12		INCOME1		einkommensschwäche
00:16:12:12 00:16:12:24
00:16:12:24 00:16:12:36		WEAK1
00:16:12:36 00:16:13:07
00:16:13:07 00:16:13:10			MONEY1C	ob
00:16:13:10 00:16:13:13
00:16:13:13 00:16:13:25		PRESENT-OR-HERE1*		wenn da
00:16:13:25 00:16:13:29
00:16:13:29 00:16:13:40	So, Billstedt is at the top of the parts of town drawing Hartz IV, second and third place are Langenhorn and Wilhelmsburg.
00:16:13:40 00:16:13:44			HARTZ1B	hartz vier
00:16:13:44 00:16:14:07
00:16:14:07 00:16:14:19			$NUM-TALLY-MARKS1:4
00:16:14:19 00:16:14:28
00:16:14:28 00:16:14:36		MOST1A		[MG]
00:16:14:36 00:16:14:46
00:16:14:46 00:16:15:46		$INDEX1		billstedt
00:16:15:46 00:16:16:20			$NUM-ORDINAL1:2d	zweite
00:16:16:20 00:16:16:27
00:16:16:27 00:16:16:36			$NUM-ORDINAL1:3d	dritte
00:16:16:36 00:16:17:07
00:16:17:07 00:16:17:28		HORNS1B^*		langenhorn
00:16:17:28 00:16:17:35
00:16:17:35 00:16:19:00			$INDEX1
00:16:19:00 00:16:19:15
00:16:19:15 00:16:19:36		$INDEX1		wilhelmsburg
00:16:19:36 00:16:20:02
00:16:20:02 00:16:20:23		BAD-OR-STALE2A
00:16:20:23 00:16:20:30
00:16:20:30 00:16:20:39	There are very many unemployed people living in Wilhelmsburg.	ONLY2B*		nur
00:16:20:39 00:16:20:46		MUCH4
00:16:20:46 00:16:21:19		$ORAL^		wilhelms{burg}
00:16:21:19 00:16:21:29
00:16:21:29 00:16:21:38		MUCH1A		zu viel
00:16:21:38 00:16:21:42
00:16:21:42 00:16:21:46		TO-WORK2*		arbeitslos
00:16:21:46 00:16:22:06		$MORPH-LESS3*
00:16:22:06 00:16:22:16		$ORAL^		aber
00:16:22:16 00:16:22:33		$INDEX1		wilhelms{burg}
00:16:22:33 00:16:22:34
00:16:22:34 00:16:23:00	So, Wilhelmsburg was in third place, Veddel was mentioned with only a small number.
00:16:23:00 00:16:23:13			$NUM-ORDINAL1:3d	dritte
00:16:23:13 00:16:23:20
00:16:23:20 00:16:24:16		$INDEX1*		wilhelmsburg
00:16:24:16 00:16:24:32
00:16:24:32 00:16:25:03		$ALPHA1:V-E-D		veddel
00:16:25:03 00:16:25:12
00:16:25:12 00:16:25:49		LITTLE-BIT9*
00:16:25:49 00:16:26:11
00:16:26:11 00:16:26:32	The Hafencity was said to draw zero benefits.
00:16:26:32 00:16:26:49			$NUM-ZERO1B	null
00:16:26:49 00:16:27:07
00:16:27:07 00:16:27:13			HARBOUR1*	hafencity
00:16:27:13 00:16:27:26
00:16:27:26 00:16:27:43		DOWNTOWN1
00:16:27:43 00:16:27:46
00:16:27:46 00:16:28:07	Wandsbek was said to be better off than Barmbek.
00:16:28:07 00:16:28:13			$INDEX1
00:16:28:13 00:16:28:36
00:16:28:36 00:16:29:15			AREA1A^*
00:16:29:15 00:16:29:36		WANDSBEK1		wandsbek
00:16:29:36 00:16:29:49
00:16:29:49 00:16:30:09		$INDEX1
00:16:30:09 00:16:30:36
00:16:30:36 00:16:30:49		BETTER1		besser
00:16:30:49 00:16:31:12
00:16:31:12 00:16:31:26		AS3		als
00:16:31:26 00:16:31:42
00:16:31:42 00:16:32:15		BARMBEK1		barmbek
00:16:32:15 00:16:32:23
00:16:32:23 00:16:32:43		$GEST-OFF1^*
00:16:32:43 00:16:33:00
00:16:33:00 00:16:33:28	These annual statistics on the different parts of the city also show the number of people who received Hartz IV benefits that year, for example in Billstedt.		DIALECT1^
00:16:33:28 00:16:33:43
00:16:33:43 00:16:34:17			AREA1A^*
00:16:34:17 00:16:34:25
00:16:34:25 00:16:34:32			MONEY1C
00:16:34:32 00:16:34:44
00:16:34:44 00:16:35:16			YEAR1B	jahr
00:16:35:16 00:16:35:21
00:16:35:21 00:16:35:28			HARTZ1B	hartz vier
00:16:35:28 00:16:35:38
00:16:35:38 00:16:35:46		MONTH1^*
00:16:35:46 00:16:35:49
00:16:35:49 00:16:36:16			DIALECT1^*
00:16:36:16 00:16:36:21		$ALPHA1:B*		bill{stedt}
00:16:36:21 00:16:36:29
00:16:36:29 00:16:36:33	I think in Mümmelmannsberg there are not so many at the moment.
00:16:36:33 00:16:36:41		MOMENT1*		moment
00:16:36:41 00:16:36:49
00:16:36:49 00:16:37:04		$ALPHA1:B		mümmelmannsberg
00:16:37:04 00:16:37:10
00:16:37:10 00:16:37:26		NOT4
00:16:37:26 00:16:37:43
00:16:37:43 00:16:38:11		MORE1
00:16:38:11 00:16:38:17	Most Hartz IV recipients can be found in Billstedt where rents are very cheap.
00:16:38:17 00:16:38:28		$INDEX1		billstedt
00:16:38:28 00:16:38:48
00:16:38:48 00:16:39:09		MOST1A		[MG]
00:16:39:09 00:16:39:17
00:16:39:17 00:16:39:26		HARTZ1B		hartz vier
00:16:39:26 00:16:39:40
00:16:39:40 00:16:40:09		MONTH1^*
00:16:40:09 00:16:40:10
00:16:40:10 00:16:40:13			MUCH1C*	viel
00:16:40:13 00:16:40:16
00:16:40:16 00:16:40:37			$INDEX1*
00:16:40:37 00:16:40:48
00:16:40:48 00:16:41:03		RENT1*		miete
00:16:41:03 00:16:41:19
00:16:41:19 00:16:41:30		LITTLE-BIT9*
00:16:41:30 00:16:41:33
00:16:41:33 00:16:41:34	Altona only had a little bit.
00:16:41:34 00:16:42:29			AREA1A^*
00:16:42:29 00:16:42:43
00:16:42:43 00:16:43:15		ALTONA1		alton{a}
00:16:43:15 00:16:43:25
00:16:43:25 00:16:43:32			ALSO3A*	auch
00:16:43:32 00:16:44:03
00:16:44:03 00:16:44:13			LITTLE-BIT7B*
00:16:44:13 00:16:44:25
00:16:44:25 00:16:44:40			LITTLE-BIT9*	[MG]
00:16:44:40 00:16:45:07
00:16:45:07 00:16:45:33	Blankenese, I mean, Sülldorf didn’t have much either.		$INDEX-AREA1	blanken{ese}
00:16:45:33 00:16:46:16		BLANKENESE1
00:16:46:16 00:16:46:29
00:16:46:29 00:16:46:42		OR4B*		oder
00:16:46:42 00:16:47:01
00:16:47:01 00:16:47:36		$ALPHA1:S		süllsdorf
00:16:47:36 00:16:48:10
00:16:48:10 00:16:48:18		$GEST-NM-SHAKE-HEAD1^		auch
00:16:48:18 00:16:48:23
00:16:48:23 00:16:48:28			MUCH1A	viel
00:16:48:28 00:16:48:44
00:16:48:44 00:16:49:04	They don’t receive that much Hartz IV there.
00:16:49:04 00:16:49:08			HARTZ1B	hartz vier
00:16:49:08 00:16:49:22
00:16:49:22 00:16:49:30			MONTH1^*
00:16:49:30 00:16:49:34
00:16:49:34 00:16:50:11			DIALECT1^*
00:16:50:11 00:16:50:17
00:16:50:17 00:16:50:25		NOW1*		jetzt
00:16:50:25 00:16:50:32
00:16:50:32 00:16:50:46		MUCH1A		zu viel
00:16:50:46 00:16:51:02
00:16:51:02 00:16:51:09	But at the moment people are receiving more and more Hartz IV everywhere.	HAMBURG1*		hamburg
00:16:51:09 00:16:51:17
00:16:51:17 00:16:51:43		MORE3		mehr mehr mehr
00:16:51:43 00:16:52:01
00:16:52:01 00:16:52:21		EVERYWHERE1*		überall
00:16:52:21 00:16:52:33
00:16:52:33 00:16:52:39			HARTZ1B	hartz vier hartz vier hartz vier
00:16:52:39 00:16:52:47
00:16:52:47 00:16:54:04			MONTH1^*
00:16:54:04 00:16:54:08
00:16:54:08 00:16:54:11		$GEST-OFF1^
00:16:54:11 00:16:54:24
00:16:54:24 00:16:57:15
00:16:57:15 00:17:00:47									Asking which food Hamburg is most famous for.
00:17:00:47 00:17:01:12	It really is horrible!				Okay, well.
00:17:01:12 00:17:01:19						$GEST-ATTENTION1^*
00:17:01:19 00:17:01:36
00:17:01:36 00:17:01:43						$GEST-ATTENTION1^*
00:17:01:43 00:17:01:46		DISGUST4^*		[MG]
00:17:01:46 00:17:02:22
00:17:02:22 00:17:02:34			Okay, so, Labskaus!
00:17:02:34 00:17:02:47					$GEST-TO-PONDER1^*
00:17:02:47 00:17:03:19
00:17:03:19 00:17:03:25
00:17:03:25 00:17:04:14
00:17:04:14 00:17:04:36						$ALPHA1:L		labskau{s} labskau{s}
00:17:04:36 00:17:04:43
00:17:04:43 00:17:05:38						TO-STOMP1^*
00:17:05:38 00:17:05:49
00:17:05:49 00:17:06:15						$ALPHA1:L
00:17:06:15 00:17:06:24
00:17:06:24 00:17:06:28					Labskaus is this special dish made of rollmops and gherkin that’s really typical of Hamburg.
00:17:06:28 00:17:07:04						WITH1A		mit
00:17:07:04 00:17:07:15
00:17:07:15 00:17:07:24						FISH1		fischrolle rollmops
00:17:07:24 00:17:07:30
00:17:07:30 00:17:08:36						TO-ROLL1A
00:17:08:36 00:17:08:42
00:17:08:42 00:17:09:29						TO-ROLL1A
00:17:09:29 00:17:09:48
00:17:09:48 00:17:10:16						PICKLED-GHERKINS1B		gurke
00:17:10:16 00:17:10:24
00:17:10:24 00:17:10:37						WELL-KNOWN1A		bekannt
00:17:10:37 00:17:10:42
00:17:10:42 00:17:11:01						$INDEX1		hamburg
00:17:11:01 00:17:11:38
00:17:11:38 00:17:11:44					It’s that typical because it originated in maritime shipping.
00:17:11:44 00:17:12:12						TYPICAL1		typisch
00:17:12:12 00:17:12:20
00:17:12:20 00:17:12:35						$INDEX1
00:17:12:35 00:17:13:06
00:17:13:06 00:17:13:18						TO-LINK1A
00:17:13:18 00:17:13:25
00:17:13:25 00:17:13:33						WHERE-FROM1		woher
00:17:13:33 00:17:13:42
00:17:13:42 00:17:14:09						THROUGH2A		durch
00:17:14:09 00:17:14:28
00:17:14:28 00:17:14:45						SHIP1		schiff
00:17:14:45 00:17:15:03
00:17:15:03 00:17:15:12						$INDEX1
00:17:15:12 00:17:15:20
00:17:15:20 00:17:16:04					The Hamburg seamen ate mashed Labskaus.
00:17:16:04 00:17:17:09						$GEST^
00:17:17:09 00:17:17:20
00:17:17:20 00:17:17:29						HAMBURG1*		hamburg
00:17:17:29 00:17:18:31
00:17:18:31 00:17:18:40						SERVICE-OR-DUTY5^*		seemann
00:17:18:40 00:17:19:08
00:17:19:08 00:17:19:23						TO-EAT-OR-FOOD2		[MG]
00:17:19:23 00:17:19:28
00:17:19:28 00:17:19:32						WHAT1A		was
00:17:19:32 00:17:19:49
00:17:19:49 00:17:20:46						TO-GRIND1^
00:17:20:46 00:17:21:04
00:17:21:04 00:17:21:34						TO-STOMP1^*		labskau{s}
00:17:21:34 00:17:21:43
00:17:21:43 00:17:21:47					It was satisfying for quite some time.
00:17:21:47 00:17:22:33						SATED2*		satt
00:17:22:33 00:17:22:46
00:17:22:46 00:17:23:17						LONG-TEMPORAL4B*		lang
00:17:23:17 00:17:23:31
00:17:23:31 00:17:24:13						TO-HOLD1		halten
00:17:24:13 00:17:24:30
00:17:24:30 00:17:25:00						DIGESTION1		[MG]
00:17:25:00 00:17:25:06
00:17:25:06 00:17:25:10					That was good.
00:17:25:10 00:17:25:21						GOOD1		gut
00:17:25:21 00:17:25:38
00:17:25:38 00:17:25:47					I personally really like eating it.
00:17:25:47 00:17:26:02						I1		ich
00:17:26:02 00:17:26:08
00:17:26:08 00:17:26:17						SELF1A		selbst
00:17:26:17 00:17:26:26
00:17:26:26 00:17:26:39						GLADLY1		gern
00:17:26:39 00:17:26:46
00:17:26:46 00:17:27:02						TO-EAT-OR-FOOD2*		ess
00:17:27:02 00:17:27:06
00:17:27:06 00:17:27:09					My children really despise it, so I gave up serving it.
00:17:27:09 00:17:27:12						MY1		mein
00:17:27:12 00:17:27:16
00:17:27:16 00:17:27:21						CHILD2		kinder
00:17:27:21 00:17:27:25
00:17:27:25 00:17:27:42						DONT-LIKE1*
00:17:27:42 00:17:27:49
00:17:27:49 00:17:28:01						I2*
00:17:28:01 00:17:28:14
00:17:28:14 00:17:28:25						TO-FOREGO-STH1*		verzicht
00:17:28:25 00:17:28:31
00:17:28:31 00:17:28:33						I2
00:17:28:33 00:17:29:02
00:17:29:02 00:17:29:17	When your friends come visit you, of course they don’t know Hamburg.
00:17:29:17 00:17:29:25			$INDEX1
00:17:29:25 00:17:29:31
00:17:29:31 00:17:29:38		WHO2*		wer
00:17:29:38 00:17:30:12
00:17:30:12 00:17:30:44		TO-DRIVE3*
00:17:30:44 00:17:31:02
00:17:31:02 00:17:31:05		YOUR1		dein
00:17:31:05 00:17:31:14
00:17:31:14 00:17:31:24		FRIEND1A		freund
00:17:31:24 00:17:31:42
00:17:31:42 00:17:32:08		TO-DRIVE3*
00:17:32:08 00:17:32:25
00:17:32:25 00:17:33:04		DONT-KNOW-STH-OR-SB1		kennt nicht
00:17:33:04 00:17:33:30
00:17:33:30 00:17:33:49		HAMBURG1*		ham{burg}
00:17:33:49 00:17:34:13	I’d suggest that you go to a restaurant offering Hamburg’s specialties close to St. Michael’s church during the tour.
00:17:34:13 00:17:34:19			TO-RECOMMEND1A	empfehlen
00:17:34:19 00:17:34:32
00:17:34:32 00:17:34:44		TO-LEAD1A*
00:17:34:44 00:17:35:03
00:17:35:03 00:17:35:12			$INDEX1	führ{ung}
00:17:35:12 00:17:35:29
00:17:35:29 00:17:35:45		CHURCH2A		michaeliskirche
00:17:35:45 00:17:36:06
00:17:36:06 00:17:36:26		HOUSE1B^
00:17:36:26 00:17:36:44
00:17:36:44 00:17:37:16			$PROD
00:17:37:16 00:17:37:33
00:17:37:33 00:17:38:03		SPECIAL1		spezial
00:17:38:03 00:17:38:15
00:17:38:15 00:17:38:23		HAMBURG1		hamburg
00:17:38:23 00:17:38:48
00:17:38:48 00:17:39:13		RESTAURANT1		restaurant
00:17:39:13 00:17:39:16
00:17:39:16 00:17:39:34			$PROD
00:17:39:34 00:17:40:02	People who eat Labskaus there receive a certificate.
00:17:40:02 00:17:40:11		UNDER1A^*		wer
00:17:40:11 00:17:40:30
00:17:40:30 00:17:40:41			BEEN1	gewesen
00:17:40:41 00:17:41:03
00:17:41:03 00:17:41:15		$ALPHA1:L		labskaus
00:17:41:15 00:17:41:37
00:17:41:37 00:17:42:04			TO-EAT-OR-FOOD2*
00:17:42:04 00:17:42:17
00:17:42:17 00:17:42:27		TO-OBTAIN1*		bekommt
00:17:42:27 00:17:42:42
00:17:42:42 00:17:42:47		TO-ACKNOWLEDGE1*
00:17:42:47 00:17:43:08
00:17:43:08 00:17:43:33		DOCUMENT-OR-RECORD1		urkunde
00:17:43:33 00:17:43:49
00:17:43:49 00:17:44:12		$PROD
00:17:44:12 00:17:44:16
00:17:44:16 00:17:44:27	As an acknowledgment—that you’ve really been to Hamburg.
00:17:44:27 00:17:44:40		LEGAL1^		gewesen
00:17:44:40 00:17:45:03
00:17:45:03 00:17:45:21		TO-ACKNOWLEDGE1		[MG]
00:17:45:21 00:17:45:30
00:17:45:30 00:17:45:42		HAMBURG1*		hamburg
00:17:45:42 00:17:45:48
00:17:45:48 00:17:46:21		STAMP1^*
00:17:46:21 00:17:46:28
00:17:46:28 00:17:46:30					Interesting!
00:17:46:30 00:17:46:38		BEEN1*		gewesen
00:17:46:38 00:17:46:40
00:17:46:40 00:17:46:41						INTEREST1A		interessant
00:17:46:41 00:17:47:10		$PROD
00:17:47:10 00:17:47:19
00:17:47:19 00:17:47:24
00:17:47:24 00:17:47:37	I’m not joking, you really do get a certificate.
00:17:47:37 00:17:48:01		GENUINE1		echt
00:17:48:01 00:17:48:10
00:17:48:10 00:17:48:15		NOT2*		nicht
00:17:48:15 00:17:48:19
00:17:48:19 00:17:48:26		JOKE1		witz
00:17:48:26 00:17:48:39
00:17:48:39 00:17:49:08		TRUE2*		wahr
00:17:49:08 00:17:49:22
00:17:49:22 00:17:49:37		RIGHT-OR-AGREED1^*
00:17:49:37 00:17:50:02
00:17:50:02 00:17:50:32		$PROD		[MG]
00:17:50:32 00:17:50:37
00:17:50:37 00:17:50:44	The certificate attests that its holder has visited Hamburg and has eaten well.
00:17:50:44 00:17:51:05		BEEN1*		gewesen
00:17:51:05 00:17:51:45
00:17:51:45 00:17:52:04		HAMBURG1*		hamburg
00:17:52:04 00:17:52:15
00:17:52:15 00:17:52:34		PICTURE1^*
00:17:52:34 00:17:52:46
00:17:52:46 00:17:53:12		DOCUMENT-OR-RECORD1*		offi{ziell}
00:17:53:12 00:17:53:18
00:17:53:18 00:17:53:38		ORIGINAL2*		original
00:17:53:38 00:17:53:42
00:17:53:42 00:17:54:05		TO-EAT-OR-FOOD1*
00:17:54:05 00:17:54:11
00:17:54:11 00:17:54:17		BEEN1		gewesen
00:17:54:17 00:17:54:20
00:17:54:20 00:17:55:00		$PROD		urkunde
00:17:55:00 00:17:55:19
00:17:55:19 00:17:55:38	As you already said, Labskaus originated in maritime shipping.	$GEST-NM-NOD-HEAD1^
00:17:55:38 00:17:56:05
00:17:56:05 00:17:56:20			$ALPHA1:L	labskaus
00:17:56:20 00:17:56:37
00:17:56:37 00:17:57:00			PAST-OR-BACK-THEN1*	früher
00:17:57:00 00:17:57:08
00:17:57:08 00:17:57:14			WHAT1B*	was
00:17:57:14 00:17:57:48
00:17:57:48 00:17:58:02			$ALPHA1:L	lab{skaus}
00:17:58:02 00:17:58:16		YOU1*		du
00:17:58:16 00:17:58:36
00:17:58:36 00:17:58:41		SHIP1		schiff
00:17:58:41 00:17:58:45
00:17:58:45 00:17:58:48	But originally, it was a dish born out of necessity, the ingredients were all just mixed in one pot.
00:17:58:48 00:17:59:04			PAST-OR-BACK-THEN1*	früher
00:17:59:04 00:17:59:06
00:17:59:06 00:17:59:10			HOW-QUESTION3*	wie
00:17:59:10 00:17:59:14
00:17:59:14 00:17:59:20			DISTRESS1*	not
00:17:59:20 00:17:59:30
00:17:59:30 00:18:00:00		$PROD
00:18:00:00 00:18:00:10
00:18:00:10 00:18:00:22		POT5*		topf
00:18:00:22 00:18:00:31
00:18:00:31 00:18:00:43		$PROD		[MG]
00:18:00:43 00:18:01:01
00:18:01:01 00:18:02:00		$PROD		[MG]
00:18:02:00 00:18:02:06
00:18:02:06 00:18:02:14	I don’t like it, that’s rather something for toothless people.
00:18:02:14 00:18:02:25		WITNESS2^		echt
00:18:02:25 00:18:02:28
00:18:02:28 00:18:02:41		TO-LIKE4*		mag
00:18:02:41 00:18:02:48
00:18:02:48 00:18:03:05		NOT3A		nicht
00:18:03:05 00:18:03:13		$ALPHA1:L		labskaus
00:18:03:13 00:18:03:33
00:18:03:33 00:18:03:40		TO-MATCH1		passt
00:18:03:40 00:18:04:00
00:18:04:00 00:18:04:12			TOOTH1A*
00:18:04:12 00:18:04:24
00:18:04:24 00:18:04:40		EMPTY2*		[MG]
00:18:04:40 00:18:05:03
00:18:05:03 00:18:05:06					I just remembered something else Hamburg is famous for.
00:18:05:06 00:18:05:37						$GEST-ATTENTION1^*
00:18:05:37 00:18:05:41
00:18:05:41 00:18:05:49						ALSO1A*		auch
00:18:05:49 00:18:06:01
00:18:06:01 00:18:06:07						I1
00:18:06:07 00:18:06:14
00:18:06:14 00:18:06:35						TO-COME-INTO-MIND1		fällt mir ein
00:18:06:35 00:18:06:42
00:18:06:42 00:18:06:46						I1
00:18:06:46 00:18:07:04
00:18:07:04 00:18:07:13						HAMBURG1*		hamburg
00:18:07:13 00:18:07:33
00:18:07:33 00:18:07:48						WELL-KNOWN1A		bekannt
00:18:07:48 00:18:08:27
00:18:08:27 00:18:08:38					There’s this water carrier called the Hummel-man [Hummel: nickname of Hamburg’s most famous water carrier, nowadays depicted in many sculptures across town].
00:18:08:38 00:18:09:18						NAME1A		name
00:18:09:18 00:18:09:36
00:18:09:36 00:18:10:03						$ALPHA1:H		hummelmann
00:18:10:03 00:18:10:15
00:18:10:15 00:18:10:44						$PROD
00:18:10:44 00:18:11:12
00:18:11:12 00:18:11:17	The Hummel-man, right!
00:18:11:17 00:18:11:33						$PROD
00:18:11:33 00:18:12:01		$PROD		hummel hummel hummel
00:18:12:01 00:18:12:22
00:18:12:22 00:18:13:03			The Hummel-man.		$PROD		hummelmann
00:18:13:03 00:18:13:04
00:18:13:04 00:18:13:11					That’s typical of Hamburg.
00:18:13:11 00:18:13:19		$$EXTRA-LING-ACT^				HAMBURG1*		hamburg
00:18:13:19 00:18:13:23
00:18:13:23 00:18:13:37						$INDEX1*
00:18:13:37 00:18:13:38
00:18:13:38 00:18:13:46
00:18:13:46 00:18:13:49					But I had noticed that there were barely any pictures of him.
00:18:13:49 00:18:14:13						BUT1*		aber
00:18:14:13 00:18:14:22
00:18:14:22 00:18:14:30						I1
00:18:14:30 00:18:14:39
00:18:14:39 00:18:15:02						TO-STRIKE1A		auffallen
00:18:15:02 00:18:15:28
00:18:15:28 00:18:16:03						STRONG2A		stark
00:18:16:03 00:18:16:10
00:18:16:10 00:18:16:45						EDUCATION4		bildung
00:18:16:45 00:18:16:49
00:18:16:49 00:18:17:35						$GEST-NM-SHAKE-HEAD1^		[MG]
00:18:17:35 00:18:17:39					I just remember one thing.
00:18:17:39 00:18:17:44						ONLY2B		nur
00:18:17:44 00:18:18:00
00:18:18:00 00:18:18:03						I1
00:18:18:03 00:18:18:10
00:18:18:10 00:18:18:12						$NUM-ONE-TO-TEN1A:1d		ein
00:18:18:12 00:18:18:14
00:18:18:14 00:18:18:33						TO-COME-INTO-MIND1		[MG]
00:18:18:33 00:18:19:18
00:18:19:18 00:18:19:26					Some time ago, they put up lots of sculptures of the Hummel-man all over Hamburg.
00:18:19:26 00:18:19:37						$INDEX1
00:18:19:37 00:18:20:02
00:18:20:02 00:18:20:12						BEEN1		gewesen
00:18:20:12 00:18:20:19
00:18:20:19 00:18:20:30						PAST-OR-BACK-THEN1*
00:18:20:30 00:18:20:37
00:18:20:37 00:18:20:42						HAMBURG1*		hamburg
00:18:20:42 00:18:20:46
00:18:20:46 00:18:21:09						HERE1*
00:18:21:09 00:18:21:39
00:18:21:39 00:18:22:07						$ALPHA1:H		hummelmann
00:18:22:07 00:18:22:17
00:18:22:17 00:18:22:30						DISTINCT1		verschieden
00:18:22:30 00:18:22:39
00:18:22:39 00:18:23:39						$PROD		[MG]
00:18:23:39 00:18:24:00
00:18:24:00 00:18:24:12					They were created by different artists.
00:18:24:12 00:18:24:19						DIFFERENCE1B^
00:18:24:19 00:18:24:26	Artists, yes.
00:18:24:26 00:18:24:32
00:18:24:32 00:18:24:35						ART4A		kunst
00:18:24:35 00:18:25:09			ART3A	kunst kunst
00:18:25:09 00:18:25:13
00:18:25:13 00:18:25:24
00:18:25:24 00:18:25:41
00:18:25:41 00:18:26:10					One deaf person was also involved.
00:18:26:10 00:18:26:15						$NUM-ONE-TO-TEN1A:1d		ein
00:18:26:15 00:18:26:23
00:18:26:23 00:18:26:37						DEAF1A
00:18:26:37 00:18:26:41
00:18:26:41 00:18:26:46						$INDEX1
00:18:26:46 00:18:27:11
00:18:27:11 00:18:27:20						ACTIVE1^
00:18:27:20 00:18:27:28
00:18:27:28 00:18:27:35						ALSO1A		auch
00:18:27:35 00:18:27:47
00:18:27:47 00:18:28:16						IN-ADDITION1^*		stiftung
00:18:28:16 00:18:28:32
00:18:28:32 00:18:28:45
00:18:28:45 00:18:29:07	Just like the buddy bears in Berlin.
00:18:29:07 00:18:29:11			$INDEX1	wie
00:18:29:11 00:18:29:23
00:18:29:23 00:18:29:31		BERLIN1A*		berlin
00:18:29:31 00:18:30:14
00:18:30:14 00:18:30:34		$PROD		bären
00:18:30:34 00:18:30:44
00:18:30:44 00:18:31:08	Somewhere else they had sculptures of pigs.
00:18:31:08 00:18:31:17		DIFFERENT2		anders
00:18:31:17 00:18:31:27
00:18:31:27 00:18:31:32			TO-BELONG1^*
00:18:31:32 00:18:31:47
00:18:31:47 00:18:32:13			PIG2	schwein
00:18:32:13 00:18:32:19
00:18:32:19 00:18:32:29	Here [in Hamburg] this art brought in lots of donations.
00:18:32:29 00:18:32:36			HERE1	hier
00:18:32:36 00:18:32:46
00:18:32:46 00:18:32:49			ONLY2B	nur
00:18:32:49 00:18:33:05
00:18:33:05 00:18:33:17			ART3A	kunst
00:18:33:17 00:18:33:23
00:18:33:23 00:18:33:26		COHERENCE3*
00:18:33:26 00:18:33:34
00:18:33:34 00:18:33:42		MONEY1C		viel
00:18:33:42 00:18:33:45
00:18:33:45 00:18:33:49		ACTIVE1^
00:18:33:49 00:18:34:03
00:18:34:03 00:18:34:05		MONEY1C*		geld
00:18:34:05 00:18:34:10
00:18:34:10 00:18:34:32		TO-DONATE1*		spende
00:18:34:32 00:18:34:35
00:18:34:35 00:18:34:41	They took in the money and then you could have a sculpture.
00:18:34:41 00:18:35:25		REVENUE1*		spende [MG]
00:18:35:25 00:18:35:38			TO-GIVE-HOLD-ON-TO1A*	[MG]
00:18:35:38 00:18:35:49
00:18:35:49 00:18:36:26		TO-GIVE-HOLD-ON-TO-BOTTLE1^*
00:18:36:26 00:18:37:05
00:18:37:05 00:18:37:23	People from Hamburg and everybody else coming to visit is really amazed to see the Reeperbahn.
00:18:37:23 00:18:37:30			HAMBURG1*	hamburg
00:18:37:30 00:18:37:34
00:18:37:34 00:18:37:47			AREA1A^*
00:18:37:47 00:18:38:03
00:18:38:03 00:18:38:08		PARTICULARLY1A		besonders
00:18:38:08 00:18:38:19
00:18:38:19 00:18:38:41		ALL1A*		alle
00:18:38:41 00:18:39:03
00:18:39:03 00:18:39:13		ENTHUSIASTIC1*		begeistert
00:18:39:13 00:18:39:27
00:18:39:27 00:18:39:31		OPEN-MOUTHED2*
00:18:39:31 00:18:40:11
00:18:40:11 00:18:40:26		OPEN-MOUTHED2		[MG]
00:18:40:26 00:18:40:46
00:18:40:46 00:18:41:03			REEPERBAHN1*	reeperba{hn}
00:18:41:03 00:18:41:22
00:18:41:22 00:18:41:32			HERE1
00:18:41:32 00:18:41:47
00:18:41:47 00:18:42:01	Whenever I do my tours I make sure to also include the Reeperbahn.		$INDEX1
00:18:42:01 00:18:42:04
00:18:42:04 00:18:42:08			I2	ich
00:18:42:08 00:18:42:20
00:18:42:20 00:18:42:28		MASS-OF-PEOPLE-ACTIVE2*
00:18:42:28 00:18:42:31
00:18:42:31 00:18:43:04		ALWAYS4A		immer
00:18:43:04 00:18:43:15
00:18:43:15 00:18:43:29		INVOLVED1A*		dabei
00:18:43:29 00:18:43:39
00:18:43:39 00:18:43:46			REEPERBAHN1	reeperbahn
00:18:43:46 00:18:44:11
00:18:44:11 00:18:44:30			TO-LEAD1^
00:18:44:30 00:18:44:34
00:18:44:34 00:18:44:45	You can see the women standing behind the drawn curtains.				Yes!
00:18:44:45 00:18:45:06		$PROD
00:18:45:06 00:18:46:02						YES2
00:18:46:02 00:18:46:07
00:18:46:07 00:18:46:14					People also say about Hamburg that the fish here tastes incredibly good.
00:18:46:14 00:18:46:22
00:18:46:22 00:18:46:29
00:18:46:29 00:18:46:37						$NUM-ORDINAL1:2d		und zweite
00:18:46:37 00:18:46:41
00:18:46:41 00:18:46:46						$LIST1:2of2d
00:18:46:46 00:18:47:03
00:18:47:03 00:18:47:13						HAMBURG1*		hamburg
00:18:47:13 00:18:47:19
00:18:47:19 00:18:47:35						ALSO3A		auch
00:18:47:35 00:18:47:38
00:18:47:38 00:18:47:42						ALL2B		alle
00:18:47:42 00:18:47:47
00:18:47:47 00:18:48:01						TO-SAY1*		sag
00:18:48:01 00:18:48:06
00:18:48:06 00:18:48:36						TO-TASTE1A*		[MG]
00:18:48:36 00:18:48:44
00:18:48:44 00:18:49:06						FISH2*		fisch
00:18:49:06 00:18:49:16
00:18:49:16 00:18:49:35						GREAT1A
00:18:49:35 00:18:49:46
00:18:49:46 00:18:50:12						TO-TASTE1A*		[MG]
00:18:50:12 00:18:50:45
00:18:50:45 00:18:51:08					Everybody who comes here says that they like the fish in Hamburg because it’s really fresh.
00:18:51:08 00:18:51:31						TO-COME1*
00:18:51:31 00:18:51:34
00:18:51:34 00:18:51:38						TO-SAY1
00:18:51:38 00:18:51:42
00:18:51:42 00:18:52:00						TO-LIKE2		[MG]
00:18:52:00 00:18:52:03
00:18:52:03 00:18:52:18						HERE1*		hamburg
00:18:52:18 00:18:52:22
00:18:52:22 00:18:52:28						FISH2*		fisch
00:18:52:28 00:18:52:36
00:18:52:36 00:18:52:43						TO-TASTE3^
00:18:52:43 00:18:53:04
00:18:53:04 00:18:53:49						FRESH1		frisch
00:18:53:49 00:18:54:11
00:18:54:11 00:18:54:17					It just wouldn’t be the same in North Rhine-Westphalia, because during delivery it looses its taste.
00:18:54:17 00:18:54:33						AREA1B^		nord{rhein}-{west}fal{en}
00:18:54:33 00:18:54:38
00:18:54:38 00:18:54:43						FISH1*		fisch
00:18:54:43 00:18:55:01
00:18:55:01 00:18:55:05						TO-TASTE3^
00:18:55:05 00:18:55:10
00:18:55:10 00:18:55:20						RIGHT-OR-AGREED1^*		schmeckt nicht
00:18:55:20 00:18:55:26
00:18:55:26 00:18:55:32						LIKE1A*		wie
00:18:55:32 00:18:56:03
00:18:56:03 00:18:56:17						AFTER-TEMPORAL1		nachlieferung
00:18:56:17 00:18:56:27
00:18:56:27 00:18:57:08						TO-DELIVER1B*
00:18:57:08 00:18:57:13
00:18:57:13 00:18:57:24						TASTE1		geschmack
00:18:57:24 00:18:57:31
00:18:57:31 00:18:58:23						TO-REDUCE3*		reduziert
00:18:58:23 00:18:58:39
00:18:58:39 00:18:58:46					I thought that was funny.
00:18:58:46 00:18:59:22						TO-SNORT1*
00:18:59:22 00:18:59:24	I for my part don’t really like fish.
00:18:59:24 00:18:59:44
00:18:59:44 00:18:59:45		I1		ich
00:18:59:45 00:18:59:47
00:18:59:47 00:19:00:03
00:19:00:03 00:19:00:14		SELF1A		selber
00:19:00:14 00:19:00:21
00:19:00:21 00:19:00:32		DONT-LIKE1*		[MG]
00:19:00:32 00:19:00:38
00:19:00:38 00:19:00:41		FISH1*		fisch
00:19:00:41 00:19:00:44
00:19:00:44 00:19:01:00	That’s why I can’t say anything about that.				You can’t say anything about it, but I can.
00:19:01:00 00:19:01:10		CAN1*		kann
00:19:01:10 00:19:01:13
00:19:01:13 00:19:01:17		I1				$GEST-AGREEMENT1^*
00:19:01:17 00:19:01:26
00:19:01:26 00:19:01:34		TRADE-OR-NEGOTIATION3^
00:19:01:34 00:19:01:41						CAN1*		kann nicht
00:19:01:41 00:19:01:45
00:19:01:45 00:19:02:02						TO-SAY1
00:19:02:02 00:19:02:05
00:19:02:05 00:19:02:08
00:19:02:08 00:19:02:09	I would suggest not talking about that topic with me.
00:19:02:09 00:19:02:18		ON-PERSON1*		[MG]
00:19:02:18 00:19:02:19
00:19:02:19 00:19:02:26						I1		ich
00:19:02:26 00:19:02:27
00:19:02:27 00:19:02:29		TO-RECOMMEND1A		empfehl
00:19:02:29 00:19:02:36			CAN1				kann
00:19:02:36 00:19:02:40
00:19:02:40 00:19:02:46		NOT3B*		nicht
00:19:02:46 00:19:03:04
00:19:03:04 00:19:03:08		TRADE-OR-NEGOTIATION3^
00:19:03:08 00:19:03:17
00:19:03:17 00:19:03:20
00:19:03:20 00:19:03:29		ON-PERSON1*
00:19:03:29 00:19:03:36
00:19:03:36 00:19:03:38					It’s really fresh, because it comes right from the harbour.
00:19:03:38 00:19:03:47		TO-RECOMMEND1A		empfehle
00:19:03:47 00:19:04:06
00:19:04:06 00:19:04:12		NOT3A		nicht		$GEST^*		[MG]
00:19:04:12 00:19:04:15
00:19:04:15 00:19:04:26		$GEST-DECLINE1^
00:19:04:26 00:19:04:36
00:19:04:36 00:19:04:41		$$EXTRA-LING-ACT^
00:19:04:41 00:19:05:01
00:19:05:01 00:19:05:09
00:19:05:09 00:19:05:18						FRESH1		frisch
00:19:05:18 00:19:05:26
00:19:05:26 00:19:05:33						$ORAL^		warum
00:19:05:33 00:19:05:36
00:19:05:36 00:19:05:49						CLOSE-BY1B
00:19:05:49 00:19:06:07
00:19:06:07 00:19:06:11						HARBOUR2		hafen
00:19:06:11 00:19:06:19
00:19:06:19 00:19:06:32						TO-DELIVER1A*
00:19:06:32 00:19:06:35
00:19:06:35 00:19:06:39					There are no long delivery times involved, it’s just really fresh fish.
00:19:06:39 00:19:06:47						SHORTLY-IMMEDIATELY1*		gleich
00:19:06:47 00:19:06:48
00:19:06:48 00:19:07:05						TO-DELIVER1A*
00:19:07:05 00:19:07:14
00:19:07:14 00:19:07:20						TO-TASTE3		[MG]
00:19:07:20 00:19:07:28
00:19:07:28 00:19:07:43						FRESH1*		frisch
00:19:07:43 00:19:08:14
00:19:08:14 00:19:08:25						FISH1*		fisch
00:19:08:25 00:19:08:27
00:19:08:27 00:19:08:29					I like fish a lot.
00:19:08:29 00:19:08:47						TO-LIKE3*		[MG]
00:19:08:47 00:19:09:03
00:19:09:03 00:19:09:08						I1
00:19:09:08 00:19:09:11
00:19:09:11 00:19:09:23						FISH1*		fisch
00:19:09:23 00:19:09:27
00:19:09:27 00:19:09:44						I1*
00:19:09:44 00:19:10:01
00:19:10:01 00:19:10:02					When people come to visit Hamburg, it’s recommend to eat a fish bun.
00:19:10:02 00:19:10:19						$GEST-OFF1^
00:19:10:19 00:19:10:31
00:19:10:31 00:19:10:44						TO-TASTE3
00:19:10:44 00:19:11:02
00:19:11:02 00:19:11:16						TO-TASTE1A		[MG]
00:19:11:16 00:19:11:23
00:19:11:23 00:19:11:29						HAMBURG1*		hamburg
00:19:11:29 00:19:11:34
00:19:11:34 00:19:11:37						$INDEX1
00:19:11:37 00:19:11:41
00:19:11:41 00:19:11:47						MOST1B*		meist
00:19:11:47 00:19:12:07
00:19:12:07 00:19:12:19						TO-PLACE1		hamburg
00:19:12:19 00:19:12:29
00:19:12:29 00:19:12:39						TO-RECOMMEND1A		empfohlen
00:19:12:39 00:19:13:00
00:19:13:00 00:19:13:08						FISH1*		fischbrötchen
00:19:13:08 00:19:13:13
00:19:13:13 00:19:13:29						BREAD-ROLL1
00:19:13:29 00:19:13:45
00:19:13:45 00:19:14:11						TO-EAT-OR-FOOD1
00:19:14:11 00:19:14:13
00:19:14:13 00:19:14:28					They are the freshest.	WHY2A*		warum
00:19:14:28 00:19:14:47						FRESH1		frisch
00:19:14:47 00:19:15:30
00:19:15:30 00:19:16:11					Of course you can also get that in Schleswig-Holstein, at the coasts of the North Sea and the Baltic Sea.
00:19:16:11 00:19:16:17						ALSO3A		auch
00:19:16:17 00:19:16:23
00:19:16:23 00:19:16:33						SCHLESWIG1*		schleswig
00:19:16:33 00:19:17:00
00:19:17:00 00:19:17:06						$INDEX1
00:19:17:06 00:19:17:19
00:19:17:19 00:19:17:38						COHERENCE1B*
00:19:17:38 00:19:18:09
00:19:18:09 00:19:18:15						DIRECTION3^		ostsee
00:19:18:15 00:19:18:33
00:19:18:33 00:19:18:43						NORTH1B^		nordsee
00:19:18:43 00:19:19:04
00:19:19:04 00:19:19:08					But you find the same in Hamburg.	BUT1*		aber
00:19:19:08 00:19:19:12
00:19:19:12 00:19:19:26						$INDEX1*		hamburg
00:19:19:26 00:19:19:32
00:19:19:32 00:19:19:41						ALSO1A		auch
00:19:19:41 00:19:19:45
00:19:19:45 00:19:19:48						TO-TASTE3^
00:19:19:48 00:19:20:15

Show this Transcript in

MY DGS

MY DGS – ANNIS

MY DGS – iLex

Download Options

iLex	ELAN	Video A	Video B	Video Total	SRT	Video AB	CMDI	Pose

Report Mistakes