1180339… (hb01): Heimatregion

Themen Essen und Trinken; Gesellschaft: Traditionen; Kino, Theater, Museum, Kunst: Museum; Stadt und Land: Bremen; Stadt und Land: Osnabrück

Time	Translation	Lexem/Gebärde		Mouth	Translation	Lexeme/Sign		Mouth	Moderator
		right hand	left hand			right hand	left hand
00:00:00:00 00:00:01:23
00:00:01:23 00:00:01:28	I am from Bremen.
00:00:01:28 00:00:01:43		MY1*
00:00:01:43 00:00:02:00
00:00:02:00 00:00:02:19		HOMELAND2		heimat
00:00:02:19 00:00:02:31
00:00:02:31 00:00:02:33		$GEST^
00:00:02:33 00:00:03:00
00:00:03:00 00:00:03:15		BREMEN1		bremen
00:00:03:15 00:00:03:24
00:00:03:24 00:00:03:34		$GEST-OFF1^
00:00:03:34 00:00:03:46
00:00:03:46 00:00:03:48	I have lived there my entire life.
00:00:03:48 00:00:04:02		I1*
00:00:04:02 00:00:04:23
00:00:04:23 00:00:04:36		AS-ALWAYS1*
00:00:04:36 00:00:05:14
00:00:05:14 00:00:05:28		BEGINNING1A*		anfang
00:00:05:28 00:00:05:45
00:00:05:45 00:00:06:00		BIRTH1A
00:00:06:00 00:00:06:11
00:00:06:11 00:00:06:18		UNTIL-TODAY2		bis
00:00:06:18 00:00:06:24
00:00:06:24 00:00:06:31		TODAY3*		heute
00:00:06:31 00:00:06:40
00:00:06:40 00:00:07:06		AS-ALWAYS1		[MG]
00:00:07:06 00:00:07:17
00:00:07:17 00:00:07:31		BREMEN1		bremen
00:00:07:31 00:00:07:38
00:00:07:38 00:00:08:23		AS-ALWAYS1		[MG]
00:00:08:23 00:00:08:29
00:00:08:29 00:00:08:39	Bremen does not have a lot of countryside, but it still is a beautiful city.
00:00:08:39 00:00:09:04		BREMEN1		bremen
00:00:09:04 00:00:09:07
00:00:09:07 00:00:09:13		$GEST^		[MG]
00:00:09:13 00:00:09:24
00:00:09:24 00:00:09:33		BREMEN1		bremen
00:00:09:33 00:00:09:45
00:00:09:45 00:00:10:02		NOW3		jetzt
00:00:10:02 00:00:10:07
00:00:10:07 00:00:10:10		I1
00:00:10:10 00:00:10:17
00:00:10:17 00:00:10:24		TO-KNOW-STH2B		weiß
00:00:10:24 00:00:10:31
00:00:10:31 00:00:10:47		BREMEN1		bremen
00:00:10:47 00:00:11:01
00:00:11:01 00:00:11:07		$GEST^
00:00:11:07 00:00:11:27
00:00:11:27 00:00:11:39		NATURE3A*		natur
00:00:11:39 00:00:11:48
00:00:11:48 00:00:12:18		NOT1		[MG]
00:00:12:18 00:00:12:25
00:00:12:25 00:00:13:03		BUT1*		ab{er}
00:00:13:03 00:00:13:23
00:00:13:23 00:00:13:30		BEAUTIFUL1A		schön
00:00:13:30 00:00:13:38
00:00:13:38 00:00:14:28		CITY2		stadt
00:00:14:28 00:00:14:32
00:00:14:32 00:00:14:40	Being close to the North Sea is one advantage.
00:00:14:40 00:00:14:47		ADVANTAGE1		[MG]
00:00:14:47 00:00:15:07
00:00:15:07 00:00:15:23		$GEST^
00:00:15:23 00:00:15:29
00:00:15:29 00:00:16:10		CLOSE-BY1B*		[MG]
00:00:16:10 00:00:16:16
00:00:16:16 00:00:16:32		WHAT1A
00:00:16:32 00:00:16:40
00:00:16:40 00:00:17:00		NORTH1A		nordsee
00:00:17:00 00:00:17:10
00:00:17:10 00:00:17:30		LAKE1B*
00:00:17:30 00:00:17:41
00:00:17:41 00:00:18:33		$GEST^
00:00:18:33 00:00:19:00	The landscape is not strikingly beautiful.	$GEST^
00:00:19:00 00:00:19:10
00:00:19:10 00:00:19:26		HERE1*		[MG]
00:00:19:26 00:00:19:34
00:00:19:34 00:00:19:40		$GEST^
00:00:19:40 00:00:19:48
00:00:19:48 00:00:20:23		HERE1*		hier
00:00:20:23 00:00:20:31
00:00:20:31 00:00:20:37		HERE1*		[MG]
00:00:20:37 00:00:20:44
00:00:20:44 00:00:21:02		$GEST^
00:00:21:02 00:00:21:06
00:00:21:06 00:00:21:13		TO-STRIKE1A^		schön
00:00:21:13 00:00:21:20
00:00:21:20 00:00:21:27		LANDSCAPE1*		landschaft
00:00:21:27 00:00:21:38
00:00:21:38 00:00:21:47		ONLY2B*		nu{r}
00:00:21:47 00:00:22:05
00:00:22:05 00:00:22:09	There are plenty of trees. You can go for a walk, or you can go hiking, as well.
00:00:22:09 00:00:22:18		PRIMARILY1		[MG]
00:00:22:18 00:00:22:32
00:00:22:32 00:00:22:48		TREE2B*		baum
00:00:22:48 00:00:23:07
00:00:23:07 00:00:23:09		$GEST^
00:00:23:09 00:00:23:38
00:00:23:38 00:00:24:09		TO-GO-FOR-A-WALK2B*		spazieren
00:00:24:09 00:00:24:16
00:00:24:16 00:00:24:25		PRESENT-OR-HERE1*		da
00:00:24:25 00:00:24:36
00:00:24:36 00:00:25:10		TO-HIKE3		wandern
00:00:25:10 00:00:25:16
00:00:25:16 00:00:25:28		$GEST^
00:00:25:28 00:00:25:49
00:00:25:49 00:00:26:04	But it is just flat.
00:00:26:04 00:00:26:10		ONLY2A*		nur
00:00:26:10 00:00:26:13
00:00:26:13 00:00:26:19					And skating.
00:00:26:19 00:00:26:32		PLANE3B*		flach
00:00:26:32 00:00:26:40			ROLLERBLADES1A*			inliner
00:00:26:40 00:00:27:08
00:00:27:08 00:00:27:16	It really is!
00:00:27:16 00:00:27:26		ONLY2A						nur
00:00:27:26 00:00:27:34
00:00:27:34 00:00:27:39		PLANE3B*						flach
00:00:27:39 00:00:28:01
00:00:28:01 00:00:28:08						$GEST-PLEASE1^		inliner
00:00:28:08 00:00:28:23
00:00:28:23 00:00:28:30	Skating? Sure.
00:00:28:30 00:00:29:01		ROLLERBLADES1A		inline
00:00:29:01 00:00:29:18
00:00:29:18 00:00:29:23	But everything is just flat.
00:00:29:23 00:00:29:28		PRIMARILY1		[MG]
00:00:29:28 00:00:29:35
00:00:29:35 00:00:29:41		ONLY2A		nur
00:00:29:41 00:00:29:47
00:00:29:47 00:00:31:01		PLANE3B*		flach flach flach
00:00:31:01 00:00:31:05
00:00:31:05 00:00:31:12		$GEST^
00:00:31:12 00:00:31:34
00:00:31:34 00:00:31:46
00:00:31:46 00:00:32:03	Though the good thing about it is that you don't have to bike uphill; that would be utterly exhausting.
00:00:32:03 00:00:32:10		ONLY2A		nur
00:00:32:10 00:00:32:13
00:00:32:13 00:00:32:24		BICYCLE1		fahrrad
00:00:32:24 00:00:32:31
00:00:32:31 00:00:32:37		TO-FIND-STH-GREAT2*		[MG]
00:00:32:37 00:00:32:41
00:00:32:41 00:00:33:09		$PROD
00:00:33:09 00:00:33:25
00:00:33:25 00:00:33:31		I1
00:00:33:31 00:00:34:20
00:00:34:20 00:00:34:49		BICYCLE1		[MG]
00:00:34:49 00:00:35:12
00:00:35:12 00:00:35:31		TO-NEED1*		brauch nicht
00:00:35:31 00:00:36:31
00:00:36:31 00:00:37:04
00:00:37:04 00:00:37:17	There is a lot of rural landscape near Bremen.
00:00:37:17 00:00:37:21		MEASURE-VERTICAL2A^*
00:00:37:21 00:00:37:30
00:00:37:30 00:00:37:41		INTEREST1A		[MG]
00:00:37:41 00:00:38:04
00:00:38:04 00:00:38:08		BREMEN1*		bremen
00:00:38:08 00:00:38:13
00:00:38:13 00:00:38:16		TO-OWN1		[MG]
00:00:38:16 00:00:38:24
00:00:38:24 00:00:38:44		CLOSE-BY1B*		nah
00:00:38:44 00:00:39:06
00:00:39:06 00:00:39:22		FARMER1*		bauer
00:00:39:22 00:00:39:30
00:00:39:30 00:00:39:40		COUNTRY3B*		land
00:00:39:40 00:00:39:44
00:00:39:44 00:00:40:12	It is beautiful.
00:00:40:12 00:00:40:23		BEAUTIFUL1A		schön
00:00:40:23 00:00:40:29
00:00:40:29 00:00:40:34	The area around Oldenburg, for instance.
00:00:40:34 00:00:41:02		EXAMPLE1*		beispiel
00:00:41:02 00:00:41:08
00:00:41:08 00:00:41:32		OLDENBURG1B		oldenburg
00:00:41:32 00:00:41:45
00:00:41:45 00:00:42:09		COUNTRY3A*		landschaft
00:00:42:09 00:00:42:13
00:00:42:13 00:00:43:21		OLDENBURG1B*	$PROD
00:00:43:21 00:00:43:23
00:00:43:23 00:00:44:20			$PROD	oldenburg
00:00:44:20 00:00:44:27	Delmenhorst not so much.
00:00:44:27 00:00:44:33		AND5*		und
00:00:44:33 00:00:44:42
00:00:44:42 00:00:45:08		$ALPHA1:D	$PROD	delmenh{orst}
00:00:45:08 00:00:45:11
00:00:45:11 00:00:45:31		NO1B		[MG]
00:00:45:31 00:00:46:23		$PROD
00:00:46:23 00:00:46:39		$PROD
00:00:46:39 00:00:46:49	However, the landscape in the direction of Rotenburg is very beautiful, as well.
00:00:46:49 00:00:47:04		RED1A*		rot{enburg}
00:00:47:04 00:00:47:08
00:00:47:08 00:00:48:32		$PROD	BEAUTIFUL3*
00:00:48:32 00:00:48:36
00:00:48:36 00:00:48:40	Up north, close to Osterholz-Scharmbeck, the landscape looks fairly different.
00:00:48:40 00:00:48:46		ALSO1A*		au{ch}
00:00:48:46 00:00:49:01
00:00:49:01 00:00:49:07		$PROD
00:00:49:07 00:00:49:16
00:00:49:16 00:00:49:21		WOOD11*		osterholz-scharmbeck
00:00:49:21 00:00:49:27
00:00:49:27 00:00:49:44		$ALPHA1:SCH*
00:00:49:44 00:00:49:48
00:00:49:48 00:00:50:37		$PROD
00:00:50:37 00:00:50:42
00:00:50:42 00:00:51:17		$PROD
00:00:51:17 00:00:51:35
00:00:51:35 00:00:51:47		DIFFERENT1		ander{s}
00:00:51:47 00:00:52:04
00:00:52:04 00:00:52:11		COUNTRY3A*		landsch{aft}
00:00:52:11 00:00:52:16
00:00:52:16 00:00:52:38		$PROD
00:00:52:38 00:00:52:49
00:00:52:49 00:00:53:21		DIFFERENCE1B*		unterschiede
00:00:53:21 00:00:53:22
00:00:53:22 00:00:53:24	In fact, there are four different rural regions.
00:00:53:24 00:00:53:37			$NUM-ONE-TO-TEN1A:4	vier
00:00:53:37 00:00:53:42
00:00:53:42 00:00:54:17		DISTINCT1*		verschieden
00:00:54:17 00:00:54:32
00:00:54:32 00:00:54:40		FARMER1*		bauern
00:00:54:40 00:00:54:48
00:00:54:48 00:00:55:07		COUNTRY3B*		land
00:00:55:07 00:00:55:12
00:00:55:12 00:00:55:25		DIFFERENCE1B*		{unter}schied
00:00:55:25 00:00:55:36
00:00:55:36 00:00:55:47		LOCATION1A^*
00:00:55:47 00:00:56:00
00:00:56:00 00:00:56:03	Have you ever noticed that too?
00:00:56:03 00:00:56:05		$INDEX1*
00:00:56:05 00:00:56:06
00:00:56:06 00:00:56:12		BEEN1*		gewesen
00:00:56:12 00:00:56:16
00:00:56:16 00:00:56:32		TO-MEMORISE1	PROMPT1*
00:00:56:32 00:00:56:35
00:00:56:35 00:00:56:41	Osterholz-Scharmbeck/
00:00:56:41 00:00:57:11		$INDEX1
00:00:57:11 00:00:57:22
00:00:57:22 00:00:57:27		WOOD11*		osterholz-scharmbeck
00:00:57:27 00:00:57:28
00:00:57:28 00:00:58:05		$PROD			Fischerhude is entirely different, as well.
00:00:58:05 00:00:58:15			FISH2			fischerhude
00:00:58:15 00:00:58:22
00:00:58:22 00:00:58:23			AREA1A*
00:00:58:23 00:00:59:06							$ALPHA1:H-D-E
00:00:59:06 00:00:59:09
00:00:59:09 00:00:59:13
00:00:59:13 00:00:59:25	That's located east of Osterholz-Scharmbeck.	$GEST-AGREEMENT1^*				$INDEX1
00:00:59:25 00:00:59:35
00:00:59:35 00:00:59:42						ALSO1A		auch
00:00:59:42 00:01:00:01
00:01:00:01 00:01:00:07		$PROD
00:01:00:07 00:01:00:22						DIFFERENT1*		anders
00:01:00:22 00:01:00:47
00:01:00:47 00:01:01:01						YES1A*		[MG]
00:01:01:01 00:01:01:08
00:01:01:08 00:01:01:12		WOOD11*		osterholz-scharmbeck
00:01:01:12 00:01:01:14
00:01:01:14 00:01:01:17
00:01:01:17 00:01:01:43		$PROD
00:01:01:43 00:01:01:47
00:01:01:47 00:01:02:10		$INDEX1
00:01:02:10 00:01:02:13	Brake is part of the district “Wesermarsch” and located west of Bremen.
00:01:02:13 00:01:02:45			$PROD
00:01:02:45 00:01:03:10
00:01:03:10 00:01:03:41		$ALPHA1:B-R-A-K-E*		brake
00:01:03:41 00:01:04:04
00:01:04:04 00:01:04:11		EAST1A*		ost
00:01:04:11 00:01:04:24
00:01:04:24 00:01:04:36		WHERE1A*		wo
00:01:04:36 00:01:05:05
00:01:05:05 00:01:05:21		$INIT-CIRCLE1^*		weserland
00:01:05:21 00:01:06:03		$PROD
00:01:06:03 00:01:06:14	It is not part of East Frisia, but of the Wesermarsch near Nordenham.
00:01:06:14 00:01:06:18		EAST1A		ost
00:01:06:18 00:01:06:32		$INIT-CIRCLE1^*		weserland
00:01:06:32 00:01:06:37
00:01:06:37 00:01:06:46		$INDEX1		weserland
00:01:06:46 00:01:07:06
00:01:07:06 00:01:07:16		$INIT-CIRCLE1^*
00:01:07:16 00:01:07:27
00:01:07:27 00:01:07:44		$PROD
00:01:07:44 00:01:08:05
00:01:08:05 00:01:08:14		NORTH1B		nordenham
00:01:08:14 00:01:08:22
00:01:08:22 00:01:09:01		$ALPHA1:H-A-M
00:01:09:01 00:01:09:22		$PROD
00:01:09:22 00:01:09:23
00:01:09:23 00:01:09:41	In the South near Delmenhorst, in Syke and Weyhe, the region looks a little off.	$PROD
00:01:09:41 00:01:09:48
00:01:09:48 00:01:10:09		$ALPHA1:D		del{menhorst}
00:01:10:09 00:01:10:31
00:01:10:31 00:01:10:44		SYKE1		syke
00:01:10:44 00:01:10:49
00:01:10:49 00:01:11:03		$ALPHA1:W-E		wey{he}
00:01:11:03 00:01:11:07
00:01:11:07 00:01:11:12		BIT2A		bissch{en}
00:01:11:12 00:01:11:21
00:01:11:21 00:01:12:01		WEIRD-STRANGE3*		[MG]
00:01:12:01 00:01:12:09
00:01:12:09 00:01:12:16	A nature park is located in the South-West, near Wildeshausen.
00:01:12:16 00:01:12:34		CLOSE-BY1B*		[MG]
00:01:12:34 00:01:12:45
00:01:12:45 00:01:13:13		GAME-ANIMALS6^		wildeshausen
00:01:13:13 00:01:13:18
00:01:13:18 00:01:13:36		$MORPH-HAUSEN1*
00:01:13:36 00:01:13:48
00:01:13:48 00:01:14:08		NATURE6A*		natur
00:01:14:08 00:01:14:18
00:01:14:18 00:01:14:30		PLANE1^		park
00:01:14:30 00:01:14:35
00:01:14:35 00:01:14:41		$GEST^
00:01:14:41 00:01:15:01
00:01:15:01 00:01:16:32		AREA1A*
00:01:16:32 00:01:16:36	Very different landscapes.
00:01:16:36 00:01:17:19		$PROD
00:01:17:19 00:01:17:26
00:01:17:26 00:01:17:47		$INDEX1*
00:01:17:47 00:01:18:03
00:01:18:03 00:01:18:20		DIFFERENCE1B		[MG]
00:01:18:20 00:01:18:29
00:01:18:29 00:01:18:36		COUNTRY3A*
00:01:18:36 00:01:18:40
00:01:18:40 00:01:19:03	The Weser Uplands have the least trees - that's something I have noticed.
00:01:19:03 00:01:19:13		TREE2A*		baum
00:01:19:13 00:01:19:22
00:01:19:22 00:01:19:31		$INDEX1*
00:01:19:31 00:01:20:03
00:01:20:03 00:01:20:22		NOTHING1A		[MG]
00:01:20:22 00:01:20:39
00:01:20:39 00:01:21:00		LITTLE-BIT9*		wenig
00:01:21:00 00:01:21:04
00:01:21:04 00:01:21:13		TREE2B*
00:01:21:13 00:01:21:15
00:01:21:15 00:01:21:26		TO-STRIKE1A		auffallen
00:01:21:26 00:01:22:00
00:01:22:00 00:01:22:18		$INIT-CIRCLE1^*		weserland
00:01:22:18 00:01:22:33			AREA1A*
00:01:22:33 00:01:22:35
00:01:22:35 00:01:22:43	There are very few trees.
00:01:22:43 00:01:23:08		PRIMARILY1		[MG]
00:01:23:08 00:01:23:18
00:01:23:18 00:01:23:29		LITTLE-BIT9*		[MG]
00:01:23:29 00:01:23:41
00:01:23:41 00:01:24:19		TREE2A*		baum
00:01:24:19 00:01:24:34
00:01:24:34 00:01:25:11		LITTLE-BIT9		[MG]
00:01:25:11 00:01:25:15
00:01:25:15 00:01:25:45		AREA1A*
00:01:25:45 00:01:26:10
00:01:26:10 00:01:26:21		BORDER1B^*
00:01:26:21 00:01:26:38	There are some great museums located in Bremen.
00:01:26:38 00:01:26:45		BREMEN1*		bremen
00:01:26:45 00:01:26:48
00:01:26:48 00:01:27:10		PRESENT-OR-HERE1		[MG]
00:01:27:10 00:01:27:24
00:01:27:24 00:01:27:33		BEAUTIFUL1B		schön
00:01:27:33 00:01:27:37
00:01:27:37 00:01:27:46		$GEST^
00:01:27:46 00:01:28:04
00:01:28:04 00:01:28:28		MUSEUM1		museum
00:01:28:28 00:01:28:34
00:01:28:34 00:01:29:13		$GEST-OFF1^
00:01:29:13 00:01:29:27	Like any other city, Bremen holds various exhibitions on the historic city center, or on local history, such as the “Roland” [a statue in the market square of Bremen].
00:01:29:27 00:01:29:37		EVERYONE1B*		jede
00:01:29:37 00:01:29:48
00:01:29:48 00:01:30:02		CITY2		stadt
00:01:30:02 00:01:30:12
00:01:30:12 00:01:30:24		MUSEUM1*		museum
00:01:30:24 00:01:30:34
00:01:30:34 00:01:30:47		OLD5B		altstadt
00:01:30:47 00:01:31:11
00:01:31:11 00:01:31:33		CITY2
00:01:31:33 00:01:31:45
00:01:31:45 00:01:32:23		ROLAND-MONUMENT1		roland
00:01:32:23 00:01:32:32
00:01:32:32 00:01:33:21		HISTORY-OR-STORY3		geschichte
00:01:33:21 00:01:33:36
00:01:33:36 00:01:34:14		$GEST^
00:01:34:14 00:01:34:30
00:01:34:30 00:01:34:46		$GEST-OFF1^
00:01:34:46 00:01:35:13
00:01:35:13 00:01:35:18	Bremerhaven isn't too far away either. Possibly at a distance of 40 or 50 kilometers.
00:01:35:18 00:01:35:27		PARTICULARLY1A
00:01:35:27 00:01:35:39
00:01:35:39 00:01:35:49		BREMEN1*		bremerhaven
00:01:35:49 00:01:36:15
00:01:36:15 00:01:36:29		HARBOUR2
00:01:36:29 00:01:36:34
00:01:36:34 00:01:36:35		$GEST^
00:01:36:35 00:01:36:44
00:01:36:44 00:01:37:04		BREMEN1*		bremen
00:01:37:04 00:01:37:11
00:01:37:11 00:01:37:36		CLOSE-BY1B*		[MG]
00:01:37:36 00:01:37:42
00:01:37:42 00:01:37:49		APPROXIMATELY1*
00:01:37:49 00:01:38:03
00:01:38:03 00:01:38:12		$NUM-TENS2A:4		vierzig
00:01:38:12 00:01:38:17
00:01:38:17 00:01:38:24		$NUM-TENS2A:5		fünfzig
00:01:38:24 00:01:38:35
00:01:38:35 00:01:38:40		KILOMETRE1*		kilometer
00:01:38:40 00:01:39:00
00:01:39:00 00:01:39:13		UNTIL-OR-TO1^*
00:01:39:13 00:01:39:19
00:01:39:19 00:01:39:27		BREMEN1*		bremerhaven
00:01:39:27 00:01:39:36
00:01:39:36 00:01:39:45		HARBOUR2*
00:01:39:45 00:01:39:47
00:01:39:47 00:01:40:09	There they have a large harbor, a zoo, and the German Maritime Museum.
00:01:40:09 00:01:40:24		PRESENT-OR-HERE1		da
00:01:40:24 00:01:40:27
00:01:40:27 00:01:40:41		BIG3B
00:01:40:41 00:01:41:06
00:01:41:06 00:01:41:24		HARBOUR1*		hafen
00:01:41:24 00:01:41:36
00:01:41:36 00:01:42:07		$GEST^
00:01:42:07 00:01:42:26
00:01:42:26 00:01:42:40		MUSEUM1
00:01:42:40 00:01:42:43
00:01:42:43 00:01:43:30		$ALPHA1:Z-OO		zoo
00:01:43:30 00:01:43:45
00:01:43:45 00:01:44:08		PRESENT-OR-HERE1*		da
00:01:44:08 00:01:44:21
00:01:44:21 00:01:44:31		WHAT1A
00:01:44:31 00:01:44:44
00:01:44:44 00:01:45:03		SHIP1		schiff
00:01:45:03 00:01:45:09
00:01:45:09 00:01:45:22		GERMAN1		deutsch
00:01:45:22 00:01:45:26
00:01:45:26 00:01:46:01		MUSEUM1		museum
00:01:46:01 00:01:46:22
00:01:46:22 00:01:46:42		PRESENT-OR-HERE1*		da
00:01:46:42 00:01:46:49
00:01:46:49 00:01:47:09		$GEST^
00:01:47:09 00:01:47:31
00:01:47:31 00:01:48:05	You can go biking or skating, as well.
00:01:48:05 00:01:48:13		$NUM-ONE-TO-TEN1A:2d
00:01:48:13 00:01:49:09
00:01:49:09 00:01:49:19		POSSIBLE1*		mö{glich}
00:01:49:19 00:01:49:22
00:01:49:22 00:01:49:27		$INDEX1*
00:01:49:27 00:01:49:29
00:01:49:29 00:01:49:40		BICYCLE1		fahr{rad}
00:01:49:40 00:01:50:04
00:01:50:04 00:01:50:15		CLEAR1A*		klar
00:01:50:15 00:01:50:24
00:01:50:24 00:01:50:30		$LIST1:2of2d
00:01:50:30 00:01:50:37
00:01:50:37 00:01:51:05		ROLLERBLADES1A		inliner
00:01:51:05 00:01:51:24
00:01:51:24 00:01:51:40		CLEAR1A		klar
00:01:51:40 00:01:51:47	And you can even surf nearby.
00:01:51:47 00:01:52:11		$LIST1:3of3d
00:01:52:11 00:01:52:25
00:01:52:25 00:01:52:37		TO-ROW1^*		surfen
00:01:52:37 00:01:52:43
00:01:52:43 00:01:53:04		PARTICULARLY1A		[MG]
00:01:53:04 00:01:53:09
00:01:53:09 00:01:53:13		$INDEX1*
00:01:53:13 00:01:53:18
00:01:53:18 00:01:53:30		MORE1*		mehr
00:01:53:30 00:01:53:44
00:01:53:44 00:01:54:04		CLOSE-BY1B*		[MG]
00:01:54:04 00:01:54:16
00:01:54:16 00:01:54:42		TO-SURF1		surfen
00:01:54:42 00:01:54:49
00:01:54:49 00:01:55:08		WHAT1B		was
00:01:55:08 00:01:55:11
00:01:55:11 00:01:55:18	You can go kite surfing there, as well.
00:01:55:18 00:01:56:12		$PROD		kiting
00:01:56:12 00:01:57:14
00:01:57:14 00:01:57:24		WIND1*
00:01:57:24 00:01:57:28
00:01:57:28 00:01:58:12		$PROD		drachen
00:01:58:12 00:01:58:21
00:01:58:21 00:01:59:00		$PROD
00:01:59:00 00:01:59:10
00:01:59:10 00:01:59:19		CAN2B		kann
00:01:59:19 00:01:59:33
00:01:59:33 00:02:00:38		$GEST-OFF1^*
00:02:00:38 00:02:00:48
00:02:00:48 00:02:01:28		$GEST^
00:02:01:28 00:02:02:01					And they have festivities, too!
00:02:02:01 00:02:02:09						CELEBRATION1D		fest
00:02:02:09 00:02:02:23
00:02:02:23 00:02:02:35
00:02:02:35 00:02:03:05						CELEBRATION2*		[MG]
00:02:03:05 00:02:03:14
00:02:03:14 00:02:03:24	Festivities? Actually, there are only two.					AREA1A*
00:02:03:24 00:02:03:41
00:02:03:41 00:02:04:00		CELEBRATION1A*		fest
00:02:04:00 00:02:04:21
00:02:04:21 00:02:04:36
00:02:04:36 00:02:04:42		ONLY2A
00:02:04:42 00:02:04:45
00:02:04:45 00:02:05:24		$NUM-ONE-TO-TEN1A:2		zwei
00:02:05:24 00:02:05:30
00:02:05:30 00:02:05:38	An outstanding celebration is the “Osterwiese” [Easter meadow].
00:02:05:38 00:02:06:00		PARTICULARLY1A		besonders
00:02:06:00 00:02:06:12
00:02:06:12 00:02:06:20		CELEBRATION1A*		fest
00:02:06:20 00:02:06:40
00:02:06:40 00:02:06:46		EASTER1D*		osterwiese
00:02:06:46 00:02:07:07
00:02:07:07 00:02:07:18		PLANE3B^
00:02:07:18 00:02:07:26
00:02:07:26 00:02:07:38	It is similar to the Oktoberfest, but it is named differently.
00:02:07:38 00:02:08:05		LIKE3A*		wie
00:02:08:05 00:02:08:18
00:02:08:18 00:02:08:25		OCTOBER2*		oktoberfest
00:02:08:25 00:02:08:34
00:02:08:34 00:02:08:42		CELEBRATION1A*
00:02:08:42 00:02:08:47
00:02:08:47 00:02:08:49		ATTENTION1A^*
00:02:08:49 00:02:09:11
00:02:09:11 00:02:09:19		DIFFERENT1
00:02:09:19 00:02:09:30
00:02:09:30 00:02:09:38		WORD3*
00:02:09:38 00:02:09:46
00:02:09:46 00:02:10:07	A funfair.
00:02:10:07 00:02:10:30		MARKET2		fre{imarkt}
00:02:10:30 00:02:10:44
00:02:10:44 00:02:11:12		FUNFAIR2*		kirmes
00:02:11:12 00:02:11:35
00:02:11:35 00:02:11:43		FUNFAIR1*
00:02:11:43 00:02:12:03
00:02:12:03 00:02:12:14	Mostly, the “Osterwiese” is held in April.
00:02:12:14 00:02:12:20		EASTER1D*		osterwiese
00:02:12:20 00:02:12:29
00:02:12:29 00:02:12:41		PLANE3A^
00:02:12:41 00:02:12:45
00:02:12:45 00:02:13:00		TYPICAL1*		typisch
00:02:13:00 00:02:13:08
00:02:13:08 00:02:13:19		APRIL2*		april
00:02:13:19 00:02:13:23
00:02:13:23 00:02:13:38		TO-BELONG1^*
00:02:13:38 00:02:14:01
00:02:14:01 00:02:14:15	And the “Freimarkt” [lit. free fair] takes place in October.
00:02:14:15 00:02:14:23		ALSO1A*		auch
00:02:14:23 00:02:15:18
00:02:15:18 00:02:15:39		OCTOBER2*		oktober
00:02:15:39 00:02:15:47
00:02:15:47 00:02:16:07		TYPICAL1*		typisch
00:02:16:07 00:02:16:26
00:02:16:26 00:02:16:35		FREE4		freimarkt
00:02:16:35 00:02:16:42
00:02:16:42 00:02:17:14		MARKET6A
00:02:17:14 00:02:17:16
00:02:17:16 00:02:17:23	It is called ‘Ischa Freimaak’ in Low German. It derives from Bremen’s history.
00:02:17:23 00:02:17:30		TO-KNOW-STH2A^*
00:02:17:30 00:02:17:34
00:02:17:34 00:02:20:27		$ALPHA1:I-SCH-A-F-R-E-I-M-AA-K		ischafreimaak
00:02:20:27 00:02:21:04
00:02:21:04 00:02:21:10		FLAT1A		plattdeutsch
00:02:21:10 00:02:21:24
00:02:21:24 00:02:21:32		GERMAN1
00:02:21:32 00:02:22:22
00:02:22:22 00:02:22:29		PAST-OR-BACK-THEN2
00:02:22:29 00:02:22:37
00:02:22:37 00:02:22:48		HISTORY-OR-STORY3*		geschichte
00:02:22:48 00:02:23:05
00:02:23:05 00:02:23:11		FLAT1A		plattdeutsch
00:02:23:11 00:02:23:21
00:02:23:21 00:02:23:26		GERMAN1
00:02:23:26 00:02:23:33
00:02:23:33 00:02:23:43		WORD2
00:02:23:43 00:02:23:49
00:02:23:49 00:02:24:10		$INDEX1
00:02:24:10 00:02:24:20
00:02:24:20 00:02:24:28	It is the oldest fair of Northern Germany.
00:02:24:28 00:02:24:39		HISTORY-OR-STORY3^*
00:02:24:39 00:02:25:02
00:02:25:02 00:02:25:17		OLD5A*		alt
00:02:25:17 00:02:25:23
00:02:25:23 00:02:25:43		HISTORY-OR-STORY3^*		histor{isch}
00:02:25:43 00:02:26:01
00:02:26:01 00:02:26:19		MARKET2*		freimarkt
00:02:26:19 00:02:27:12
00:02:27:12 00:02:27:19		NORTH1B		norddeutsch
00:02:27:19 00:02:27:28
00:02:27:28 00:02:27:32		GERMAN1*
00:02:27:32 00:02:27:44
00:02:27:44 00:02:28:08		TOGETHER2C^		volksfest
00:02:28:08 00:02:28:13
00:02:28:13 00:02:28:26		CELEBRATION1A*
00:02:28:26 00:02:28:37
00:02:28:37 00:02:28:46		NORTH1B		norddeutsch
00:02:28:46 00:02:29:03
00:02:29:03 00:02:29:10		GERMAN1*
00:02:29:10 00:02:29:24
00:02:29:24 00:02:29:36		SOLE1		einzig
00:02:29:36 00:02:29:47
00:02:29:47 00:02:30:20		OLD5A*		alt
00:02:30:20 00:02:30:36
00:02:30:36 00:02:30:43	The “Osterwiese” emerged later on.
00:02:30:43 00:02:30:47		OCTOBER16*		oktoberfest
00:02:30:47 00:02:31:03
00:02:31:03 00:02:31:08		CELEBRATION1D*
00:02:31:08 00:02:31:13
00:02:31:13 00:02:31:20		$INDEX1
00:02:31:20 00:02:31:26
00:02:31:26 00:02:31:47		LATER10*		spä{ter}
00:02:31:47 00:02:32:04
00:02:32:04 00:02:32:10		$INDEX1
00:02:32:10 00:02:32:18
00:02:32:18 00:02:32:23	Exactly, the “Freimarkt” is the oldest fair. Therefore, it is one-of-a-kind.
00:02:32:23 00:02:32:30		$INDEX1
00:02:32:30 00:02:32:43
00:02:32:43 00:02:33:05		OLD5A*		alt
00:02:33:05 00:02:33:08
00:02:33:08 00:02:33:19		$GEST^
00:02:33:19 00:02:33:27
00:02:33:27 00:02:33:31		PARTICULARLY1A		besonders
00:02:33:31 00:02:33:37
00:02:33:37 00:02:33:44		$INDEX1
00:02:33:44 00:02:34:06
00:02:34:06 00:02:34:17	Once a year they hold an evening of musical entertainment.	AND2A		und
00:02:34:17 00:02:35:01
00:02:35:01 00:02:35:07		HERE1
00:02:35:07 00:02:35:12
00:02:35:12 00:02:35:23		$GEST^
00:02:35:23 00:02:35:25
00:02:35:25 00:02:35:36		SOMETIMES2		manchmal
00:02:35:36 00:02:35:41
00:02:35:41 00:02:35:44		$NUM-ONE-TO-TEN1A:1		einmal
00:02:35:44 00:02:36:20		YEAR3B		jahr
00:02:36:20 00:02:36:26
00:02:36:26 00:02:37:12		MUSIC4		musikabend
00:02:37:12 00:02:37:20
00:02:37:20 00:02:38:01		EVENING2*
00:02:38:01 00:02:38:14
00:02:38:14 00:02:38:21	That’s a typical open-air event with great light effects. It is held between the events ‘Osterwiese’ and ‘Freimarkt’.
00:02:38:21 00:02:38:35		TYPICAL1		typisch
00:02:38:35 00:02:38:42
00:02:38:42 00:02:39:22		BETWEEN1C		zwischen
00:02:39:22 00:02:39:33
00:02:39:33 00:02:39:39		TO-FORGET1		vergess
00:02:39:39 00:02:39:49
00:02:39:49 00:02:40:32		MUSIC1		musik
00:02:40:32 00:02:40:45
00:02:40:45 00:02:41:08		OUTSIDE1		drauß
00:02:41:08 00:02:41:22
00:02:41:22 00:02:41:30		PUBLIC1B		öffen{tlich}
00:02:41:30 00:02:41:43
00:02:41:43 00:02:42:44		LIGHT1*		licht
00:02:42:44 00:02:43:11
00:02:43:11 00:02:43:35		TO-ORGANISE2A		organ{isieren}
00:02:43:35 00:02:44:00
00:02:44:00 00:02:44:07	There is a lot going on.
00:02:44:07 00:02:44:18		$GEST^
00:02:44:18 00:02:44:30
00:02:44:30 00:02:44:32		MUCH1C							And the Samba Carnival!
00:02:44:32 00:02:44:45
00:02:44:45 00:02:45:24		TO-ORGANISE2A
00:02:45:24 00:02:46:18
00:02:46:18 00:02:46:39
00:02:46:39 00:02:46:47	Oh Samba, right!
00:02:46:47 00:02:47:07		TO-BEAT1^*		samba	Right, that is in February.
00:02:47:07 00:02:47:17						$INDEX1*		samba
00:02:47:17 00:02:47:30
00:02:47:30 00:02:47:33
00:02:47:33 00:02:47:40						RIGHT-OR-AGREED1A
00:02:47:40 00:02:47:49		RIGHT-OR-AGREED1A		stimmt
00:02:47:49 00:02:48:06			FEBRUARY1B				februar
00:02:48:06 00:02:48:12	The Samba Carnival is characteristic of “Das Viertel” [name of the street district].
00:02:48:12 00:02:48:14		TYPICAL1*		typ{isch}
00:02:48:14 00:02:48:20						BETWEEN1B*
00:02:48:20 00:02:48:25
00:02:48:25 00:02:48:29
00:02:48:29 00:02:48:39
00:02:48:39 00:02:49:08		QUARTER1*		viertel
00:02:49:08 00:02:49:10
00:02:49:10 00:02:49:16
00:02:49:16 00:02:49:21		STREET1A*
00:02:49:21 00:02:49:31
00:02:49:31 00:02:50:26		TO-BEAT1^*		samba
00:02:50:26 00:02:50:37
00:02:50:37 00:02:51:00	The city of Bremen invites international performers who then present their acts.
00:02:51:00 00:02:51:18		CITY2		stadt
00:02:51:18 00:02:52:12
00:02:52:12 00:02:52:22		PEOPLE2
00:02:52:22 00:02:52:36
00:02:52:36 00:02:53:15		CURTAIN2^		zirkus
00:02:53:15 00:02:53:26
00:02:53:26 00:02:53:49		INTERNATIONAL1*		international
00:02:53:49 00:02:54:11
00:02:54:11 00:02:54:29		TO-FIND1B^*
00:02:54:29 00:02:54:42
00:02:54:42 00:02:55:12		TO-COME1*
00:02:55:12 00:02:55:20
00:02:55:20 00:02:56:06		TO-SHOW1A*		[MG]
00:02:56:06 00:02:56:14
00:02:56:14 00:02:57:14		$GEST-OFF1^
00:02:57:14 00:02:57:21	Oh, yes, and they have a parade, as well. It takes place at roughly the same time as the ‘Osterwiese’.
00:02:57:21 00:02:57:31		AND2A		und
00:02:57:31 00:02:58:07
00:02:58:07 00:02:58:35		TO-MOVE1*		umzug
00:02:58:35 00:02:58:41
00:02:58:41 00:02:59:11		TYPICAL1		typisch
00:02:59:11 00:02:59:25
00:02:59:25 00:02:59:27		EASTER1C*		osterwiese
00:02:59:27 00:02:59:43
00:02:59:43 00:03:00:10		PLANE3B^
00:03:00:10 00:03:00:26
00:03:00:26 00:03:00:30		TIME1
00:03:00:30 00:03:00:35
00:03:00:35 00:03:00:38		EXACTLY1
00:03:00:38 00:03:01:04
00:03:01:04 00:03:01:17		TO-MOVE1*		umzug
00:03:01:17 00:03:01:39
00:03:01:39 00:03:02:19		MASS-OF-PEOPLE-ACTIVE2*		[MG]
00:03:02:19 00:03:02:22
00:03:02:22 00:03:02:30	They toss loads of candy into the crowd.
00:03:02:30 00:03:02:35		CANDY2*		bonbon
00:03:02:35 00:03:02:46
00:03:02:46 00:03:04:26		TO-THROW1^*		[MG]
00:03:04:26 00:03:04:34	Still, it is different from the Cologne Carnival.
00:03:04:34 00:03:04:43		COLOGNE2		köln
00:03:04:43 00:03:04:48
00:03:04:48 00:03:05:07		DIFFERENT1		anders
00:03:05:07 00:03:05:15
00:03:05:15 00:03:05:29		CARNIVAL2A		karneval
00:03:05:29 00:03:05:39
00:03:05:39 00:03:05:43		$INDEX1
00:03:05:43 00:03:06:02
00:03:06:02 00:03:06:14		DIFFERENT1		anders
00:03:06:14 00:03:06:24
00:03:06:24 00:03:06:29	Yet, they too have a procession through the city.
00:03:06:29 00:03:07:00		TO-MOVE1*		umzug
00:03:07:00 00:03:07:14
00:03:07:14 00:03:08:00		MASS-OF-PEOPLE-ACTIVE2*		[MG]
00:03:08:00 00:03:08:05
00:03:08:05 00:03:08:12		$INDEX1
00:03:08:12 00:03:08:13
00:03:08:13 00:03:08:18	And Easter Fires are typical for Bremen.
00:03:08:18 00:03:08:23		AND2A
00:03:08:23 00:03:08:37
00:03:08:37 00:03:08:42		EASTER1A*		osterfeuer
00:03:08:42 00:03:09:04
00:03:09:04 00:03:09:19		FIRE1A*
00:03:09:19 00:03:09:23
00:03:09:23 00:03:10:01		TYPICAL1		typisch
00:03:10:01 00:03:10:27
00:03:10:27 00:03:10:32	They are held the day before Easter Sunday.
00:03:10:32 00:03:10:35		$NUM-ONE-TO-TEN1A:1d*		ein
00:03:10:35 00:03:10:43
00:03:10:43 00:03:10:46		DAY1A*		tag
00:03:10:46 00:03:11:04
00:03:11:04 00:03:11:15		BEFORE1D		vor
00:03:11:15 00:03:11:31
00:03:11:31 00:03:12:18		EASTER1C		ostern
00:03:12:18 00:03:12:42
00:03:12:42 00:03:13:01		EASTER1C		osterfeuer
00:03:13:01 00:03:13:06					Aren't those held on Good Friday?
00:03:13:06 00:03:13:13
00:03:13:13 00:03:13:20						$ALPHA1:K*		karfreitag
00:03:13:20 00:03:13:24
00:03:13:24 00:03:13:28		FIRE1A*
00:03:13:28 00:03:13:39						FREE1*
00:03:13:39 00:03:13:48
00:03:13:48 00:03:14:10						$ALPHA1:K*
00:03:14:10 00:03:14:17	No, afterwards.
00:03:14:17 00:03:14:28		$ALPHA1:K		karfreitag
00:03:14:28 00:03:14:30
00:03:14:30 00:03:14:35		NO1A
00:03:14:35 00:03:14:44
00:03:14:44 00:03:14:49			NO1A
00:03:14:49 00:03:15:13
00:03:15:13 00:03:15:31		AFTERWARDS2A
00:03:15:31 00:03:15:39
00:03:15:39 00:03:15:42				OUTDOORS1A*			feuer
00:03:15:42 00:03:15:46	There is Good Friday, the Saturday before Easter, and Easter Sunday. Usually, they take place on Saturdays.
00:03:15:46 00:03:16:02		$INDEX1
00:03:16:02 00:03:16:06
00:03:16:06 00:03:16:12		$ALPHA1:K		karf{reitag}
00:03:16:12 00:03:16:17
00:03:16:17 00:03:16:19		TYPICAL1		typisch
00:03:16:19 00:03:16:23
00:03:16:23 00:03:16:32
00:03:16:32 00:03:17:22		FRIDAY1A	$NUM-ONE-TO-TEN1A:1d	freitag
00:03:17:22 00:03:17:45
00:03:17:45 00:03:18:19		SATURDAY2	$NUM-ONE-TO-TEN1A:2d	samstag
00:03:18:19 00:03:18:29
00:03:18:29 00:03:18:44		SUNDAY1A	$NUM-ONE-TO-TEN1A:3d	sonntag
00:03:18:44 00:03:19:01
00:03:19:01 00:03:19:06		EASTER1C*		ostersonntag
00:03:19:06 00:03:19:14
00:03:19:14 00:03:19:27		SUNDAY1A*
00:03:19:27 00:03:19:33
00:03:19:33 00:03:19:40		$LIST1:2of3d
00:03:19:40 00:03:19:45
00:03:19:45 00:03:19:49		SUDDENLY4*		[MG]
00:03:19:49 00:03:20:04
00:03:20:04 00:03:20:13		SATURDAY2*		samstag
00:03:20:13 00:03:20:23
00:03:20:23 00:03:21:30		$LIST1:2of2d*
00:03:21:30 00:03:21:37
00:03:21:37 00:03:21:42		TYPICAL1*		typisch
00:03:21:42 00:03:22:02
00:03:22:02 00:03:22:09		EASTER1C*		osterfeuer
00:03:22:09 00:03:22:25
00:03:22:25 00:03:23:07		FIRE1A*
00:03:23:07 00:03:23:08
00:03:23:08 00:03:23:11	There are quite different Easter Fires: large public gatherings, small ones, and private ones.
00:03:23:11 00:03:23:40		DIFFERENCE1B*		[MG]
00:03:23:40 00:03:23:46
00:03:23:46 00:03:24:06
00:03:24:06 00:03:24:29		BIG3B		groß
00:03:24:29 00:03:24:37
00:03:24:37 00:03:24:47		EVENT3		veranstaltung
00:03:24:47 00:03:25:02
00:03:25:02 00:03:25:06		$GEST^		oder
00:03:25:06 00:03:25:19
00:03:25:19 00:03:25:31		SMALL6		[MG]
00:03:25:31 00:03:25:46
00:03:25:46 00:03:26:20		PRIVATE1A*		privat
00:03:26:20 00:03:26:28
00:03:26:28 00:03:26:38		TO-OWN1		[MG]
00:03:26:38 00:03:26:43
00:03:26:43 00:03:26:48	You have to get permission for hosting a private Easter Fire.
00:03:26:48 00:03:27:04		ALLOWED2A*		darf
00:03:27:04 00:03:27:14
00:03:27:14 00:03:27:34		TO-ACKNOWLEDGE1
00:03:27:34 00:03:27:42
00:03:27:42 00:03:28:02		COHERENCE1A^
00:03:28:02 00:03:28:11
00:03:28:11 00:03:28:20		REQUEST1A		ant{rag}
00:03:28:20 00:03:28:25	From small to huge: there are plenty of different events.
00:03:28:25 00:03:28:32		$INDEX1
00:03:28:32 00:03:28:42
00:03:28:42 00:03:29:04		SMALL6		klein
00:03:29:04 00:03:29:10
00:03:29:10 00:03:29:24		BIG3B		groß
00:03:29:24 00:03:29:26
00:03:29:26 00:03:30:06		DIFFERENCE1B*		[MG]
00:03:30:06 00:03:30:12
00:03:30:12 00:03:30:41		EVENT3		veranstaltung
00:03:30:41 00:03:30:43
00:03:30:43 00:03:31:03	A nice Easter Fire is also dependent on the weather.
00:03:31:03 00:03:31:07		EASTER1D*		osterfeuer
00:03:31:07 00:03:31:17
00:03:31:17 00:03:32:08		FIRE1A
00:03:32:08 00:03:32:35
00:03:32:35 00:03:32:40		COHERENCE1A^
00:03:32:40 00:03:32:48
00:03:32:48 00:03:33:06		$INDEX2		wetter
00:03:33:06 00:03:33:10
00:03:33:10 00:03:33:20		$INDEX1
00:03:33:20 00:03:33:23
00:03:33:23 00:03:33:33	Last year it was quite warm already; you could even wear a T-shirt. We'll see how the weather will be next time.
00:03:33:33 00:03:33:46		LAST-TEMPORAL3		letzt
00:03:33:46 00:03:34:02
00:03:34:02 00:03:34:15		GREAT1A*		[MG]
00:03:34:15 00:03:34:25
00:03:34:25 00:03:34:32		SUMMER2		sommer
00:03:34:32 00:03:34:40
00:03:34:40 00:03:35:30		T-SHIRT2
00:03:35:30 00:03:35:41
00:03:35:41 00:03:35:49		TO-KNOW-STH2B		[MG]
00:03:35:49 00:03:36:10
00:03:36:10 00:03:36:22		NEXT1
00:03:36:22 00:03:36:35
00:03:36:35 00:03:36:38		I1
00:03:36:38 00:03:36:44
00:03:36:44 00:03:37:03		$GEST^
00:03:37:03 00:03:37:27
00:03:37:27 00:03:37:42		TO-ORGANISE2A		organ{isieren}
00:03:37:42 00:03:38:16
00:03:38:16 00:03:38:41
00:03:38:41 00:03:39:05	What else can I talk about?
00:03:39:05 00:03:40:01		$GEST^
00:03:40:01 00:03:40:06	Right, back to the three museums.
00:03:40:06 00:03:40:18		INTEREST1A
00:03:40:18 00:03:40:27
00:03:40:27 00:03:40:30		$NUM-ONE-TO-TEN1A:3d
00:03:40:30 00:03:40:34
00:03:40:34 00:03:40:44		MUSEUM1
00:03:40:44 00:03:40:45
00:03:40:45 00:03:40:49	The best museum is called “Universum” [universe]; it is a museum of natural science.
00:03:40:49 00:03:41:06		PARTICULARLY1A		[MG]
00:03:41:06 00:03:41:24
00:03:41:24 00:03:41:44		UNIVERSITY1^		universum
00:03:41:44 00:03:42:06
00:03:42:06 00:03:42:20		$PROD
00:03:42:20 00:03:42:37
00:03:42:37 00:03:43:19		$PROD
00:03:43:19 00:03:44:07
00:03:44:07 00:03:44:19		NATURE6A		naturwissenschaft
00:03:44:19 00:03:44:27
00:03:44:27 00:03:44:44		SCIENCE2
00:03:44:44 00:03:45:25
00:03:45:25 00:03:45:37	It's about cold water, and how to avoid flooding. That's what you can see in the museum.
00:03:45:37 00:03:45:49		$ALPHA1:K		kl{ima}
00:03:45:49 00:03:46:18
00:03:46:18 00:03:46:43		CLIMATE1*
00:03:46:43 00:03:47:06
00:03:47:06 00:03:47:14		WATER1*		wie viel
00:03:47:14 00:03:47:19
00:03:47:19 00:03:47:38		COLD2*		kalt
00:03:47:38 00:03:47:41
00:03:47:41 00:03:48:06		WATER1		wasser
00:03:48:06 00:03:48:13
00:03:48:13 00:03:48:30		$GEST^
00:03:48:30 00:03:48:43
00:03:48:43 00:03:49:00		WATER1*		wasser
00:03:49:00 00:03:49:16
00:03:49:16 00:03:49:25		STREAM1		strö{mung}
00:03:49:25 00:03:49:26
00:03:49:26 00:03:49:31		$ORAL^		wie
00:03:49:31 00:03:49:39
00:03:49:39 00:03:49:48		STRONG1B		stark
00:03:49:48 00:03:50:13
00:03:50:13 00:03:50:26		DEFENCE3C		abwehr
00:03:50:26 00:03:50:39
00:03:50:39 00:03:51:17		HOW8		wie wie
00:03:51:17 00:03:51:27
00:03:51:27 00:03:52:03		MUSEUM1		museum
00:03:52:03 00:03:52:13
00:03:52:13 00:03:52:22		PRESENT-OR-HERE1		da
00:03:52:22 00:03:52:33
00:03:52:33 00:03:52:40		SUPER1*
00:03:52:40 00:03:52:46
00:03:52:46 00:03:53:03	It is next to the 'Black Box', on the other side of the road.
00:03:53:03 00:03:53:27		NEXT-TO1A*		[MG]
00:03:53:27 00:03:54:04
00:03:54:04 00:03:54:23		BLACK3		black
00:03:54:23 00:03:54:33
00:03:54:33 00:03:55:11		BOX1		box
00:03:55:11 00:03:55:29
00:03:55:29 00:03:55:42		CLOSE-BY1B*		[MG]
00:03:55:42 00:03:56:07
00:03:56:07 00:03:56:32		$INDEX1*		um
00:03:56:32 00:03:56:43
00:03:56:43 00:03:56:46		$INDEX1
00:03:56:46 00:03:56:49
00:03:56:49 00:03:57:06	Last year it dealt with the manufacturing of chocolate, and this year the topic is phantasy, color, and shape.
00:03:57:06 00:03:57:12		NEW1A		neu
00:03:57:12 00:03:57:22
00:03:57:22 00:03:57:32		SUBJECT1
00:03:57:32 00:03:57:38
00:03:57:38 00:03:58:09		HERE1		hier
00:03:58:09 00:03:58:17
00:03:58:17 00:03:58:23		SUBJECT1		thema
00:03:58:23 00:03:58:30
00:03:58:30 00:03:58:46		LAST-TEMPORAL3		letzte
00:03:58:46 00:03:59:08
00:03:59:08 00:03:59:13		BLOCK1*		blockschokolade
00:03:59:13 00:03:59:17
00:03:59:17 00:03:59:39		CHOCOLATE2
00:03:59:39 00:03:59:48
00:03:59:48 00:04:00:11		HOW-QUESTION2		wie
00:04:00:11 00:04:00:20
00:04:00:20 00:04:00:42		PROCEEDING1A		ablauf
00:04:00:42 00:04:00:48
00:04:00:48 00:04:01:04		NOW1		jetzt
00:04:01:04 00:04:01:11
00:04:01:11 00:04:01:21		SUBJECT1		thema
00:04:01:21 00:04:02:00
00:04:02:00 00:04:02:22		FANTASY2*		fantasie
00:04:02:22 00:04:02:42
00:04:02:42 00:04:03:16		COLOUR1A		farbe
00:04:03:16 00:04:03:26
00:04:03:26 00:04:04:02		SHAPE1A		form
00:04:04:02 00:04:04:03
00:04:04:03 00:04:04:08	Really interesting.
00:04:04:08 00:04:04:27		INTEREST1A
00:04:04:27 00:04:04:33
00:04:04:33 00:04:04:36	You can, for instance, look at various shapes.
00:04:04:36 00:04:04:48		SHAPE1A		form
00:04:04:48 00:04:05:04
00:04:05:04 00:04:05:29		TO-LOOK-AT4^
00:04:05:29 00:04:06:07
00:04:06:07 00:04:06:30
00:04:06:30 00:04:06:36	There is also a museum in the “Schnoor” [part of the historic city center] about the former life in Bremen during the time of National Socialism.
00:04:06:36 00:04:06:42		ALSO3A		auch
00:04:06:42 00:04:06:45
00:04:06:45 00:04:07:04		TO-OWN1		[MG]
00:04:07:04 00:04:07:21
00:04:07:21 00:04:07:41		BREMEN1		bremen
00:04:07:41 00:04:08:02
00:04:08:02 00:04:08:12		$ORG-SS1^*
00:04:08:12 00:04:08:21
00:04:08:21 00:04:08:31		TRADITION2A*
00:04:08:31 00:04:08:49
00:04:08:49 00:04:09:18		TO-LIVE1C		leben
00:04:09:18 00:04:09:29
00:04:09:29 00:04:09:43		HOW-QUESTION3		wie
00:04:09:43 00:04:10:02
00:04:10:02 00:04:10:11		MUSEUM1*
00:04:10:11 00:04:10:21
00:04:10:21 00:04:10:23		$INDEX1
00:04:10:23 00:04:10:28
00:04:10:28 00:04:11:16		$ALPHA1:SCH-N-OO-R		schnoor
00:04:11:16 00:04:11:22
00:04:11:22 00:04:11:46		TO-OWN1		[MG]
00:04:11:46 00:04:12:04
00:04:12:04 00:04:12:27		MUSEUM1
00:04:12:27 00:04:12:31
00:04:12:31 00:04:12:39	How people used to dress here and all sorts of things.
00:04:12:39 00:04:12:48		HOW-QUESTION3		wie
00:04:12:48 00:04:13:05
00:04:13:05 00:04:13:19		BREMEN1		bremer
00:04:13:19 00:04:13:27
00:04:13:27 00:04:14:09		CLOTHES3^*		klamotte
00:04:14:09 00:04:15:21
00:04:15:21 00:04:16:10		$GEST^
00:04:16:10 00:04:16:25
00:04:16:25 00:04:17:35	In the history of Bremen, cog-built vessels were quite popular.
00:04:17:35 00:04:17:39		BREMEN1*		bremen
00:04:17:39 00:04:17:43
00:04:17:43 00:04:18:01		PARTICULARLY1A*
00:04:18:01 00:04:18:06
00:04:18:06 00:04:18:17		WELL-KNOWN1A*		bekannt
00:04:18:17 00:04:18:25
00:04:18:25 00:04:18:35		PARTICULARLY1A		besonders
00:04:18:35 00:04:18:46
00:04:18:46 00:04:19:11		HISTORY-OR-STORY3		geschichte
00:04:19:11 00:04:19:12
00:04:19:12 00:04:19:16		WHAT1A*
00:04:19:16 00:04:19:26
00:04:19:26 00:04:20:06		$ALPHA1:K-N		k-n
00:04:20:06 00:04:20:14
00:04:20:14 00:04:21:21		$ALPHA1:K-O-G-G-E		kogge
00:04:21:21 00:04:21:25	Those were wooden ships that were used for trading.
00:04:21:25 00:04:21:28		SHIP1*
00:04:21:28 00:04:21:35
00:04:21:35 00:04:22:01		WOOD11		holzschiffe
00:04:22:01 00:04:22:11
00:04:22:11 00:04:22:18		SHIP1
00:04:22:18 00:04:22:21
00:04:22:21 00:04:22:24		PAST-OR-BACK-THEN2*		früher
00:04:22:24 00:04:22:32
00:04:22:32 00:04:23:14		TRADE-OR-NEGOTIATION3*		handeln
00:04:23:14 00:04:23:18	Bremen and Hamburg were trading cities.
00:04:23:18 00:04:23:24		BREMEN1*		bremen
00:04:23:24 00:04:23:28
00:04:23:28 00:04:23:32		AND2A		und
00:04:23:32 00:04:23:45
00:04:23:45 00:04:24:02		HAMBURG2		ham{burg}
00:04:24:02 00:04:24:18
00:04:24:18 00:04:24:28		EQUAL8^		[MG]
00:04:24:28 00:04:24:35
00:04:24:35 00:04:25:27		TRADE-OR-NEGOTIATION3		handeln
00:04:25:27 00:04:25:37
00:04:25:37 00:04:26:31		BACK-AND-FORTH1*
00:04:26:31 00:04:26:39	Bremen is known for its coffee beans, as well.
00:04:26:39 00:04:26:49		HERE1
00:04:26:49 00:04:27:07
00:04:27:07 00:04:27:12		BREMEN1*		bremen
00:04:27:12 00:04:27:14
00:04:27:14 00:04:27:21		ALSO1A*		auch
00:04:27:21 00:04:27:30
00:04:27:30 00:04:27:41		WELL-KNOWN1A		bekannt
00:04:27:41 00:04:27:46
00:04:27:46 00:04:28:00		WHAT1A
00:04:28:00 00:04:28:06
00:04:28:06 00:04:28:33		MEASURE-VERTICAL2A^*		bohne
00:04:28:33 00:04:28:39
00:04:28:39 00:04:29:01		COFFEE2A		kaffee
00:04:29:01 00:04:29:12
00:04:29:12 00:04:29:29		COFFEE1A
00:04:29:29 00:04:29:35
00:04:29:35 00:04:30:04		MEASURE-VERTICAL2A^*		bohne
00:04:30:04 00:04:30:12	Back in those days, people dealt a lot in those, as well as in chocolate.
00:04:30:12 00:04:31:32		TRADE-OR-NEGOTIATION3		handel
00:04:31:32 00:04:31:36
00:04:31:36 00:04:31:42
00:04:31:42 00:04:32:11		CHOCOLATE2		schokolade
00:04:32:11 00:04:32:24
00:04:32:24 00:04:33:26		TRADE-OR-NEGOTIATION3		handel
00:04:33:26 00:04:33:30
00:04:33:30 00:04:34:04	There was a lively trade exchange between Bremen and America, including [coffee and cocoa] beans.
00:04:34:04 00:04:34:23		TO-PLACE1*
00:04:34:23 00:04:34:48
00:04:34:48 00:04:35:08		AMERICA1		amerika
00:04:35:08 00:04:35:14
00:04:35:14 00:04:35:21			$INDEX1
00:04:35:21 00:04:35:33
00:04:35:33 00:04:36:16		TO-GIVE1A^*
00:04:36:16 00:04:36:26
00:04:36:26 00:04:36:36		MEASURE-VERTICAL2A^*		bohne
00:04:36:36 00:04:36:42
00:04:36:42 00:04:37:02		$GEST^
00:04:37:02 00:04:37:12
00:04:37:12 00:04:39:31
00:04:39:31 00:04:39:37	What else can I talk about?
00:04:39:37 00:04:40:03		MORE1		mehr
00:04:40:03 00:04:40:08
00:04:40:08 00:04:40:36		$INDEX1*
00:04:40:36 00:04:40:45
00:04:40:45 00:04:41:28
00:04:41:28 00:04:45:23									It is said, that in this season of the year, in October, something very popular takes place in Bremen.
00:04:45:23 00:04:45:30	Oh yes, great!
00:04:45:30 00:04:45:36		$GEST^
00:04:45:36 00:04:45:46
00:04:45:46 00:04:46:00		$GEST^
00:04:46:00 00:04:46:06
00:04:46:06 00:04:46:25		SUPER2*
00:04:46:25 00:04:46:31
00:04:46:31 00:04:46:38		$INDEX1
00:04:46:38 00:04:46:44
00:04:46:44 00:04:47:02		SUPER2
00:04:47:02 00:04:47:23
00:04:47:23 00:04:47:31		TYPICAL1*
00:04:47:31 00:04:47:44	Cabbage is a famous dish in Bremen. It is prepared traditionally.
00:04:47:44 00:04:48:13		FAMOUS1A		berühmt
00:04:48:13 00:04:48:20
00:04:48:20 00:04:48:29		WHAT1A
00:04:48:29 00:04:48:41
00:04:48:41 00:04:48:47		TRADITION2A		tradition
00:04:48:47 00:04:49:12
00:04:49:12 00:04:50:06		CABBAGE2A*		kohl
00:04:50:06 00:04:50:07
00:04:50:07 00:04:50:13	It is called “Grünkohl mit Pinkel” [curly-leafed kale and a special kind of sausage; uses the sign for “Penis”].
00:04:50:13 00:04:50:28		NAME1B		name
00:04:50:28 00:04:50:34
00:04:50:34 00:04:50:42		CABBAGE2B*		kohl
00:04:50:42 00:04:50:46
00:04:50:46 00:04:51:04		AND2A		und
00:04:51:04 00:04:51:10
00:04:51:10 00:04:51:24		PENIS1^		pinkel
00:04:51:24 00:04:51:27
00:04:51:27 00:04:51:40	Duh, I cannot sign it like that. I meant the sausage ‘Pinkel’ - from the ‘kale tours’.
00:04:51:40 00:04:51:49		PENIS1^		pinkel
00:04:51:49 00:04:52:07
00:04:52:07 00:04:52:13		MUST1A^
00:04:52:13 00:04:52:30
00:04:52:30 00:04:52:47		CROOKED1^*		pinkel
00:04:52:47 00:04:53:07
00:04:53:07 00:04:53:43		TO-DRIVE1		fahrt
00:04:53:43 00:04:53:47
00:04:53:47 00:04:54:07	Nope, the other sign is not suitable.
00:04:54:07 00:04:54:18		PENIS1^		pinkel
00:04:54:18 00:04:54:30
00:04:54:30 00:04:55:04		WORD3		wort
00:04:55:04 00:04:55:10
00:04:55:10 00:04:55:24		NO1A
00:04:55:24 00:04:55:32
00:04:55:32 00:04:55:41		MUST1A^
00:04:55:41 00:04:56:29
00:04:56:29 00:04:56:43		SAUSAGE1B		pinkel
00:04:56:43 00:04:57:07
00:04:57:07 00:04:57:30		TO-DRIVE1		fahrt
00:04:57:30 00:04:57:37
00:04:57:37 00:04:58:04	Those walks are usually from November until March.
00:04:58:04 00:04:58:17		TYPICAL1*		typisch
00:04:58:17 00:04:59:13
00:04:59:13 00:04:59:36		NOVEMBER7B*		november
00:04:59:36 00:04:59:45
00:04:59:45 00:05:00:05		UNTIL-OR-TO1		bis
00:05:00:05 00:05:00:12
00:05:00:12 00:05:00:36		MARCH12		märz
00:05:00:36 00:05:00:49
00:05:00:49 00:05:01:12		MEASURE2B^*
00:05:01:12 00:05:01:16
00:05:01:16 00:05:01:29	It’s the best to eat kale when it’s cold outside.
00:05:01:29 00:05:01:34		COHERENCE1A^
00:05:01:34 00:05:01:41
00:05:01:41 00:05:01:45		BEST1		[MG]
00:05:01:45 00:05:02:04
00:05:02:04 00:05:02:09		IF-OR-WHEN1A		wenn
00:05:02:09 00:05:02:19
00:05:02:19 00:05:02:33		COLD2		kalt
00:05:02:33 00:05:02:45
00:05:02:45 00:05:03:03		TO-EAT-OR-FOOD1*		essen
00:05:03:03 00:05:03:13	You typically put a shot glass that is attached to a string around your neck before the tour starts.
00:05:03:13 00:05:03:21		TYPICAL1
00:05:03:21 00:05:03:23
00:05:03:23 00:05:03:30		WHAT1A		was
00:05:03:30 00:05:03:44
00:05:03:44 00:05:04:03		BEFOREHAND2*		vorher
00:05:04:03 00:05:04:21
00:05:04:21 00:05:05:02		MASS-OF-PEOPLE-ACTIVE2*
00:05:05:02 00:05:05:13
00:05:05:13 00:05:05:24		TOGETHER1A*		[MG]
00:05:05:24 00:05:05:28
00:05:05:28 00:05:05:34		BOOZE2		schnaps
00:05:05:34 00:05:05:40
00:05:05:40 00:05:06:25		$PROD
00:05:06:25 00:05:06:31
00:05:06:31 00:05:06:41	Mostly people drink Plum [a sort of hard liquor made from plums] or Korn [lit. 'grain', a sort of hard liquor usually made from fermented rye].
00:05:06:41 00:05:07:05		TO-POUR-OR-TO-WATER1B^	BOOZE1*	[MG]
00:05:07:05 00:05:07:15
00:05:07:15 00:05:07:24		DIFFERENCE1B*		[MG]
00:05:07:24 00:05:07:31
00:05:07:31 00:05:07:35		BOOZE2
00:05:07:35 00:05:07:40
00:05:07:40 00:05:07:45		MOST1B
00:05:07:45 00:05:08:07
00:05:08:07 00:05:08:12			$NUM-ONE-TO-TEN1A:1d
00:05:08:12 00:05:08:23		BOOZE1^*		plum
00:05:08:23 00:05:08:27
00:05:08:27 00:05:08:37			$NUM-ONE-TO-TEN1A:2d
00:05:08:37 00:05:09:12		BOOZE1^		korn
00:05:09:12 00:05:09:25
00:05:09:25 00:05:09:35		$GEST^
00:05:09:35 00:05:09:44	But it can be any other kind of liquor, as well.
00:05:09:44 00:05:09:48		HERE1
00:05:09:48 00:05:10:08
00:05:10:08 00:05:10:25		IN-ADDITION-MORE-AND-MORE1		[MG]
00:05:10:25 00:05:10:32
00:05:10:32 00:05:10:41		POSSIBLE1*		mög{lich}
00:05:10:41 00:05:10:45
00:05:10:45 00:05:10:49	In the past, it was common to drink ‘Korn’.
00:05:10:49 00:05:11:06		PAST-OR-BACK-THEN2*		früher
00:05:11:06 00:05:11:14
00:05:11:14 00:05:11:22		USUAL1*		nor{mal}
00:05:11:22 00:05:11:28
00:05:11:28 00:05:11:45		BOOZE1		korn
00:05:11:45 00:05:12:15
00:05:12:15 00:05:13:03		TO-POUR-OR-TO-WATER1A*
00:05:13:03 00:05:13:16	You walk for two to four hours. Along the way you take breaks and play games before you get to eat.
00:05:13:16 00:05:13:24		TO-EAT-OR-FOOD2*		es{sen}
00:05:13:24 00:05:13:29
00:05:13:29 00:05:13:38		THEN1A*
00:05:13:38 00:05:14:01
00:05:14:01 00:05:14:12		TO-GO-FOR-A-WALK1		[MG]
00:05:14:12 00:05:14:18
00:05:14:18 00:05:14:34		HOUR2A*		zwei stund{en}
00:05:14:34 00:05:14:44
00:05:14:44 00:05:15:02		HOUR2A*		vier stund{en}
00:05:15:02 00:05:15:09
00:05:15:09 00:05:15:29		TO-GO-FOR-A-WALK2B*		[MG]
00:05:15:29 00:05:15:37
00:05:15:37 00:05:15:40		BIT2A
00:05:15:40 00:05:15:47
00:05:15:47 00:05:16:08		TEACHER2^*		gesellschaftsspiele
00:05:16:08 00:05:16:15
00:05:16:15 00:05:16:34		TO-PLAY1
00:05:16:34 00:05:16:37
00:05:16:37 00:05:16:44	In between the games you do a variety of things.
00:05:16:44 00:05:17:15		BETWEEN1D*
00:05:17:15 00:05:17:22
00:05:17:22 00:05:17:28		TEACHER2^*		gesellschaftsspiele
00:05:17:28 00:05:17:32
00:05:17:32 00:05:17:38		TO-PLAY1
00:05:17:38 00:05:17:48
00:05:17:48 00:05:18:25		DIFFERENCE1B		[MG]
00:05:18:25 00:05:18:39	Then, you stop at a restaurant to eat lots of kale.
00:05:18:39 00:05:18:47		$INDEX1
00:05:18:47 00:05:19:09
00:05:19:09 00:05:19:25		CONNECTION1		anschließend
00:05:19:25 00:05:19:29
00:05:19:29 00:05:20:11		RESTAURANT1		restaurant
00:05:20:11 00:05:20:31
00:05:20:31 00:05:20:39		TO-EAT-OR-FOOD2*		es{sen}
00:05:20:39 00:05:20:46
00:05:20:46 00:05:21:10		SATED1*		satt
00:05:21:10 00:05:21:25
00:05:21:25 00:05:21:47		SERVICE2B
00:05:21:47 00:05:22:03
00:05:22:03 00:05:22:14	Sometimes the kale is served with cooked or fried potatoes, with “Kochwurst” [a pre-cooked sausage] or “Kassler” [smoked pork chop].	TYPICAL1*		typisch
00:05:22:14 00:05:22:28
00:05:22:28 00:05:22:42		POTATO3A*		kartoffel
00:05:22:42 00:05:23:07
00:05:23:07 00:05:23:16		TO-SLIDE-OR-TO-PUSH6^*
00:05:23:16 00:05:23:24
00:05:23:24 00:05:23:32		SOMETIMES2		manchmal
00:05:23:32 00:05:23:39
00:05:23:39 00:05:24:01		TO-BAKE2		blechkartoffel
00:05:24:01 00:05:24:10
00:05:24:10 00:05:24:24		POTATO3A*
00:05:24:24 00:05:24:32
00:05:24:32 00:05:24:44			SERVICE2A*
00:05:24:44 00:05:25:12
00:05:25:12 00:05:25:19		AND2A*		und
00:05:25:19 00:05:25:36
00:05:25:36 00:05:26:03		TO-COOK2C		kochwurst
00:05:26:03 00:05:26:16
00:05:26:16 00:05:26:37		SAUSAGE1A
00:05:26:37 00:05:27:00
00:05:27:00 00:05:27:08		AND2A		und
00:05:27:08 00:05:27:22
00:05:27:22 00:05:27:31		DOG1^		kassler
00:05:27:31 00:05:27:35
00:05:27:35 00:05:28:33		ENVELOPE3^*
00:05:28:33 00:05:28:42
00:05:28:42 00:05:29:08		TO-PUT-OR-TO-LAY1A^*
00:05:29:08 00:05:29:22
00:05:29:22 00:05:29:28		AND2A
00:05:29:28 00:05:29:39
00:05:29:39 00:05:30:09		CABBAGE2A		kohl
00:05:30:09 00:05:30:20
00:05:30:20 00:05:30:34		TO-EAT-OR-FOOD1*		essen
00:05:30:34 00:05:30:38
00:05:30:38 00:05:30:45	It's quite interesting: You cannot buy any curly-leafed kale in Munich.
00:05:30:45 00:05:31:34		$PROD		kohl
00:05:31:34 00:05:31:43
00:05:31:43 00:05:31:49		$INDEX1
00:05:31:49 00:05:32:04
00:05:32:04 00:05:32:18		INTEREST1A		interessant
00:05:32:18 00:05:32:25
00:05:32:25 00:05:32:30		HERE1
00:05:32:30 00:05:32:39
00:05:32:39 00:05:32:46		$INDEX1
00:05:32:46 00:05:33:04
00:05:33:04 00:05:33:10		TO-LIKE4		[MG]
00:05:33:10 00:05:33:13
00:05:33:13 00:05:33:21		$GEST^
00:05:33:21 00:05:33:33
00:05:33:33 00:05:33:38		MUNICH1A*		münchen
00:05:33:38 00:05:33:45
00:05:33:45 00:05:33:47		$INDEX1*
00:05:33:47 00:05:34:02
00:05:34:02 00:05:34:18		TO-WANT5*		will
00:05:34:18 00:05:34:40
00:05:34:40 00:05:34:43		IDEA2A		[MG]
00:05:34:43 00:05:35:05
00:05:35:05 00:05:35:25		TO-COOK1*		kochen
00:05:35:25 00:05:35:33
00:05:35:33 00:05:35:49		CABBAGE2A		kohl
00:05:35:49 00:05:36:09
00:05:36:09 00:05:36:20		TO-BUY1A		kaufen
00:05:36:20 00:05:36:24
00:05:36:24 00:05:36:38		$INDEX1
00:05:36:38 00:05:36:42
00:05:36:42 00:05:36:44	You only get it around here.
00:05:36:44 00:05:36:47		ONLY2A		nur
00:05:36:47 00:05:37:01
00:05:37:01 00:05:37:39		HERE1*
00:05:37:39 00:05:38:04
00:05:38:04 00:05:38:12	If the inhabitants of Munich want any curly-leafed kale, they have to obtain it from us.
00:05:38:12 00:05:38:19			$INDEX4
00:05:38:19 00:05:38:23
00:05:38:23 00:05:38:43			NO2B
00:05:38:43 00:05:38:48
00:05:38:48 00:05:39:08		MUST1		muss
00:05:39:08 00:05:39:22
00:05:39:22 00:05:39:33		TO-WANT5*		will
00:05:39:33 00:05:39:49
00:05:39:49 00:05:40:06		TO-ORDER1A		bestell
00:05:40:06 00:05:40:15
00:05:40:15 00:05:40:38		HERE1*
00:05:40:38 00:05:40:49
00:05:40:49 00:05:41:04	I did not know that before, but I have read about it recently.
00:05:41:04 00:05:41:09		I1		ich
00:05:41:09 00:05:41:16
00:05:41:16 00:05:41:20		TO-KNOW-STH2A
00:05:41:20 00:05:41:28
00:05:41:28 00:05:41:36		RECENTLY1A
00:05:41:36 00:05:41:42
00:05:41:42 00:05:42:04		TO-READ-BOOK2B		[MG]
00:05:42:04 00:05:42:09
00:05:42:09 00:05:42:16		INTEREST1A*
00:05:42:16 00:05:42:21
00:05:42:21 00:05:42:29		TOWARDS9		zum
00:05:42:29 00:05:42:37
00:05:42:37 00:05:43:03		TO-TAKE-SB-OR-STH-ALONG2*		mitnehm
00:05:43:03 00:05:43:04
00:05:43:04 00:05:43:07		HERE1
00:05:43:07 00:05:43:14	Curly-leafed kale is really delicious; it is exclusively typical during that time.
00:05:43:14 00:05:43:21		CABBAGE2B*		kohl
00:05:43:21 00:05:43:29
00:05:43:29 00:05:43:33		IN-ADDITION1*
00:05:43:33 00:05:43:34
00:05:43:34 00:05:43:37		HERE1
00:05:43:37 00:05:43:44
00:05:43:44 00:05:44:33		TASTY1		lecker
00:05:44:33 00:05:44:37
00:05:44:37 00:05:44:40		$INDEX1
00:05:44:40 00:05:44:42
00:05:44:42 00:05:45:00		TYPICAL1*		typisch
00:05:45:00 00:05:45:09
00:05:45:09 00:05:45:23		BETWEEN1B^*		[MG]
00:05:45:23 00:05:45:28
00:05:45:28 00:05:45:30		TYPICAL1*
00:05:45:30 00:05:45:34
00:05:45:34 00:05:45:42		$INDEX1
00:05:45:42 00:05:45:46
00:05:45:46 00:05:46:01	The dish can be prepared in private, or with your family. Even my grandmother makes it if she feels like it.
00:05:46:01 00:05:46:10		DISTINCT1		versch{ieden}
00:05:46:10 00:05:46:22
00:05:46:22 00:05:46:37		PRIVATE1A*		privat
00:05:46:37 00:05:46:47
00:05:46:47 00:05:47:09		OR4B*		o{der}
00:05:47:09 00:05:47:23
00:05:47:23 00:05:47:42		FAMILY1		familie
00:05:47:42 00:05:47:44
00:05:47:44 00:05:48:06		$GEST-OFF1^
00:05:48:06 00:05:48:09
00:05:48:09 00:05:48:14		SOMETIMES2		manchmal
00:05:48:14 00:05:48:18
00:05:48:18 00:05:48:21		I1
00:05:48:21 00:05:48:29
00:05:48:29 00:05:48:35		GRANDMA1C		oma
00:05:48:35 00:05:48:46
00:05:48:46 00:05:49:03		DELIGHT1B		lust
00:05:49:03 00:05:49:10
00:05:49:10 00:05:49:15		EASY1		einfach
00:05:49:15 00:05:49:23
00:05:49:23 00:05:49:29		LIKE-THIS1A*		so
00:05:49:29 00:05:49:36	It doesn't always have to be combined with a cabbage walk. You can cook the kale just like that, and eat it with your friends. That's how the elderly typically do it.
00:05:49:36 00:05:49:44		WITHOUT1B*		ohne
00:05:49:44 00:05:50:01
00:05:50:01 00:05:50:11		MASS-OF-PEOPLE-ACTIVE2*		fahrt
00:05:50:11 00:05:50:22
00:05:50:22 00:05:50:27		ONLY2A		nur
00:05:50:27 00:05:50:37
00:05:50:37 00:05:51:02		TO-COOK1*
00:05:51:02 00:05:51:11
00:05:51:11 00:05:51:28		TO-EAT-OR-FOOD2
00:05:51:28 00:05:51:48
00:05:51:48 00:05:52:02		OLD5A*		alt
00:05:52:02 00:05:52:07
00:05:52:07 00:05:52:15		PEOPLE2		leute
00:05:52:15 00:05:52:22
00:05:52:22 00:05:52:36		TYPICAL1*
00:05:52:36 00:05:52:41
00:05:52:41 00:05:52:48	Younger people, like myself, enjoy the walks and prefer going to restaurants together.
00:05:52:48 00:05:53:02		YOUNG1*		ju{ng}
00:05:53:02 00:05:53:04
00:05:53:04 00:05:53:08		I1
00:05:53:08 00:05:53:24
00:05:53:24 00:05:53:44		MASS-OF-PEOPLE-ACTIVE2*		kohlfahrt
00:05:53:44 00:05:54:02
00:05:54:02 00:05:54:09		RESTAURANT1*		restau{rant}
00:05:54:09 00:05:54:18
00:05:54:18 00:05:54:29		THROUGH1^*
00:05:54:29 00:05:54:38
00:05:54:38 00:05:55:12		TO-EAT-OR-FOOD1*
00:05:55:12 00:05:55:15
00:05:55:15 00:05:55:20		TO-SIT1A		restaurant
00:05:55:20 00:05:55:35
00:05:55:35 00:05:55:41		TO-COOK1*
00:05:55:41 00:05:56:02	It is quite filling.
00:05:56:02 00:05:56:09		FEELING3*
00:05:56:09 00:05:56:22
00:05:56:22 00:05:56:32		THICK7^			Perhaps you will do it like that in the future.
00:05:56:32 00:05:56:40
00:05:56:40 00:05:56:43						LATER5*		später
00:05:56:43 00:05:57:13		$GEST^		[MG]
00:05:57:13 00:05:57:22
00:05:57:22 00:05:57:29						DONT-KNOW1		weiß nicht
00:05:57:29 00:05:57:39
00:05:57:39 00:05:57:40		TYPICAL1
00:05:57:40 00:05:57:49
00:05:57:49 00:05:58:07						$GEST-OFF1^
00:05:58:07 00:05:58:13
00:05:58:13 00:05:58:20	Yes.
00:05:58:20 00:05:58:32		YES2
00:05:58:32 00:05:58:36	Another famous dish of Bremen is called ‘Labskaus’.
00:05:58:36 00:05:58:42		AND5*		und
00:05:58:42 00:05:59:05
00:05:59:05 00:05:59:18		INTEREST1A
00:05:59:18 00:05:59:32
00:05:59:32 00:05:59:46		BREMEN1		bremen
00:05:59:46 00:06:00:06
00:06:00:06 00:06:00:20		TO-EAT-OR-FOOD2		essen
00:06:00:20 00:06:00:30
00:06:00:30 00:06:00:45		KITCHEN3B		küche
00:06:00:45 00:06:01:02
00:06:01:02 00:06:01:10		BREMEN1		bremen
00:06:01:10 00:06:01:28
00:06:01:28 00:06:01:34		QUOTATION-MARKS1
00:06:01:34 00:06:01:43
00:06:01:43 00:06:02:01		BREMEN1*		bremen
00:06:02:01 00:06:02:08
00:06:02:08 00:06:02:14		KITCHEN3B		kü{che}
00:06:02:14 00:06:02:19
00:06:02:19 00:06:02:24		HERE1
00:06:02:24 00:06:02:25
00:06:02:25 00:06:02:32		FAMOUS1A		be{rühmt}
00:06:02:32 00:06:02:36
00:06:02:36 00:06:02:41		WHAT1A
00:06:02:41 00:06:03:00
00:06:03:00 00:06:03:42		TO-STOMP1^*		labskaus
00:06:03:42 00:06:04:34
00:06:04:34 00:06:04:40	People who worked at the harbor used to have really bad teeth back then, so they weren't able to eat meat anymore.
00:06:04:40 00:06:04:46		ALREADY1B		schon
00:06:04:46 00:06:05:03
00:06:05:03 00:06:05:11		PAST-OR-BACK-THEN1*		früher
00:06:05:11 00:06:05:33
00:06:05:33 00:06:06:09		TO-STOMP1^*		labs{kaus}
00:06:06:09 00:06:06:14
00:06:06:14 00:06:06:25		WHERE-FROM1		woher
00:06:06:25 00:06:06:29
00:06:06:29 00:06:06:34		THROUGH2A		durch
00:06:06:34 00:06:06:38
00:06:06:38 00:06:06:45		WAS1		hafen
00:06:06:45 00:06:07:06
00:06:07:06 00:06:07:25		HARBOUR1*
00:06:07:25 00:06:07:31
00:06:07:31 00:06:07:44		$INDEX1
00:06:07:44 00:06:07:49
00:06:07:49 00:06:08:09		PEOPLE2		leute
00:06:08:09 00:06:08:18
00:06:08:18 00:06:08:25		BAD-OR-STALE1		schlecht
00:06:08:25 00:06:08:33
00:06:08:33 00:06:09:18		TOOTH1B		zahn
00:06:09:18 00:06:09:34
00:06:09:34 00:06:09:39		FOR1
00:06:09:39 00:06:10:01
00:06:10:01 00:06:10:12		MEAT1A*		fleisch
00:06:10:12 00:06:10:20
00:06:10:20 00:06:10:30		TO-EAT-OR-FOOD2*		essen
00:06:10:30 00:06:10:41
00:06:10:41 00:06:11:36		CAN1*		kann
00:06:11:36 00:06:11:46
00:06:11:46 00:06:12:10	That’s why they invented ‘Labskaus’ - it is all soft and minced.
00:06:12:10 00:06:12:23		TO-INVENT1
00:06:12:23 00:06:12:41
00:06:12:41 00:06:13:48		TO-GRIND1^		[MG]
00:06:13:48 00:06:14:06	“Labskaus” is still popular.
00:06:14:06 00:06:14:12		$INDEX1
00:06:14:12 00:06:14:23
00:06:14:23 00:06:14:41		LOVE1^*		beliebt
00:06:14:41 00:06:14:49
00:06:14:49 00:06:15:25		UNTIL-NOW2*		bis jetzt
00:06:15:25 00:06:15:49
00:06:15:49 00:06:17:00		TO-STOMP1^*		labskaus
00:06:17:00 00:06:17:09	The side dish varies, depending on the particular region.
00:06:17:09 00:06:17:14		MORE1
00:06:17:14 00:06:17:18
00:06:17:18 00:06:17:34		DIFFERENCE1B
00:06:17:34 00:06:17:43
00:06:17:43 00:06:18:01		CERTAIN1*
00:06:18:01 00:06:18:10
00:06:18:10 00:06:18:19		CLOSE-BY1B		[MG]
00:06:18:19 00:06:18:30
00:06:18:30 00:06:18:42		PART1A		teil
00:06:18:42 00:06:18:46
00:06:18:46 00:06:18:49		$INDEX1*
00:06:18:49 00:06:19:06
00:06:19:06 00:06:19:10		$ALPHA1:R		region
00:06:19:10 00:06:19:20
00:06:19:20 00:06:19:40		REGION1*
00:06:19:40 00:06:19:42
00:06:19:42 00:06:19:47		MEANING1
00:06:19:47 00:06:19:49
00:06:19:49 00:06:20:11		DIFFERENCE1B		unterschied
00:06:20:11 00:06:20:14
00:06:20:14 00:06:20:20	In Bremen they serve “Labskaus” with fried eggs, and pickled herring fillets.
00:06:20:20 00:06:20:26		I1
00:06:20:26 00:06:20:32
00:06:20:32 00:06:20:37		$INDEX1
00:06:20:37 00:06:20:43
00:06:20:43 00:06:20:48		BREMEN1*		bremen
00:06:20:48 00:06:21:05
00:06:21:05 00:06:21:11		TYPICAL1		typisch
00:06:21:11 00:06:21:22
00:06:21:22 00:06:21:42		$LIST1:1of1d
00:06:21:42 00:06:22:01
00:06:22:01 00:06:22:29		TO-STOMP1^*		labskaus
00:06:22:29 00:06:23:06
00:06:23:06 00:06:23:15		WITH1A		mit
00:06:23:15 00:06:23:17
00:06:23:17 00:06:23:21		MIRROR1A*		spiegelei
00:06:23:21 00:06:23:34
00:06:23:34 00:06:23:43		EGG3B*
00:06:23:43 00:06:24:02
00:06:24:02 00:06:24:09		AND2A		und
00:06:24:09 00:06:24:18
00:06:24:18 00:06:24:30		CUCUMBER2B*		gurke
00:06:24:30 00:06:24:35
00:06:24:35 00:06:24:42		AND2A		und
00:06:24:42 00:06:24:47
00:06:24:47 00:06:25:42		TO-ROLL1A^		rollmops
00:06:25:42 00:06:26:08
00:06:26:08 00:06:26:21		$PROD
00:06:26:21 00:06:26:36
00:06:26:36 00:06:27:13		$PROD
00:06:27:13 00:06:27:25		RIGHT-OR-AGREED1A
00:06:27:25 00:06:27:34
00:06:27:34 00:06:27:46	Really tasty and popular to this day.
00:06:27:46 00:06:28:11		TO-FIND-STH-GREAT2		[MG]
00:06:28:11 00:06:28:17
00:06:28:17 00:06:28:21		$INDEX1
00:06:28:21 00:06:28:33
00:06:28:33 00:06:28:46		POPULAR1*
00:06:28:46 00:06:29:01
00:06:29:01 00:06:29:09		UNTIL-TODAY2		bis heute
00:06:29:09 00:06:29:15
00:06:29:15 00:06:29:22		RIGHT-OR-AGREED1A		stimmt
00:06:29:22 00:06:29:27
00:06:29:27 00:06:29:32		$INDEX1
00:06:29:32 00:06:29:44	The third typical specialty of Bremen is ham with fried eggs, and a big pot of fried potatoes.
00:06:29:44 00:06:30:04		$LIST1:2of2d
00:06:30:04 00:06:30:09
00:06:30:09 00:06:30:18		ALSO3A*		auch
00:06:30:18 00:06:30:29
00:06:30:29 00:06:31:20		$GEST^
00:06:31:20 00:06:31:27
00:06:31:27 00:06:31:41		$GEST^
00:06:31:41 00:06:32:18
00:06:32:18 00:06:32:36		HAM1*		schinken
00:06:32:36 00:06:32:45
00:06:32:45 00:06:33:09		AND2A		und
00:06:33:09 00:06:33:19
00:06:33:19 00:06:33:35		EGG3B		spiegelei
00:06:33:35 00:06:33:42
00:06:33:42 00:06:33:47		AND2A
00:06:33:47 00:06:34:04
00:06:34:04 00:06:34:13		POTATO3A*		kartoffel
00:06:34:13 00:06:34:21
00:06:34:21 00:06:34:46		TO-BAKE2		backen
00:06:34:46 00:06:35:09
00:06:35:09 00:06:36:15		BIG3B^		topf
00:06:36:15 00:06:36:40
00:06:36:40 00:06:37:03		$LIST1:3of3d
00:06:37:03 00:06:37:07
00:06:37:07 00:06:37:19	And the fourth would be “Knigg” [Knigg is actually supposed to be “Knipp”].
00:06:37:19 00:06:37:33		$LIST1:4of4d
00:06:37:33 00:06:37:41
00:06:37:41 00:06:39:31		$ALPHA1:K-N-I-GG		knigg
00:06:39:31 00:06:39:49
00:06:39:49 00:06:40:06		FEELING3^		[MG]
00:06:40:06 00:06:40:13	For the dish, different kinds of meat are mixed together.
00:06:40:13 00:06:40:22		MEAT1A*		fleisch
00:06:40:22 00:06:40:28
00:06:40:28 00:06:40:43		TO-MIX2		misch
00:06:40:43 00:06:41:01
00:06:41:01 00:06:41:08		$GEST^
00:06:41:08 00:06:41:17
00:06:41:17 00:06:41:20		WHAT-DOES-IT-LOOK-LIKE1*
00:06:41:20 00:06:41:32
00:06:41:32 00:06:41:39		$INDEX1*
00:06:41:39 00:06:41:48
00:06:41:48 00:06:42:10		RIGHT-OR-AGREED1^*
00:06:42:10 00:06:42:13
00:06:42:13 00:06:42:18	I 'd rather not know what's in it exactly.
00:06:42:18 00:06:42:37		RATHER1		lieber
00:06:42:37 00:06:42:46
00:06:42:46 00:06:43:07		CONTENT3*		inhalt
00:06:43:07 00:06:43:16
00:06:43:16 00:06:43:21		WHAT1A		was
00:06:43:21 00:06:43:31
00:06:43:31 00:06:43:35		TO-KNOW-STH2B
00:06:43:35 00:06:43:42
00:06:43:42 00:06:44:01		NOT3B
00:06:44:01 00:06:44:06
00:06:44:06 00:06:44:12		$GEST-DECLINE1^
00:06:44:12 00:06:44:15	As long as it tastes good.
00:06:44:15 00:06:44:20		$INDEX1
00:06:44:20 00:06:44:26
00:06:44:26 00:06:44:33		MAIN-POINT1B		haupt{sache}
00:06:44:33 00:06:44:36
00:06:44:36 00:06:44:47		TO-EAT-OR-FOOD2*		essen
00:06:44:47 00:06:45:03
00:06:45:03 00:06:45:11		TO-TASTE1A		schmeckt
00:06:45:11 00:06:45:13
00:06:45:13 00:06:45:18		GOOD1		gut
00:06:45:18 00:06:45:20
00:06:45:20 00:06:45:26	If I knew what's in there, I probably wouldn't eat it any longer.
00:06:45:26 00:06:45:30		IF-OR-WHEN1A*		wenn
00:06:45:30 00:06:45:35
00:06:45:35 00:06:45:40		TO-KNOW-STH2B
00:06:45:40 00:06:45:47
00:06:45:47 00:06:46:13		CONTENT3		inhalt
00:06:46:13 00:06:46:19
00:06:46:19 00:06:46:29		TO-EAT-OR-FOOD1		essen
00:06:46:29 00:06:46:37
00:06:46:37 00:06:46:49		NOT3B
00:06:46:49 00:06:47:02	That is why I don't want to know the ingredients.
00:06:47:02 00:06:47:05		$INDEX1
00:06:47:05 00:06:47:16
00:06:47:16 00:06:47:28		TO-KNOW-STH-OR-SB1A
00:06:47:28 00:06:47:39
00:06:47:39 00:06:48:06		TO-TAKE1A^*
00:06:48:06 00:06:48:20
00:06:48:20 00:06:48:25		TO-KNOW-STH2B		weiß
00:06:48:25 00:06:48:31
00:06:48:31 00:06:48:38		CONTENT3		in{halt}
00:06:48:38 00:06:48:47
00:06:48:47 00:06:49:10		NOT3B
00:06:49:10 00:06:49:27
00:06:49:27 00:06:49:41	A deaf person once told me that if I enjoyed eating it, I should know the ingredients.
00:06:49:41 00:06:49:49		DEAF1A
00:06:49:49 00:06:50:06
00:06:50:06 00:06:50:10		FRIEND1B*		freund
00:06:50:10 00:06:50:15
00:06:50:15 00:06:50:38		AFFECTED2
00:06:50:38 00:06:50:49
00:06:50:49 00:06:51:12		CONTENT3		inhalt
00:06:51:12 00:06:51:18
00:06:51:18 00:06:51:22		BEFORE-TEMPORAL2A		vor
00:06:51:22 00:06:51:29
00:06:51:29 00:06:51:30		TO-EAT-OR-FOOD2*
00:06:51:30 00:06:51:34
00:06:51:34 00:06:52:00		TO-TASTE1A		[MG]
00:06:52:00 00:06:52:04
00:06:52:04 00:06:52:08		$INDEX1
00:06:52:08 00:06:52:11
00:06:52:11 00:06:52:23		AFFECTED2
00:06:52:23 00:06:52:24
00:06:52:24 00:06:52:29	But I rather wouldn't know it.
00:06:52:29 00:06:52:33		I1
00:06:52:33 00:06:52:44
00:06:52:44 00:06:53:01		$GEST-DECLINE1^*		[MG]
00:06:53:01 00:06:53:10
00:06:53:10 00:06:53:13		HEADING1^*
00:06:53:13 00:06:53:17
00:06:53:17 00:06:53:21		I1
00:06:53:21 00:06:53:26
00:06:53:26 00:06:53:31		TO-KNOW-STH2A
00:06:53:31 00:06:53:35
00:06:53:35 00:06:53:43		TO-WANT7		will
00:06:53:43 00:06:53:47
00:06:53:47 00:06:54:02		NOT3B		nicht
00:06:54:02 00:06:54:09
00:06:54:09 00:06:54:14		TO-KNOW-STH2B
00:06:54:14 00:06:54:19
00:06:54:19 00:06:54:25		I1
00:06:54:25 00:06:54:35
00:06:54:35 00:06:54:43		$GEST-DECLINE1^*
00:06:54:43 00:06:54:47	As long as it tastes good.
00:06:54:47 00:06:55:04		$MORPH-MAIN1B		haupt
00:06:55:04 00:06:55:07
00:06:55:07 00:06:55:28		TO-EAT-OR-FOOD1		essen
00:06:55:28 00:06:55:31
00:06:55:31 00:06:55:34		TO-TASTE1A*		[MG]
00:06:55:34 00:06:55:42					Whether I knew all the ingredients or not, I would eat it anyways.
00:06:55:42 00:06:55:44						I1*
00:06:55:44 00:06:55:47
00:06:55:47 00:06:56:06
00:06:56:06 00:06:56:13						WHATEVER3		egal
00:06:56:13 00:06:56:16
00:06:56:16 00:06:56:23						IF1		ob
00:06:56:23 00:06:56:30
00:06:56:30 00:06:56:42						TO-KNOW-STH2B*		weiß
00:06:56:42 00:06:56:49
00:06:56:49 00:06:57:19						OR1*		oder
00:06:57:19 00:06:57:28
00:06:57:28 00:06:57:39						TO-LET1^*		egal
00:06:57:39 00:06:57:47
00:06:57:47 00:06:58:10						TO-EAT-OR-FOOD2*		essen
00:06:58:10 00:06:58:22
00:06:58:22 00:06:58:33						DONE1A*		fertig
00:06:58:33 00:06:59:00
00:06:59:00 00:06:59:29	Bremen has some great specialties itself.
00:06:59:29 00:06:59:44		$LIST1:3of5
00:06:59:44 00:07:00:03
00:07:00:03 00:07:00:12		BREMEN1*		bre{men}
00:07:00:12 00:07:00:16
00:07:00:16 00:07:00:25		TO-OWN1*		[MG]
00:07:00:25 00:07:00:30
00:07:00:30 00:07:00:45		OWN1B		eigen
00:07:00:45 00:07:01:07
00:07:01:07 00:07:01:10		TO-EAT-OR-FOOD1*
00:07:01:10 00:07:01:14
00:07:01:14 00:07:01:23		TO-EAT-OR-FOOD2*		essen
00:07:01:23 00:07:01:26
00:07:01:26 00:07:01:41		TO-FIND-STH-GREAT2*		[MG]
00:07:01:41 00:07:01:44
00:07:01:44 00:07:02:01	Especially downtown, in the historic city center, they have some great restaurants like the ‘Bremer Ratskeller’.
00:07:02:01 00:07:02:06		MOST1B		[MG]
00:07:02:06 00:07:02:22
00:07:02:22 00:07:02:29		OLD5B*		altstadt
00:07:02:29 00:07:02:36
00:07:02:36 00:07:03:30		CITY2
00:07:03:30 00:07:03:41
00:07:03:41 00:07:03:49		$INDEX1
00:07:03:49 00:07:04:08
00:07:04:08 00:07:04:26		RESTAURANT1		restaurant
00:07:04:26 00:07:04:28
00:07:04:28 00:07:04:36
00:07:04:36 00:07:04:42		$INDEX1
00:07:04:42 00:07:04:48
00:07:04:48 00:07:05:09		BREMEN1*		bremen
00:07:05:09 00:07:05:16
00:07:05:16 00:07:05:28		UNDER1A^*		rat
00:07:05:28 00:07:05:38
00:07:05:38 00:07:05:48		$INDEX-ORAL1		ratskeller
00:07:05:48 00:07:06:07
00:07:06:07 00:07:06:24		UNDER1A^*
00:07:06:24 00:07:06:30
00:07:06:30 00:07:06:35	It is really good.
00:07:06:35 00:07:06:45		TO-FIND-STH-GREAT2
00:07:06:45 00:07:07:01	The guests are seated close by the wine barrels in little snugs.
00:07:07:01 00:07:07:27		HONEY2^*		wein
00:07:07:27 00:07:07:38
00:07:07:38 00:07:08:09		BARREL1		fass
00:07:08:09 00:07:08:14
00:07:08:14 00:07:09:00		ROUND4A^*		groß groß
00:07:09:00 00:07:09:06
00:07:09:06 00:07:09:24		TO-SIT1A*		sitz
00:07:09:24 00:07:09:29
00:07:09:29 00:07:09:37		THERE-IS3*
00:07:09:37 00:07:09:44
00:07:09:44 00:07:10:04		SOCIETY1*		gesellschaft
00:07:10:04 00:07:10:13
00:07:10:13 00:07:10:17		SMALL1A*		klein
00:07:10:17 00:07:10:20
00:07:10:20 00:07:10:39		$PROD
00:07:10:39 00:07:10:44	My parents made a reservation in advance and we sat there cosily.
00:07:10:44 00:07:11:02		PARENTS9B*		eltern
00:07:11:02 00:07:11:10
00:07:11:10 00:07:11:18		PAST-OR-BACK-THEN1*		früher
00:07:11:18 00:07:11:29
00:07:11:29 00:07:11:38		TO-MAKE-RESERVATIONS1		reservieren
00:07:11:38 00:07:12:01
00:07:12:01 00:07:12:15		$PROD
00:07:12:15 00:07:12:19
00:07:12:19 00:07:12:31		TO-ENJOY1*		gen{ießen}
00:07:12:31 00:07:12:36	The wine and the food taste brilliant.
00:07:12:36 00:07:13:03		WINE4		wein
00:07:13:03 00:07:13:21
00:07:13:21 00:07:13:36		TO-EAT-OR-FOOD1		es{sen}
00:07:13:36 00:07:13:48
00:07:13:48 00:07:14:23		TO-FIND-STH-GREAT2		[MG]
00:07:14:23 00:07:14:37
00:07:14:37 00:07:15:31
00:07:15:31 00:07:15:42	Bremen is also known for its beer.
00:07:15:42 00:07:16:03		BREMEN1*		bremen
00:07:16:03 00:07:16:11
00:07:16:11 00:07:16:20		FAMOUS1A		berühmt
00:07:16:20 00:07:16:27
00:07:16:27 00:07:16:40		OWN1B*		eigene
00:07:16:40 00:07:17:00
00:07:17:00 00:07:17:20		BEER1		bier
00:07:17:20 00:07:17:26
00:07:17:26 00:07:17:32	Beck’s.
00:07:17:32 00:07:18:19		$ALPHA1:B-E-C-K-S		becks
00:07:18:19 00:07:18:22
00:07:18:22 00:07:18:28	Right.
00:07:18:28 00:07:18:45		$GEST^
00:07:18:45 00:07:19:08
00:07:19:08 00:07:19:21	They have a big company on site.
00:07:19:21 00:07:19:29		BIG3B*		groß
00:07:19:29 00:07:19:38
00:07:19:38 00:07:19:48		STORE1*		firma
00:07:19:48 00:07:20:04
00:07:20:04 00:07:20:18		$GEST^
00:07:20:18 00:07:20:26
00:07:20:26 00:07:21:43
00:07:21:43 00:07:22:35	What else can I talk about?
00:07:22:35 00:07:23:04		$GEST^		[MG]
00:07:23:04 00:07:23:17									The Town Musicians of Bremen.
00:07:23:17 00:07:23:29
00:07:23:29 00:07:24:36
00:07:24:36 00:07:25:00	Yes, the famous fairy tale of the Town Musicians of Bremen: a donkey, a dog, a cat, and a cock.
00:07:25:00 00:07:25:11		YES2		ja
00:07:25:11 00:07:25:21
00:07:25:21 00:07:25:29		FAMOUS1A		berühmt
00:07:25:29 00:07:25:38
00:07:25:38 00:07:26:15		HISTORY-OR-STORY8		märchen
00:07:26:15 00:07:26:33
00:07:26:33 00:07:26:39		BREMEN1*		bremer stadtmusikanten
00:07:26:39 00:07:26:48
00:07:26:48 00:07:27:08		CITY2
00:07:27:08 00:07:27:16
00:07:27:16 00:07:28:00		MUSIC1
00:07:28:00 00:07:28:17
00:07:28:17 00:07:28:28		DONKEY1*	$NUM-ONE-TO-TEN1A:1d	esel
00:07:28:28 00:07:28:38
00:07:28:38 00:07:28:44		$LIST1:2of2d
00:07:28:44 00:07:29:07
00:07:29:07 00:07:29:16		DOG3*		hund
00:07:29:16 00:07:29:25
00:07:29:25 00:07:29:31		$LIST1:3of3d
00:07:29:31 00:07:29:37
00:07:29:37 00:07:29:49		CAT1A*		katze
00:07:29:49 00:07:30:18
00:07:30:18 00:07:30:39		COCK1	$NUM-ONE-TO-TEN1A:4d	hahn
00:07:30:39 00:07:31:00
00:07:31:00 00:07:31:16		$GEST-OFF1^
00:07:31:16 00:07:31:45
00:07:31:45 00:07:32:01	A famous fairy tale, an old tale.
00:07:32:01 00:07:32:11		FAMOUS1A		berühmt
00:07:32:11 00:07:32:18
00:07:32:18 00:07:33:03		HISTORY-OR-STORY8*		märchen
00:07:33:03 00:07:33:11
00:07:33:11 00:07:33:22		HISTORY-OR-STORY3*		geschich{te}
00:07:33:22 00:07:33:28
00:07:33:28 00:07:33:42		PAST-OR-BACK-THEN1*
00:07:33:42 00:07:34:06
00:07:34:06 00:07:34:11		$GEST-OFF1^
00:07:34:11 00:07:34:26
00:07:34:26 00:07:35:45
00:07:35:45 00:07:46:13									If you have friends form Southern Germany visiting you, what places should they be visiting?
00:07:46:13 00:07:46:26	First of all, a guided tour through the city center where the ‘Bremer Roland’, the cathedral, and ‘The Town Musicians of Bremen’ are located.
00:07:46:26 00:07:46:45		$LIST1:1of1d*
00:07:46:45 00:07:47:03
00:07:47:03 00:07:47:11		PARTICULARLY1A		[MG]
00:07:47:11 00:07:47:20
00:07:47:20 00:07:47:21
00:07:47:21 00:07:47:32		TO-LEAD1A		führen
00:07:47:32 00:07:47:44
00:07:47:44 00:07:48:06		AND2A
00:07:48:06 00:07:48:27
00:07:48:27 00:07:49:08		MIDDLE2B		mitte
00:07:49:08 00:07:49:16
00:07:49:16 00:07:50:38		ROLAND-MONUMENT1		roland
00:07:50:38 00:07:50:46
00:07:50:46 00:07:51:02		$LIST1:2of2d
00:07:51:02 00:07:51:17
00:07:51:17 00:07:51:49		SPIKY-AT-THE-TOP2A^		dom
00:07:51:49 00:07:52:05
00:07:52:05 00:07:52:23		$INDEX1*
00:07:52:23 00:07:52:34
00:07:52:34 00:07:52:43		$LIST1:2of2d
00:07:52:43 00:07:53:01
00:07:53:01 00:07:53:10		$LIST1:3of3d
00:07:53:10 00:07:53:17
00:07:53:17 00:07:53:25		CITY2		stadtmusikanten
00:07:53:25 00:07:53:36
00:07:53:36 00:07:54:01		MUSIC1*
00:07:54:01 00:07:54:07	The “Böttcherstraße” [Cooper Street] with the golden sword at its entrance, the “Ratskeller” [lit. council wine cellar], and of course the “Schnoor”.
00:07:54:07 00:07:54:15		$LIST1:4of4d
00:07:54:15 00:07:54:28
00:07:54:28 00:07:54:39		$INIT-STRAIGHT1^*		böttcherstraße
00:07:54:39 00:07:55:04
00:07:55:04 00:07:55:22		STREET1A
00:07:55:22 00:07:55:29
00:07:55:29 00:07:55:34		$INDEX1	STREET1A*
00:07:55:34 00:07:55:39
00:07:55:39 00:07:55:47		GOLD3B*		gold
00:07:55:47 00:07:56:06
00:07:56:06 00:07:56:35		BAT1B^*
00:07:56:35 00:07:56:43
00:07:56:43 00:07:57:19		$INDEX1
00:07:57:19 00:07:58:02
00:07:58:02 00:07:58:07		$INDEX1
00:07:58:07 00:07:58:19
00:07:58:19 00:07:58:25		COUNCIL1*		ratskeller
00:07:58:25 00:07:58:35
00:07:58:35 00:07:59:07		UNDER1A^*
00:07:59:07 00:07:59:18
00:07:59:18 00:07:59:25		I1
00:07:59:25 00:07:59:32
00:07:59:32 00:07:59:40		COUNCIL1*		ratskeller
00:07:59:40 00:08:00:01
00:08:00:01 00:08:00:10		UNDER1A^*
00:08:00:10 00:08:00:18
00:08:00:18 00:08:01:21		$ALPHA1:SCH-N-OO-R		schnoor
00:08:01:21 00:08:01:25
00:08:01:25 00:08:01:32	It is really beautiful there.
00:08:01:32 00:08:02:00		TO-FIND-STH-GREAT2
00:08:02:00 00:08:02:04
00:08:02:04 00:08:02:14	Too bad that it is so tiny.
00:08:02:14 00:08:02:30		TOO-BAD1*		schade
00:08:02:30 00:08:02:35
00:08:02:35 00:08:02:38		SMALL11*		[MG]
00:08:02:38 00:08:02:45
00:08:02:45 00:08:03:02		ONLY2A		nur
00:08:03:02 00:08:03:12
00:08:03:12 00:08:03:28		SMALL11		klein
00:08:03:28 00:08:03:33
00:08:03:33 00:08:03:40	But apart from that, those small alleys are great.
00:08:03:40 00:08:03:48		$INDEX1*
00:08:03:48 00:08:04:07
00:08:04:07 00:08:04:25		WAY3*	$PROD	straße
00:08:04:25 00:08:04:31
00:08:04:31 00:08:05:12		$ALPHA1:SCH-N-OO-R		schnoor
00:08:05:12 00:08:05:24
00:08:05:24 00:08:05:32		PARTICULARLY1A*		[MG]
00:08:05:32 00:08:05:34
00:08:05:34 00:08:05:43	I strongly recommend going in and have a seat in a café.
00:08:05:43 00:08:06:01		COFFEE2A		café
00:08:06:01 00:08:06:07
00:08:06:07 00:08:06:12		TO-SIT1A		sitz
00:08:06:12 00:08:06:21
00:08:06:21 00:08:06:32		IN2		in{nen}
00:08:06:32 00:08:06:37
00:08:06:37 00:08:06:49		TO-RECOMMEND1A		empfehlen
00:08:06:49 00:08:07:20
00:08:07:20 00:08:08:04		IN2*		in{nen} in{nen}
00:08:08:04 00:08:08:14
00:08:08:14 00:08:08:27	The houses look beautiful from the outside, as well.	OUTDOORS1A		au{ßen}
00:08:08:27 00:08:08:36
00:08:08:36 00:08:08:42		TO-LOOK1*
00:08:08:42 00:08:09:00
00:08:09:00 00:08:09:07		BEAUTIFUL1A		schön
00:08:09:07 00:08:09:15	But inside, the ceilings are quite low, the staircase is not even but all twisted and a little crooked.
00:08:09:15 00:08:09:32		IN2		innen
00:08:09:32 00:08:09:38
00:08:09:38 00:08:09:45		BEAUTIFUL1A*		sch{ön}
00:08:09:45 00:08:10:12
00:08:10:12 00:08:10:39		MEASURE8A^		klein
00:08:10:39 00:08:11:11
00:08:11:11 00:08:11:23		STAIRS1		treppe
00:08:11:23 00:08:11:33
00:08:11:33 00:08:11:41		PLANE3A^*
00:08:11:41 00:08:12:03
00:08:12:03 00:08:13:07		$PROD		form
00:08:13:07 00:08:13:15
00:08:13:15 00:08:13:44		$PROD		schief
00:08:13:44 00:08:14:12
00:08:14:12 00:08:14:16	That's what it looked like in the past.
00:08:14:16 00:08:14:25		OLD4A		alt
00:08:14:25 00:08:14:34
00:08:14:34 00:08:14:39		TIME5A*		zeit
00:08:14:39 00:08:15:03
00:08:15:03 00:08:15:37		$PROD		schief
00:08:15:37 00:08:15:47
00:08:15:47 00:08:16:15	The “Schnoor” is very lovely.
00:08:16:15 00:08:16:22		BEAUTIFUL1A		schö{n}
00:08:16:22 00:08:16:29
00:08:16:29 00:08:17:12		$ALPHA1:SCH-N-OO-R		schnoor
00:08:17:12 00:08:17:43
00:08:17:43 00:08:17:47	And the ‘Bürgerpark’.
00:08:17:47 00:08:18:00		AND5*
00:08:18:00 00:08:18:06
00:08:18:06 00:08:18:16		CITIZEN1		bürgerpark
00:08:18:16 00:08:18:25
00:08:18:25 00:08:18:35		PLANE1^
00:08:18:35 00:08:18:43
00:08:18:43 00:08:19:02		$INDEX1
00:08:19:02 00:08:19:05
00:08:19:05 00:08:19:14	You can take wonderful walks in the ‘Bürgerpark’.
00:08:19:14 00:08:19:20		BEAUTIFUL1A		sch{ön}
00:08:19:20 00:08:19:30
00:08:19:30 00:08:20:03		TO-GO-FOR-A-WALK3*		spazieren
00:08:20:03 00:08:20:18
00:08:20:18 00:08:20:27		CITIZEN1*		bürgerpark
00:08:20:27 00:08:20:36
00:08:20:36 00:08:21:09		PARK1A*
00:08:21:09 00:08:21:17
00:08:21:17 00:08:21:23		$GEST-OFF1^*
00:08:21:23 00:08:21:33
00:08:21:33 00:08:25:06
00:08:25:06 00:08:25:16	I recommend the “Blockland” to anyone who enjoys biking in the environs.
00:08:25:16 00:08:25:21		ALSO3A*
00:08:25:21 00:08:25:37
00:08:25:37 00:08:26:05		CURVE1*		umland
00:08:26:05 00:08:26:23
00:08:26:23 00:08:26:32		WITH1A		mit
00:08:26:32 00:08:26:38
00:08:26:38 00:08:26:46		WHO6A		wer
00:08:26:46 00:08:26:48
00:08:26:48 00:08:27:04		WITH1A		mit
00:08:27:04 00:08:27:07
00:08:27:07 00:08:27:27		BICYCLE1*		fahrrad
00:08:27:27 00:08:27:32
00:08:27:32 00:08:27:42		TO-RECOMMEND1A		empfehl
00:08:27:42 00:08:28:01
00:08:28:01 00:08:28:10		TO-THROW1^*		blockland
00:08:28:10 00:08:28:18
00:08:28:18 00:08:28:36		COUNTRY3B*
00:08:28:36 00:08:28:41
00:08:28:41 00:08:28:48	No, “Blockland” is signed differently.
00:08:28:48 00:08:29:11		BLOCK-THEME4		block
00:08:29:11 00:08:29:17
00:08:29:17 00:08:29:26		WRONG1		[MG]
00:08:29:26 00:08:29:31
00:08:29:31 00:08:29:37		I1
00:08:29:37 00:08:29:44
00:08:29:44 00:08:30:06		TO-SLIDE-OR-TO-PUSH2^		blockland
00:08:30:06 00:08:30:14
00:08:30:14 00:08:30:19		COUNTRY3B*
00:08:30:19 00:08:30:20
00:08:30:20 00:08:30:26	But it is great for biking.
00:08:30:26 00:08:30:45		$INDEX1*
00:08:30:45 00:08:30:49
00:08:30:49 00:08:31:03		BEAUTIFUL1B		sch{ön}
00:08:31:03 00:08:31:08
00:08:31:08 00:08:31:24		BICYCLE1*		fahrrad
00:08:31:24 00:08:31:32
00:08:31:32 00:08:31:35	There you can bike along the Weser, wait no, along the Wümme northwards from Bremen-Horn all the way to Ritterhude.
00:08:31:35 00:08:32:02		FROM-OR-BY-OR-OF2*		von
00:08:32:02 00:08:32:22
00:08:32:22 00:08:32:35		HORNS1A*		horn
00:08:32:35 00:08:33:01
00:08:33:01 00:08:33:13		UNTIL-OR-TO1*		bis
00:08:33:13 00:08:33:21
00:08:33:21 00:08:33:31		$CUED-SPEECH:R2		ritterhude
00:08:33:31 00:08:33:41
00:08:33:41 00:08:34:03		DOG3^*
00:08:34:03 00:08:34:16
00:08:34:16 00:08:34:36		FAR1
00:08:34:36 00:08:35:06
00:08:35:06 00:08:35:36		$PROD
00:08:35:36 00:08:35:43
00:08:35:43 00:08:35:49		VERY7^*		[MG]
00:08:35:49 00:08:36:02
00:08:36:02 00:08:36:08		EXHAUSTING5
00:08:36:08 00:08:36:17
00:08:36:17 00:08:37:01		RIVER1*		weser
00:08:37:01 00:08:37:10
00:08:37:10 00:08:37:42		$ALPHA1:W-U-NN-E		wümme
00:08:37:42 00:08:37:49
00:08:37:49 00:08:39:29		$PROD
00:08:39:29 00:08:39:40
00:08:39:40 00:08:40:41		$PROD
00:08:40:41 00:08:40:49
00:08:40:49 00:08:41:02	It is great.
00:08:41:02 00:08:41:13		BEAUTIFUL3		schön
00:08:41:13 00:08:41:25
00:08:41:25 00:08:42:31
00:08:42:31 00:08:42:36	If they were staying longer, I would recommend Bremerhaven, as well.
00:08:42:36 00:08:42:44		MAYBE1*		[MG]
00:08:42:44 00:08:43:05
00:08:43:05 00:08:43:09		IF-OR-WHEN1A		wenn
00:08:43:09 00:08:43:16
00:08:43:16 00:08:43:20		LONG-TEMPORAL4A*		la{nge}
00:08:43:20 00:08:43:25
00:08:43:25 00:08:43:36		FULL2C		voll
00:08:43:36 00:08:43:41
00:08:43:41 00:08:43:48		LONG-TEMPORAL4A		lang
00:08:43:48 00:08:44:01
00:08:44:01 00:08:44:09		TO-STAY2		bleib
00:08:44:09 00:08:44:16
00:08:44:16 00:08:44:21		I1
00:08:44:21 00:08:44:26
00:08:44:26 00:08:44:31		TO-RECOMMEND1A		em{pfehlung}
00:08:44:31 00:08:44:39
00:08:44:39 00:08:44:44		TO-LEAD1A		fü{hrung}
00:08:44:44 00:08:45:01
00:08:45:01 00:08:45:10		THERE1*
00:08:45:10 00:08:45:30
00:08:45:30 00:08:45:35		BREMEN1*		bremerhaven
00:08:45:35 00:08:45:43
00:08:45:43 00:08:46:04		HARBOUR2
00:08:46:04 00:08:46:07
00:08:46:07 00:08:46:21		WHAT1A
00:08:46:21 00:08:46:29
00:08:46:29 00:08:46:31	They have built the new “Klimahaus” [lit. climate house] there.
00:08:46:31 00:08:46:36		NOW3*		je{tzt}
00:08:46:36 00:08:46:38
00:08:46:38 00:08:46:44		NEW1A
00:08:46:44 00:08:46:48
00:08:46:48 00:08:47:07		SUPER3*		[MG]
00:08:47:07 00:08:47:12
00:08:47:12 00:08:47:22		$INDEX1
00:08:47:22 00:08:47:27
00:08:47:27 00:08:47:35		MUSEUM1*
00:08:47:35 00:08:47:40
00:08:47:40 00:08:47:49		CLIMATE1		klimahaus
00:08:47:49 00:08:48:08
00:08:48:08 00:08:48:17		HOUSE1B
00:08:48:17 00:08:48:26
00:08:48:26 00:08:48:40		$GEST^
00:08:48:40 00:08:48:46
00:08:48:46 00:08:49:06	The ‘Klimahaus’, the German Maritime Museum with several ships, and the ‘Zoo am Meer’ [Zoo next to the sea].	CLIMATE1		klimahaus
00:08:49:06 00:08:49:13
00:08:49:13 00:08:49:24		HOUSE1B
00:08:49:24 00:08:49:35
00:08:49:35 00:08:49:41		$LIST1:2of2d
00:08:49:41 00:08:49:49
00:08:49:49 00:08:50:06		GERMAN1*	$NUM-ONE-TO-TEN1A:2d	deutsch
00:08:50:06 00:08:50:13
00:08:50:13 00:08:50:17		SHIP1		schiff{fahrts}museum
00:08:50:17 00:08:50:23
00:08:50:23 00:08:50:38		MUSEUM1	$NUM-ONE-TO-TEN1A:2d
00:08:50:38 00:08:50:49
00:08:50:49 00:08:51:09		$LIST1:3of3d
00:08:51:09 00:08:51:13
00:08:51:13 00:08:51:18		OR1*
00:08:51:18 00:08:51:24
00:08:51:24 00:08:51:30		DIFFERENCE1B		unter{schied}
00:08:51:30 00:08:51:37
00:08:51:37 00:08:52:04		SHIP1		schiff
00:08:52:04 00:08:52:12
00:08:52:12 00:08:52:28		$ALPHA1:Z-O		zoo
00:08:52:28 00:08:52:33
00:08:52:33 00:08:52:38		ON-OR-AT1		am
00:08:52:38 00:08:52:48
00:08:52:48 00:08:53:10		OCEAN1B*		meer
00:08:53:10 00:08:53:17
00:08:53:17 00:08:53:33		$GEST^
00:08:53:33 00:08:54:03
00:08:54:03 00:08:55:43									What about this American house?
00:08:55:43 00:08:56:11	America?
00:08:56:11 00:08:56:28		AMERICA1*
00:08:56:28 00:08:56:30
00:08:56:30 00:08:56:36	Oh yes, the German Emigration Center.
00:08:56:36 00:08:56:45		YES2		[MG]
00:08:56:45 00:08:57:04
00:08:57:04 00:08:57:22		TO-HIKE1*		auswanderermuseum
00:08:57:22 00:08:57:30
00:08:57:30 00:08:57:44		MUSEUM1
00:08:57:44 00:08:58:00
00:08:58:00 00:08:58:35		$GEST^
00:08:58:35 00:08:59:16
00:08:59:16 00:08:59:33	The German Emigration Center is an amazing museum.
00:08:59:33 00:09:00:18		GREAT1A		[MG]
00:09:00:18 00:09:00:24
00:09:00:24 00:09:00:38		TO-HIKE1*		auswanderermuseum
00:09:00:38 00:09:00:44
00:09:00:44 00:09:01:22		MUSEUM1
00:09:01:22 00:09:01:32
00:09:01:32 00:09:02:06		GREAT1A		[MG]
00:09:02:06 00:09:02:16
00:09:02:16 00:09:02:38		TO-HIKE1*		auswanderermuseum
00:09:02:38 00:09:02:45
00:09:02:45 00:09:03:14		MUSEUM1
00:09:03:14 00:09:03:18
00:09:03:18 00:09:03:24	It is really to be recommended.
00:09:03:24 00:09:03:38		TO-RECOMMEND1A		empfehlen
00:09:03:38 00:09:03:40
00:09:03:40 00:09:03:46	You can learn a lot of interesting things about history there.
00:09:03:46 00:09:04:12		INTEREST1A		[MG]
00:09:04:12 00:09:04:22
00:09:04:22 00:09:04:37		HISTORY-OR-STORY3*		geschichte
00:09:04:37 00:09:05:02
00:09:05:02 00:09:05:16		INTEREST1A		[MG]
00:09:05:16 00:09:05:45
00:09:05:45 00:09:06:08	The “Zoo am Meer” - we talked about that one, and the “Klimahaus” is great, as well.
00:09:06:08 00:09:06:16		I1
00:09:06:16 00:09:06:31
00:09:06:31 00:09:06:43		$ALPHA1:Z-O		zo{o}
00:09:06:43 00:09:06:45
00:09:06:45 00:09:06:47		ON-OR-AT1*		am
00:09:06:47 00:09:07:06
00:09:07:06 00:09:07:16		PLANE3B^*		meer
00:09:07:16 00:09:08:27
00:09:08:27 00:09:08:34		NEW1A		neu
00:09:08:34 00:09:08:38
00:09:08:38 00:09:08:44		CLIMATE1*		klimahaus
00:09:08:44 00:09:09:01
00:09:09:01 00:09:09:16		HOUSE1B
00:09:09:16 00:09:09:25
00:09:09:25 00:09:09:30		MUSEUM1*		[MG]
00:09:09:30 00:09:09:37
00:09:09:37 00:09:10:10		GREAT1A		[MG]
00:09:10:10 00:09:10:15
00:09:10:15 00:09:10:23	The idea of the “Klimahaus“, I think, is a journey along the fifth longitude/
00:09:10:23 00:09:10:31		SUBJECT1		thema
00:09:10:31 00:09:10:49
00:09:10:49 00:09:11:10		$NUM-ONE-TO-TEN1A:5		fünf
00:09:11:10 00:09:11:18
00:09:11:18 00:09:11:33		DEGREE1B*
00:09:11:33 00:09:11:42
00:09:11:42 00:09:11:49		HOW-MUCH3A*		wie viel
00:09:11:49 00:09:12:02	Wait, am I stupid?
00:09:12:02 00:09:12:08		DUMB1B*		[MG]
00:09:12:08 00:09:12:10
00:09:12:10 00:09:12:21		I1
00:09:12:21 00:09:12:27	I think it was the fifth longitude, starting the journey on this longitude in Bremerhaven and continuing it around the world through its climatic zones.
00:09:12:27 00:09:12:32		$NUM-ONE-TO-TEN1A:5		fünf
00:09:12:32 00:09:12:39
00:09:12:39 00:09:12:48		DEGREE1A*
00:09:12:48 00:09:13:10
00:09:13:10 00:09:13:45		$PROD
00:09:13:45 00:09:14:01
00:09:14:01 00:09:14:13		SUBJECT1		thema
00:09:14:13 00:09:14:19
00:09:14:19 00:09:14:26		CLIMATE1*		klimahaus
00:09:14:26 00:09:14:32
00:09:14:32 00:09:14:37		HOUSE1B*
00:09:14:37 00:09:14:39
00:09:14:39 00:09:14:43		$INDEX1*
00:09:14:43 00:09:15:05
00:09:15:05 00:09:15:14		WORLD2*
00:09:15:14 00:09:15:23
00:09:15:23 00:09:15:29		BREMEN1*		bremerhaven
00:09:15:29 00:09:15:37
00:09:15:37 00:09:16:02		$INDEX1*
00:09:16:02 00:09:16:11
00:09:16:11 00:09:17:14		$PROD
00:09:17:14 00:09:17:26
00:09:17:26 00:09:17:33		CLIMATE1*		klima
00:09:17:33 00:09:17:39
00:09:17:39 00:09:17:47		DIFFERENCE1B*		untersch{iedlich}
00:09:17:47 00:09:18:02
00:09:18:02 00:09:19:01		CIRCLE2*
00:09:19:01 00:09:19:02
00:09:19:02 00:09:19:09	It is interesting.
00:09:19:09 00:09:19:21		INTEREST1A		[MG]
00:09:19:21 00:09:19:34
00:09:19:34 00:09:22:28
00:09:22:28 00:09:22:35	What else?
00:09:22:35 00:09:22:39		GOOD1		gut
00:09:22:39 00:09:22:47
00:09:22:47 00:09:23:12		$INDEX1
00:09:23:12 00:09:23:19
00:09:23:19 00:09:23:27		MORE1		mehr
00:09:23:27 00:09:24:03
00:09:24:03 00:09:27:02									Are there any famous companies in Bremen?
00:09:27:02 00:09:27:29	Sure, a famous company is Airbus - a company of Mercedes, Jacobs /
00:09:27:29 00:09:27:33		$GEST-TO-PONDER3^		[MG]
00:09:27:33 00:09:27:48
00:09:27:48 00:09:28:06		FAMOUS1A		ber{ühmt}
00:09:28:06 00:09:28:09
00:09:28:09 00:09:28:16
00:09:28:16 00:09:28:21		COMPANY1B		firma
00:09:28:21 00:09:28:43
00:09:28:43 00:09:29:08		$LIST1:1of1
00:09:29:08 00:09:29:24
00:09:29:24 00:09:30:22		AIRPORT2*		airbus
00:09:30:22 00:09:30:48
00:09:30:48 00:09:31:03		$LIST1:2of2d
00:09:31:03 00:09:31:22
00:09:31:22 00:09:31:39		$ORG-MERCEDES1*		mercedes
00:09:31:39 00:09:32:07
00:09:32:07 00:09:32:25		FACTORY6*		fabrik
00:09:32:25 00:09:32:38
00:09:32:38 00:09:32:45		$LIST1:3of3d
00:09:32:45 00:09:33:00
00:09:33:00 00:09:34:33		$ALPHA1:J-A-C-O-B-S		jacobs
00:09:34:33 00:09:34:46	What?				Beck’s.
00:09:34:46 00:09:35:23		$INDEX1				$ALPHA1:B-#-K		beck
00:09:35:23 00:09:35:31
00:09:35:31 00:09:35:35
00:09:35:35 00:09:36:05	Beck's is there, too. I 've already mentioned Jacobs.
00:09:36:05 00:09:36:26		BEER1		becks
00:09:36:26 00:09:36:33
00:09:36:33 00:09:36:35		$INDEX1
00:09:36:35 00:09:36:42
00:09:36:42 00:09:37:04		FACTORY6*		fabrik
00:09:37:04 00:09:37:14
00:09:37:14 00:09:37:22		RIGHT-OR-AGREED1A
00:09:37:22 00:09:37:29
00:09:37:29 00:09:37:35		$LIST1:4of4d
00:09:37:35 00:09:37:40
00:09:37:40 00:09:38:08		$ALPHA1:J-O-S		jacobs
00:09:38:08 00:09:38:19
00:09:38:19 00:09:38:29		$LIST1:4of4d
00:09:38:29 00:09:38:39
00:09:38:39 00:09:38:47		$LIST1:5of5*
00:09:38:47 00:09:39:05
00:09:39:05 00:09:39:28		$GEST^
00:09:39:28 00:09:39:36	Then there‘s Astrium, where Airbus and NASA work together.
00:09:39:36 00:09:40:42		$ALPHA1:A-S-T-R-I-U-M		astrium
00:09:40:42 00:09:41:06
00:09:41:06 00:09:41:17		ROCKET1B^		apollo
00:09:41:17 00:09:41:25
00:09:41:25 00:09:41:47		$ALPHA1:N-A-S-A*		nasa
00:09:41:47 00:09:42:02
00:09:42:02 00:09:42:07		TOGETHER3A		zusamm
00:09:42:07 00:09:42:12
00:09:42:12 00:09:42:36		TO-WORK1*		arbeit
00:09:42:36 00:09:42:44
00:09:42:44 00:09:42:47	Then there's the drop tower research at the University [of Bremen], which is about weight and pressure.
00:09:42:47 00:09:43:03		$LIST1:2of2d*
00:09:43:03 00:09:43:15
00:09:43:15 00:09:43:23		$INDEX1
00:09:43:23 00:09:44:07
00:09:44:07 00:09:44:19		CASE1		fallturm
00:09:44:19 00:09:44:32
00:09:44:32 00:09:44:45		TOWER1
00:09:44:45 00:09:44:48
00:09:44:48 00:09:45:04		$INDEX4
00:09:45:04 00:09:45:15
00:09:45:15 00:09:45:32		RESEARCH1A		forsch
00:09:45:32 00:09:45:40
00:09:45:40 00:09:46:03		WEIGHT2*		gewicht
00:09:46:03 00:09:46:09
00:09:46:09 00:09:46:31		PRESSURE1A		druck
00:09:46:31 00:09:46:45
00:09:46:45 00:09:46:48		$INDEX4
00:09:46:48 00:09:47:06
00:09:47:06 00:09:47:29		UNIVERSITY1		uni
00:09:47:29 00:09:47:36
00:09:47:36 00:09:47:49		$INDEX1
00:09:47:49 00:09:48:24
00:09:48:24 00:09:48:37	What other companies are there?
00:09:48:37 00:09:48:42		$LIST1:2of2d
00:09:48:42 00:09:49:28
00:09:49:28 00:09:49:41		COMPANY1B*		firma
00:09:49:41 00:09:50:16
00:09:50:16 00:09:50:26		$GEST^
00:09:50:26 00:09:50:36	OHB, they are concerned with astronautics, as well. They get bigger and bigger, they even take orders from Astrium.
00:09:50:36 00:09:51:28		$ALPHA1:O-H-B		o-h-b
00:09:51:28 00:09:51:35
00:09:51:35 00:09:51:43		ALSO1A*		auch
00:09:51:43 00:09:52:08
00:09:52:08 00:09:52:28		ABOVE1^		raumschiff
00:09:52:28 00:09:53:04
00:09:53:04 00:09:53:13		$INDEX1
00:09:53:13 00:09:53:20
00:09:53:20 00:09:53:34		$ALPHA1:O-H-B*		o-h-b
00:09:53:34 00:09:53:42
00:09:53:42 00:09:54:13		MORE3		mehr mehr mehr
00:09:54:13 00:09:54:22
00:09:54:22 00:09:54:28		TO-LINK1B^*		zusammen
00:09:54:28 00:09:54:33
00:09:54:33 00:09:54:48		TO-WORK1		arbeit
00:09:54:48 00:09:55:05
00:09:55:05 00:09:55:11		YES2
00:09:55:11 00:09:55:18
00:09:55:18 00:09:55:26		ASSIGNMENT1B		auftrag
00:09:55:26 00:09:55:41
00:09:55:41 00:09:56:09		BACK-AND-FORTH1*
00:09:56:09 00:09:56:21
00:09:56:21 00:09:56:38	Nothing is left concerning shipbuilding - all dockyards like the Bremer Vulkan [name of a big dockyard] are bankrupt.
00:09:56:38 00:09:57:20		$LIST1:1of1d
00:09:57:20 00:09:57:37
00:09:57:37 00:09:58:27		$GEST^
00:09:58:27 00:09:58:45
00:09:58:45 00:09:59:08		SHIP1		schiff
00:09:59:08 00:09:59:12
00:09:59:12 00:09:59:21		WHAT1A^
00:09:59:21 00:09:59:41
00:09:59:41 00:10:00:06		BROKEN4		[MG]
00:10:00:06 00:10:00:18
00:10:00:18 00:10:00:31		OVER-TEMPORAL1
00:10:00:31 00:10:01:00
00:10:01:00 00:10:01:10		SHIP1*		schiff
00:10:01:10 00:10:01:14
00:10:01:14 00:10:01:42		$ALPHA1:U-L-E*		vulkan
00:10:01:42 00:10:01:49
00:10:01:49 00:10:02:13		BROKEN4		[MG]
00:10:02:13 00:10:02:24
00:10:02:24 00:10:02:33		OVER-TEMPORAL1
00:10:02:33 00:10:02:36
00:10:02:36 00:10:03:29	Um.
00:10:03:29 00:10:05:48		$GEST^		[MG]
00:10:05:48 00:10:06:10
00:10:06:10 00:10:06:17	Another big company is Mercedes.	BIG3B*
00:10:06:17 00:10:06:23
00:10:06:23 00:10:06:26		COMPANY1A*
00:10:06:26 00:10:06:32
00:10:06:32 00:10:07:00		$ORG-MERCEDES1		merce{des}
00:10:07:00 00:10:07:03
00:10:07:03 00:10:08:16	Let me think.	$NUM-THOUSAND2
00:10:08:16 00:10:08:33	There are other well-known companies.
00:10:08:33 00:10:08:43		FAMOUS1A		be{rühmt}
00:10:08:43 00:10:09:02
00:10:09:02 00:10:09:11		COMPANY1B*		firma
00:10:09:11 00:10:09:20
00:10:09:20 00:10:10:04		PRESENT-OR-HERE1		da da
00:10:10:04 00:10:10:08
00:10:10:08 00:10:10:14		$GEST-OFF1^*
00:10:10:14 00:10:10:39	Um, I cannot remember any, but there are other famous companies.
00:10:10:39 00:10:13:23		$GEST-TO-PONDER3^*
00:10:13:23 00:10:13:30
00:10:13:30 00:10:13:35		TO-KNOW-STH2B*
00:10:13:35 00:10:14:00
00:10:14:00 00:10:14:43		NOTHING1A*
00:10:14:43 00:10:15:10
00:10:15:10 00:10:15:26		FAMOUS1A*		berühmt
00:10:15:26 00:10:15:36
00:10:15:36 00:10:15:41		COMPANY1B*		f{irma}
00:10:15:41 00:10:15:48
00:10:15:48 00:10:16:24		PRESENT-OR-HERE1
00:10:16:24 00:10:18:15
00:10:18:15 00:10:18:26	Big and small ones.				Kraft, it’s Kraft.
00:10:18:26 00:10:18:33		BIG3A		groß
00:10:18:33 00:10:19:01						FORCE2B		kraft
00:10:19:01 00:10:19:14		SMALL11		klein
00:10:19:14 00:10:19:18
00:10:19:18 00:10:20:18						$ALPHA1:K-R-A-F-T
00:10:20:18 00:10:20:21
00:10:20:21 00:10:21:12						FORCE2B		kraft
00:10:21:12 00:10:21:30	Kraft.
00:10:21:30 00:10:21:36		FORCE2A		kraft
00:10:21:36 00:10:22:03						$ALPHA1:K-R-A-F-T		kraft
00:10:22:03 00:10:22:07
00:10:22:07 00:10:22:09	I am not sure if their place of business is right downtown of Bremen.
00:10:22:09 00:10:22:15		$ALPHA1:K*
00:10:22:15 00:10:22:27
00:10:22:27 00:10:22:36		CENTRE1A*		zen{trum}
00:10:22:36 00:10:22:42
00:10:22:42 00:10:22:47		IN1*
00:10:22:47 00:10:23:02
00:10:23:02 00:10:23:10		BREMEN1*		bremen
00:10:23:10 00:10:23:13
00:10:23:13 00:10:23:21		I1
00:10:23:21 00:10:23:27
00:10:23:27 00:10:23:35		TO-KNOW-STH2B*
00:10:23:35 00:10:23:38
00:10:23:38 00:10:23:45		NOT5*
00:10:23:45 00:10:23:46
00:10:23:46 00:10:23:49	Right.
00:10:23:49 00:10:24:12		RIGHT-OR-AGREED1B		stimmt
00:10:24:12 00:10:24:18
00:10:24:18 00:10:24:21	Yes, right, I can remember the building with its logo.
00:10:24:21 00:10:24:26
00:10:24:26 00:10:24:32					They produce Milka chocolate, or something like that.
00:10:24:32 00:10:24:36						$INDEX1
00:10:24:36 00:10:24:39		TOWER1
00:10:24:39 00:10:24:48
00:10:24:48 00:10:25:11						CHOCOLATE2		schoko
00:10:25:11 00:10:25:19		COMPANY1A
00:10:25:19 00:10:25:23
00:10:25:23 00:10:25:30						TOGETHER3A^*		milka
00:10:25:30 00:10:25:33		YES2
00:10:25:33 00:10:25:40
00:10:25:40 00:10:26:04				CHOCOLATE2*
00:10:26:04 00:10:26:13
00:10:26:13 00:10:26:17
00:10:26:17 00:10:26:20	They belong to Jacobs.
00:10:26:20 00:10:26:28					$LIST1:2of2d*
00:10:26:28 00:10:26:30
00:10:26:30 00:10:26:34		TOGETHER1A*		zusammen zusammen
00:10:26:34 00:10:27:03					TO-EAT-OR-FOOD2*
00:10:27:03 00:10:27:08
00:10:27:08 00:10:27:13					TO-LIST1A*
00:10:27:13 00:10:27:21		YES2
00:10:27:21 00:10:27:25
00:10:27:25 00:10:27:33		$ALPHA1:J_2		jacobs
00:10:27:33 00:10:27:41			YES1A*
00:10:27:41 00:10:28:01
00:10:28:01 00:10:28:17		$ALPHA1:J-C-O-#-S		j-a-c-o-b-s
00:10:28:17 00:10:28:39			No, there is the Jacobs coffee, and there is Kraft. They are separate companies.
00:10:28:39 00:10:28:43
00:10:28:43 00:10:29:00							TO-BELONG1^*	jacobs kaffee
00:10:29:00 00:10:29:15	Jacobs and Milka belong to Kraft.
00:10:29:15 00:10:29:16		$INDEX1		TO-LIST1C*	jacobs
00:10:29:16 00:10:29:23
00:10:29:23 00:10:29:35						COFFEE2A
00:10:29:35 00:10:29:36
00:10:29:36 00:10:30:14						LOCATION1B^*
00:10:30:14 00:10:30:22		COFFEE2A			kaffee
00:10:30:22 00:10:30:26
00:10:30:26 00:10:30:30						ANOTHER2		nochein
00:10:30:30 00:10:30:36		$INDEX1
00:10:30:36 00:10:30:43
00:10:30:43 00:10:31:00						FORCE2B*		kraft
00:10:31:00 00:10:31:07
00:10:31:07 00:10:31:19						LOCATION1B^*
00:10:31:19 00:10:31:23		$INDEX1			jacobs
00:10:31:23 00:10:31:31
00:10:31:31 00:10:31:34		$ALPHA1:J_2
00:10:31:34 00:10:31:39				ANOTHER2			nochein
00:10:31:39 00:10:31:41
00:10:31:41 00:10:31:44
00:10:31:44 00:10:31:48						LOCATION1B^*
00:10:31:48 00:10:32:02		TO-BELONG1			gehört
00:10:32:02 00:10:32:08
00:10:32:08 00:10:32:12		CHOCOLATE2*
00:10:32:12 00:10:32:22
00:10:32:22 00:10:32:37		TO-MILK1C^		milka-schokolade
00:10:32:37 00:10:32:41
00:10:32:41 00:10:33:07		CHOCOLATE2
00:10:33:07 00:10:33:13
00:10:33:13 00:10:33:21		TO-BELONG1		gehört
00:10:33:21 00:10:33:38
00:10:33:38 00:10:34:23		FORCE2B		kraft
00:10:34:23 00:10:34:39	Jacobs does not have any chocolate?
00:10:34:39 00:10:34:44		$GEST^
00:10:34:44 00:10:35:06
00:10:35:06 00:10:35:13		$INDEX1
00:10:35:13 00:10:35:20
00:10:35:20 00:10:35:28
00:10:35:28 00:10:35:38		$ALPHA1:J_2		jacobs
00:10:35:38 00:10:35:45
00:10:35:45 00:10:36:01		ALSO1A*		auch
00:10:36:01 00:10:36:09
00:10:36:09 00:10:37:18		CHOCOLATE2		schokolade
00:10:37:18 00:10:37:21	There is something written on it.				But it must be something else.
00:10:37:21 00:10:37:24		$ALPHA1:M-I		mil{ka}
00:10:37:24 00:10:37:28			DIFFERENT1*			anders
00:10:37:28 00:10:37:30
00:10:37:30 00:10:37:35
00:10:37:35 00:10:38:20							TO-BELONG1^*
00:10:38:20 00:10:38:30		$PROD
00:10:38:30 00:10:39:01								Hachez!
00:10:39:01 00:10:39:11
00:10:39:11 00:10:39:38
00:10:39:38 00:10:39:49	Right, Hachez is a chocolate company here in Bremen. It is located in the new town.
00:10:39:49 00:10:40:15		$GEST^
00:10:40:15 00:10:40:17
00:10:40:17 00:10:40:20		OWN1B	$INDEX1	eigen
00:10:40:20 00:10:40:36
00:10:40:36 00:10:40:47		BREMEN1		bremen
00:10:40:47 00:10:41:01
00:10:41:01 00:10:41:08		CHOCOLATE2		schokolade
00:10:41:08 00:10:41:16
00:10:41:16 00:10:42:23		$ALPHA1:H-A-#-Z		hachez
00:10:42:23 00:10:42:32
00:10:42:32 00:10:43:00			$INDEX1
00:10:43:00 00:10:43:12
00:10:43:12 00:10:43:15		OWN1B*		eigen
00:10:43:15 00:10:43:20
00:10:43:20 00:10:43:29
00:10:43:29 00:10:43:38		BREMEN1*		bremen
00:10:43:38 00:10:43:39
00:10:43:39 00:10:44:04			$PROD
00:10:44:04 00:10:44:23
00:10:44:23 00:10:44:28		$ALPHA1:H	$PROD	hachez
00:10:44:28 00:10:44:48
00:10:44:48 00:10:45:11		$INDEX1
00:10:45:11 00:10:45:24
00:10:45:24 00:10:45:28		NEW1A		neustadt
00:10:45:28 00:10:45:35
00:10:45:35 00:10:45:42		CITY2
00:10:45:42 00:10:45:43
00:10:45:43 00:10:45:47	They produce typical chocolate from Bremen.
00:10:45:47 00:10:46:06		$INDEX1
00:10:46:06 00:10:46:21
00:10:46:21 00:10:46:27		OWN1B		eigen
00:10:46:27 00:10:46:37
00:10:46:37 00:10:47:00		TO-MIX4^		produkt
00:10:47:00 00:10:47:10
00:10:47:10 00:10:47:26		BREMEN1		bremen
00:10:47:26 00:10:47:35
00:10:47:35 00:10:48:04		CHOCOLATE2		schokolade
00:10:48:04 00:10:48:06
00:10:48:06 00:10:48:13	And Milka belongs to Jacobs.
00:10:48:13 00:10:48:19		TO-SAY1
00:10:48:19 00:10:48:23
00:10:48:23 00:10:48:28		DIFFERENT1		an{dere}
00:10:48:28 00:10:48:35
00:10:48:35 00:10:49:11		$ALPHA1:M-I-L-K-A		milka
00:10:49:11 00:10:49:17
00:10:49:17 00:10:49:20		TO-BELONG1^
00:10:49:20 00:10:49:24
00:10:49:24 00:10:49:41		$ALPHA1:J_2		jacobs
00:10:49:41 00:10:50:03
00:10:50:03 00:10:50:12		TO-BELONG1^
00:10:50:12 00:10:50:43
00:10:50:43 00:10:51:19	That's how it is, right.
00:10:51:19 00:10:51:33		$INDEX1*
00:10:51:33 00:10:51:45
00:10:51:45 00:10:52:02		$INDEX1*
00:10:52:02 00:10:52:31
00:10:52:31 00:10:53:44									Awesome.
00:10:53:44 00:10:55:20
00:10:55:20 00:10:57:00									Can you talk about your home now?
00:10:57:00 00:10:57:13					Yes, Osnabrück.
00:10:57:13 00:10:57:43						YES2
00:10:57:43 00:10:58:00
00:10:58:00 00:10:58:47						OSNABRÜCK1*		osnabrück
00:10:58:47 00:10:59:01
00:10:59:01 00:10:59:31									Well, let's hear it.
00:10:59:31 00:11:01:23
00:11:01:23 00:11:01:36					I have lived in Bremen for the last ten years, and I am quite rooted in.
00:11:01:36 00:11:01:44						HERE1		hier
00:11:01:44 00:11:02:29
00:11:02:29 00:11:02:45						ALREADY1A		schon
00:11:02:45 00:11:03:07
00:11:03:07 00:11:03:13						I1*
00:11:03:13 00:11:03:18
00:11:03:18 00:11:03:30						BREMEN1		bremen
00:11:03:30 00:11:03:38
00:11:03:38 00:11:04:19						YEAR1A*		zehn jahre
00:11:04:19 00:11:04:37
00:11:04:37 00:11:05:24						ROOT1B*		wurzel
00:11:05:24 00:11:05:34
00:11:05:34 00:11:06:02						SOLID1		[MG]
00:11:06:02 00:11:06:17
00:11:06:17 00:11:06:38					I was born and raised in Georgsmarienhütte near Osnabrück.
00:11:06:38 00:11:06:49						ROUND-THE-CORNER2^*		um
00:11:06:49 00:11:07:04
00:11:07:04 00:11:07:11						I1
00:11:07:11 00:11:07:20
00:11:07:20 00:11:07:36						BIRTH1A		[MG]
00:11:07:36 00:11:07:43
00:11:07:43 00:11:07:48						REALLY2*
00:11:07:48 00:11:08:05
00:11:08:05 00:11:08:17						OSNABRÜCK1		osnabrück
00:11:08:17 00:11:08:26
00:11:08:26 00:11:08:31						CLOSE-BY1B		[MG]
00:11:08:31 00:11:08:33
00:11:08:33 00:11:09:08						LOCATION3*		[MG]
00:11:09:08 00:11:09:19
00:11:09:19 00:11:09:43						$NAME		georgsmarienhütte
00:11:09:43 00:11:10:21
00:11:10:21 00:11:10:25						BIRTH1A*		aufgewachsen
00:11:10:25 00:11:10:32
00:11:10:32 00:11:11:11						TO-GROW-UP1A
00:11:11:11 00:11:11:14					The landscape is quite interesting.
00:11:11:14 00:11:11:37						$GEST^
00:11:11:37 00:11:11:43
00:11:11:43 00:11:12:02						WHAT-DOES-IT-LOOK-LIKE1*		wie sie{ht es} aus
00:11:12:02 00:11:12:10
00:11:12:10 00:11:12:14						HOW-QUESTION2*		wie
00:11:12:14 00:11:12:22
00:11:12:22 00:11:13:07						AREA1A		[MG]
00:11:13:07 00:11:13:20
00:11:13:20 00:11:13:33						INTEREST1A*		interessant
00:11:13:33 00:11:13:41
00:11:13:41 00:11:14:30						LANDSCAPE1*		landschaft
00:11:14:30 00:11:14:35					It is really hilly, and the landscape has a lightness to it.
00:11:14:35 00:11:16:22						$PROD		[MG]
00:11:16:22 00:11:16:33
00:11:16:33 00:11:18:17						EASY-OR-LIGHT1		leicht
00:11:18:17 00:11:18:23
00:11:18:23 00:11:18:27					The area to the north of Osnabrück is called ‘Wiehengebirge’, and to the south the ‘Teutoburger Wald’ is located.
00:11:18:27 00:11:18:49						FROM-OR-BY-OR-OF2*
00:11:18:49 00:11:19:09
00:11:19:09 00:11:19:23							NORTH1B	nord
00:11:19:23 00:11:19:32
00:11:19:32 00:11:19:44						NAME1A		name
00:11:19:44 00:11:19:49
00:11:19:49 00:11:20:43						$ALPHA1:W-I-E-N*		wiehengebirge
00:11:20:43 00:11:21:20						MOUNTAINS1*
00:11:21:20 00:11:21:44
00:11:21:44 00:11:22:08							SOUTH1B	süd
00:11:22:08 00:11:22:42
00:11:22:42 00:11:23:05							$ALPHA1:T	teutoburger wald
00:11:23:05 00:11:23:08
00:11:23:08 00:11:23:25							FOREST2A*
00:11:23:25 00:11:23:37
00:11:23:37 00:11:24:21						$PROD
00:11:24:21 00:11:24:27					Osnabrück is located in a valley in between those two areas.
00:11:24:27 00:11:24:47						$PROD		zwischen
00:11:24:47 00:11:25:01
00:11:25:01 00:11:25:16						OSNABRÜCK1*		osnabrück
00:11:25:16 00:11:25:26
00:11:25:26 00:11:25:38						COUNTRY2*		land
00:11:25:38 00:11:26:07
00:11:26:07 00:11:27:06						VALLEY1*		tal
00:11:27:06 00:11:27:12
00:11:27:12 00:11:27:30						OSNABRÜCK1*		osnabrück
00:11:27:30 00:11:27:36
00:11:27:36 00:11:27:46					The landscape is really beautiful.
00:11:27:46 00:11:28:03						BEAUTIFUL1A		schö{n}
00:11:28:03 00:11:28:10
00:11:28:10 00:11:28:36						LANDSCAPE1*		landschaft
00:11:28:36 00:11:28:42					Especially during summer or fall, when the forest looks particularly beautiful.
00:11:28:42 00:11:29:04						PARTICULARLY1A		besonders
00:11:29:04 00:11:29:08
00:11:29:08 00:11:29:13						IN1		im
00:11:29:13 00:11:29:23
00:11:29:23 00:11:30:03						SUMMER9		sommer
00:11:30:03 00:11:30:16
00:11:30:16 00:11:30:25						$ORAL^		oder
00:11:30:25 00:11:30:27
00:11:30:27 00:11:30:42						AUTUMN1A		herbst
00:11:30:42 00:11:31:22
00:11:31:22 00:11:31:30						PARTICULARLY1A		besonders
00:11:31:30 00:11:31:38
00:11:31:38 00:11:32:25						FOREST5*		wald
00:11:32:25 00:11:32:46
00:11:32:46 00:11:33:04						BEAUTIFUL1A		schön
00:11:33:04 00:11:33:10
00:11:33:10 00:11:33:19						FOREST5*		wald
00:11:33:19 00:11:33:29					You can take wonderful walks there, go hiking or biking.
00:11:33:29 00:11:33:40						TO-GO-FOR-A-WALK2B*
00:11:33:40 00:11:33:45
00:11:33:45 00:11:34:13						TO-HIKE2*		wandern
00:11:34:13 00:11:34:19
00:11:34:19 00:11:34:28						SUPER2*		[MG]
00:11:34:28 00:11:34:41
00:11:34:41 00:11:35:26						TO-STEP-PEDAL3^		mountainbike
00:11:35:26 00:11:35:31
00:11:35:31 00:11:35:39							$PROD
00:11:35:39 00:11:36:08
00:11:36:08 00:11:36:30						SUPER2*		[MG]
00:11:36:30 00:11:36:42					It is nice to cruise around the region of Osnabrück with a motorcycle, because of the surrounding landscape and the winding roads.
00:11:36:42 00:11:37:07						MOTORCYCLE1A*		motorradtour
00:11:37:07 00:11:37:16
00:11:37:16 00:11:38:03						JOURNEY1C^
00:11:38:03 00:11:38:18
00:11:38:18 00:11:38:38						$INDEX1*
00:11:38:38 00:11:38:44
00:11:38:44 00:11:39:09						OSNABRÜCK1*		os{nabrück}
00:11:39:09 00:11:39:16
00:11:39:16 00:11:39:24						$GEST^
00:11:39:24 00:11:39:31
00:11:39:31 00:11:40:03						$INDEX1
00:11:40:03 00:11:40:06
00:11:40:06 00:11:40:11						OSNABRÜCK1*
00:11:40:11 00:11:40:14
00:11:40:14 00:11:40:20						$GEST^
00:11:40:20 00:11:40:27
00:11:40:27 00:11:41:29						$INDEX1*		landkreis
00:11:41:29 00:11:41:37						MOTORCYCLE1A*		motorradtour
00:11:41:37 00:11:41:44
00:11:41:44 00:11:41:49						JOURNEY1B^
00:11:41:49 00:11:42:06
00:11:42:06 00:11:42:32						SUPER2	$INDEX1*	[MG]
00:11:42:32 00:11:42:48
00:11:42:48 00:11:43:25						$PROD		kurven
00:11:43:25 00:11:43:38
00:11:43:38 00:11:44:06						BEAUTIFUL1A*		schön
00:11:44:06 00:11:44:25
00:11:44:25 00:11:47:07
00:11:47:07 00:11:48:05					There is a landmark of the Roman Age in Detmold.	$GEST^
00:11:48:05 00:11:48:17
00:11:48:17 00:11:48:22						PAST-OR-BACK-THEN2*
00:11:48:22 00:11:48:33
00:11:48:33 00:11:48:47						TIME5A*		zeit
00:11:48:47 00:11:49:02
00:11:49:02 00:11:49:44						ROME1		römer
00:11:49:44 00:11:50:08
00:11:50:08 00:11:50:16						TO-SEE1		sehenswürdigkeiten
00:11:50:16 00:11:50:18
00:11:50:18 00:11:50:45						$ALPHA1:W
00:11:50:45 00:11:51:04
00:11:51:04 00:11:51:05						$INDEX1
00:11:51:05 00:11:51:10
00:11:51:10 00:11:51:21						WHERE1A		wo
00:11:51:21 00:11:51:42
00:11:51:42 00:11:52:35						DETMOLD-$CANDIDATE-HB18^		detmold
00:11:52:35 00:11:53:01
00:11:53:01 00:11:53:30						$INDEX1
00:11:53:30 00:11:53:34					Well, it is not directly located in the village.
00:11:53:34 00:11:53:39						REALLY2*
00:11:53:39 00:11:54:00
00:11:54:00 00:11:54:09						LOCATION3*		ort
00:11:54:09 00:11:54:15
00:11:54:15 00:11:54:19						RIGHT-OR-CORRECT1B*
00:11:54:19 00:11:54:29
00:11:54:29 00:11:54:44							$INDEX1
00:11:54:44 00:11:55:34						NO1A*
00:11:55:34 00:11:55:36
00:11:55:36 00:11:55:46					They discovered some remains of the Roman Age while doing some archeological excavations.
00:11:55:46 00:11:56:06						TO-FIND1B*		gefunden
00:11:56:06 00:11:56:14
00:11:56:14 00:11:56:28						RESEARCH1A*		forsch
00:11:56:28 00:11:56:35
00:11:56:35 00:11:57:30						$INDEX1*		[MG]
00:11:57:30 00:11:57:33
00:11:57:33 00:11:57:44					Most of the finds are located north-west of Bramsche.
00:11:57:44 00:11:58:14						CLOSE-BY1B*		[MG]
00:11:58:14 00:11:58:39
00:11:58:39 00:11:59:00						OSNABRÜCK1	$INDEX1	osnabrücker
00:11:59:00 00:11:59:04
00:11:59:04 00:11:59:13						$ALPHA1:E-R
00:11:59:13 00:11:59:26
00:11:59:26 00:11:59:35						$CUED-SPEECH:SCH1	$PROD	bramsche
00:11:59:35 00:11:59:40
00:11:59:40 00:12:00:23						$PROD
00:12:00:23 00:12:00:30
00:12:00:30 00:12:01:02						$INDEX1
00:12:01:02 00:12:01:03
00:12:01:03 00:12:01:19					They actually found a lot of different fragments from the Romans.
00:12:01:19 00:12:01:25						REALLY2		[MG]
00:12:01:25 00:12:01:31
00:12:01:31 00:12:01:35						MUCH1C*		viel
00:12:01:35 00:12:01:43
00:12:01:43 00:12:02:14						TO-FIND1B*		gefunden
00:12:02:14 00:12:02:25
00:12:02:25 00:12:02:36						PART1A		teil
00:12:02:36 00:12:02:42
00:12:02:42 00:12:03:08						HISTORY-OR-STORY3*		geschichte
00:12:03:08 00:12:03:12
00:12:03:12 00:12:03:44							PAST-OR-BACK-THEN1*
00:12:03:44 00:12:03:48
00:12:03:48 00:12:04:01						FOR1
00:12:04:01 00:12:04:18
00:12:04:18 00:12:04:32						TO-STAB8^*		römer
00:12:04:32 00:12:05:03
00:12:05:03 00:12:05:24						ROME1		römer
00:12:05:24 00:12:05:28
00:12:05:28 00:12:05:39					You should take a look at it.
00:12:05:39 00:12:06:01						TO-RECOMMEND1C*		empfehl
00:12:06:01 00:12:06:06
00:12:06:06 00:12:06:12						ALSO1A*		auch
00:12:06:12 00:12:06:21
00:12:06:21 00:12:06:37						TO-SEE1		sehen
00:12:06:37 00:12:06:47
00:12:06:47 00:12:07:13						TO-FIND-STH-GREAT2*	$INDEX1	[MG]
00:12:07:13 00:12:07:21
00:12:07:21 00:12:07:28					The museum grows bigger constantly.
00:12:07:28 00:12:07:35						$INDEX1
00:12:07:35 00:12:08:01
00:12:08:01 00:12:08:09						MUSEUM1*		museum
00:12:08:09 00:12:08:17
00:12:08:17 00:12:09:23						BIG3A*		größer größer größer
00:12:09:23 00:12:09:28
00:12:09:28 00:12:09:33					Even though I haven't seen it myself, either.
00:12:09:33 00:12:09:38						I1		obwohl
00:12:09:38 00:12:09:42
00:12:09:42 00:12:10:00						ALTHOUGH1*
00:12:10:00 00:12:10:06
00:12:10:06 00:12:10:19						SELF1A		selbst
00:12:10:19 00:12:10:27
00:12:10:27 00:12:10:37						ALONE1A^		noch nie
00:12:10:37 00:12:10:43
00:12:10:43 00:12:11:12						TO-SEE1		sehen
00:12:11:12 00:12:11:16
00:12:11:16 00:12:11:30						$GEST^
00:12:11:30 00:12:11:36					I am desperate to look at it soon.
00:12:11:36 00:12:11:43						MUST1*		muss mal
00:12:11:43 00:12:11:46
00:12:11:46 00:12:12:16						TO-LOOK1		mal schauen
00:12:12:16 00:12:12:29
00:12:12:29 00:12:12:38							$INDEX1
00:12:12:38 00:12:12:49
00:12:12:49 00:12:13:16						TO-FIND-STH-GREAT2*		[MG]
00:12:13:16 00:12:13:20
00:12:13:20 00:12:13:32						$GEST^
00:12:13:32 00:12:14:07
00:12:14:07 00:12:14:16					A large company is called ‘Karmann’.
00:12:14:16 00:12:14:34						BIG3B		groß
00:12:14:34 00:12:14:47
00:12:14:47 00:12:15:16						COMPANY1B		firma
00:12:15:16 00:12:15:31
00:12:15:31 00:12:15:36						EXAMPLE1*		beispiel
00:12:15:36 00:12:15:42
00:12:15:42 00:12:16:15						$ALPHA1:K-A-R*		karmann
00:12:16:15 00:12:16:28
00:12:16:28 00:12:16:44						MAN1*
00:12:16:44 00:12:17:29
00:12:17:29 00:12:17:36					VW has taken them over by now.
00:12:17:36 00:12:17:44						NOW1		jetzt
00:12:17:44 00:12:18:33
00:12:18:33 00:12:18:49						$ALPHA1:V-W		v-w
00:12:18:49 00:12:19:05
00:12:19:05 00:12:20:17						TO-UNDERTAKE1*		[MG]
00:12:20:17 00:12:20:22
00:12:20:22 00:12:20:26						NOW1
00:12:20:26 00:12:20:29
00:12:20:29 00:12:20:42						$ALPHA1:V-W		v-w
00:12:20:42 00:12:21:00
00:12:21:00 00:12:21:10					Thankfully, the company is still running.
00:12:21:10 00:12:21:24						$GEST^		[MG]
00:12:21:24 00:12:21:26
00:12:21:26 00:12:21:37						FURTHER1A		weiter
00:12:21:37 00:12:21:43
00:12:21:43 00:12:21:49						TO-RUN-MACHINE1*		läuft
00:12:21:49 00:12:22:06
00:12:22:06 00:12:22:13						STILL4A		noch
00:12:22:13 00:12:22:22
00:12:22:22 00:12:22:29						COMPANY1B		firma
00:12:22:29 00:12:22:31
00:12:22:31 00:12:22:39						$ALPHA1:K		karmann
00:12:22:39 00:12:22:43
00:12:22:43 00:12:23:01						THERE-IS3*
00:12:23:01 00:12:23:24
00:12:23:24 00:12:23:37					Of course, there is soccer, as well - the VfL Osnabrück.
00:12:23:37 00:12:24:16						$LIST1:2of2d		[MG]
00:12:24:16 00:12:24:27
00:12:24:27 00:12:25:03						OBJECT-ON-CLOTHES1A^		v-f-l
00:12:25:03 00:12:25:17
00:12:25:17 00:12:25:43						FOOTBALL1A		fußball
00:12:25:43 00:12:26:07
00:12:26:07 00:12:26:20						$GEST^
00:12:26:20 00:12:26:32
00:12:26:32 00:12:26:38	What are you talking about?
00:12:26:38 00:12:26:49
00:12:26:49 00:12:27:09		OBJECT-ON-CLOTHES1A^
00:12:27:09 00:12:27:19				The VfL.
00:12:27:19 00:12:27:47					$ALPHA1:V-F-L		v-f-l
00:12:27:47 00:12:28:07
00:12:28:07 00:12:28:15
00:12:28:15 00:12:28:22	Pah, the third division.
00:12:28:22 00:12:28:32		$GEST-DECLINE1^				FOOTBALL1A		fußball
00:12:28:32 00:12:29:02
00:12:29:02 00:12:29:09		$NUM-ORDINAL1:3d			dritte
00:12:29:09 00:12:29:10
00:12:29:10 00:12:29:14
00:12:29:14 00:12:29:23		LEAGUE1A*		bundesliga
00:12:29:23 00:12:29:31
00:12:29:31 00:12:29:41		$GEST^
00:12:29:41 00:12:30:01
00:12:30:01 00:12:30:14					It doesn't matter, even if they are in the third division.
00:12:30:14 00:12:30:33						$GEST-DECLINE1^		macht nichts
00:12:30:33 00:12:30:39
00:12:30:39 00:12:30:44						$NUM-ORDINAL1:3d*		dritte
00:12:30:44 00:12:30:49
00:12:30:49 00:12:31:11						LEAGUE1A*		liga
00:12:31:11 00:12:31:23					Nevertheless, I am proud of the VfL.
00:12:31:23 00:12:31:29						PROUD1		stolz
00:12:31:29 00:12:31:42
00:12:31:42 00:12:32:00						I1
00:12:32:00 00:12:32:18
00:12:32:18 00:12:34:32
00:12:34:32 00:12:34:46					The historic city center is really great, as well. Obviously, it is quite small.
00:12:34:46 00:12:35:06						$INDEX1
00:12:35:06 00:12:35:36
00:12:35:36 00:12:35:45						OLD5A		altstadt
00:12:35:45 00:12:36:06
00:12:36:06 00:12:36:26						CITY2*
00:12:36:26 00:12:36:32
00:12:36:32 00:12:36:37						ALSO3A		auch
00:12:36:37 00:12:36:49
00:12:36:49 00:12:37:18						BEAUTIFUL3*		schön
00:12:37:18 00:12:38:03
00:12:38:03 00:12:39:07						SMALL11*		klein
00:12:39:07 00:12:39:08
00:12:39:08 00:12:39:13					Even though, it is tiny, there is a lot to be seen.
00:12:39:13 00:12:39:18						ALSO1A		auch
00:12:39:18 00:12:39:23
00:12:39:23 00:12:39:42						SMALL11*		klein
00:12:39:42 00:12:40:11
00:12:40:11 00:12:40:24						MUCH1C		viel
00:12:40:24 00:12:40:31
00:12:40:31 00:12:41:03						TO-SEE1*		zu sehen
00:12:41:03 00:12:41:18
00:12:41:18 00:12:41:35					A few special features.
00:12:41:35 00:12:41:44						NOT3A		nicht
00:12:41:44 00:12:42:01
00:12:42:01 00:12:42:09						MUCH1C		viel
00:12:42:09 00:12:42:20
00:12:42:20 00:12:42:36						PARTICULARLY1A*		besonders
00:12:42:36 00:12:42:41
00:12:42:41 00:12:42:47					The town hall is nice.
00:12:42:47 00:12:43:30						$ALPHA1:R		rathaus
00:12:43:30 00:12:43:38
00:12:43:38 00:12:44:03						HOUSE1A*
00:12:44:03 00:12:44:17
00:12:44:17 00:12:44:22						BEAUTIFUL1A		schö{n}
00:12:44:22 00:12:44:30
00:12:44:30 00:12:45:22						ROUND-BALL1^*		groß
00:12:45:22 00:12:45:33
00:12:45:33 00:12:45:37					Three-fourth of Osnabrück were destroyed during World War II.
00:12:45:37 00:12:46:00						OSNABRÜCK1*		osnabrück
00:12:46:00 00:12:46:13
00:12:46:13 00:12:46:32						RIGHT-OR-AGREED1^*
00:12:46:32 00:12:46:47
00:12:46:47 00:12:47:07						APPROXIMATELY2*		ungefähr
00:12:47:07 00:12:47:17
00:12:47:17 00:12:47:24						$NUM-NUMERATOR1:3d*		dreiviertel
00:12:47:24 00:12:47:34
00:12:47:34 00:12:48:09						$NUM-DENOMINATOR1:4*
00:12:48:09 00:12:48:25
00:12:48:25 00:12:49:12						TO-DESTROY1*		zerstört
00:12:49:12 00:12:49:28
00:12:49:28 00:12:50:03						GONE-VANISHED3		weg
00:12:50:03 00:12:50:07
00:12:50:07 00:12:50:29						$NUM-ORDINAL1:2d*		zweiten weltkrieg
00:12:50:29 00:12:50:36
00:12:50:36 00:12:51:22						WAR1A*
00:12:51:22 00:12:52:03
00:12:52:03 00:12:52:08					That's too bad.
00:12:52:08 00:12:52:49						TOO-BAD1
00:12:52:49 00:12:53:17
00:12:53:17 00:12:54:13					There is a “Ratskeller” next to the town hall.
00:12:54:13 00:12:54:19						AND5		und
00:12:54:19 00:12:54:23
00:12:54:23 00:12:54:29						OLD5A*		a{lt}
00:12:54:29 00:12:54:36
00:12:54:36 00:12:55:01						$ALPHA1:R		rathaus
00:12:55:01 00:12:55:05
00:12:55:05 00:12:55:09						HOUSE1A*
00:12:55:09 00:12:55:20
00:12:55:20 00:12:55:25						$ALPHA1:R*		ratskeller
00:12:55:25 00:12:55:37
00:12:55:37 00:12:56:06						CELLAR1*
00:12:56:06 00:12:56:30
00:12:56:30 00:12:56:43							$INDEX1	[MG]
00:12:56:43 00:12:57:02
00:12:57:02 00:12:57:06						I1
00:12:57:06 00:12:57:17
00:12:57:17 00:12:57:43						SMALL6*		klein
00:12:57:43 00:12:58:08
00:12:58:08 00:12:58:20						SWEET1		süß
00:12:58:20 00:12:58:24
00:12:58:24 00:12:58:33					They have really good food.
00:12:58:33 00:12:58:46						TO-EAT-OR-FOOD2*		essen
00:12:58:46 00:12:59:11
00:12:59:11 00:13:00:01							TASTY1*	lecker
00:13:00:01 00:13:00:10					And all sorts of great wine.
00:13:00:10 00:13:00:19						TO-SWAY1^
00:13:00:19 00:13:00:25
00:13:00:25 00:13:00:35						TO-DRINK1		wein
00:13:00:35 00:13:00:39
00:13:00:39 00:13:00:45						ALSO1A		auch
00:13:00:45 00:13:01:06
00:13:01:06 00:13:01:20						TASTY1*		lecker
00:13:01:20 00:13:01:34
00:13:01:34 00:13:01:47						DISTINCT1		verschieden
00:13:01:47 00:13:02:03
00:13:02:03 00:13:02:37						SORT1*		sortiert
00:13:02:37 00:13:02:41
00:13:02:41 00:13:03:10					But the “Ratskeller” is quite small.
00:13:03:10 00:13:04:02						SMALL6*		klein
00:13:04:02 00:13:04:18
00:13:04:18 00:13:04:46						$GEST^
00:13:04:46 00:13:05:03
00:13:05:03 00:13:05:14					The town hall is quite big, actually. Still, the civil registry office is located next door.
00:13:05:14 00:13:05:22						$ALPHA1:R		rathaus
00:13:05:22 00:13:05:44
00:13:05:44 00:13:06:23						BIG3B
00:13:06:23 00:13:06:30
00:13:06:30 00:13:06:37						NO1A*		[MG]
00:13:06:37 00:13:07:03
00:13:07:03 00:13:07:16						RING1A^*		standes{amt}
00:13:07:16 00:13:07:28
00:13:07:28 00:13:07:40						TO-MARRY3A*		heirat
00:13:07:40 00:13:07:49
00:13:07:49 00:13:08:02							$INDEX1
00:13:08:02 00:13:08:22						NO1A*		[MG]
00:13:08:22 00:13:08:26
00:13:08:26 00:13:08:31						GREAT1A*		toll
00:13:08:31 00:13:08:46
00:13:08:46 00:13:09:09						NEXT-TO1A*
00:13:09:09 00:13:09:15
00:13:09:15 00:13:09:31						NEXT-TO2		[MG]
00:13:09:31 00:13:09:34
00:13:09:34 00:13:10:03						NEXT-TO1B*		[MG]
00:13:10:03 00:13:10:12
00:13:10:12 00:13:10:21						RING1A^*		standesamt
00:13:10:21 00:13:10:39
00:13:10:39 00:13:11:07						TO-MARRY3A*		heiraten
00:13:11:07 00:13:11:28
00:13:11:28 00:13:11:38						$INDEX1
00:13:11:38 00:13:11:43
00:13:11:43 00:13:12:04					The cathedral is located next to it.
00:13:12:04 00:13:12:39						NEXT-TO1A*		[MG]
00:13:12:39 00:13:13:36
00:13:13:36 00:13:13:49						TO-PRAY1A^		dom
00:13:13:49 00:13:14:16
00:13:14:16 00:13:14:42						CATHEDRAL1*
00:13:14:42 00:13:15:11
00:13:15:11 00:13:15:16						TO-DIVIDE-IN1A^*
00:13:15:16 00:13:16:08
00:13:16:08 00:13:16:17					Osnabrück has lots of churches, Catholic as well as Protestant ones.
00:13:16:17 00:13:16:29						OSNABRÜCK1		osnabrück
00:13:16:29 00:13:16:36
00:13:16:36 00:13:16:42						TO-HAVE-TO-OWN1*		hat
00:13:16:42 00:13:17:03
00:13:17:03 00:13:17:23						MUCH1A		viele
00:13:17:23 00:13:17:35
00:13:17:35 00:13:18:04						CHURCH2B		kirchen
00:13:18:04 00:13:18:20
00:13:18:20 00:13:19:04						$PROD		[MG]
00:13:19:04 00:13:19:16
00:13:19:16 00:13:19:45						CATHOLIC1B*		katholisch kathol{isch}
00:13:19:45 00:13:20:19
00:13:20:19 00:13:21:04						LUTHERAN3		evangelisch evangelisch
00:13:21:04 00:13:21:22
00:13:21:22 00:13:21:39						$PROD		[MG]
00:13:21:39 00:13:22:05
00:13:22:05 00:13:22:25						MUCH1A		viel
00:13:22:25 00:13:22:32
00:13:22:32 00:13:22:37					A peculiarity relates to the Thirty Years' War.
00:13:22:37 00:13:22:48						$GEST^		und
00:13:22:48 00:13:23:04
00:13:23:04 00:13:23:33						PARTICULARLY1A*		besonders
00:13:23:33 00:13:23:42
00:13:23:42 00:13:24:28						WHAT1B		was
00:13:24:28 00:13:25:11
00:13:25:11 00:13:26:13						$NUM-TENS2A:3d		dreißig
00:13:26:13 00:13:26:19
00:13:26:19 00:13:28:00						YEAR2B		jahre
00:13:28:00 00:13:28:05
00:13:28:05 00:13:28:39						WAR1A*		krieg
00:13:28:39 00:13:28:43
00:13:28:43 00:13:29:04					A treaty of peace was concluded between Münsterland and the city of Osnabrück.
00:13:29:04 00:13:29:22						BETWEEN1B		zwischen
00:13:29:22 00:13:29:33
00:13:29:33 00:13:29:39						MÜNSTER1*		münsterland
00:13:29:39 00:13:29:47
00:13:29:47 00:13:30:11						COUNTRY3A*
00:13:30:11 00:13:30:28
00:13:30:28 00:13:30:39						AND2A		und
00:13:30:39 00:13:30:48
00:13:30:48 00:13:31:10							OSNABRÜCK1*	osnabrück
00:13:31:10 00:13:31:19
00:13:31:19 00:13:31:36						WAR1A		krieg
00:13:31:36 00:13:31:47
00:13:31:47 00:13:32:01						AND6*		und
00:13:32:01 00:13:32:12
00:13:32:12 00:13:32:23						PEACE1		friedensvertrag
00:13:32:23 00:13:32:35
00:13:32:35 00:13:33:33						CONTRACT1A
00:13:33:33 00:13:33:41
00:13:33:41 00:13:33:47					Peace between them was special for both of them.
00:13:33:47 00:13:34:31						PARTICULARLY1A		besonders
00:13:34:31 00:13:34:44
00:13:34:44 00:13:35:13						PEACE1		frieden
00:13:35:13 00:13:35:41
00:13:35:41 00:13:35:48						FOR1		für
00:13:35:48 00:13:36:03
00:13:36:03 00:13:36:14						OSNABRÜCK1*		osnabrück
00:13:36:14 00:13:36:28
00:13:36:28 00:13:36:39						AND2A		und
00:13:36:39 00:13:37:07
00:13:37:07 00:13:37:13						MÜNSTER1*		münsterland
00:13:37:13 00:13:37:22
00:13:37:22 00:13:37:31						PLANE3A^*
00:13:37:31 00:13:37:39
00:13:37:39 00:13:38:41						BOTH2A		beide
00:13:38:41 00:13:39:24
00:13:39:24 00:13:40:44
00:13:40:44 00:13:41:23					There are many castles and moats within the environ of Osnabrück, especially in the North.
00:13:41:23 00:13:41:32							COUNTRY3A*	land
00:13:41:32 00:13:42:19						AREA1A*
00:13:42:19 00:13:42:33
00:13:42:33 00:13:42:48						NORTH1B*		nord
00:13:42:48 00:13:43:07
00:13:43:07 00:13:43:38						AREA1A*
00:13:43:38 00:13:43:48
00:13:43:48 00:13:44:05						PAIR-OF-COMPASSES1B^*		umkreis
00:13:44:05 00:13:44:12
00:13:44:12 00:13:44:43							$INDEX1*
00:13:44:43 00:13:45:03
00:13:45:03 00:13:45:15							MUCH1B*	viel
00:13:45:15 00:13:45:22
00:13:45:22 00:13:45:49							SOME1	ein paar
00:13:45:49 00:13:46:11
00:13:46:11 00:13:46:34						SMALL11*		klein
00:13:46:34 00:13:47:07
00:13:47:07 00:13:47:21						$ALPHA1:C-L		schloss
00:13:47:21 00:13:47:35
00:13:47:35 00:13:48:23						$PROD
00:13:48:23 00:13:48:41
00:13:48:41 00:13:49:03						OWN1C		eigene
00:13:49:03 00:13:49:13
00:13:49:13 00:13:49:18						WATER1*		wasser umkreis
00:13:49:18 00:13:49:28
00:13:49:28 00:13:51:04						$PROD
00:13:51:04 00:13:51:05
00:13:51:05 00:13:51:21					They are beautiful.
00:13:51:21 00:13:51:42						$PROD		schloss
00:13:51:42 00:13:51:49
00:13:51:49 00:13:52:04						GOOD1		[MG]
00:13:52:04 00:13:52:16					They are especially located in the North of Osnabrück.
00:13:52:16 00:13:53:10						$INDEX1*		[MG]
00:13:53:10 00:13:53:18						NORTH1B		nord
00:13:53:18 00:13:53:21
00:13:53:21 00:13:53:25						PARTICULARLY1A*		besonders
00:13:53:25 00:13:53:29
00:13:53:29 00:13:53:35						AREA1A^*
00:13:53:35 00:13:53:38
00:13:53:38 00:13:53:46					There are none in the south of Osnabrück.
00:13:53:46 00:13:54:06						SOUTH1B		süd
00:13:54:06 00:13:54:12
00:13:54:12 00:13:54:21						NONE1*		kein
00:13:54:21 00:13:54:27
00:13:54:27 00:13:55:26						AREA1A^*
00:13:55:26 00:13:55:42
00:13:55:42 00:13:56:38					What else can be found around Osnabrück?
00:13:56:38 00:13:57:07							$INDEX1*
00:13:57:07 00:13:57:21
00:13:57:21 00:14:00:08							$PROD
00:14:00:08 00:14:01:06
00:14:01:06 00:14:03:21					I can't think of anything else.	$GEST^		[MG]
00:14:03:21 00:14:03:40					There is one more peculiarity.
00:14:03:40 00:14:03:47						PARTICULARLY1A*		auch
00:14:03:47 00:14:04:12
00:14:04:12 00:14:04:22						PARTICULARLY1A*		besonders
00:14:04:22 00:14:04:43
00:14:04:43 00:14:05:17					We have a carnival parade in February. It even takes place in the villages surrounding Osnabrück.
00:14:05:17 00:14:05:49						CARNIVAL2A		karnevalsumzug
00:14:05:49 00:14:06:13
00:14:06:13 00:14:07:03						TO-MOVE1*
00:14:07:03 00:14:07:10
00:14:07:10 00:14:07:14						ALSO1A		auch
00:14:07:14 00:14:07:28
00:14:07:28 00:14:07:45						FEBRUARY1B		februar
00:14:07:45 00:14:08:03
00:14:08:03 00:14:09:03						MASS-OF-PEOPLE-ACTIVE8		[MG]
00:14:09:03 00:14:09:15
00:14:09:15 00:14:09:26						ALSO1A		auch
00:14:09:26 00:14:09:32
00:14:09:32 00:14:09:40						WHAT1A		[MG]
00:14:09:40 00:14:09:45
00:14:09:45 00:14:10:02						MUCH1C		viel
00:14:10:02 00:14:10:05
00:14:10:05 00:14:11:15							$INDEX1	[MG]
00:14:11:15 00:14:11:18
00:14:11:18 00:14:11:25							ALSO1A	auch
00:14:11:25 00:14:11:31					And there is a ‘Maifest’ [May Celebration]. That’s right, the ‘Maifest’.
00:14:11:31 00:14:11:40						NEXT-TO1A*
00:14:11:40 00:14:11:42
00:14:11:42 00:14:11:46						AND5*		und
00:14:11:46 00:14:12:12
00:14:12:12 00:14:12:20						MAY3A		maifest
00:14:12:20 00:14:12:31
00:14:12:31 00:14:12:44						CELEBRATION1A*
00:14:12:44 00:14:14:00
00:14:14:00 00:14:14:05						MAY3A		maifest
00:14:14:05 00:14:14:14
00:14:14:14 00:14:14:23						CELEBRATION1C
00:14:14:23 00:14:14:31
00:14:14:31 00:14:14:35					It lasts three weeks.
00:14:14:35 00:14:15:00						APPROXIMATELY1		[MG]
00:14:15:00 00:14:15:17
00:14:15:17 00:14:15:44						TO-LAST1		dauert
00:14:15:44 00:14:15:48
00:14:15:48 00:14:16:12						$NUM-ONE-TO-TEN1A:3d		drei
00:14:16:12 00:14:16:25
00:14:16:25 00:14:16:46						WEEK1A*		wochen
00:14:16:46 00:14:17:13
00:14:17:13 00:14:17:37						THROUGH1^		[MG]
00:14:17:37 00:14:18:06
00:14:18:06 00:14:19:22						PERIOD1C*
00:14:19:22 00:14:19:40
00:14:19:40 00:14:19:45					It takes place in the middle of the town, on one of the bigger streets.
00:14:19:45 00:14:20:06						BIG3A		groß
00:14:20:06 00:14:20:17
00:14:20:17 00:14:20:22						CITY2		stadtmitte
00:14:20:22 00:14:20:30
00:14:20:30 00:14:20:48						MIDDLE2A
00:14:20:48 00:14:21:10
00:14:21:10 00:14:21:24						BIG3A		große
00:14:21:24 00:14:21:42
00:14:21:42 00:14:22:18						STREET1A		straße
00:14:22:18 00:14:22:28					There are many bands trying to woo the audience.
00:14:22:28 00:14:22:41						$GEST^		[MG]
00:14:22:41 00:14:22:49
00:14:22:49 00:14:23:19						$PROD
00:14:23:19 00:14:23:22
00:14:23:22 00:14:23:40						MUSIC1*		musik
00:14:23:40 00:14:23:48
00:14:23:48 00:14:24:02						TO-EAT-OR-FOOD4*
00:14:24:02 00:14:24:06
00:14:24:06 00:14:24:14						DISTINCT1*		verschieden
00:14:24:14 00:14:24:21
00:14:24:21 00:14:25:04						$PROD		[MG]
00:14:25:04 00:14:25:09
00:14:25:09 00:14:25:32						$INDEX1*
00:14:25:32 00:14:25:36
00:14:25:36 00:14:26:01						COMPETITION1*		konkurrenz
00:14:26:01 00:14:26:07
00:14:26:07 00:14:26:17					Wherever you turn to, you will hear bands playing their music.
00:14:26:17 00:14:26:35						$GEST^
00:14:26:35 00:14:26:42
00:14:26:42 00:14:27:03						TO-HEAR1*
00:14:27:03 00:14:27:10
00:14:27:10 00:14:27:24						WEIRD-STRANGE1^*		[MG]
00:14:27:24 00:14:27:28
00:14:27:28 00:14:27:32						GREAT1A*		toll
00:14:27:32 00:14:27:39
00:14:27:39 00:14:28:01						MUSIC1		musik
00:14:28:01 00:14:28:09
00:14:28:09 00:14:28:15						$INDEX1		da
00:14:28:15 00:14:28:33
00:14:28:33 00:14:29:01						$INDEX4*		da
00:14:29:01 00:14:29:25
00:14:29:25 00:14:29:28						$PROD
00:14:29:28 00:14:29:42
00:14:29:42 00:14:30:17						$PROD
00:14:30:17 00:14:30:30
00:14:30:30 00:14:30:45						$GEST^
00:14:30:45 00:14:31:05
00:14:31:05 00:14:31:15					It lasts three weeks.
00:14:31:15 00:14:31:29						WEEK1B*		drei wochen
00:14:31:29 00:14:31:44
00:14:31:44 00:14:32:13						THROUGH1A		du{rch}
00:14:32:13 00:14:32:19
00:14:32:19 00:14:32:23						$NUM-ONE-TO-TEN1A:3d		drei
00:14:32:23 00:14:32:27
00:14:32:27 00:14:32:35						THROUGH1A*
00:14:32:35 00:14:32:47
00:14:32:47 00:14:33:11						PERIOD1C*
00:14:33:11 00:14:33:15
00:14:33:15 00:14:33:23					There is a lot going on.
00:14:33:23 00:14:33:41						FAST3^*		[MG]
00:14:33:41 00:14:33:49					People drink and party, as well.
00:14:33:49 00:14:34:13						INTOXICATED3A		saufen
00:14:34:13 00:14:34:25
00:14:34:25 00:14:34:41						PARTY1A*		[MG]
00:14:34:41 00:14:34:46
00:14:34:46 00:14:35:02	Three weeks straight?				Great.
00:14:35:02 00:14:35:11						SUPER2*		[MG]
00:14:35:11 00:14:35:23		$NUM-ONE-TO-TEN1A:3d		drei woche
00:14:35:23 00:14:35:44
00:14:35:44 00:14:36:05		THROUGH1A		du{rch}	Yes, three weeks.
00:14:36:05 00:14:36:14
00:14:36:14 00:14:36:21		GREAT1A^		[MG]
00:14:36:21 00:14:36:23			WEEK1B*				drei wochen
00:14:36:23 00:14:36:33
00:14:36:33 00:14:36:44
00:14:36:44 00:14:36:49						PERIOD1C^		woche
00:14:36:49 00:14:37:17
00:14:37:17 00:14:37:27
00:14:37:27 00:14:37:37						$GEST^
00:14:37:37 00:14:37:45
00:14:37:45 00:14:38:05						$GEST^
00:14:38:05 00:14:38:27
00:14:38:27 00:14:38:42					We do not call it “Freimarkt” [lit. free fair] but “Jahrmarkt” [fair, lit. year fair].
00:14:38:42 00:14:38:48						AND5*		und
00:14:38:48 00:14:39:05
00:14:39:05 00:14:39:23						$GEST^
00:14:39:23 00:14:39:25
00:14:39:25 00:14:39:38						$INDEX1
00:14:39:38 00:14:39:49
00:14:39:49 00:14:40:10						MARKET2*		freimarkt
00:14:40:10 00:14:40:29
00:14:40:29 00:14:40:36						FREE1
00:14:40:36 00:14:40:48
00:14:40:48 00:14:41:25						MARKET2
00:14:41:25 00:14:41:41
00:14:41:41 00:14:41:49						USUAL1		normal
00:14:41:49 00:14:42:09
00:14:42:09 00:14:42:23						YEAR2A		jahrmarkt
00:14:42:23 00:14:42:26
00:14:42:26 00:14:42:42						TO-CRANK1A^*
00:14:42:42 00:14:43:07
00:14:43:07 00:14:43:21						WORD3		wort
00:14:43:21 00:14:43:27
00:14:43:27 00:14:43:33						USUAL1		normal
00:14:43:33 00:14:43:45
00:14:43:45 00:14:44:25						YEAR2B		jahrmarkt
00:14:44:25 00:14:44:32
00:14:44:32 00:14:45:06						MARKET2*
00:14:45:06 00:14:45:13					It takes place twice a year - once in April or May, and once in October or November.
00:14:45:13 00:14:46:01						$GEST^
00:14:46:01 00:14:46:24
00:14:46:24 00:14:46:30						$NUM-ONE-TO-TEN1A:2d*		zweimal
00:14:46:30 00:14:46:33
00:14:46:33 00:14:47:02						ONCE4*
00:14:47:02 00:14:47:28
00:14:47:28 00:14:47:34						IN1		im
00:14:47:34 00:14:47:43
00:14:47:43 00:14:48:02						APRIL2		april
00:14:48:02 00:14:48:04
00:14:48:04 00:14:48:20							BETWEEN1B*
00:14:48:20 00:14:48:22
00:14:48:22 00:14:48:36						APPROXIMATELY2
00:14:48:36 00:14:49:00
00:14:49:00 00:14:49:17						AFTERWARDS1A^		und
00:14:49:17 00:14:49:29
00:14:49:29 00:14:49:36						NOVEMBER7A		november
00:14:49:36 00:14:49:45
00:14:49:45 00:14:50:04						OCTOBER16		oktober
00:14:50:04 00:14:50:11
00:14:50:11 00:14:50:30						BETWEEN1B*
00:14:50:30 00:14:50:48
00:14:50:48 00:14:51:15						BETWEEN1B*		[MG]
00:14:51:15 00:14:51:23
00:14:51:23 00:14:51:26						$NUM-ONE-TO-TEN1A:2		zweimal
00:14:51:26 00:14:51:31
00:14:51:31 00:14:51:38						$GEST^
00:14:51:38 00:14:52:03
00:14:52:03 00:14:52:17					They don't have it in Osnabrück any longer.
00:14:52:17 00:14:52:27						AND5*		und
00:14:52:27 00:14:52:37
00:14:52:37 00:14:52:47						OSNABRÜCK1*	LOCATION3	osna{brück}
00:14:52:47 00:14:53:03
00:14:53:03 00:14:53:15						THATS-ALL1A*
00:14:53:15 00:14:53:23
00:14:53:23 00:14:53:28						$INDEX1*
00:14:53:28 00:14:53:32
00:14:53:32 00:14:53:46						TIMES3*
00:14:53:46 00:14:53:48
00:14:53:48 00:14:54:07					There are many smaller towns surrounding Osnabrück.
00:14:54:07 00:14:54:19						ALSO1A		auch
00:14:54:19 00:14:54:32
00:14:54:32 00:14:55:36						ROUND6A^*		[MG]
00:14:55:36 00:14:55:43
00:14:55:43 00:14:56:01						NORTH1A*		nord
00:14:56:01 00:14:56:07
00:14:56:07 00:14:56:18						OSNABRÜCK1		osnabrück
00:14:56:18 00:14:56:34
00:14:56:34 00:14:56:40						SMALL11		klein
00:14:56:40 00:14:57:01
00:14:57:01 00:14:57:10						CITY2		städte
00:14:57:10 00:14:57:20
00:14:57:20 00:14:58:02						$INDEX1*
00:14:58:02 00:14:58:11
00:14:58:11 00:14:58:20					There is Bramsche, Ibbenbüren, or (()) and many others.
00:14:58:20 00:14:59:14						$GEST^
00:14:59:14 00:14:59:26
00:14:59:26 00:14:59:35						$CUED-SPEECH:SCH1		bramsche
00:14:59:35 00:14:59:46
00:14:59:46 00:15:00:07							$INDEX1
00:15:00:07 00:15:00:35
00:15:00:35 00:15:01:14						$INDEX1		[MG]
00:15:01:14 00:15:01:31
00:15:01:31 00:15:01:38						$ALPHA1:I*		ibbenbüren
00:15:01:38 00:15:01:45
00:15:01:45 00:15:02:14						BÜREN1*
00:15:02:14 00:15:02:27
00:15:02:27 00:15:03:05							$INDEX1*
00:15:03:05 00:15:03:25
00:15:03:25 00:15:04:22						$GEST^
00:15:04:22 00:15:04:32
00:15:04:32 00:15:04:44						$ALPHA1:B		??
00:15:04:44 00:15:05:03
00:15:05:03 00:15:05:20						LOCATION3^*
00:15:05:20 00:15:05:29
00:15:05:29 00:15:06:24							$INDEX1*
00:15:06:24 00:15:07:16
00:15:07:16 00:15:07:41						$INDEX1*
00:15:07:41 00:15:07:42
00:15:07:42 00:15:08:06					They have some small fairs and marksmen's festivals.
00:15:08:06 00:15:08:16						ALSO1A		auch
00:15:08:16 00:15:08:31
00:15:08:31 00:15:11:07						SMALL1B*		klein
00:15:11:07 00:15:11:38
00:15:11:38 00:15:11:48						MARKET2*		freimarkt
00:15:11:48 00:15:12:14
00:15:12:14 00:15:12:26						SHOOTER-OR-SAGITTARIUS3		schützenfest
00:15:12:26 00:15:12:33
00:15:12:33 00:15:12:47						CELEBRATION1A
00:15:12:47 00:15:13:20
00:15:13:20 00:15:13:26					There is a lot going on in the greater area of Osnabrück.
00:15:13:26 00:15:13:30						AND5*		und
00:15:13:30 00:15:13:38
00:15:13:38 00:15:13:47						MUCH1C		viel
00:15:13:47 00:15:13:48
00:15:13:48 00:15:14:08						APPOINTMENT1A		termin
00:15:14:08 00:15:14:12
00:15:14:12 00:15:14:25						WHAT1A^		los
00:15:14:25 00:15:14:30
00:15:14:30 00:15:14:34						MUCH1C*
00:15:14:34 00:15:14:41
00:15:14:41 00:15:15:36						$INDEX1*
00:15:15:36 00:15:15:43
00:15:15:43 00:15:16:01						ALSO1A*		auch
00:15:16:01 00:15:16:05
00:15:16:05 00:15:16:14						$GEST^
00:15:16:14 00:15:16:30
00:15:16:30 00:15:16:45	Pardon me, but you are talking about the area outside the city of Osnabrück, aren't you?
00:15:16:45 00:15:17:00		YOU1*		aber
00:15:17:00 00:15:17:07
00:15:17:07 00:15:17:12		TO-BELIEVE2B
00:15:17:12 00:15:17:20
00:15:17:20 00:15:17:25		APOLOGY1*		entsch{uldigung}
00:15:17:25 00:15:17:29
00:15:17:29 00:15:17:35		$INDEX1
00:15:17:35 00:15:17:43
00:15:17:43 00:15:17:49		OSNABRÜCK1*		osnabrück
00:15:17:49 00:15:18:11
00:15:18:11 00:15:18:18			$PROD
00:15:18:18 00:15:18:28
00:15:18:28 00:15:18:41		$PROD
00:15:18:41 00:15:18:42
00:15:18:42 00:15:19:01		TO-BELONG1*		gehört
00:15:19:01 00:15:19:09
00:15:19:09 00:15:19:16		OSNABRÜCK1*		osna{brück}
00:15:19:16 00:15:19:26
00:15:19:26 00:15:19:30		$INDEX1*
00:15:19:30 00:15:19:45					Yes.
00:15:19:45 00:15:20:01						YES2
00:15:20:01 00:15:20:05	Okay.
00:15:20:05 00:15:20:12		$INDEX1		[MG]
00:15:20:12 00:15:20:17
00:15:20:17 00:15:20:22
00:15:20:22 00:15:20:27		TO-THINK1B
00:15:20:27 00:15:20:28
00:15:20:28 00:15:20:30		RIGHT-OR-AGREED1A		stimmt
00:15:20:30 00:15:20:33	Right, but there is only the one event in Bremen.				Yes, there are many events in the surrounding area.
00:15:20:33 00:15:20:40		BREMEN1*		bremen
00:15:20:40 00:15:20:43
00:15:20:43 00:15:21:00		NO2B		nein
00:15:21:00 00:15:21:07
00:15:21:07 00:15:21:19		ALONE1C		allein
00:15:21:19 00:15:21:33
00:15:21:33 00:15:21:40		TO-COMPREHEND1		[MG]
00:15:21:40 00:15:21:41
00:15:21:41 00:15:21:48						YES2
00:15:21:48 00:15:22:14
00:15:22:14 00:15:22:21						$INDEX1*
00:15:22:21 00:15:22:24
00:15:22:24 00:15:22:49						MUCH1A		viel
00:15:22:49 00:15:23:05
00:15:23:05 00:15:23:06						$GEST-OFF1^*		auch
00:15:23:06 00:15:23:12
00:15:23:12 00:15:23:16						ALSO3A*
00:15:23:16 00:15:23:20
00:15:23:20 00:15:23:30						EVENT2		veranstaltung
00:15:23:30 00:15:23:37
00:15:23:37 00:15:24:14						$INDEX1*
00:15:24:14 00:15:24:20
00:15:24:20 00:15:24:26						$GEST-OFF1^		[MG]
00:15:24:26 00:15:24:32
00:15:24:32 00:15:26:21
00:15:26:21 00:15:26:36					They have a tradition similar to one of Bremen’s, as well.
00:15:26:36 00:15:26:43						ALSO1A		auch
00:15:26:43 00:15:26:49
00:15:26:49 00:15:28:47						TRADITION3*		tradition
00:15:28:47 00:15:29:05
00:15:29:05 00:15:29:24						TYPICAL1*		typisch
00:15:29:24 00:15:29:34
00:15:29:34 00:15:29:43						EXAMPLE1		beispiel
00:15:29:43 00:15:29:49
00:15:29:49 00:15:30:07
00:15:30:07 00:15:30:14						BREMEN1*		bremen
00:15:30:14 00:15:30:23
00:15:30:23 00:15:30:41						EQUAL1A		[MG]
00:15:30:41 00:15:30:49
00:15:30:49 00:15:31:06						ALSO3A*		auch
00:15:31:06 00:15:32:18
00:15:32:18 00:15:32:21					When turning 25 men get old socks.
00:15:32:21 00:15:32:27						$INDEX1
00:15:32:27 00:15:32:33
00:15:32:33 00:15:32:40						$NUM-ONE-TO-TEN1A:5		fünfundzwanzig
00:15:32:40 00:15:32:43
00:15:32:43 00:15:33:01						$NUM-TENS1:2d
00:15:33:01 00:15:33:17
00:15:33:17 00:15:33:37						OLD5A		alt
00:15:33:37 00:15:34:02
00:15:34:02 00:15:34:10						OLD5A		alt
00:15:34:10 00:15:34:23
00:15:34:23 00:15:35:22						SOCK1*		socken
00:15:35:22 00:15:35:37
00:15:35:37 00:15:36:12						FOR1		für
00:15:36:12 00:15:36:26
00:15:36:26 00:15:37:28						MAN1		mann
00:15:37:28 00:15:37:31
00:15:37:31 00:15:38:09						TO-BELONG1^
00:15:38:09 00:15:39:01					Women get old and shabby boxes as a birthday gift.
00:15:39:01 00:15:39:10						FOR1*		für
00:15:39:10 00:15:39:23
00:15:39:23 00:15:39:39						WOMAN1A		frau
00:15:39:39 00:15:40:17
00:15:40:17 00:15:40:32						TO-BELONG1^
00:15:40:32 00:15:41:23
00:15:41:23 00:15:41:30						OLD5A		alte
00:15:41:30 00:15:41:36
00:15:41:36 00:15:43:48						TETRAGON10^		schachtel
00:15:43:48 00:15:44:12					On their 30th birthday men have to mop, and women have to clean.
00:15:44:12 00:15:44:20						$NUM-TENS2A:3d		dreißig
00:15:44:20 00:15:44:36
00:15:44:36 00:15:45:31						OLD5A		alt
00:15:45:31 00:15:45:39
00:15:45:39 00:15:45:44							CLEAR1A*	klar
00:15:45:44 00:15:46:06
00:15:46:06 00:15:46:14							MAN1	mann
00:15:46:14 00:15:46:22
00:15:46:22 00:15:46:40						TO-SWEEP1A*		fegen
00:15:46:40 00:15:47:15
00:15:47:15 00:15:47:28						WOMAN1A		frau
00:15:47:28 00:15:47:41
00:15:47:41 00:15:48:27						TO-CLEAN5*		putzen
00:15:48:27 00:15:48:34
00:15:48:34 00:15:48:41						$GEST-OFF1^
00:15:48:41 00:15:49:05
00:15:49:05 00:15:49:19	I didn't know about the sweeping, neither about the old cigarette packets for the 25th birthday.
00:15:49:19 00:15:49:24		$INDEX1
00:15:49:24 00:15:49:31
00:15:49:31 00:15:49:43		TO-KNOW-STH2B
00:15:49:43 00:15:49:47
00:15:49:47 00:15:50:02		RIGHT-OR-AGREED1A*		stimmt
00:15:50:02 00:15:50:11
00:15:50:11 00:15:50:14		QUESTION1*		fr{agen}
00:15:50:14 00:15:50:18
00:15:50:18 00:15:50:29		$INDEX1
00:15:50:29 00:15:51:14
00:15:51:14 00:15:51:19		SUBJECT1*		thema
00:15:51:19 00:15:51:31
00:15:51:31 00:15:51:43		TO-SWEEP1A		fegen
00:15:51:43 00:15:52:03
00:15:52:03 00:15:52:13		$INDEX1		da
00:15:52:13 00:15:52:34
00:15:52:34 00:15:52:37		$NUM-ONE-TO-TEN1A:5		fünfundzwanzig
00:15:52:37 00:15:52:42
00:15:52:42 00:15:52:43		$NUM-TENS2A:2d*
00:15:52:43 00:15:53:01
00:15:53:01 00:15:53:06		OLD8B		jahr
00:15:53:06 00:15:53:12
00:15:53:12 00:15:53:17		TETRAGON10^
00:15:53:17 00:15:53:22
00:15:53:22 00:15:53:25					The old boxes for the women.
00:15:53:25 00:15:53:35		CIGARETTE1*		zigarettenschachtel
00:15:53:35 00:15:53:45
00:15:53:45 00:15:54:07		TETRAGON10^				OLD5A		alt
00:15:54:07 00:15:54:12
00:15:54:12 00:15:54:17						TETRAGON10^		schachtel
00:15:54:17 00:15:54:23		OLD8B		alt
00:15:54:23 00:15:54:24			FOR1				für
00:15:54:24 00:15:54:28
00:15:54:28 00:15:54:34		TETRAGON10^		schachtel
00:15:54:34 00:15:54:39						WOMAN1A		frauen
00:15:54:39 00:15:54:42		$INDEX1
00:15:54:42 00:15:54:44
00:15:54:44 00:15:55:00
00:15:55:00 00:15:55:04						TO-BELONG1		gehört
00:15:55:04 00:15:55:10		TO-KNOW-STH2B		wusste nicht
00:15:55:10 00:15:55:16
00:15:55:16 00:15:55:25		I1
00:15:55:25 00:15:55:26
00:15:55:26 00:15:55:28	A colleague talked about it recently. I didn't know that.
00:15:55:28 00:15:55:35		I1
00:15:55:35 00:15:55:41
00:15:55:41 00:15:56:03		RECENTLY1B		[MG]
00:15:56:03 00:15:56:10
00:15:56:10 00:15:56:15		COLLEAGUE1A*		koll{ege}
00:15:56:15 00:15:56:19
00:15:56:19 00:15:56:28		TO-LET-KNOW1A*
00:15:56:28 00:15:56:32
00:15:56:32 00:15:56:45		I1
00:15:56:45 00:15:57:04
00:15:57:04 00:15:57:10		TO-KNOW-STH2B*		wusste nicht
00:15:57:10 00:15:57:15						$INDEX1		[MG]
00:15:57:15 00:15:57:19		I1
00:15:57:19 00:15:57:39
00:15:57:39 00:15:58:09
00:15:58:09 00:15:58:30	I'm not sure whether they have that tradition in Bremen.
00:15:58:30 00:15:58:36		HERE1*		[MG]
00:15:58:36 00:15:58:43
00:15:58:43 00:15:58:49		BREMEN1*		bre{men}
00:15:58:49 00:15:59:06
00:15:59:06 00:15:59:13		RIGHT-OR-AGREED1A*		[MG]
00:15:59:13 00:15:59:18
00:15:59:18 00:15:59:20		I1
00:15:59:20 00:15:59:26
00:15:59:26 00:15:59:30		TO-KNOW-STH2B
00:15:59:30 00:15:59:31
00:15:59:31 00:15:59:34		NOT3B
00:15:59:34 00:15:59:40	At least not among the deaf.
00:15:59:40 00:16:00:00		DEAF1A		[MG]
00:16:00:00 00:16:00:03
00:16:00:03 00:16:00:05					I have seen it a few times.
00:16:00:05 00:16:00:11						I1		[MG]
00:16:00:11 00:16:00:14		AREA1A		[MG]
00:16:00:14 00:16:00:20
00:16:00:20 00:16:00:25						$NUM-ONE-TO-TEN1A:2d	[MG]
00:16:00:25 00:16:00:31
00:16:00:31 00:16:00:33		I2					$NUM-ONE-TO-TEN1A:3d	[MG]
00:16:00:33 00:16:00:35
00:16:00:35 00:16:00:41
00:16:00:41 00:16:01:18		$GEST^				TO-SEE1*		[MG]
00:16:01:18 00:16:01:24	Hearing/
00:16:01:24 00:16:01:35		HEARING1A*		hörend	They hang tons of boxes on the façade of the house, across all three floors.
00:16:01:35 00:16:01:46			HOUSE1A			haus
00:16:01:46 00:16:02:13
00:16:02:13 00:16:02:31
00:16:02:31 00:16:02:38						OLD5A		alt
00:16:02:38 00:16:02:44
00:16:02:44 00:16:03:06						TETRAGON10^		schachtel
00:16:03:06 00:16:03:22
00:16:03:22 00:16:04:00						$PROD		voll
00:16:04:00 00:16:04:10
00:16:04:10 00:16:04:26
00:16:04:26 00:16:04:30						HOUSE1A*		haus
00:16:04:30 00:16:04:34
00:16:04:34 00:16:05:03						$NUM-ONE-TO-TEN1A:3d	STOREY2*	drei stock{werke}
00:16:05:03 00:16:05:22
00:16:05:22 00:16:05:29	Do you know whether they have that tradition in Bremen, as well?						$INDEX1*	[MG]
00:16:05:29 00:16:05:44		YOU1
00:16:05:44 00:16:06:16
00:16:06:16 00:16:06:26		TO-LEARN-STH1A*		[MG]
00:16:06:26 00:16:06:27
00:16:06:27 00:16:07:02			TO-HANG-UP-STH2*				auf auf
00:16:07:02 00:16:07:09
00:16:07:09 00:16:07:13		BREMEN1*				bre{men}
00:16:07:13 00:16:07:20
00:16:07:20 00:16:07:21		THERE-IS2*				gibt
00:16:07:21 00:16:07:28
00:16:07:28 00:16:07:33
00:16:07:33 00:16:07:44		HERE1		hier
00:16:07:44 00:16:08:11
00:16:08:11 00:16:08:35		TO-LEARN-STH1A*
00:16:08:35 00:16:09:03
00:16:09:03 00:16:09:12		YOU1*
00:16:09:12 00:16:09:25				No, I haven't seen such a decorated house hereabouts, so far.
00:16:09:25 00:16:09:33					UNTIL-OR-TO1		bis
00:16:09:33 00:16:09:40
00:16:09:40 00:16:09:49					TO-SEE1		seh
00:16:09:49 00:16:10:06
00:16:10:06 00:16:10:20					HOUSE1A		haus
00:16:10:20 00:16:10:25
00:16:10:25 00:16:10:35					$NUM-ONE-TO-TEN1A:1*		nicht einmal
00:16:10:35 00:16:10:42
00:16:10:42 00:16:11:00
00:16:11:00 00:16:11:07						TO-SEE1
00:16:11:07 00:16:11:13
00:16:11:13 00:16:11:18	I didn't know that. It is supposed to be common in Lower Saxony; at least that's what my colleague said.					HOUSE1A		haus
00:16:11:18 00:16:11:33		MEANING1			bedeutet
00:16:11:33 00:16:11:37
00:16:11:37 00:16:11:41		I1				$GEST-OFF1^
00:16:11:41 00:16:11:46
00:16:11:46 00:16:12:06		MEANING1			bedeutet
00:16:12:06 00:16:12:13
00:16:12:13 00:16:12:21		$INDEX1
00:16:12:21 00:16:12:38
00:16:12:38 00:16:12:47		COLLEAGUE1A*			koll{ege}
00:16:12:47 00:16:13:02
00:16:13:02 00:16:13:08		TO-LET-KNOW1A*
00:16:13:08 00:16:13:16
00:16:13:16 00:16:13:33		AREA1A^			niedersachsen
00:16:13:33 00:16:13:40
00:16:13:40 00:16:14:06		$GEST^
00:16:14:06 00:16:14:21					In Osnabrück people immediately know that someone turned 25 - a woman when seeing boxes, and a men when seeing socks.
00:16:14:21 00:16:14:25		RIGHT-OR-AGREED1A*
00:16:14:25 00:16:14:31
00:16:14:31 00:16:14:33						$GEST^
00:16:14:33 00:16:14:49		$GEST^
00:16:14:49 00:16:15:01
00:16:15:01 00:16:15:08
00:16:15:08 00:16:15:11		TO-BE-OUTVOTED1		[MG]
00:16:15:11 00:16:15:16			I1				ich
00:16:15:16 00:16:15:27
00:16:15:27 00:16:15:29
00:16:15:29 00:16:15:36		TYPICAL1*		typisch
00:16:15:36 00:16:15:38			OSNABRÜCK1*				osna{brück}
00:16:15:38 00:16:15:47
00:16:15:47 00:16:16:03
00:16:16:03 00:16:16:08						TO-SEE1		[MG]
00:16:16:08 00:16:16:17
00:16:16:17 00:16:16:24						HOUSE1A*		haus
00:16:16:24 00:16:16:29
00:16:16:29 00:16:16:45						FAR1*		[MG]
00:16:16:45 00:16:16:48
00:16:16:48 00:16:17:20						$PROD
00:16:17:20 00:16:17:25
00:16:17:25 00:16:17:39						TO-COMPREHEND1		[MG]
00:16:17:39 00:16:17:40
00:16:17:40 00:16:17:45							$INDEX1*
00:16:17:45 00:16:17:47
00:16:17:47 00:16:18:05						TO-BECOME1*		wird
00:16:18:05 00:16:18:08
00:16:18:08 00:16:18:16						$NUM-ONE-TO-TEN1A:5		fünfundzwanzig
00:16:18:16 00:16:18:21
00:16:18:21 00:16:18:25						$NUM-TENS2A:2d
00:16:18:25 00:16:18:35
00:16:18:35 00:16:18:49						OLD5A		jahre alt
00:16:18:49 00:16:19:01
00:16:19:01 00:16:19:10						$GEST^
00:16:19:10 00:16:19:18
00:16:19:18 00:16:19:29						WOMAN1A*		frau
00:16:19:29 00:16:19:32
00:16:19:32 00:16:19:39						$GEST^
00:16:19:39 00:16:20:21
00:16:20:21 00:16:20:31						WEIRD-STRANGE1^*		[MG]
00:16:20:31 00:16:20:42
00:16:20:42 00:16:21:11						SOCK1*		socken
00:16:21:11 00:16:21:23
00:16:21:23 00:16:21:48						TO-HANG-UP-STH2*		[MG]
00:16:21:48 00:16:22:14
00:16:22:14 00:16:22:28						TO-COMPREHEND1		[MG]
00:16:22:28 00:16:22:38
00:16:22:38 00:16:22:49						MAN1		mann
00:16:22:49 00:16:23:20
00:16:23:20 00:16:23:25						$GEST^
00:16:23:25 00:16:23:38
00:16:23:38 00:16:24:00						TO-COMPREHEND1		[MG]
00:16:24:00 00:16:24:08
00:16:24:08 00:16:24:13	No, we don't have that in Bremen.
00:16:24:13 00:16:24:16						$GEST-OFF1^
00:16:24:16 00:16:24:23		MEANING1		bedeutet
00:16:24:23 00:16:24:44
00:16:24:44 00:16:24:45			Yeah, it is quite interesting here.
00:16:24:45 00:16:25:04
00:16:25:04 00:16:25:09		$GEST^
00:16:25:09 00:16:25:12
00:16:25:12 00:16:25:20					YES1A		[MG]
00:16:25:20 00:16:25:27		MEANING1*		bedeut
00:16:25:27 00:16:25:34
00:16:25:34 00:16:25:47		BREMEN1*		bremen
00:16:25:47 00:16:26:04
00:16:26:04 00:16:26:32		NO2B		[MG]
00:16:26:32 00:16:26:39
00:16:26:39 00:16:26:43		TO-COMPREHEND1		[MG]
00:16:26:43 00:16:26:46			$GEST^
00:16:26:46 00:16:27:01
00:16:27:01 00:16:27:04
00:16:27:04 00:16:27:07					INTEREST1A
00:16:27:07 00:16:27:15		INTEREST1A		[MG]
00:16:27:15 00:16:27:19
00:16:27:19 00:16:27:28
00:16:27:28 00:16:27:34					$GEST-OFF1^
00:16:27:34 00:16:28:03
00:16:28:03 00:16:28:19					We have cabbage tours, too. It is the same for Osnabrück as in Bremen.
00:16:28:19 00:16:28:28						ALSO1A		auch
00:16:28:28 00:16:29:11
00:16:29:11 00:16:29:37						TO-DRIVE1^		kohl- und pinkelfahrt
00:16:29:37 00:16:29:46
00:16:29:46 00:16:30:01						AND2A
00:16:30:01 00:16:30:06
00:16:30:06 00:16:30:12						CROOKED1^*
00:16:30:12 00:16:30:18
00:16:30:18 00:16:30:23						TO-DRIVE1
00:16:30:23 00:16:30:35
00:16:30:35 00:16:31:11						EQUAL1A		[MG]
00:16:31:11 00:16:31:25
00:16:31:25 00:16:32:22						$PROD
00:16:32:22 00:16:32:28					But along the way, we “boßel” [Boßeln is a ball sport, typically played in Northern Germany].
00:16:32:28 00:16:32:47						BUT1		aber
00:16:32:47 00:16:33:12
00:16:33:12 00:16:33:18						WITH1A		m{it}
00:16:33:18 00:16:33:33
00:16:33:33 00:16:34:04						IN-ADDITION1*
00:16:34:04 00:16:34:09
00:16:34:09 00:16:34:31						$NUM-ONE-TO-TEN1A:1d		eins
00:16:34:31 00:16:35:16
00:16:35:16 00:16:36:14						NINE-PIN-BOWLING1^		würfel
00:16:36:14 00:16:36:33
00:16:36:33 00:16:36:43					You take a “Bollerwagen” [like a hand cart] with you - just like you explained, but you also carry along the “Boßel-”balls with which you play on the street.
00:16:36:43 00:16:37:04						ALSO1A*		auch
00:16:37:04 00:16:37:16
00:16:37:16 00:16:37:27						$ALPHA1:K*	TO-PULL4^*	kohlfahrt
00:16:37:27 00:16:37:35
00:16:37:35 00:16:37:40						TO-DRIVE1*
00:16:37:40 00:16:37:45
00:16:37:45 00:16:38:00						CROOKED1^*
00:16:38:00 00:16:38:06
00:16:38:06 00:16:38:08						$INDEX1
00:16:38:08 00:16:38:15
00:16:38:15 00:16:38:22						DIFFERENT1		an{ders}
00:16:38:22 00:16:38:26						ALSO1A		auch
00:16:38:26 00:16:38:29
00:16:38:29 00:16:39:14						NINE-PIN-BOWLING1^		boller ball
00:16:39:14 00:16:39:18
00:16:39:18 00:16:39:22					You throw the ball over and over again, until you reach your final destination.
00:16:39:22 00:16:40:03							$PROD
00:16:40:03 00:16:40:14
00:16:40:14 00:16:40:47							$PROD
00:16:40:47 00:16:41:01
00:16:41:01 00:16:41:25						$INDEX1
00:16:41:25 00:16:41:32	That as well?	ALSO1A		auch
00:16:41:32 00:16:41:40					Did you know that?	ALSO3A*		auch
00:16:41:40 00:16:41:43	We have several games at our cabbage walks, though.					$INDEX1
00:16:41:43 00:16:41:49		TO-OWN1*		[MG]
00:16:41:49 00:16:42:06
00:16:42:06 00:16:42:12		JOURNEYMAN1		gesellschaftsspiel
00:16:42:12 00:16:42:18
00:16:42:18 00:16:42:22		TO-PLAY1
00:16:42:22 00:16:42:28
00:16:42:28 00:16:43:03		DIFFERENCE1B		[MG]
00:16:43:03 00:16:43:14
00:16:43:14 00:16:43:20		JOURNEYMAN1		gesellschaft
00:16:43:20 00:16:43:25
00:16:43:25 00:16:43:32		BUT1		aber
00:16:43:32 00:16:43:37
00:16:43:37 00:16:43:39					They don't hold it all year round, just on occasion.
00:16:43:39 00:16:43:46						$ORAL^		aber
00:16:43:46 00:16:44:04		CABBAGE2B*		kohl
00:16:44:04 00:16:44:11
00:16:44:11 00:16:44:24						ALSO3A*		auch
00:16:44:24 00:16:44:32
00:16:44:32 00:16:44:37		JOURNEYMAN1		gesellschaftsspiel
00:16:44:37 00:16:44:45
00:16:44:45 00:16:45:02		TO-PLAY1				YEAR2B		jahr
00:16:45:02 00:16:45:11
00:16:45:11 00:16:45:12
00:16:45:12 00:16:45:16		DIFFERENCE1B		[MG]
00:16:45:16 00:16:45:22						BETWEEN1B^*
00:16:45:22 00:16:45:30
00:16:45:30 00:16:45:43						EQUAL1A		[MG]
00:16:45:43 00:16:45:47
00:16:45:47 00:16:46:12
00:16:46:12 00:16:46:38						ALWAYS4B*		immer immer immer
00:16:46:38 00:16:46:49
00:16:46:49 00:16:47:31						NO1A*
00:16:47:31 00:16:47:37
00:16:47:37 00:16:47:41						CERTAIN1*		b{estimmt}
00:16:47:41 00:16:47:47
00:16:47:47 00:16:48:10						TIME5A*		zeit
00:16:48:10 00:16:48:17
00:16:48:17 00:16:48:35						DONE1B
00:16:48:35 00:16:48:49
00:16:48:49 00:16:49:07						ALSO3A		auch
00:16:49:07 00:16:49:14
00:16:49:14 00:16:49:16						$GEST-OFF1^
00:16:49:16 00:16:49:21									Apart from what people come up with otherwise, “Boßeln” is an actual tradition with a specific throwing technique. The goal is to throw the ball as far as possible.
00:16:49:21 00:16:49:35
00:16:49:35 00:17:01:19
00:17:01:19 00:17:01:35	Right, you can do a lot of things.
00:17:01:35 00:17:01:48			RIGHT-OR-AGREED1A
00:17:01:48 00:17:02:08
00:17:02:08 00:17:02:18		CERTAIN1		bestimmte
00:17:02:18 00:17:02:23
00:17:02:23 00:17:02:42		$INDEX1*
00:17:02:42 00:17:02:46
00:17:02:46 00:17:02:49		NOW1*		jetzt
00:17:02:49 00:17:03:01			Luckily, I won't have to drink as much if I win.
00:17:03:01 00:17:03:10
00:17:03:10 00:17:03:16		NEW1B*		neu	$GEST^
00:17:03:16 00:17:03:17
00:17:03:17 00:17:03:23
00:17:03:23 00:17:03:24						FIST1^	[MG]
00:17:03:24 00:17:03:40		IN-ADDITION1*		[MG]
00:17:03:40 00:17:03:47
00:17:03:47 00:17:04:03						TO-DRINK1
00:17:04:03 00:17:04:16
00:17:04:16 00:17:04:20						LITTLE-BIT9*	wenig
00:17:04:20 00:17:04:29		YES1A
00:17:04:29 00:17:04:39
00:17:04:39 00:17:05:02						RELIEVED2	[MG]
00:17:05:02 00:17:05:12					If another person throws the ball closer to the aim, you need to drink several shots; it gets on your nerves after a while.
00:17:05:12 00:17:05:22						CLOSE-BY1B		[MG]
00:17:05:22 00:17:05:29
00:17:05:29 00:17:05:36						EXHAUSTING1		[MG]
00:17:05:36 00:17:05:48
00:17:05:48 00:17:06:10						ON-PERSON1^
00:17:06:10 00:17:06:20
00:17:06:20 00:17:06:26						TO-DRINK2B*
00:17:06:26 00:17:07:02
00:17:07:02 00:17:08:08						THEN1A*
00:17:08:08 00:17:09:11
00:17:09:11 00:17:09:23					It is more common in rural areas, not so much in the city.
00:17:09:23 00:17:09:36						PARTICULARLY1A		besonders
00:17:09:36 00:17:09:48
00:17:09:48 00:17:10:17						COUNTRY3B*		land
00:17:10:17 00:17:10:27
00:17:10:27 00:17:10:34						CITY2*		stadt
00:17:10:34 00:17:10:43
00:17:10:43 00:17:11:15						NO1A		[MG]
00:17:11:15 00:17:11:24
00:17:11:24 00:17:11:35						COUNTRY3B*		land
00:17:11:35 00:17:11:47
00:17:11:47 00:17:12:14						FAR-AWAY1^*
00:17:12:14 00:17:12:33
00:17:12:33 00:17:12:44						PARTICULARLY1A		besonders
00:17:12:44 00:17:13:10
00:17:13:10 00:17:18:13									Are the people who live in the greater area of Osnabrück friendly?
00:17:18:13 00:17:19:43					Osnabrück is a normal town with 160,000 inhabitants.
00:17:19:43 00:17:20:05						OSNABRÜCK1		osnabrück
00:17:20:05 00:17:20:07
00:17:20:07 00:17:20:18						AN1A*		eine
00:17:20:18 00:17:20:26
00:17:20:26 00:17:20:38						USUAL1		normale
00:17:20:38 00:17:20:48
00:17:20:48 00:17:21:17						CITY2		stadt
00:17:21:17 00:17:21:23
00:17:21:23 00:17:21:36						APPROXIMATELY2		ungefähr
00:17:21:36 00:17:21:47
00:17:21:47 00:17:22:07						$NUM-HUNDREDS1:1		hundertsechzigtausend
00:17:22:07 00:17:22:14
00:17:22:14 00:17:22:23						$NUM-TENS2A:6d
00:17:22:23 00:17:22:28
00:17:22:28 00:17:22:35						$NUM-THOUSAND1*
00:17:22:35 00:17:22:44
00:17:22:44 00:17:23:35						INHABITANT2*		einwohner
00:17:23:35 00:17:24:22
00:17:24:22 00:17:24:32					I think Osnabrück is a very friendly town.
00:17:24:32 00:17:24:40						MUCH1C		viel
00:17:24:40 00:17:25:01
00:17:25:01 00:17:25:16						FRIENDLY2*		freundliche
00:17:25:16 00:17:25:33
00:17:25:33 00:17:26:10	Did you know/					CITY2*		stadt
00:17:26:10 00:17:26:11		YOU1*
00:17:26:11 00:17:26:17
00:17:26:17 00:17:26:25
00:17:26:25 00:17:26:34						FRIENDLY2*		freundliche
00:17:26:34 00:17:26:36		TO-KNOW-STH2A*
00:17:26:36 00:17:26:43
00:17:26:43 00:17:26:46				CITY2*		stadt
00:17:26:46 00:17:26:47
00:17:26:47 00:17:27:04		YOU1
00:17:27:04 00:17:27:24
00:17:27:24 00:17:27:28	Hey/
00:17:27:28 00:17:27:30		YOU1*
00:17:27:30 00:17:27:34
00:17:27:34 00:17:27:41		$GEST-ATTENTION1^
00:17:27:41 00:17:27:46	Did you know that two years ago Osnabrück was said to be Germany's friendliest city?
00:17:27:46 00:17:28:02		YOU1*
00:17:28:02 00:17:28:11
00:17:28:11 00:17:28:19		TO-KNOW-STH2B
00:17:28:19 00:17:28:31
00:17:28:31 00:17:28:48		$NUM-YEAR-BEFORE-NOW1:2d*		zwei jahr
00:17:28:48 00:17:29:15
00:17:29:15 00:17:29:31		TO-PRINT1^
00:17:29:31 00:17:29:35
00:17:29:35 00:17:30:00					Right.
00:17:30:00 00:17:30:12		FRIENDLY2*		freundlich		RIGHT-OR-AGREED1B		stimmt
00:17:30:12 00:17:30:19
00:17:30:19 00:17:30:25		CITY2*		s{tadt}
00:17:30:25 00:17:30:38
00:17:30:38 00:17:30:40		OSNABRÜCK1*		os{nabrück}
00:17:30:40 00:17:31:01
00:17:31:01 00:17:31:11		CITY2		stadt
00:17:31:11 00:17:31:12
00:17:31:12 00:17:31:18
00:17:31:18 00:17:31:34		COUNTRY1A*		deutschland
00:17:31:34 00:17:32:06
00:17:32:06 00:17:32:12
00:17:32:12 00:17:32:22		OSNABRÜCK1		osnabrück
00:17:32:22 00:17:32:29
00:17:32:29 00:17:32:38		$GEST^
00:17:32:38 00:17:33:09
00:17:33:09 00:17:33:18					I think it is true; it is a very friendly town.
00:17:33:18 00:17:33:20						YES1A*
00:17:33:20 00:17:33:21
00:17:33:21 00:17:33:26	It’s supposed to be the friendliest city.
00:17:33:26 00:17:33:32						SELF1A*		selbst
00:17:33:32 00:17:33:38
00:17:33:38 00:17:33:44						RIGHT-OR-AGREED1A*		stimmt
00:17:33:44 00:17:33:48
00:17:33:48 00:17:34:02		FRIENDLY2*		freundlich
00:17:34:02 00:17:34:17			FRIENDLY2*				freundlich
00:17:34:17 00:17:34:26
00:17:34:26 00:17:34:33						RIGHT-OR-AGREED1A		stimmt
00:17:34:33 00:17:34:41
00:17:34:41 00:17:34:48						AREA1A*		[MG]
00:17:34:48 00:17:35:12		CITY2		stadt
00:17:35:12 00:17:35:17
00:17:35:17 00:17:35:21
00:17:35:21 00:17:35:31						YES1A*		[MG]
00:17:35:31 00:17:35:44		AREA1A^*		deutschland
00:17:35:44 00:17:36:03
00:17:36:03 00:17:36:12								What a coincidence! It was said in the newspaper?
00:17:36:12 00:17:36:19
00:17:36:19 00:17:36:33	That’s what they wrote two years ago, yes.	$INDEX1
00:17:36:33 00:17:36:42
00:17:36:42 00:17:37:06		$NUM-YEAR-BEFORE-NOW1:2d		zwei
00:17:37:06 00:17:37:15
00:17:37:15 00:17:37:35		TO-PRINT1^
00:17:37:35 00:17:38:31
00:17:38:31 00:17:38:49	They had a survey, and the nicest people were supposed to live in Osnabrück.
00:17:38:49 00:17:39:07		SURVEY1*		umfrage
00:17:39:07 00:17:39:14
00:17:39:14 00:17:39:22
00:17:39:22 00:17:39:36		RESEARCH1A
00:17:39:36 00:17:39:40
00:17:39:40 00:17:39:48		$INDEX1
00:17:39:48 00:17:40:19
00:17:40:19 00:17:40:25		BEAUTIFUL1A*		schön
00:17:40:25 00:17:40:37
00:17:40:37 00:17:40:45		NICE1*		n{ett}
00:17:40:45 00:17:41:10
00:17:41:10 00:17:41:16		NICE1		nett
00:17:41:16 00:17:41:22
00:17:41:22 00:17:41:35		$GEST^
00:17:41:35 00:17:42:07
00:17:42:07 00:17:43:00
00:17:43:00 00:17:43:03
00:17:43:03 00:17:43:08		$ORAL^		osnabrück
00:17:43:08 00:17:43:21					True.
00:17:43:21 00:17:43:27						YES1A*
00:17:43:27 00:17:43:28
00:17:43:28 00:17:43:44
00:17:43:44 00:17:44:03	That's interesting.
00:17:44:03 00:17:44:13		INTEREST1A		interessant
00:17:44:13 00:17:44:17
00:17:44:17 00:17:44:20		$INDEX1
00:17:44:20 00:17:44:38
00:17:44:38 00:17:45:10	How strange that I've only been there once, even though I am from Bremen.
00:17:45:10 00:17:45:23		$ORAL^		aber
00:17:45:23 00:17:45:34
00:17:45:34 00:17:45:40		INTEREST1A
00:17:45:40 00:17:46:04
00:17:46:04 00:17:46:15		OSNABRÜCK1		osnabrück
00:17:46:15 00:17:46:26
00:17:46:26 00:17:46:32		$NUM-ONE-TO-TEN1A:2d
00:17:46:32 00:17:46:42
00:17:46:42 00:17:47:01		$NUM-ONE-TO-TEN1A:1d
00:17:47:01 00:17:47:04
00:17:47:04 00:17:47:18		BREMEN1		bremen
00:17:47:18 00:17:47:29
00:17:47:29 00:17:47:37		OSNABRÜCK1		osna{brück}
00:17:47:37 00:17:48:02
00:17:48:02 00:17:48:08		BEEN1		gewe{sen}
00:17:48:08 00:17:48:14
00:17:48:14 00:17:48:24	#Name1, or was it the both of you, no, I am pretty sure #it was Name1 who guided us.
00:17:48:24 00:17:48:38		$NAME		#name1
00:17:48:38 00:17:49:00
00:17:49:00 00:17:49:06		YOU1*		du
00:17:49:06 00:17:49:08
00:17:49:08 00:17:49:19		BOTH2A		beide
00:17:49:19 00:17:49:38
00:17:49:38 00:17:50:02		TO-LEAD1A		führ
00:17:50:02 00:17:50:17
00:17:50:17 00:17:50:21		TO-BELIEVE2B		glaube
00:17:50:21 00:17:50:26
00:17:50:26 00:17:50:34		$NAME		#name1
00:17:50:34 00:17:51:02
00:17:51:02 00:17:51:14		TO-LEAD1A		führ
00:17:51:14 00:17:51:40
00:17:51:40 00:17:51:42
00:17:51:42 00:17:52:00		$INDEX1
00:17:52:00 00:17:52:13
00:17:52:13 00:17:52:18		TO-LEAD1A		führen
00:17:52:18 00:17:52:21
00:17:52:21 00:17:52:25		BEEN1*		ge{wesen}
00:17:52:25 00:17:52:28
00:17:52:28 00:17:52:42		$INDEX1
00:17:52:42 00:17:53:06
00:17:53:06 00:17:53:25	Even though Osnabrück and Bremen are quite close to each other, architecture and style differ quite a bit.
00:17:53:25 00:17:53:39		CITY2		stadt
00:17:53:39 00:17:54:05
00:17:54:05 00:17:54:11		DIFFERENT1*		a{nders}
00:17:54:11 00:17:54:21
00:17:54:21 00:17:54:40		SHAPE1A*		form
00:17:54:40 00:17:55:02
00:17:55:02 00:17:55:17		STYLE2*		stil
00:17:55:17 00:17:55:29
00:17:55:29 00:17:55:39		DIFFERENT1*		an{ders}
00:17:55:39 00:17:55:43
00:17:55:43 00:17:56:01		IF1		ob
00:17:56:01 00:17:56:03
00:17:56:03 00:17:56:13		CLOSE-BY4
00:17:56:13 00:17:56:18
00:17:56:18 00:17:56:25		I1
00:17:56:25 00:17:56:34
00:17:56:34 00:17:56:36		YOU1*
00:17:56:36 00:17:56:39	It is only 100 km.
00:17:56:39 00:17:57:02		$NUM-HUNDREDS1:1		hundert
00:17:57:02 00:17:57:15
00:17:57:15 00:17:57:18		KILOMETRE1*
00:17:57:18 00:17:57:33
00:17:57:33 00:17:58:22		BACK-AND-FORTH1^*
00:17:58:22 00:17:58:28
00:17:58:28 00:17:58:46	It's interesting that the style is so different in each city.
00:17:58:46 00:17:59:10		STYLE2*		stil
00:17:59:10 00:17:59:29
00:17:59:29 00:18:00:06		DIFFERENT1		and{ers}
00:18:00:06 00:18:00:12
00:18:00:12 00:18:00:21		I1
00:18:00:21 00:18:00:36
00:18:00:36 00:18:01:22		DIFFERENT1		anderes
00:18:01:22 00:18:01:35
00:18:01:35 00:18:01:49		INTEREST1A		interessant
00:18:01:49 00:18:02:17
00:18:02:17 00:18:02:44					The buildings in Bremen mostly look like those over there in the Bismarckstraße [a street in Osnabrück].
00:18:02:44 00:18:03:01						TYPICAL1*		typisch
00:18:03:01 00:18:03:06
00:18:03:06 00:18:03:33						BREMEN1*		bremen
00:18:03:33 00:18:03:39
00:18:03:39 00:18:03:46						TO-BELONG1^		da
00:18:03:46 00:18:04:02
00:18:04:02 00:18:04:27						TRADITION3		tradition
00:18:04:27 00:18:05:26
00:18:05:26 00:18:06:17						HOUSE1A*		häuser
00:18:06:17 00:18:06:37
00:18:06:37 00:18:06:43						$PROD
00:18:06:43 00:18:07:06
00:18:07:06 00:18:07:39						$INDEX4		[MG]
00:18:07:39 00:18:08:08	Right.
00:18:08:08 00:18:08:19		YES2
00:18:08:19 00:18:08:21
00:18:08:21 00:18:08:22	Just like the Bremer Straße in Schwachhausen.
00:18:08:22 00:18:08:34		AUTUMN1^		schwachhausen
00:18:08:34 00:18:08:39
00:18:08:39 00:18:08:41						SERVICE-OR-DUTY3A^*		bismarkstraße
00:18:08:41 00:18:08:44		$MORPH-HAUSEN1*
00:18:08:44 00:18:09:03
00:18:09:03 00:18:09:08			STREET1A*
00:18:09:08 00:18:09:10
00:18:09:10 00:18:09:18
00:18:09:18 00:18:09:20		BREMEN1		bremer straße
00:18:09:20 00:18:09:34			$INDEX1
00:18:09:34 00:18:09:44
00:18:09:44 00:18:10:02		STREET1A
00:18:10:02 00:18:10:10
00:18:10:10 00:18:10:15	I didn't mean Bremer Straße, but the style of the houses in Bremen.				Bremer Straße/
00:18:10:15 00:18:10:21		BREMEN1		bremen		$GEST^
00:18:10:21 00:18:10:27
00:18:10:27 00:18:10:30			BREMEN1*				bremer straße
00:18:10:30 00:18:10:33
00:18:10:33 00:18:10:35
00:18:10:35 00:18:10:43						STREET1A*
00:18:10:43 00:18:10:45
00:18:10:45 00:18:10:48
00:18:10:48 00:18:11:02		BREMEN1*
00:18:11:02 00:18:11:08
00:18:11:08 00:18:11:19		BREMEN1*		bremer straße
00:18:11:19 00:18:11:24
00:18:11:24 00:18:11:29		STREET1A
00:18:11:29 00:18:11:32
00:18:11:32 00:18:11:35		NO2B*
00:18:11:35 00:18:11:43
00:18:11:43 00:18:12:07		BREMEN1		bremer haus
00:18:12:07 00:18:12:17
00:18:12:17 00:18:12:33		HOUSE1A
00:18:12:33 00:18:12:45
00:18:12:45 00:18:13:03	That's different!				I like the Bremer Haus [a hotel in Bremen].
00:18:13:03 00:18:13:07						BREMEN1*		bremer haus
00:18:13:07 00:18:13:10
00:18:13:10 00:18:13:15		DIFFERENT1		anderes
00:18:13:15 00:18:13:25						HOUSE1A
00:18:13:25 00:18:13:28
00:18:13:28 00:18:13:34						$INDEX1
00:18:13:34 00:18:13:44
00:18:13:44 00:18:14:00
00:18:14:00 00:18:14:01						I2
00:18:14:01 00:18:14:05	Right!
00:18:14:05 00:18:14:10
00:18:14:10 00:18:14:36						TO-LIKE4		mag
00:18:14:36 00:18:14:39		YES2			But those streets of houses are characteristic of Bremen.
00:18:14:39 00:18:15:10						STREET1A*
00:18:15:10 00:18:15:19
00:18:15:19 00:18:15:26
00:18:15:26 00:18:15:36						TYPICAL1*		typisch
00:18:15:36 00:18:15:39		YES2
00:18:15:39 00:18:15:48				TO-BELONG1^
00:18:15:48 00:18:16:06
00:18:16:06 00:18:16:17					Osnabrück has its own specific architectural style.
00:18:16:17 00:18:16:29						OSNABRÜCK1		osnabrück
00:18:16:29 00:18:16:34
00:18:16:34 00:18:16:39						$INDEX1
00:18:16:39 00:18:16:46
00:18:16:46 00:18:17:01						TO-BE-SILENT3^*		stil
00:18:17:01 00:18:17:05
00:18:17:05 00:18:17:07						TYPICAL1*		typisch
00:18:17:07 00:18:17:16
00:18:17:16 00:18:17:24
00:18:17:24 00:18:17:30					There are some mountains in the North of Osnabrück, quite close to the city.
00:18:17:30 00:18:17:40						$ALPHA1:D*		d{eponie}
00:18:17:40 00:18:18:03
00:18:18:03 00:18:18:08							FROM-OR-BY-OR-OF4	von
00:18:18:08 00:18:18:31
00:18:18:31 00:18:18:44						CLOSE-BY1B*		[MG]
00:18:18:44 00:18:19:00
00:18:19:00 00:18:19:05						OSNABRÜCK1*		osnabrück
00:18:19:05 00:18:19:11
00:18:19:11 00:18:19:23						CITY2*
00:18:19:23 00:18:19:28
00:18:19:28 00:18:20:09						$INDEX1*	LOCATION3*	[MG]
00:18:20:09 00:18:20:20
00:18:20:20 00:18:21:01							MOUNTAIN3	berg
00:18:21:01 00:18:21:03					There is a waste disposal site nowadays.
00:18:21:03 00:18:21:07						IN1		im
00:18:21:07 00:18:21:15
00:18:21:15 00:18:21:20						MOMENT1*		moment
00:18:21:20 00:18:21:36
00:18:21:36 00:18:22:05						GARBAGE3		mülldeponie
00:18:22:05 00:18:22:19
00:18:22:19 00:18:22:37						$ALPHA1:D
00:18:22:37 00:18:22:49
00:18:22:49 00:18:23:15						GARBAGE3		mülldeponie
00:18:23:15 00:18:23:20
00:18:23:20 00:18:23:37						$ALPHA1:D	$INDEX1
00:18:23:37 00:18:23:47
00:18:23:47 00:18:24:01					They used to dig up rocks.
00:18:24:01 00:18:24:26						EXCAVATOR1*		[MG]
00:18:24:26 00:18:24:34
00:18:24:34 00:18:25:04						STONE4B*		stein
00:18:25:04 00:18:25:24
00:18:25:24 00:18:25:47						$PROD		[MG]
00:18:25:47 00:18:26:02
00:18:26:02 00:18:26:04						$GEST^
00:18:26:04 00:18:26:11					Big yellow rocks.
00:18:26:11 00:18:26:17						YELLOW5*		gelb
00:18:26:17 00:18:26:28
00:18:26:28 00:18:26:32						STONE4B*	$PROD	stein
00:18:26:32 00:18:26:40
00:18:26:40 00:18:27:19						STONE1
00:18:27:19 00:18:27:31
00:18:27:31 00:18:27:47							$PROD
00:18:27:47 00:18:28:00
00:18:28:00 00:18:28:02					They used those in the past to build houses.
00:18:28:02 00:18:28:09						$INDEX1
00:18:28:09 00:18:28:16
00:18:28:16 00:18:28:23						PAST-OR-BACK-THEN1*		früh
00:18:28:23 00:18:28:30
00:18:28:30 00:18:29:22						TO-BUILD2A*		bauen
00:18:29:22 00:18:29:27
00:18:29:27 00:18:29:48						HOUSE1A		haus
00:18:29:48 00:18:30:15
00:18:30:15 00:18:30:19					The rocks the town hall is made of are from there, as well, because the mining area is nearby.
00:18:30:19 00:18:30:34						HENCE1		[MG]
00:18:30:34 00:18:30:47
00:18:30:47 00:18:31:01						YELLOW5		gelb
00:18:31:01 00:18:31:06
00:18:31:06 00:18:31:21						SOMETIMES2*		manchmal
00:18:31:21 00:18:31:27
00:18:31:27 00:18:31:31						$ALPHA1:R		rathaus
00:18:31:31 00:18:31:37
00:18:31:37 00:18:32:04						HOUSE1A
00:18:32:04 00:18:32:19
00:18:32:19 00:18:32:21						YELLOW5*		gelb
00:18:32:21 00:18:32:38
00:18:32:38 00:18:33:19						TO-PILE1A^*		stein
00:18:33:19 00:18:33:30
00:18:33:30 00:18:33:36						HENCE1		[MG]
00:18:33:36 00:18:33:46
00:18:33:46 00:18:34:01						YELLOW5		gelb
00:18:34:01 00:18:34:05
00:18:34:05 00:18:34:12						TO-BUILD2A*
00:18:34:12 00:18:34:21
00:18:34:21 00:18:34:30						NEXT-TO2		[MG]
00:18:34:30 00:18:34:42
00:18:34:42 00:18:35:40							$INDEX1*
00:18:35:40 00:18:36:02
00:18:36:02 00:18:36:16						$GEST-OFF1^
00:18:36:16 00:18:36:29
00:18:36:29 00:18:37:46
00:18:37:46 00:18:42:03									Are there many tourists coming to Osnabrück?
00:18:42:03 00:18:42:20					The number of tourists coming to Osnabrück is ordinary - no mass tourism.
00:18:42:20 00:18:42:24						SELF1A		selbst
00:18:42:24 00:18:42:27
00:18:42:27 00:18:42:30						PAST-OR-BACK-THEN1*		früher
00:18:42:30 00:18:42:38
00:18:42:38 00:18:43:02						UNTIL-NOW1		bis
00:18:43:02 00:18:43:13
00:18:43:13 00:18:43:16						TO-SEE1
00:18:43:16 00:18:43:26
00:18:43:26 00:18:43:38						USUAL1		normal
00:18:43:38 00:18:44:03
00:18:44:03 00:18:44:16						TOURIST1		tourist
00:18:44:16 00:18:44:18
00:18:44:18 00:18:44:21
00:18:44:21 00:18:44:27						REALLY2*		[MG]
00:18:44:27 00:18:44:36
00:18:44:36 00:18:45:01						POWER3		macht
00:18:45:01 00:18:45:13
00:18:45:13 00:18:45:21						TOURIST1*		tourist
00:18:45:21 00:18:45:31
00:18:45:31 00:18:45:45						NO1A*		[MG]
00:18:45:45 00:18:45:46
00:18:45:46 00:18:46:08	Bremen doesn't have that many tourists either.
00:18:46:08 00:18:46:19
00:18:46:19 00:18:47:24		BREMEN1*		[MG]
00:18:47:24 00:18:48:00
00:18:48:00 00:18:48:10		MUSCLE3^		[MG]
00:18:48:10 00:18:48:15
00:18:48:15 00:18:48:23		HERE1
00:18:48:23 00:18:48:30
00:18:48:30 00:18:49:09		$INDEX1
00:18:49:09 00:18:49:12
00:18:49:12 00:18:49:22	Yes, the number is rising. Still, there aren't that many.	HERE1		[MG]
00:18:49:22 00:18:49:27
00:18:49:27 00:18:49:43		TO-OWN1		[MG]	Although, the number of visitors keeps on rising.	$ORAL^		aber
00:18:49:43 00:18:49:44
00:18:49:44 00:18:50:06						INCREASE3		steig steig steig
00:18:50:06 00:18:50:20		NOW3*		j{etzt}
00:18:50:20 00:18:50:29
00:18:50:29 00:18:50:46		MORE8A*		steigt steigt
00:18:50:46 00:18:51:00
00:18:51:00 00:18:51:09		BUT1*		ab{er}
00:18:51:09 00:18:51:11
00:18:51:11 00:18:51:14	Hamburg and Berlin have tons of tourists compared to Bremen.
00:18:51:14 00:18:51:27		MUSCLE3^		[MG]
00:18:51:27 00:18:51:36
00:18:51:36 00:18:51:44
00:18:51:44 00:18:52:00		HAMBURG2		hamburg
00:18:52:00 00:18:52:11
00:18:52:11 00:18:52:24		BERLIN1A*		berlin
00:18:52:24 00:18:52:30
00:18:52:30 00:18:52:38		$INDEX1
00:18:52:38 00:18:52:45
00:18:52:45 00:18:53:16		PRIMARILY1
00:18:53:16 00:18:53:21
00:18:53:21 00:18:53:30		LEVEL-OR-STANDARD1		niveau
00:18:53:30 00:18:53:33
00:18:53:33 00:18:53:37
00:18:53:37 00:18:53:42		HERE1		hier
00:18:53:42 00:18:54:01
00:18:54:01 00:18:54:06		BREMEN1*
00:18:54:06 00:18:54:11
00:18:54:11 00:18:54:23		NO2A		nein
00:18:54:23 00:18:54:31		ALSO1A*		auch
00:18:54:31 00:18:54:36
00:18:54:36 00:18:54:44		PRESENT-OR-HERE1
00:18:54:44 00:18:54:45
00:18:54:45 00:18:55:05	The number rises.
00:18:55:05 00:18:55:10		$INDEX1		[MG]
00:18:55:10 00:18:55:15
00:18:55:15 00:18:55:30		MORE8A*		mehr mehr
00:18:55:30 00:18:55:31
00:18:55:31 00:18:55:33	Some places, like Bremerhaven, or the “Universum” [science museum in Bremen] are popular.
00:18:55:33 00:18:55:38		$INDEX1
00:18:55:38 00:18:55:42
00:18:55:42 00:18:56:03		BREMEN1*		bremerhaven
00:18:56:03 00:18:56:12
00:18:56:12 00:18:56:19		HARBOUR2*
00:18:56:19 00:18:56:26
00:18:56:26 00:18:56:28		$INDEX1*
00:18:56:28 00:18:56:31
00:18:56:31 00:18:56:37		GOOD4^
00:18:56:37 00:18:56:45
00:18:56:45 00:18:56:48		$INDEX1		universum
00:18:56:48 00:18:57:06
00:18:57:06 00:18:57:15		UNIVERSITY1^*
00:18:57:15 00:18:57:29		$PROD
00:18:57:29 00:18:57:31
00:18:57:31 00:18:57:39		$INDEX1
00:18:57:39 00:18:58:07
00:18:58:07 00:18:58:20		CERTAIN1*		bestimmte
00:18:58:20 00:18:58:28
00:18:58:28 00:18:58:34		$GEST^
00:18:58:34 00:18:58:43
00:18:58:43 00:18:59:08					Osnabrück has some interesting museums.
00:18:59:08 00:18:59:14						AND5*		und
00:18:59:14 00:18:59:25
00:18:59:25 00:19:00:26						MUSEUM1		museum
00:19:00:26 00:19:00:38
00:19:00:38 00:19:01:34						INTEREST1B		interessant
00:19:01:34 00:19:01:43
00:19:01:43 00:19:01:49						MUSEUM1*		museum
00:19:01:49 00:19:02:07
00:19:02:07 00:19:02:18						OSNABRÜCK1*		osnabrück
00:19:02:18 00:19:02:27
00:19:02:27 00:19:02:44						INTEREST1B		interessant
00:19:02:44 00:19:03:03
00:19:03:03 00:19:03:26						MUSEUM1		museum
00:19:03:26 00:19:03:37
00:19:03:37 00:19:03:44					Especially, those about Osnabrück's history.
00:19:03:44 00:19:04:14						PARTICULARLY1A		besonders
00:19:04:14 00:19:04:22
00:19:04:22 00:19:04:29						FROM-OR-BY-OR-OF2		von der
00:19:04:29 00:19:04:34
00:19:04:34 00:19:05:12						HISTORY-OR-STORY3*		geschichte
00:19:05:12 00:19:05:18
00:19:05:18 00:19:05:33						OSNABRÜCK1*		osnabrück
00:19:05:33 00:19:05:40
00:19:05:40 00:19:06:24						TO-BELONG1^	LOCATION3*
00:19:06:24 00:19:06:30
00:19:06:30 00:19:06:36					There is a historical retrospective on the time shortly before the war and on the epochs prior to that.
00:19:06:36 00:19:07:11						WAR1A		krieg
00:19:07:11 00:19:07:24
00:19:07:24 00:19:07:40						BEFOREHAND2		vor
00:19:07:40 00:19:07:48
00:19:07:48 00:19:08:04						WHAT-DOES-IT-LOOK-LIKE1		wie aus
00:19:08:04 00:19:08:15
00:19:08:15 00:19:09:23						BEFOREHAND2*		vor vor vor
00:19:09:23 00:19:09:27					It is quite interesting; you can view the entire history.
00:19:09:27 00:19:10:08						$INDEX1*	PROCEEDING1A^*	[MG]
00:19:10:08 00:19:10:12
00:19:10:12 00:19:10:40						INTEREST1A		interessant
00:19:10:40 00:19:11:02
00:19:11:02 00:19:11:06						ATTENTION1A^*
00:19:11:06 00:19:11:19
00:19:11:19 00:19:11:28					That's not too bad, but it is solely about the city, not about its surroundings.
00:19:11:28 00:19:11:31						NOT3B*		nicht
00:19:11:31 00:19:11:37
00:19:11:37 00:19:11:40						BAD-OR-STALE1*		schlecht
00:19:11:40 00:19:12:07
00:19:12:07 00:19:12:30
00:19:12:30 00:19:12:34						WHY3B*		warum
00:19:12:34 00:19:12:38
00:19:12:38 00:19:13:02						COUNTRY1A*		land
00:19:13:02 00:19:13:04
00:19:13:04 00:19:13:08						ONLY2A*		nur
00:19:13:08 00:19:13:16
00:19:13:16 00:19:13:23						CITY2*		stadt
00:19:13:23 00:19:13:33
00:19:13:33 00:19:13:37						OSNABRÜCK1*		osnabrück
00:19:13:37 00:19:13:41
00:19:13:41 00:19:14:24						TO-BELONG1^	LOCATION3*
00:19:14:24 00:19:14:27
00:19:14:27 00:19:14:33					It is a large museum.
00:19:14:33 00:19:14:49						BIG3B		groß
00:19:14:49 00:19:15:04
00:19:15:04 00:19:15:11						NOT3A*
00:19:15:11 00:19:15:15
00:19:15:15 00:19:15:25						SMALL11		klein
00:19:15:25 00:19:15:31
00:19:15:31 00:19:16:00						BIG3B		groß
00:19:16:00 00:19:16:31
00:19:16:31 00:19:17:00					Actually, there are two museums on that topic.
00:19:17:00 00:19:17:03						$NUM-ONE-TO-TEN1A:2		zwei
00:19:17:03 00:19:17:08
00:19:17:08 00:19:17:15						MUSEUM1*		museum
00:19:17:15 00:19:17:22
00:19:17:22 00:19:18:21						LOCATION1A^*
00:19:18:21 00:19:18:49
00:19:18:49 00:19:19:14					There are some other museums, as well.
00:19:19:14 00:19:19:21						MORE1	$NUM-ONE-TO-TEN1A:2d	noch mehr
00:19:19:21 00:19:19:26
00:19:19:26 00:19:19:43						MUSEUM1	TO-LIST1C^	museum
00:19:19:43 00:19:19:48
00:19:19:48 00:19:20:01					I haven't been there in a really long time. I would have to go there again to be able to talk about what they exhibit.
00:19:20:01 00:19:20:05						I1
00:19:20:05 00:19:20:12
00:19:20:12 00:19:20:38						LONG-TEMPORAL2		lange
00:19:20:38 00:19:20:48
00:19:20:48 00:19:21:04						ONCE-AGAIN2B		noch mal
00:19:21:04 00:19:21:12
00:19:21:12 00:19:21:16						TO-LOOK1*		schauen
00:19:21:16 00:19:21:22
00:19:21:22 00:19:21:30						INTO2*
00:19:21:30 00:19:21:38
00:19:21:38 00:19:21:49						WHAT1B		was
00:19:21:49 00:19:22:20
00:19:22:20 00:19:22:34
00:19:22:34 00:19:25:10									How many inhabitants does Bremen have?
00:19:25:10 00:19:26:15	Bremen has a population of approximately 650,000 or 750,000.
00:19:26:15 00:19:26:31		BREMEN1*		bremen
00:19:26:31 00:19:26:36
00:19:26:36 00:19:27:10		APPROXIMATELY1*		[MG]
00:19:27:10 00:19:27:24
00:19:27:24 00:19:28:04
00:19:28:04 00:19:28:14		$NUM-HUNDREDS1:6d*		sechshundertfünfzigtausend
00:19:28:14 00:19:28:18
00:19:28:18 00:19:28:26		$NUM-TENS2A:5*
00:19:28:26 00:19:28:34
00:19:28:34 00:19:28:44		$NUM-THOUSAND2*
00:19:28:44 00:19:28:49
00:19:28:49 00:19:29:11		$NUM-HUNDREDS1:7d*		siebenhundertfünfzig
00:19:29:11 00:19:29:17
00:19:29:17 00:19:29:37		$NUM-TENS2A:5*
00:19:29:37 00:19:29:45	No, it's 650,000 or 700,000.
00:19:29:45 00:19:30:04		ATTENTION1A^*
00:19:30:04 00:19:30:14
00:19:30:14 00:19:30:24		$NUM-HUNDREDS1:6d		sechshundertfünfzig
00:19:30:24 00:19:30:27
00:19:30:27 00:19:30:33		$NUM-TENS2A:5*
00:19:30:33 00:19:30:37
00:19:30:37 00:19:31:01		OR1*		oder
00:19:31:01 00:19:31:04					It must be 650,000. Bremerhaven has a population of 150,000, and Bremen has 500,000 inhabitants.
00:19:31:04 00:19:31:18		$NUM-HUNDREDS1:7d		siebenhunderttausend
00:19:31:18 00:19:31:25
00:19:31:25 00:19:31:41		$NUM-THOUSAND2*				$NUM-HUNDREDS1:6d		sechshunderfünfzigtausend
00:19:31:41 00:19:31:46
00:19:31:46 00:19:32:06
00:19:32:06 00:19:32:15						$NUM-TENS2A:5
00:19:32:15 00:19:32:23
00:19:32:23 00:19:32:36						$NUM-THOUSAND2*
00:19:32:36 00:19:33:03
00:19:33:03 00:19:33:16						$NUM-HUNDREDS1:6d		hundertfünfzigtausend
00:19:33:16 00:19:33:29
00:19:33:29 00:19:33:37						$NUM-TENS2A:5
00:19:33:37 00:19:33:41
00:19:33:41 00:19:34:01						$NUM-THOUSAND2*
00:19:34:01 00:19:34:06
00:19:34:06 00:19:34:28						$NUM-HUNDREDS1:1d*		einhundertfünfzigtausend
00:19:34:28 00:19:34:31
00:19:34:31 00:19:34:38						$NUM-TENS2A:5
00:19:34:38 00:19:34:49
00:19:34:49 00:19:35:11						$NUM-THOUSAND2*
00:19:35:11 00:19:35:29
00:19:35:29 00:19:35:34						BREMEN1*		bremerhaven
00:19:35:34 00:19:35:41
00:19:35:41 00:19:35:43						HARBOUR2*
00:19:35:43 00:19:36:00
00:19:36:00 00:19:36:10						$INDEX1
00:19:36:10 00:19:36:30
00:19:36:30 00:19:36:35						HERE1
00:19:36:35 00:19:36:45
00:19:36:45 00:19:37:08						BREMEN1		bremen
00:19:37:08 00:19:37:21
00:19:37:21 00:19:37:29						$NUM-HUNDREDS1:5		fünfhunderttausend
00:19:37:29 00:19:37:33
00:19:37:33 00:19:37:45						$NUM-THOUSAND2*
00:19:37:45 00:19:38:31
00:19:38:31 00:19:39:29
00:19:39:29 00:19:39:45	Osnabrück has a lower population, doesn't it?
00:19:39:45 00:19:39:47		$INDEX1
00:19:39:47 00:19:40:06
00:19:40:06 00:19:40:13		OSNABRÜCK1*		osna{brück}
00:19:40:13 00:19:40:22
00:19:40:22 00:19:40:35		LITTLE-BIT9		[MG]
00:19:40:35 00:19:40:47
00:19:40:47 00:19:41:11		$INDEX1			160,000.
00:19:41:11 00:19:41:15				$NUM-HUNDREDS1:1			hundertsechzigtausend
00:19:41:15 00:19:41:18
00:19:41:18 00:19:41:26
00:19:41:26 00:19:41:34						$NUM-TENS2A:6d
00:19:41:34 00:19:41:43
00:19:41:43 00:19:42:03						$NUM-THOUSAND1
00:19:42:03 00:19:42:15
00:19:42:15 00:19:42:17
00:19:42:17 00:19:42:44	That's nothing!
00:19:42:44 00:19:43:01		ROUND6A^*		[MG]
00:19:43:01 00:19:43:09								What's a large town close to Osnabrück?
00:19:43:09 00:19:43:25
00:19:43:25 00:19:45:45
00:19:45:45 00:19:47:13					In Lower Saxony?
00:19:47:13 00:19:47:47						$GEST^			ach so
00:19:47:47 00:19:47:48
00:19:47:48 00:19:48:03						TO-BELONG1^*
00:19:48:03 00:19:48:04
00:19:48:04 00:19:48:15
00:19:48:15 00:19:48:31						LOWER-SAXONY1A*		niedersachsen
00:19:48:31 00:19:49:14
00:19:49:14 00:19:49:32						ROUND4A^
00:19:49:32 00:19:49:36
00:19:49:36 00:19:49:45					That would be Hanover; followed by the next largest cities Hildesheim, Göttingen, Osnabrück, Oldenburg/
00:19:49:45 00:19:50:09						HANOVER1*		hannover
00:19:50:09 00:19:50:16
00:19:50:16 00:19:52:32						$INDEX1
00:19:52:32 00:19:52:40
00:19:52:40 00:19:52:45
00:19:52:45 00:19:53:01						I1
00:19:53:01 00:19:53:08
00:19:53:08 00:19:53:35						TO-WAVER1		[MG]
00:19:53:35 00:19:54:03
00:19:54:03 00:19:54:39						HILDESHEIM3A*		hildesheim
00:19:54:39 00:19:55:04
00:19:55:04 00:19:55:40						GÖTTINGEN1B		göttingen
00:19:55:40 00:19:56:24
00:19:56:24 00:19:56:36	Kassel, maybe?
00:19:56:36 00:19:56:41						OSNABRÜCK1*		osna{brück}
00:19:56:41 00:19:56:49		TITLE-LABEL1A^		kassel
00:19:56:49 00:19:57:17
00:19:57:17 00:19:57:25
00:19:57:25 00:19:57:35		MAYBE1				OLDENBURG1B	$INDEX1	oldenburg
00:19:57:35 00:19:57:49
00:19:57:49 00:19:58:18		TITLE-LABEL1A^*
00:19:58:18 00:19:58:24
00:19:58:24 00:19:58:28	Right, not Kassel; I've got that one wrong.				No, Kassel is located in Hesse.
00:19:58:28 00:19:58:32		NO1A*
00:19:58:32 00:19:58:36				TITLE-LABEL1A^			kassel
00:19:58:36 00:19:58:40
00:19:58:40 00:19:58:46
00:19:58:46 00:19:58:47						NO1A
00:19:58:47 00:19:59:03		SASH1D^*		kassel
00:19:59:03 00:19:59:05
00:19:59:05 00:19:59:11
00:19:59:11 00:19:59:16		NO2B
00:19:59:16 00:19:59:25						HESSE1A		hessen
00:19:59:25 00:19:59:30		TO-KNOW-STH-OR-SB1A*
00:19:59:30 00:19:59:41				NO2B*
00:19:59:41 00:20:00:03
00:20:00:03 00:20:00:11				I'm not sure about the second largest city, though.
00:20:00:11 00:20:00:15						$INDEX1*
00:20:00:15 00:20:00:31		$GEST^
00:20:00:31 00:20:01:06
00:20:01:06 00:20:01:10
00:20:01:10 00:20:01:12						I2
00:20:01:12 00:20:01:26						TO-WAVER1*		[MG]
00:20:01:26 00:20:01:34
00:20:01:34 00:20:02:30							$INDEX1*
00:20:02:30 00:20:02:42
00:20:02:42 00:20:02:44					Those cities don't differ greatly in number of inhabitants anyways.
00:20:02:44 00:20:03:01						AVERAGE1A		durchschnitt
00:20:03:01 00:20:03:10
00:20:03:10 00:20:03:22						DIFFERENCE2*
00:20:03:22 00:20:03:31
00:20:03:31 00:20:03:36						AVERAGE1A		durchschnitt
00:20:03:36 00:20:03:41
00:20:03:41 00:20:04:00						DIFFERENCE2*
00:20:04:00 00:20:04:06
00:20:04:06 00:20:04:36							$INDEX1*
00:20:04:36 00:20:04:40
00:20:04:40 00:20:04:46						AVERAGE1A		durchschnitt
00:20:04:46 00:20:05:01
00:20:05:01 00:20:05:07						$GEST^
00:20:05:07 00:20:05:23
00:20:05:23 00:20:06:13
00:20:06:13 00:20:06:21	Still, Osnabrück is larger than Oldenburg.
00:20:06:21 00:20:06:36		$INDEX1
00:20:06:36 00:20:06:49
00:20:06:49 00:20:08:05		OLDENBURG1B		oldenburg
00:20:08:05 00:20:08:16
00:20:08:16 00:20:08:22		$INDEX1		osnabrück
00:20:08:22 00:20:08:28
00:20:08:28 00:20:08:33		OSNABRÜCK1*
00:20:08:33 00:20:08:38
00:20:08:38 00:20:08:45		BIG3A*		groß
00:20:08:45 00:20:09:00
00:20:09:00 00:20:09:05		AS3		als
00:20:09:05 00:20:09:08
00:20:09:08 00:20:09:27		OLDENBURG1B		oldenburg
00:20:09:27 00:20:09:34					That's not true at the moment.
00:20:09:34 00:20:09:38						$GEST^
00:20:09:38 00:20:09:42
00:20:09:42 00:20:09:46						NOW1		jetzt
00:20:09:46 00:20:10:07
00:20:10:07 00:20:10:11						MOMENT1*		moment
00:20:10:11 00:20:10:19
00:20:10:19 00:20:10:27						NOT-ANYMORE1B		nicht mehr
00:20:10:27 00:20:10:45	Oldenburg is larger than Osnabrück? Where have you heard that?
00:20:10:45 00:20:10:47
00:20:10:47 00:20:11:01		OSNABRÜCK1*		oldenburg
00:20:11:01 00:20:11:03
00:20:11:03 00:20:11:06						NOW1		j{etzt}
00:20:11:06 00:20:11:10		OLDENBURG1B*
00:20:11:10 00:20:11:19					Yes, Osnabrück is no longer the bigger city.
00:20:11:19 00:20:11:26		BIG3A*		groß
00:20:11:26 00:20:11:36						$INDEX1	ja
00:20:11:36 00:20:12:28
00:20:12:28 00:20:12:33
00:20:12:33 00:20:12:45						NOT-ANYMORE1B		nicht mehr
00:20:12:45 00:20:13:17
00:20:13:17 00:20:13:21		BEAUTIFUL3		schön
00:20:13:21 00:20:13:24
00:20:13:24 00:20:13:33
00:20:13:33 00:20:13:42		TO-SEE1
00:20:13:42 00:20:14:02		$INDEX1
00:20:14:02 00:20:14:19
00:20:14:19 00:20:17:14
00:20:17:14 00:20:17:27	Osnabrück is situated beautifully.
00:20:17:27 00:20:17:31		RIGHT-OR-AGREED1A		stimmt
00:20:17:31 00:20:17:35
00:20:17:35 00:20:17:43		$INDEX1
00:20:17:43 00:20:18:00
00:20:18:00 00:20:18:09		$NUM-ONE-TO-TEN1A:1d		eins
00:20:18:09 00:20:18:15
00:20:18:15 00:20:18:22		BEAUTIFUL1A		schön
00:20:18:22 00:20:18:29
00:20:18:29 00:20:18:46		LANDSCAPE1*		landschaft
00:20:18:46 00:20:19:05
00:20:19:05 00:20:19:10		RIGHT-OR-AGREED1A		stimm{t}
00:20:19:10 00:20:19:18
00:20:19:18 00:20:19:33		CLOSE-BY1B*		[MG]
00:20:19:33 00:20:19:40
00:20:19:40 00:20:19:44	It is great for riding a motorcycle.
00:20:19:44 00:20:19:48		I1
00:20:19:48 00:20:20:01
00:20:20:01 00:20:20:06		$GEST^
00:20:20:06 00:20:20:12
00:20:20:12 00:20:20:20		$INDEX1
00:20:20:20 00:20:20:23
00:20:20:23 00:20:20:29		FEELING3*
00:20:20:29 00:20:20:33
00:20:20:33 00:20:20:38		$GEST^
00:20:20:38 00:20:20:42
00:20:20:42 00:20:20:46		I2*
00:20:20:46 00:20:21:01
00:20:21:01 00:20:21:05		TOGETHER1A
00:20:21:05 00:20:21:08
00:20:21:08 00:20:21:13		MOTORCYCLE1A*		mo{torrad}
00:20:21:13 00:20:21:19
00:20:21:19 00:20:21:31		$PROD
00:20:21:31 00:20:22:03
00:20:22:03 00:20:22:12		BEAUTIFUL1A*		schö{n}
00:20:22:12 00:20:22:13
00:20:22:13 00:20:22:18	There are some great opportunities for biking nearby.
00:20:22:18 00:20:22:30		CLOSE-BY1B*		[MG]
00:20:22:30 00:20:22:37
00:20:22:37 00:20:23:06		POSSIBLE1*		möglich
00:20:23:06 00:20:23:13
00:20:23:13 00:20:23:24		RIGHT-OR-AGREED1A		stimmt
00:20:23:24 00:20:23:39
00:20:23:39 00:20:24:10					The area is great for biking!
00:20:24:10 00:20:24:16						I1		für
00:20:24:16 00:20:24:32
00:20:24:32 00:20:24:38						MOTORCYCLE1A*		motorradtour
00:20:24:38 00:20:24:42
00:20:24:42 00:20:25:00						TOURIST1*
00:20:25:00 00:20:25:03
00:20:25:03 00:20:25:09						SUPER2		[MG]
00:20:25:09 00:20:25:36

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