1292458 (mst14): Subject Areas

Topics City and Country; City and Country: Berlin; City and Country: Europe; City and Country: Home(land); City and Country: Rural Exodus; City and Country: USA; Clothing and Fashion; Family and Relatives; Period of Life; Period of Life: Age; Politics: Demographic Change; Politics: USA; Society: Demographic Change; Traffic; Vacation, Free Time, Traveling: Abroad; Vacation, Free Time, Traveling: Berlin; Vacation, Free Time, Traveling: Traveling

Time	Translation	Lexem/Gebärde		Mouth	Translation	Lexeme/Sign		Mouth	Moderator
Time	Translation	right hand	left hand	Mouth	Translation	right hand	left hand	Mouth	Moderator
00:00:00:00 00:00:00:13	Right, I actually grew up in the city.
00:00:00:13 00:00:00:23		RIGHT-OR-AGREED1A		[MG]
00:00:00:23 00:00:00:32
00:00:00:32 00:00:00:42		ACTUALLY1A		eigentlich
00:00:00:42 00:00:01:13
00:00:01:13 00:00:01:29		TO-GROW-UP1B*		aufgewachsen
00:00:01:29 00:00:01:33
00:00:01:33 00:00:01:41		CITY2		stadt
00:00:01:41 00:00:02:09
00:00:02:09 00:00:02:11		I1*
00:00:02:11 00:00:02:20
00:00:02:20 00:00:02:29	Normally, yes.
00:00:02:29 00:00:02:42		USUALLY1*		normalerweise
00:00:02:42 00:00:03:02
00:00:03:02 00:00:03:16		YES1A*		ja
00:00:03:16 00:00:03:27
00:00:03:27 00:00:03:33	But sometimes I talk to people who come from a real big city, like Leipzig, for example.
00:00:03:33 00:00:03:40		SUDDENLY4*		[MG]
00:00:03:40 00:00:04:03
00:00:04:03 00:00:04:06		IF-OR-WHEN1A		wenn
00:00:04:06 00:00:04:14
00:00:04:14 00:00:04:19		TODAY3		heute
00:00:04:19 00:00:04:27
00:00:04:27 00:00:04:47		TO-SIGN1C
00:00:04:47 00:00:05:00
00:00:05:00 00:00:05:03		WITH1A		mit
00:00:05:03 00:00:05:08
00:00:05:08 00:00:05:20		DIFFERENT2*		anderen
00:00:05:20 00:00:05:27
00:00:05:27 00:00:05:36		PEOPLE2*
00:00:05:36 00:00:05:42
00:00:05:42 00:00:05:44		$INDEX1*
00:00:05:44 00:00:06:04
00:00:06:04 00:00:06:09		SELF2*		se{lbst}
00:00:06:09 00:00:06:24
00:00:06:24 00:00:06:29		REALLY2
00:00:06:29 00:00:06:35
00:00:06:35 00:00:06:49		TO-COME2		kommt
00:00:06:49 00:00:07:08
00:00:07:08 00:00:07:14		$CUED-SPEECH*		von
00:00:07:14 00:00:07:25
00:00:07:25 00:00:07:36		BIG3C*		großstadt
00:00:07:36 00:00:08:01
00:00:08:01 00:00:08:05		CITY2*
00:00:08:05 00:00:08:09
00:00:08:09 00:00:08:14		EXAMPLE1*		zum beispiel
00:00:08:14 00:00:08:26
00:00:08:26 00:00:08:42		LEIPZIG1A*		leipzig
00:00:08:42 00:00:09:00
00:00:09:00 00:00:09:05	Just recently I met a person from Leipzig.
00:00:09:05 00:00:09:16		RECENTLY1B		[MG]
00:00:09:16 00:00:09:30
00:00:09:30 00:00:09:33		TO-GET-TO-KNOW1*		kennenlern
00:00:09:33 00:00:09:39
00:00:09:39 00:00:09:45		ON-PERSON1
00:00:09:45 00:00:10:01
00:00:10:01 00:00:10:15		TO-SIGN1C
00:00:10:15 00:00:10:20
00:00:10:20 00:00:10:23		$INDEX1
00:00:10:23 00:00:10:33
00:00:10:33 00:00:10:45		LEIPZIG1A*		leipzig
00:00:10:45 00:00:11:10
00:00:11:10 00:00:11:14		SELF2*
00:00:11:14 00:00:11:28
00:00:11:28 00:00:11:29		$GEST-OFF1^
00:00:11:29 00:00:11:36
00:00:11:36 00:00:11:43		SELF2*		selbst
00:00:11:43 00:00:12:01
00:00:12:01 00:00:12:03	I told them I was from Unna.
00:00:12:03 00:00:12:08		YES1A*		ja
00:00:12:08 00:00:12:24
00:00:12:24 00:00:12:25		$INDEX1
00:00:12:25 00:00:12:26
00:00:12:26 00:00:13:06		$NAME		unna
00:00:13:06 00:00:13:09
00:00:13:09 00:00:13:14	They laughed.	$NAME		er
00:00:13:14 00:00:13:24
00:00:13:24 00:00:13:43		TO-LAUGH2		[MG]
00:00:13:43 00:00:14:08
00:00:14:08 00:00:14:12		$INDEX1
00:00:14:12 00:00:14:43
00:00:14:43 00:00:15:00	“You live in the countryside.”
00:00:15:00 00:00:15:04		TO-SAY1		sagt
00:00:15:04 00:00:15:06
00:00:15:06 00:00:15:15		YOU1		du
00:00:15:15 00:00:15:28
00:00:15:28 00:00:15:33		APARTMENT5*		wohn{st}
00:00:15:33 00:00:15:44
00:00:15:44 00:00:16:03		COUNTRY3A*		land
00:00:16:03 00:00:16:10
00:00:16:10 00:00:16:11	“No! It really, officially, is a small town.
00:00:16:11 00:00:16:15			I2*
00:00:16:15 00:00:16:35
00:00:16:35 00:00:16:47			NO2A	nein
00:00:16:47 00:00:17:21
00:00:17:21 00:00:17:26		SMALL11		kleinstadt
00:00:17:26 00:00:17:30
00:00:17:30 00:00:17:35		CITY2
00:00:17:35 00:00:17:45
00:00:17:45 00:00:18:02		REALLY2		[MG]
00:00:18:02 00:00:18:12
00:00:18:12 00:00:18:25		OFFICIAL3*		offiziell
00:00:18:25 00:00:18:28
00:00:18:28 00:00:18:40	Just look at it.”
00:00:18:40 00:00:18:41		TO-LOOK1*
00:00:18:41 00:00:18:48
00:00:18:48 00:00:19:04		CITY2*		stadt
00:00:19:04 00:00:19:15
00:00:19:15 00:00:19:16		SELF2*
00:00:19:16 00:00:19:21
00:00:19:21 00:00:19:35		TO-LOOK2*		schau
00:00:19:35 00:00:19:38
00:00:19:38 00:00:19:39	“Oh, there’s nothing there!
00:00:19:39 00:00:19:42		$INDEX1
00:00:19:42 00:00:20:08
00:00:20:08 00:00:20:16		NOTHING1A		nichts
00:00:20:16 00:00:20:23
00:00:20:23 00:00:20:26		$INDEX1
00:00:20:26 00:00:20:46
00:00:20:46 00:00:21:08	It’s like in the countryside, just areas of land everywhere.”
00:00:21:08 00:00:21:14		COUNTRY3B*		land
00:00:21:14 00:00:21:20
00:00:21:20 00:00:21:28		WHAT-DOES-IT-LOOK-LIKE1		wie sieht aus
00:00:21:28 00:00:21:35
00:00:21:35 00:00:21:36		PURE-OR-SHEER1*
00:00:21:36 00:00:21:44
00:00:21:44 00:00:22:07		COUNTRY3A*		land land
00:00:22:07 00:00:22:10
00:00:22:10 00:00:22:48		$INDEX1*		[MG]
00:00:22:48 00:00:23:00	I just thought to myself, “Okay.”
00:00:23:00 00:00:23:06		I1
00:00:23:06 00:00:23:25
00:00:23:25 00:00:23:35		OKAY1A		okay
00:00:23:35 00:00:23:43
00:00:23:43 00:00:23:44	I’m aware there are differences.
00:00:23:44 00:00:24:03		DISTINCT1*		[MG]
00:00:24:03 00:00:24:11
00:00:24:11 00:00:24:16		TO-KNOW-STH2B*		weiß
00:00:24:16 00:00:24:17
00:00:24:17 00:00:24:32		DISTINCT1*		verschied
00:00:24:32 00:00:24:40
00:00:24:40 00:00:25:00	Interesting, the way they and others view it.	INTEREST1B		interessant
00:00:25:00 00:00:25:21
00:00:25:21 00:00:25:28		WHAT1A		was
00:00:25:28 00:00:25:37
00:00:25:37 00:00:25:40		HIS-HER1*
00:00:25:40 00:00:26:03
00:00:26:03 00:00:26:11		TO-KNOW-STH2A		weiß
00:00:26:11 00:00:26:19
00:00:26:19 00:00:26:35		PEOPLE2
00:00:26:35 00:00:26:42
00:00:26:42 00:00:27:06		LIKE-THIS1A*		so so
00:00:27:06 00:00:27:11
00:00:27:11 00:00:27:17	But to me, I definitely grew up in a city.	I1*		aber ich
00:00:27:17 00:00:27:30
00:00:27:30 00:00:28:14		REALLY2
00:00:28:14 00:00:28:22
00:00:28:22 00:00:28:32		CITY2*		stadt
00:00:28:32 00:00:28:42
00:00:28:42 00:00:29:04		TO-GROW-UP1B		[MG]
00:00:29:04 00:00:29:12
00:00:29:12 00:00:29:16		I1*
00:00:29:16 00:00:29:22
00:00:29:22 00:00:29:42		$GEST-OFF1^*
00:00:29:42 00:00:30:02
00:00:30:02 00:00:30:10	That’s how I feel, because I had little to do with the countryside.
00:00:30:10 00:00:30:17		FOR1*		für
00:00:30:17 00:00:30:44
00:00:30:44 00:00:31:05		$GEST-OFF1^*
00:00:31:05 00:00:31:06
00:00:31:06 00:00:31:15		WHERE-FROM1^*		warum
00:00:31:15 00:00:31:34
00:00:31:34 00:00:31:42		COUNTRY3A*		land
00:00:31:42 00:00:32:04
00:00:32:04 00:00:32:19		DEPENDENT3		[MG]
00:00:32:19 00:00:32:27
00:00:32:27 00:00:32:34		LITTLE-BIT9*		wenig
00:00:32:34 00:00:32:38
00:00:32:38 00:00:32:41					Yes, same with me.
00:00:32:41 00:00:32:46		I1*
00:00:32:46 00:00:33:13
00:00:33:13 00:00:33:21						$INDEX2		stimmt
00:00:33:21 00:00:33:26
00:00:33:26 00:00:33:35						EQUAL8*
00:00:33:35 00:00:33:45
00:00:33:45 00:00:34:10						I1*
00:00:34:10 00:00:34:12
00:00:34:12 00:00:34:24
00:00:34:24 00:00:34:46					I think/
00:00:34:46 00:00:35:11						TO-BELIEVE2A*		glaube
00:00:35:11 00:00:35:12
00:00:35:12 00:00:35:35									Where did you grow up?
00:00:35:35 00:00:35:40					I grew up in the city.
00:00:35:40 00:00:35:45						TO-GROW-UP1A*		auf
00:00:35:45 00:00:35:46
00:00:35:46 00:00:36:01						I2*
00:00:36:01 00:00:36:08
00:00:36:08 00:00:36:14						CITY2*		stadt
00:00:36:14 00:00:36:20
00:00:36:20 00:00:36:29						$GEST^
00:00:36:29 00:00:36:34
00:00:36:34 00:00:36:38					I don’t know how farmers work.	I1*
00:00:36:38 00:00:36:40
00:00:36:40 00:00:36:48						NONE1*		kei{n}
00:00:36:48 00:00:37:08
00:00:37:08 00:00:37:12						FARMER1*		bauer
00:00:37:12 00:00:37:19
00:00:37:19 00:00:37:24						TO-WORK1*		arbeit
00:00:37:24 00:00:37:33
00:00:37:33 00:00:37:39						ZERO1A*		null
00:00:37:39 00:00:38:09
00:00:38:09 00:00:38:12						$GEST-OFF1^*
00:00:38:12 00:00:38:18
00:00:38:18 00:00:38:23					You just grow up in the city.
00:00:38:23 00:00:38:29						CITY2*		stadt
00:00:38:29 00:00:38:43
00:00:38:43 00:00:38:47						TO-GROW-UP1A*		[MG]
00:00:38:47 00:00:39:04
00:00:39:04 00:00:39:07						$GEST-OFF1^*
00:00:39:07 00:00:39:10
00:00:39:10 00:00:39:12					It’s the same for me.
00:00:39:12 00:00:39:15						TO-BELIEVE2A*		selbe
00:00:39:15 00:00:39:21
00:00:39:21 00:00:39:28						SAME3*
00:00:39:28 00:00:39:33
00:00:39:33 00:00:39:45						$GEST-OFF1^*		stimmt
00:00:39:45 00:00:40:25
00:00:40:25 00:00:40:37									Asks whether he could imagine living in the countryside, where there are only few other houses.
00:00:40:37 00:00:47:47
00:00:47:47 00:00:47:48					Yes, that’s extreme, I couldn’t do that.
00:00:47:48 00:00:48:43						$ORAL^		okay ja
00:00:48:43 00:00:49:03
00:00:49:03 00:00:49:12						TO-EXAGGERATE1*		übertrieb
00:00:49:12 00:00:49:19
00:00:49:19 00:00:49:20						$INDEX1*
00:00:49:20 00:00:49:47
00:00:49:47 00:00:50:09						POSSIBLE1*
00:00:50:09 00:00:50:21
00:00:50:21 00:00:50:26					I definitely need some kind of connection.	I2*
00:00:50:26 00:00:50:39
00:00:50:39 00:00:50:41						TO-NEED1		brauche
00:00:50:41 00:00:51:01
00:00:51:01 00:00:51:10						LINK1*		verbindung
00:00:51:10 00:00:51:17
00:00:51:17 00:00:51:18						$INDEX1*
00:00:51:18 00:00:51:23
00:00:51:23 00:00:51:28					That’s bad there.
00:00:51:28 00:00:51:37						BAD-OR-STALE2A
00:00:51:37 00:00:51:45
00:00:51:45 00:00:52:21						$GEST-OFF1^
00:00:52:21 00:00:52:25
00:00:52:25 00:00:52:36					Deaf people need contact, of course.
00:00:52:36 00:00:52:41						DEAF1A
00:00:52:41 00:00:52:49
00:00:52:49 00:00:53:04						$INDEX1
00:00:53:04 00:00:53:10
00:00:53:10 00:00:53:14						CONTACT2A*
00:00:53:14 00:00:53:22
00:00:53:22 00:00:53:28						CLEAR1A*		klar
00:00:53:28 00:00:53:37
00:00:53:37 00:00:54:04					I can deal with the quiet.
00:00:54:04 00:00:54:09						OPINION1A		meine
00:00:54:09 00:00:54:13
00:00:54:13 00:00:54:17						$GEST^
00:00:54:17 00:00:54:28
00:00:54:28 00:00:54:34						SILENCE1		ruhe
00:00:54:34 00:00:54:38
00:00:54:38 00:00:54:44						AREA1A*
00:00:54:44 00:00:55:01
00:00:55:01 00:00:55:06						CAN1		kann
00:00:55:06 00:00:55:13
00:00:55:13 00:00:55:28						$GEST-OFF1^*
00:00:55:28 00:00:55:40					But fully living in the countryside, I can’t do that.
00:00:55:40 00:00:55:45						BUT1*		aber
00:00:55:45 00:00:57:03
00:00:57:03 00:00:57:10						COUNTRY3A*		land
00:00:57:10 00:00:57:15
00:00:57:15 00:00:57:25						POSSIBLE1*		[MG]
00:00:57:25 00:00:57:27
00:00:57:27 00:00:57:28					I’d prefer the city, where everything is nearby and one can get everywhere fast.	$INDEX1
00:00:57:28 00:00:57:32
00:00:57:32 00:00:57:40						CITY2*		stadt
00:00:57:40 00:00:57:46
00:00:57:46 00:00:57:48						BETTER1*		besser
00:00:57:48 00:00:58:08
00:00:58:08 00:00:58:21						SHORT3A*		[MG]
00:00:58:21 00:00:58:28
00:00:58:28 00:00:58:35						$INDEX1
00:00:58:35 00:00:58:38
00:00:58:38 00:00:58:45					That’s not the case in the countryside.
00:00:58:45 00:00:59:01						NOT3A		nicht
00:00:59:01 00:00:59:11
00:00:59:11 00:00:59:21						COUNTRY3A*		land
00:00:59:21 00:00:59:34
00:00:59:34 00:00:59:36	Well, it depends, for example:
00:00:59:36 00:00:59:45						NOT3A
00:00:59:45 00:01:00:04
00:01:00:04 00:01:00:13		RIGHT-OR-AGREED1^*		[MG]
00:01:00:13 00:01:00:25
00:01:00:25 00:01:00:34
00:01:00:34 00:01:01:02		$GEST^
00:01:01:02 00:01:01:18
00:01:01:18 00:01:01:27		DEPENDENT3*		abhängig
00:01:01:27 00:01:01:42
00:01:01:42 00:01:02:05		EXAMPLE1*		zum beispiel
00:01:02:05 00:01:02:10
00:01:02:10 00:01:02:20	Right now, Unna is small, but that’s okay.
00:01:02:20 00:01:02:27		NOW3
00:01:02:27 00:01:03:03
00:01:03:03 00:01:03:11		$NAME		unna
00:01:03:11 00:01:03:16
00:01:03:16 00:01:03:22		$NAME		[MG]
00:01:03:22 00:01:03:33
00:01:03:33 00:01:03:41		OKAY1A		okay
00:01:03:41 00:01:04:09
00:01:04:09 00:01:04:13	It has a good dimension, it’s quite pleasant.
00:01:04:13 00:01:04:23		TO-MEASURE1A		maß
00:01:04:23 00:01:04:32
00:01:04:32 00:01:04:41		LIKE-HOW1A*		wie
00:01:04:41 00:01:05:01
00:01:05:01 00:01:05:19		PLEASANT2		angenehm
00:01:05:19 00:01:05:27
00:01:05:27 00:01:05:39		AREA1A*
00:01:05:39 00:01:05:40
00:01:05:40 00:01:05:48	Right, it’s not as overcrowded as Essen for example.
00:01:05:48 00:01:06:02		RIGHT-OR-AGREED2*		stimmt
00:01:06:02 00:01:06:15
00:01:06:15 00:01:06:19		NOT3A		nicht
00:01:06:19 00:01:06:29
00:01:06:29 00:01:06:37		CLOGGED1*		[MG]
00:01:06:37 00:01:06:46
00:01:06:46 00:01:06:47		$INDEX1*
00:01:06:47 00:01:07:16
00:01:07:16 00:01:07:27		ESSEN-CITY1*		essen
00:01:07:27 00:01:07:35	It does take a different form there.
00:01:07:35 00:01:07:42		ALREADY1A		schon
00:01:07:42 00:01:08:08
00:01:08:08 00:01:08:11		DIFFERENT1		anders
00:01:08:11 00:01:08:18
00:01:08:18 00:01:08:30		SHAPE1A		form
00:01:08:30 00:01:09:01
00:01:09:01 00:01:09:08	I lived in Essen myself until now and it didn’t bother me that there was so much going on.
00:01:09:08 00:01:09:12		ESSEN-CITY1*		essen
00:01:09:12 00:01:09:24
00:01:09:24 00:01:09:30		SELF1A		selbst
00:01:09:30 00:01:09:37
00:01:09:37 00:01:09:43			NOW3*	jetzt
00:01:09:43 00:01:10:00
00:01:10:00 00:01:10:03		ESSEN-CITY1*		essen
00:01:10:03 00:01:10:13
00:01:10:13 00:01:10:21		APARTMENT5		wohnen
00:01:10:21 00:01:10:27
00:01:10:27 00:01:10:29		I1
00:01:10:29 00:01:10:39
00:01:10:39 00:01:11:03		CLUELESS1A		luft
00:01:11:03 00:01:11:18
00:01:11:18 00:01:11:27		LIKE-HOW1A		wie	You’re used to it.
00:01:11:27 00:01:11:38
00:01:11:38 00:01:11:47		AREA1A*		[MG]		HABIT1*		gewohnt gewohnt
00:01:11:47 00:01:12:12
00:01:12:12 00:01:12:17	I’m used to it.
00:01:12:17 00:01:12:20		I2*		bin
00:01:12:20 00:01:12:23		I2*		bin
00:01:12:23 00:01:12:31
00:01:12:31 00:01:12:35		HABIT1		gewohnt
00:01:12:35 00:01:12:40		HABIT1		gewohnt
00:01:12:40 00:01:13:13
00:01:13:13 00:01:13:34	I basically grew up here, it’s okay.
00:01:13:34 00:01:13:42		TO-GROW-UP1B*
00:01:13:42 00:01:14:05
00:01:14:05 00:01:14:15		LIKE-HOW1B*		wie
00:01:14:15 00:01:14:32
00:01:14:32 00:01:14:46		OKAY1A*		okay
00:01:14:46 00:01:14:49
00:01:14:49 00:01:15:08	I’ve been living there for about five years now.
00:01:15:08 00:01:15:12		I2
00:01:15:12 00:01:15:15
00:01:15:15 00:01:15:19		ALREADY1A*		schon
00:01:15:19 00:01:15:31
00:01:15:31 00:01:15:35		APARTMENT5*		wohnen
00:01:15:35 00:01:15:45
00:01:15:45 00:01:16:07		YEAR1A*		fünf jahre
00:01:16:07 00:01:16:35
00:01:16:35 00:01:17:03	No, wrong.
00:01:17:03 00:01:17:09		$GEST^
00:01:17:09 00:01:17:19
00:01:17:19 00:01:17:30		WRONG1		falsch
00:01:17:30 00:01:17:47
00:01:17:47 00:01:18:03	Three years for the apprenticeship, four years at school in Essen plus another year in/	YEAR1A*
00:01:18:03 00:01:18:09
00:01:18:09 00:01:18:20		YEAR1A*		drei jahre
00:01:18:20 00:01:18:28
00:01:18:28 00:01:18:42		EDUCATION1		ausbildung
00:01:18:42 00:01:19:18
00:01:19:18 00:01:19:23		ESSEN-CITY1*		essen
00:01:19:23 00:01:19:32
00:01:19:32 00:01:19:40		SCHOOL1A		schule
00:01:19:40 00:01:20:05
00:01:20:05 00:01:20:14		YEAR1A*		vier jahre
00:01:20:14 00:01:20:23
00:01:20:23 00:01:20:31		PLUS1		plus
00:01:20:31 00:01:20:47
00:01:20:47 00:01:21:05		YEAR1A*		noch ein jahr
00:01:21:05 00:01:21:12
00:01:21:12 00:01:21:26		IN3		im
00:01:21:26 00:01:21:35
00:01:21:35 00:01:21:39	That means that in total, I’ve lived there seven, six, seven years already, a long time in any case.
00:01:21:39 00:01:21:43		MEANING1*		bedeut
00:01:21:43 00:01:22:06
00:01:22:06 00:01:22:14		$GEST-DECLINE1^		schon
00:01:22:14 00:01:22:16					Eight years.
00:01:22:16 00:01:22:28						$GEST-NM-NOD-HEAD1^		lang
00:01:22:28 00:01:22:37		OVERALL1C*		gesamt
00:01:22:37 00:01:22:42
00:01:22:42 00:01:22:47						YEAR1A*		acht jahre
00:01:22:47 00:01:22:48
00:01:22:48 00:01:23:01		YEAR1A*		sieben		$GEST-OFF1^
00:01:23:01 00:01:23:09		YEAR1A*		sieben
00:01:23:09 00:01:23:17		YEAR1A*		sechs
00:01:23:17 00:01:23:24
00:01:23:24 00:01:23:31		YEAR1A*		sieben
00:01:23:31 00:01:23:41
00:01:23:41 00:01:23:47		$GEST-DECLINE1^*		viel
00:01:23:47 00:01:23:49
00:01:23:49 00:01:24:05		MUCH1C
00:01:24:05 00:01:24:28
00:01:24:28 00:01:25:14	As I said already, the difference between the city and the country is noticeable in photos, already.
00:01:25:14 00:01:25:38		$GEST-TO-PONDER1^*		[MG]
00:01:25:38 00:01:25:39
00:01:25:39 00:01:26:00		$GEST-NM-TO-SHRUG1^
00:01:26:00 00:01:26:15
00:01:26:15 00:01:26:20		MORE1*		mehr
00:01:26:20 00:01:26:37
00:01:26:37 00:01:26:45		BUT1
00:01:26:45 00:01:27:10
00:01:27:10 00:01:27:16		I2		ich
00:01:27:16 00:01:27:23
00:01:27:23 00:01:27:26		ALREADY1A		schon
00:01:27:26 00:01:27:40
00:01:27:40 00:01:28:01		TO-SIGN1A*
00:01:28:01 00:01:28:03
00:01:28:03 00:01:28:07		I2
00:01:28:07 00:01:28:19
00:01:28:19 00:01:28:28		TO-STRIKE1A		aufgefall
00:01:28:28 00:01:28:37
00:01:28:37 00:01:28:41		$INDEX1
00:01:28:41 00:01:28:46
00:01:28:46 00:01:29:05		TO-SPOT2
00:01:29:05 00:01:29:12
00:01:29:12 00:01:29:17		PHOTO1*		foto
00:01:29:17 00:01:29:27
00:01:29:27 00:01:29:48		$INDEX1*
00:01:29:48 00:01:30:26
00:01:30:26 00:01:30:28		TO-SAY1
00:01:30:28 00:01:30:37
00:01:30:37 00:01:30:44		$GEST-TO-PONDER1^
00:01:30:44 00:01:31:04
00:01:31:04 00:01:31:13		$INDEX1
00:01:31:13 00:01:31:17
00:01:31:17 00:01:31:24	Germany has many cities, very many cities.
00:01:31:24 00:01:31:29		GERMAN1*		deutschland
00:01:31:29 00:01:31:34
00:01:31:34 00:01:31:43		COUNTRY1A*
00:01:31:43 00:01:32:00
00:01:32:00 00:01:32:03		TO-HAVE-TO-OWN1*		hat
00:01:32:03 00:01:32:17
00:01:32:17 00:01:32:29		MUCH1C*		viel
00:01:32:29 00:01:32:36
00:01:32:36 00:01:33:04		CITY2*		stadt
00:01:33:04 00:01:33:15
00:01:33:15 00:01:33:21		VERY4		sehr
00:01:33:21 00:01:33:28
00:01:33:28 00:01:33:33		MUCH1C		viel
00:01:33:33 00:01:33:39
00:01:33:39 00:01:33:43	Especially when you compare it to France, we have a lot of big cities here.
00:01:33:43 00:01:34:01		PARTICULARLY1B		besonders
00:01:34:01 00:01:34:37
00:01:34:37 00:01:35:03		BIG7		großstadt
00:01:35:03 00:01:35:21
00:01:35:21 00:01:35:26		CITY2*
00:01:35:26 00:01:35:36
00:01:35:36 00:01:35:43		MUCH1C*		viel
00:01:35:43 00:01:36:03
00:01:36:03 00:01:36:11		PRESENT-OR-HERE1*		da
00:01:36:11 00:01:36:16
00:01:36:16 00:01:36:20		$INDEX1
00:01:36:20 00:01:36:37
00:01:36:37 00:01:37:01		COMPARISON3*		vergleich
00:01:37:01 00:01:37:10
00:01:37:10 00:01:37:17		FRANCE3A		frankreich
00:01:37:17 00:01:37:27
00:01:37:27 00:01:37:29		$INDEX1
00:01:37:29 00:01:37:48
00:01:37:48 00:01:38:08	There, Paris is the only city of over a million inhabitants.
00:01:38:08 00:01:38:13		REALLY2		[MG]
00:01:38:13 00:01:38:21
00:01:38:21 00:01:38:33		PARIS1		paris
00:01:38:33 00:01:39:03
00:01:39:03 00:01:39:11		VERY6*		[MG]
00:01:39:11 00:01:39:30
00:01:39:30 00:01:39:41		SOLE1*		einzig
00:01:39:41 00:01:40:02
00:01:40:02 00:01:40:03		$INDEX1
00:01:40:03 00:01:40:10
00:01:40:10 00:01:40:20		$NUM-MILLION1*		million
00:01:40:20 00:01:40:22
00:01:40:22 00:01:40:29		CITY2		stadt
00:01:40:29 00:01:40:37
00:01:40:37 00:01:40:48		$INDEX1
00:01:40:48 00:01:41:21	All the others haven’t reached a million, I think.
00:01:41:21 00:01:41:23		ATTENTION1*
00:01:41:23 00:01:41:26
00:01:41:26 00:01:41:32		REMAINS1B		rest
00:01:41:32 00:01:41:39
00:01:41:39 00:01:42:13		ROUND3A^
00:01:42:13 00:01:42:32
00:01:42:32 00:01:42:46		TO-BELIEVE2B		glauben
00:01:42:46 00:01:43:03
00:01:43:03 00:01:43:14		NOT-YET3		noch nicht
00:01:43:14 00:01:43:19
00:01:43:19 00:01:43:32		$NUM-MILLION1*
00:01:43:32 00:01:43:46
00:01:43:46 00:01:44:07		TO-ACCOMPLISH1C		erreicht	That exists.
00:01:44:07 00:01:44:12
00:01:44:12 00:01:44:16						PRESENT-OR-HERE1*
00:01:44:16 00:01:44:23			$INDEX1
00:01:44:23 00:01:44:31	That’s very few, compared to Germany.
00:01:44:31 00:01:44:40		BUT1*		aber
00:01:44:40 00:01:44:48		LITTLE-BIT9*		wenig
00:01:44:48 00:01:45:12		RARELY2		wenig
00:01:45:12 00:01:45:25
00:01:45:25 00:01:45:37		COMPARISON4*		vergleich
00:01:45:37 00:01:45:47
00:01:45:47 00:01:46:00		GERMAN1*		deutschland
00:01:46:00 00:01:46:15
00:01:46:15 00:01:46:25		VERY6		[MG]
00:01:46:25 00:01:46:31
00:01:46:31 00:01:47:23	They have many different cities with different sizes and numbers of inhabitants.
00:01:47:23 00:01:48:07		VERY4*
00:01:48:07 00:01:48:25
00:01:48:25 00:01:48:48		$GEST-TO-PONDER1^*
00:01:48:48 00:01:49:04
00:01:49:04 00:01:49:40		CITY2*		stadt stadt stadt
00:01:49:40 00:01:50:01
00:01:50:01 00:01:50:06		WITH1A		mit
00:01:50:06 00:01:50:20
00:01:50:20 00:01:50:27		$GEST-TO-PONDER1^*
00:01:50:27 00:01:50:34
00:01:50:34 00:01:50:43		DISTINCT1*		verschieden
00:01:50:43 00:01:51:16
00:01:51:16 00:01:51:27		BIG7		[MG]
00:01:51:27 00:01:51:39		SMALL6*		[MG]
00:01:51:39 00:01:51:45
00:01:51:45 00:01:52:06	How many are there, then?
00:01:52:06 00:01:52:16		HOW-MUCH5*
00:01:52:16 00:01:52:36
00:01:52:36 00:01:52:41	300, 400, 500, 600, 700, there really are a lot.
00:01:52:41 00:01:52:49		$NUM-HUNDREDS1:3d		dreihundert
00:01:52:49 00:01:53:13
00:01:53:13 00:01:53:15		$NUM-HUNDREDS1:4*		vier{hundert}
00:01:53:15 00:01:53:20		$NUM-HUNDREDS1:5*		fünfhundert
00:01:53:20 00:01:53:34
00:01:53:34 00:01:53:39		$NUM-HUNDREDS1:6d*		sechshundert
00:01:53:39 00:01:53:43
00:01:53:43 00:01:53:47		$NUM-HUNDREDS1:7d*		sie{benhundert}
00:01:53:47 00:01:54:00
00:01:54:00 00:01:54:03		$NUM-HUNDREDS1:8d*
00:01:54:03 00:01:54:09
00:01:54:09 00:01:54:29		COMPARISON3
00:01:54:29 00:01:54:32
00:01:54:32 00:01:54:42		MUCH1A		viel
00:01:54:42 00:01:55:06
00:01:55:06 00:01:55:17	It’s extreme.				In the Ruhr area, there are a lot of cities next to one another.
00:01:55:17 00:01:55:22		EXTREME1		extrem
00:01:55:22 00:01:55:26
00:01:55:26 00:01:55:28						$ALPHA1:R		ruhrgebiet
00:01:55:28 00:01:55:31
00:01:55:31 00:01:55:33		TO-BELONG1
00:01:55:33 00:01:55:35
00:01:55:35 00:01:56:03						TERRITORY1
00:01:56:03 00:01:56:12	Yes/
00:01:56:12 00:01:56:17		$INDEX1
00:01:56:17 00:01:56:21						MUCH5		viel
00:01:56:21 00:01:56:37
00:01:56:37 00:01:57:02						CITY2*		stadt [MG]
00:01:57:02 00:01:57:12
00:01:57:12 00:01:57:21	They are very close to one another.
00:01:57:21 00:01:57:25		$PROD*		[MG]
00:01:57:25 00:01:57:31					That’s unreal.
00:01:57:31 00:01:57:39						VERY6		[MG]
00:01:57:39 00:01:58:12
00:01:58:12 00:01:58:35
00:01:58:35 00:01:58:41	True.
00:01:58:41 00:01:58:44		RIGHT-OR-AGREED1A		stimmt
00:01:58:44 00:01:59:19
00:01:59:19 00:01:59:27	It’s interesting in North Rhine-Westphalia.
00:01:59:27 00:01:59:36		NORTH-ASL1^		nordrhein-westfalen
00:01:59:36 00:01:59:41
00:01:59:41 00:02:00:04		AREA1A^*
00:02:00:04 00:02:00:13
00:02:00:13 00:02:00:26		INTEREST1A		interessant
00:02:00:26 00:02:00:41
00:02:00:41 00:02:00:47	Everything is very close together there.
00:02:00:47 00:02:01:05		REASON4A*		grund
00:02:01:05 00:02:01:38
00:02:01:38 00:02:02:44		$PROD*		[MG]
00:02:02:44 00:02:02:49
00:02:02:49 00:02:03:17	One city next to the other.
00:02:03:17 00:02:03:31		$PROD*		stadt stadt stadt
00:02:03:31 00:02:03:35
00:02:03:35 00:02:03:49	But outboards, near Wesel, there’s only plain land.
00:02:03:49 00:02:04:04		AND2B		und
00:02:04:04 00:02:04:18
00:02:04:18 00:02:04:36		HILL1^*
00:02:04:36 00:02:05:05
00:02:05:05 00:02:05:11		EXAMPLE1*		zum beispiel
00:02:05:11 00:02:05:29
00:02:05:29 00:02:05:43		DOWNWARDS1^*
00:02:05:43 00:02:06:12
00:02:06:12 00:02:06:40		$ALPHA1:W-E-S-E-L		wesel
00:02:06:40 00:02:07:09
00:02:07:09 00:02:08:10		$PROD*		leer
00:02:08:10 00:02:08:27
00:02:08:27 00:02:08:40		TO-EXAGGERATE1		übertreiben
00:02:08:40 00:02:09:17	That’s how it’s distributed.
00:02:09:17 00:02:09:29		AREA1A^*		[MG]
00:02:09:29 00:02:09:46
00:02:09:46 00:02:10:02
00:02:10:02 00:02:10:11					And Tokyo, yes, that’s a small city.
00:02:10:11 00:02:10:20						$GEST-ATTENTION1^*
00:02:10:20 00:02:10:26
00:02:10:26 00:02:10:27						$INDEX1
00:02:10:27 00:02:10:33
00:02:10:33 00:02:10:41						NONE7^		und
00:02:10:41 00:02:10:48
00:02:10:48 00:02:10:49						$INDEX1
00:02:10:49 00:02:11:33
00:02:11:33 00:02:12:01						$ALPHA1:T		tokio
00:02:12:01 00:02:12:10
00:02:12:10 00:02:12:19						TOKYO1A*
00:02:12:19 00:02:12:29
00:02:12:29 00:02:12:31						$INDEX1
00:02:12:31 00:02:12:45
00:02:12:45 00:02:12:48						$ALPHA1:T
00:02:12:48 00:02:13:10	Yes, Tokyo.
00:02:13:10 00:02:13:15						$INDEX1
00:02:13:15 00:02:13:17		TOKYO1A				$INDEX1
00:02:13:17 00:02:13:39		TOKYO1A
00:02:13:39 00:02:13:49
00:02:13:49 00:02:14:07						$GEST-TO-PONDER1^	$INDEX1
00:02:14:07 00:02:14:28
00:02:14:28 00:02:14:35						CITY2
00:02:14:35 00:02:14:40
00:02:14:40 00:02:14:45					They included the metro area, now it’s a big city.
00:02:14:45 00:02:14:46						$INDEX1
00:02:14:46 00:02:15:03
00:02:15:03 00:02:15:15						AFTER-TIME3B		nach
00:02:15:15 00:02:15:21
00:02:15:21 00:02:15:46						TOGETHER7
00:02:15:46 00:02:16:05						BIG3A		großstadt
00:02:16:05 00:02:16:07
00:02:16:07 00:02:16:18						CITY2
00:02:16:18 00:02:16:28
00:02:16:28 00:02:16:33						$INDEX1
00:02:16:33 00:02:16:43
00:02:16:43 00:02:16:49					If one were to take Dusseldorf and include all the surrounding cities, it would be a big city, too.
00:02:16:49 00:02:17:00						IMAGINATION1A*		vorstellen
00:02:17:00 00:02:17:05
00:02:17:05 00:02:17:08						I1
00:02:17:08 00:02:17:14
00:02:17:14 00:02:17:17						$INDEX1
00:02:17:17 00:02:17:45
00:02:17:45 00:02:18:02						DUSSELDORF1*		düsseldorf
00:02:18:02 00:02:18:05
00:02:18:05 00:02:18:09						$INDEX1
00:02:18:09 00:02:18:31
00:02:18:31 00:02:18:44						AREA1A
00:02:18:44 00:02:19:08
00:02:19:08 00:02:19:17						TOGETHER1A*		zusammen
00:02:19:17 00:02:19:26
00:02:19:26 00:02:19:30						BECAUSE1		weil
00:02:19:30 00:02:19:37
00:02:19:37 00:02:19:49						BIG3A		großstadt
00:02:19:49 00:02:20:06
00:02:20:06 00:02:20:12						CITY2*
00:02:20:12 00:02:20:21
00:02:20:21 00:02:20:23						$GEST-OFF1^*
00:02:20:23 00:02:20:28					That’d be possible as well.
00:02:20:28 00:02:20:31						POSSIBLE1*		möglich
00:02:20:31 00:02:20:36
00:02:20:36 00:02:20:40						$GEST-OFF1^*
00:02:20:40 00:02:20:44	Something that’s also interesting, maybe you know about this:
00:02:20:44 00:02:21:00		YES1A*
00:02:21:00 00:02:21:09		YES1A*			They wouldn’t be separate cities, it would be together.
00:02:21:09 00:02:21:16
00:02:21:16 00:02:21:17		$INDEX1
00:02:21:17 00:02:21:25						TO-SEPARATE1A*
00:02:21:25 00:02:21:31
00:02:21:31 00:02:21:32						IMAGINATION1A*		vor{stellen}
00:02:21:32 00:02:21:37		INTEREST1B		interesse		IMAGINATION1A*		vor{stellen}
00:02:21:37 00:02:21:46						TOGETHER7		zusammen
00:02:21:46 00:02:22:03		ALSO1A*		auch
00:02:22:03 00:02:22:06
00:02:22:06 00:02:22:15
00:02:22:15 00:02:22:23		TO-KNOW-STH2A		gewusst
00:02:22:23 00:02:22:26
00:02:22:26 00:02:22:35		$INDEX1
00:02:22:35 00:02:22:42
00:02:22:42 00:02:23:29	Paris is a city.
00:02:23:29 00:02:23:40		PARIS1		paris
00:02:23:40 00:02:23:45
00:02:23:45 00:02:23:49		AN1A		ein
00:02:23:49 00:02:24:06
00:02:24:06 00:02:24:13		CITY2		stadt
00:02:24:13 00:02:24:28
00:02:24:28 00:02:24:33		MEANS1^
00:02:24:33 00:02:25:22
00:02:25:22 00:02:25:33	But Berlin is bigger than Paris in comparison.
00:02:25:33 00:02:25:47		COMPARISON3*		vergleich
00:02:25:47 00:02:26:16
00:02:26:16 00:02:26:32		BERLIN1C*		berlin
00:02:26:32 00:02:26:42
00:02:26:42 00:02:26:48		THERE1*
00:02:26:48 00:02:27:30
00:02:27:30 00:02:27:36		BERLIN1C*		berlin
00:02:27:36 00:02:27:48
00:02:27:48 00:02:28:10		TO-BEAT1*		[L03]
00:02:28:10 00:02:28:20
00:02:28:20 00:02:28:28		PARIS1		paris
00:02:28:28 00:02:28:37
00:02:28:37 00:02:28:49	If one took the area of Paris, it would fit into Berlin nine times.
00:02:28:49 00:02:29:06		PARIS1		paris
00:02:29:06 00:02:29:23
00:02:29:23 00:02:29:28		$INDEX1
00:02:29:28 00:02:29:46
00:02:29:46 00:02:29:49		SELF1A*		selbst
00:02:29:49 00:02:30:28
00:02:30:28 00:02:31:10		TETRAGON10^
00:02:31:10 00:02:31:31
00:02:31:31 00:02:31:33		$NUM-ONE-TO-TEN1A:9		neunmal
00:02:31:33 00:02:31:42
00:02:31:42 00:02:31:49		TIMES3*
00:02:31:49 00:02:32:16
00:02:32:16 00:02:32:21		BERLIN1C*		berlin
00:02:32:21 00:02:32:31
00:02:32:31 00:02:34:13		$PROD*		[MG]
00:02:34:13 00:02:34:20
00:02:34:20 00:02:34:23	Last year I was in Paris and wanted to drive somewhere.
00:02:34:23 00:02:34:24		I1
00:02:34:24 00:02:34:27
00:02:34:27 00:02:34:32		BEEN1		gewesen
00:02:34:32 00:02:34:41
00:02:34:41 00:02:34:46		LAST5		letzte
00:02:34:46 00:02:35:01
00:02:35:01 00:02:35:08		YEAR2A		jahr
00:02:35:08 00:02:35:22
00:02:35:22 00:02:35:30		PARIS1		paris
00:02:35:30 00:02:35:37
00:02:35:37 00:02:35:43		TO1
00:02:35:43 00:02:35:48	It was unbelievable.
00:02:35:48 00:02:36:00		FEELING3*		fühlen
00:02:36:00 00:02:36:11
00:02:36:11 00:02:36:24		TO-EXAGGERATE1*		übertrieben
00:02:36:24 00:02:36:28
00:02:36:28 00:02:36:29	I was traveling by metro and had to change a lot.
00:02:36:29 00:02:36:30		I1
00:02:36:30 00:02:36:39
00:02:36:39 00:02:36:46		SUBWAY2A		u-bahn
00:02:36:46 00:02:37:10
00:02:37:10 00:02:37:24		ONCE-MORE4*		[MG]
00:02:37:24 00:02:37:34
00:02:37:34 00:02:38:10		$PROD*		umstei{g} umstei{g}
00:02:38:10 00:02:38:21
00:02:38:21 00:02:38:28	The metro network is extremely dense.
00:02:38:28 00:02:38:39		NET1A*		netz	Yes, but is it small?
00:02:38:39 00:02:39:06
00:02:39:06 00:02:39:09						BUT1*
00:02:39:09 00:02:39:23		TO-EXAGGERATE1*		übertrieben
00:02:39:23 00:02:39:41	It’s really small.
00:02:39:41 00:02:39:49		REALLY2*
00:02:39:49 00:02:40:13
00:02:40:13 00:02:40:26						SMALL11*		klein
00:02:40:26 00:02:40:30
00:02:40:30 00:02:40:47		TETRAGON10^*		klein
00:02:40:47 00:02:41:06
00:02:41:06 00:02:41:08	Paris really is tiny.
00:02:41:08 00:02:41:18
00:02:41:18 00:02:41:24		$GEST-DECLINE1^*
00:02:41:24 00:02:41:31
00:02:41:31 00:02:41:39		PARIS1		paris
00:02:41:39 00:02:42:04
00:02:42:04 00:02:42:17		TETRAGON10^*		klein
00:02:42:17 00:02:42:30
00:02:42:30 00:02:42:40		TRUE2*		wahr
00:02:42:40 00:02:42:41
00:02:42:41 00:02:43:07	In comparison, Paris would fit into Berlin nine times.
00:02:43:07 00:02:43:09		$NUM-ONE-TO-TEN1A:9		neunmal
00:02:43:09 00:02:43:18
00:02:43:18 00:02:43:29		TIMES3*
00:02:43:29 00:02:43:34
00:02:43:34 00:02:43:41		$INDEX1
00:02:43:41 00:02:44:05
00:02:44:05 00:02:44:25		PLAIN-AREA1*		fläche
00:02:44:25 00:02:44:35
00:02:44:35 00:02:44:40		FROM-OR-BY-OR-OF1*		von
00:02:44:40 00:02:45:01
00:02:45:01 00:02:45:07		PARIS1		paris
00:02:45:07 00:02:45:23
00:02:45:23 00:02:45:38		$PROD*
00:02:45:38 00:02:45:42
00:02:45:42 00:02:45:48		BERLIN1C*		berlin
00:02:45:48 00:02:46:15
00:02:46:15 00:02:46:47		$PROD*		[MG]
00:02:46:47 00:02:47:00					I/	I1
00:02:47:00 00:02:47:12
00:02:47:12 00:02:47:29					I don’t believe that.
00:02:47:29 00:02:47:35						$INDEX1
00:02:47:35 00:02:48:00
00:02:48:00 00:02:48:07
00:02:48:07 00:02:48:09	Seriously!					TO-BELIEVE2A*		glauben
00:02:48:09 00:02:48:17
00:02:48:17 00:02:48:21						I1
00:02:48:21 00:02:48:22
00:02:48:22 00:02:49:05		HONEST1*		ehrlich
00:02:49:05 00:02:49:09
00:02:49:09 00:02:49:12	I was so surprised.
00:02:49:12 00:02:49:16		YES1A
00:02:49:16 00:02:49:19
00:02:49:19 00:02:49:22		I1*
00:02:49:22 00:02:50:09
00:02:50:09 00:02:50:38		USHER-SYNDROME3^*
00:02:50:38 00:02:50:49
00:02:50:49 00:02:51:14
00:02:51:14 00:02:51:25	I then realized how big Germany is.
00:02:51:25 00:02:51:35		TO-SUDDENLY-COME-INTO-ONES-MIND1		bewusst
00:02:51:35 00:02:52:08
00:02:52:08 00:02:52:13		$GEST-OFF1^*
00:02:52:13 00:02:52:21
00:02:52:21 00:02:52:26		GERMAN1*		deutschland
00:02:52:26 00:02:52:37
00:02:52:37 00:02:53:02		VERY6		[MG]
00:02:53:02 00:02:53:14
00:02:53:14 00:02:53:25		MUCH2
00:02:53:25 00:02:53:36
00:02:53:36 00:02:53:43		PLAIN-AREA1
00:02:53:43 00:02:53:46		MUCH1C*		viel
00:02:53:46 00:02:54:07
00:02:54:07 00:02:54:25	It really has a lot to offer.	LIKE3B
00:02:54:25 00:02:54:42
00:02:54:42 00:02:55:03		$GEST-TO-PONDER1^
00:02:55:03 00:02:55:12
00:02:55:12 00:02:56:02		PRESENT-OR-HERE1*		da da da da da
00:02:56:02 00:02:56:03
00:02:56:03 00:02:56:12	When people go traveling, for example.
00:02:56:12 00:02:56:22		ALSO1A		auch
00:02:56:22 00:02:57:04
00:02:57:04 00:02:57:12		IF-OR-WHEN1A		wenn
00:02:57:12 00:02:57:24
00:02:57:24 00:02:57:39		EXAMPLE1		beispiel
00:02:57:39 00:02:58:19
00:02:58:19 00:02:58:38		JOURNEY1A*		[MG]
00:02:58:38 00:02:58:41
00:02:58:41 00:02:58:44	You can easily go on holiday in Germany.
00:02:58:44 00:02:59:01		CAN2B		kann
00:02:59:01 00:02:59:09
00:02:59:09 00:02:59:13		$INDEX1
00:02:59:13 00:02:59:24
00:02:59:24 00:02:59:28		GERMAN1*		deutschland
00:02:59:28 00:02:59:36
00:02:59:36 00:02:59:40		LOOSE1*		locker
00:02:59:40 00:03:00:04
00:03:00:04 00:03:00:17		AIR1^*		urlaub
00:03:00:17 00:03:00:32
00:03:00:32 00:03:00:39	And that’s because/ Bavaria is completely different, for example.
00:03:00:39 00:03:01:01		REASON4A		grund
00:03:01:01 00:03:01:09
00:03:01:09 00:03:01:17		BECAUSE1		weil
00:03:01:17 00:03:01:27
00:03:01:27 00:03:01:37		$INDEX1
00:03:01:37 00:03:02:03
00:03:02:03 00:03:02:07		EXAMPLE1*		beispiel
00:03:02:07 00:03:02:15
00:03:02:15 00:03:02:23		BAVARIA1*		bayern
00:03:02:23 00:03:02:41
00:03:02:41 00:03:03:07		WEIRD-STRANGE3		[MG]
00:03:03:07 00:03:03:11
00:03:03:11 00:03:03:21	It’s typically traditional, they have traditional costumes and everything.
00:03:03:21 00:03:03:29		LIKE1A*	$INDEX1	wie
00:03:03:29 00:03:04:23
00:03:04:23 00:03:04:31		TYPICAL1*		typisch
00:03:04:31 00:03:05:07
00:03:05:07 00:03:05:36		TRADITION2B		tradition
00:03:05:36 00:03:05:48
00:03:05:48 00:03:06:04		TO-BELONG1
00:03:06:04 00:03:06:17
00:03:06:17 00:03:06:36		CLOTHES3*		[MG]
00:03:06:36 00:03:07:02
00:03:07:02 00:03:07:21		PRESENT-OR-HERE1*		da da
00:03:07:21 00:03:07:36
00:03:07:36 00:03:07:44		EVERYTHING1C		alles
00:03:07:44 00:03:08:05
00:03:08:05 00:03:08:15	Or when traveling to the North, it’s different there, too.
00:03:08:15 00:03:08:19		OR4A*		oder
00:03:08:19 00:03:08:30
00:03:08:30 00:03:08:35		IF-OR-WHEN1A		wenn
00:03:08:35 00:03:09:03
00:03:09:03 00:03:09:23		JOURNEY1A*		[MG]
00:03:09:23 00:03:09:31
00:03:09:31 00:03:09:41		NORTH1B*		nord
00:03:09:41 00:03:10:10
00:03:10:10 00:03:10:25		DIFFERENT3		anders
00:03:10:25 00:03:10:36	It’s different everywhere.
00:03:10:36 00:03:11:33	It’s different everywhere.	DIFFERENT3*		anders anders anders
00:03:11:33 00:03:11:45	That’s extreme.
00:03:11:45 00:03:11:49		EXTREME1		extrem
00:03:11:49 00:03:12:03
00:03:12:03 00:03:12:14		TO-BELONG1*
00:03:12:14 00:03:12:30
00:03:12:30 00:03:12:41	I think that to us, everything in France looks the same.
00:03:12:41 00:03:12:44		TO-BELIEVE2A*		glaube
00:03:12:44 00:03:13:04
00:03:13:04 00:03:13:20		FRANCE3A		frankreich
00:03:13:20 00:03:13:22
00:03:13:22 00:03:13:30		FOR1*		für
00:03:13:30 00:03:13:42
00:03:13:42 00:03:13:48		TO-SEE1		[MG]
00:03:13:48 00:03:14:07
00:03:14:07 00:03:14:30		EQUAL8*		[MG]
00:03:14:30 00:03:14:34
00:03:14:34 00:03:14:47	I don’t know.
00:03:14:47 00:03:15:01		I2		[MG]
00:03:15:01 00:03:15:11
00:03:15:11 00:03:15:14		$GEST-OFF1^*
00:03:15:14 00:03:15:15
00:03:15:15 00:03:15:20	Of course it’s easy to peg it that way, I know.	I2		ich
00:03:15:20 00:03:15:35
00:03:15:35 00:03:15:44		TO-STAMP1*		abstempeln
00:03:15:44 00:03:16:05
00:03:16:05 00:03:16:14		EASY-OR-LIGHT1*		leicht
00:03:16:14 00:03:16:15
00:03:16:15 00:03:16:24		I2
00:03:16:24 00:03:16:36
00:03:16:36 00:03:16:39		$GEST-OFF1^*
00:03:16:39 00:03:16:43
00:03:16:43 00:03:17:04		TO-KNOW-STH2A*		weiß
00:03:17:04 00:03:17:09
00:03:17:09 00:03:17:12		I1
00:03:17:12 00:03:17:17
00:03:17:17 00:03:17:24	But to me, the first impression was different.
00:03:17:24 00:03:17:30		$GEST-OFF1^*		aber
00:03:17:30 00:03:17:39
00:03:17:39 00:03:17:41		FEELING3		fü{hl}
00:03:17:41 00:03:17:46
00:03:17:46 00:03:18:03		FOR1*		für mich
00:03:18:03 00:03:18:14
00:03:18:14 00:03:18:24		FIRST-OF-ALL1C*		erste
00:03:18:24 00:03:18:34
00:03:18:34 00:03:18:44		IMPACT2*		[MG]
00:03:18:44 00:03:18:49
00:03:18:49 00:03:19:12		DIFFERENT1		anders
00:03:19:12 00:03:19:16
00:03:19:16 00:03:19:22	Germany has a vast variety of things, though.	$ORAL^		aber
00:03:19:22 00:03:19:30
00:03:19:30 00:03:19:35		GERMAN1*		deutschland
00:03:19:35 00:03:20:01
00:03:20:01 00:03:20:11		VERY6		[MG]
00:03:20:11 00:03:20:29
00:03:20:29 00:03:21:11		$PROD*		[MG]
00:03:21:11 00:03:21:34
00:03:21:34 00:03:21:40
00:03:21:40 00:03:21:49	Berlin is so diverse, tolerant, fancy.
00:03:21:49 00:03:22:08		BERLIN1A		berlin
00:03:22:08 00:03:22:17
00:03:22:17 00:03:22:27		DIVERSITY1		[MG]
00:03:22:27 00:03:22:39
00:03:22:39 00:03:22:44		TOLERANT1*
00:03:22:44 00:03:23:05
00:03:23:05 00:03:23:30		CLOTHES3^*
00:03:23:30 00:03:23:34
00:03:23:34 00:03:23:42
00:03:23:42 00:03:23:49	In Bavaria, traditional clothing is typical.
00:03:23:49 00:03:24:11		$INDEX1
00:03:24:11 00:03:25:05
00:03:25:05 00:03:25:10		BAVARIA1*		bayern
00:03:25:10 00:03:25:22
00:03:25:22 00:03:25:35		TYPICAL1		typisch
00:03:25:35 00:03:25:41
00:03:25:41 00:03:26:18		TRADITION2B		tradition
00:03:26:18 00:03:26:27
00:03:26:27 00:03:26:42		CLOTHES3^*		[MG]
00:03:26:42 00:03:27:02
00:03:27:02 00:03:27:05		$GEST^
00:03:27:05 00:03:27:16	In North Rhine-Westphalia, in the Ruhr area, fashion doesn’t matter.
00:03:27:16 00:03:27:24		$GEST-DECLINE1^
00:03:27:24 00:03:27:34
00:03:27:34 00:03:28:08		NRW1		n-r-w
00:03:28:08 00:03:28:19
00:03:28:19 00:03:28:23		$ALPHA1:R		ruhrgebiet
00:03:28:23 00:03:28:28
00:03:28:28 00:03:28:41		AREA1B^
00:03:28:41 00:03:28:47
00:03:28:47 00:03:29:01		$INDEX1
00:03:29:01 00:03:29:07
00:03:29:07 00:03:29:12		MOST1B*		[MG]
00:03:29:12 00:03:29:45		NOT-METICULOUS1*		[MG]
00:03:29:45 00:03:30:00
00:03:30:00 00:03:30:18		CLOTHES3*
00:03:30:18 00:03:30:25
00:03:30:25 00:03:31:01		NOT-METICULOUS1*		[MG]
00:03:31:01 00:03:31:11	Everything is international there.
00:03:31:11 00:03:31:17		INTERNATIONAL1*		inter{national}
00:03:31:17 00:03:31:28
00:03:31:28 00:03:32:00		CHAOS1		[MG]
00:03:32:00 00:03:32:16
00:03:32:16 00:03:33:19	It’s very different.	$PROD*
00:03:33:19 00:03:34:32	It’s very different.	$GEST-NM-NOD-HEAD1^
00:03:34:32 00:03:35:12
00:03:35:12 00:03:36:19									Asks about his favorite city.
00:03:36:19 00:03:36:25					In Germany? Or/				Asks about his favorite city.
00:03:36:25 00:03:36:29
00:03:36:29 00:03:36:43						$ORAL^		meinst
00:03:36:43 00:03:37:04						GERMAN1		deutschland
00:03:37:04 00:03:37:08
00:03:37:08 00:03:37:15						AREA1A^*
00:03:37:15 00:03:37:21
00:03:37:21 00:03:37:30						OR1*		oder
00:03:37:30 00:03:37:43
00:03:37:43 00:03:38:17									Says it doesn’t matter where.
00:03:38:17 00:03:38:34
00:03:38:34 00:03:38:44					I/ I like a lot of cities.	I2
00:03:38:44 00:03:39:07
00:03:39:07 00:03:39:46						$GEST-OFF1^*
00:03:39:46 00:03:40:25
00:03:40:25 00:03:40:33						MUCH5		viel
00:03:40:33 00:03:40:39
00:03:40:39 00:03:40:48						TO-LIKE2		[MG]
00:03:40:48 00:03:41:00
00:03:41:00 00:03:41:05						CITY2*		stadt
00:03:41:05 00:03:41:09
00:03:41:09 00:03:41:10					There are many different ones.
00:03:41:10 00:03:41:16						$INDEX1
00:03:41:16 00:03:41:23
00:03:41:23 00:03:41:27						MUCH5		viel
00:03:41:27 00:03:41:32
00:03:41:32 00:03:42:09						DISTINCT1		versch{ieden}
00:03:42:09 00:03:42:10
00:03:42:10 00:03:42:12
00:03:42:12 00:03:42:17					I can’t narrow it down to just one.
00:03:42:17 00:03:42:19						I1
00:03:42:19 00:03:42:31
00:03:42:31 00:03:42:32						$GEST-OFF1^*
00:03:42:32 00:03:42:43
00:03:42:43 00:03:42:46						SOLID1A^*		[MG]
00:03:42:46 00:03:43:02
00:03:43:02 00:03:43:07						TO-FOCUS1		[MG]
00:03:43:07 00:03:43:08
00:03:43:08 00:03:43:17						NONE7B
00:03:43:17 00:03:43:23
00:03:43:23 00:03:43:27						I1
00:03:43:27 00:03:43:43									Asks in which city he would like to live in the future.
00:03:43:43 00:03:46:16
00:03:46:16 00:03:46:28					I, well, I/
00:03:46:28 00:03:46:47						I1*
00:03:46:47 00:03:47:22						$GEST-OFF1^*		[MG]
00:03:47:22 00:03:47:32
00:03:47:32 00:03:47:42					Well, my dream would be Miami because it’s so beautiful there.
00:03:47:42 00:03:47:45						I2
00:03:47:45 00:03:48:02
00:03:48:02 00:03:48:04						IMAGINATION1B*		vo{rstellen}
00:03:48:04 00:03:48:05
00:03:48:05 00:03:48:20						DREAM1		traum
00:03:48:20 00:03:48:23						TO-WISH1A*		wunsch
00:03:48:23 00:03:48:28
00:03:48:28 00:03:48:45						$ALPHA1:M		miami
00:03:48:45 00:03:49:03
00:03:49:03 00:03:49:16						$INDEX1
00:03:49:16 00:03:49:34
00:03:49:34 00:03:49:45						PLANE3A^*
00:03:49:45 00:03:50:02
00:03:50:02 00:03:50:13						REASON4B*		grund
00:03:50:13 00:03:50:28
00:03:50:28 00:03:50:45						BEAUTIFUL1A		schön
00:03:50:45 00:03:51:03					Miami, because it would be nice to have my own house at the sea.
00:03:51:03 00:03:51:37						$ALPHA1:M-I-A-M-I		miami
00:03:51:37 00:03:52:01
00:03:52:01 00:03:52:05						$INDEX1
00:03:52:05 00:03:52:13
00:03:52:13 00:03:52:22						REASON4B*		grund
00:03:52:22 00:03:52:32
00:03:52:32 00:03:52:40						$INDEX1
00:03:52:40 00:03:52:45
00:03:52:45 00:03:53:04						BEAUTIFUL1A		schön
00:03:53:04 00:03:53:13
00:03:53:13 00:03:53:26						OCEAN2B		meer
00:03:53:26 00:03:53:41						AREA1A		meer
00:03:53:41 00:03:53:48
00:03:53:48 00:03:54:11						OWN1A*		eigene
00:03:54:11 00:03:54:22
00:03:54:22 00:03:54:33						HOUSE1A		haus
00:03:54:33 00:03:54:36
00:03:54:36 00:03:54:49	A house directly on the beach, so you’re at the sea very quickly.
00:03:54:49 00:03:55:10						LOCATION1A*
00:03:55:10 00:03:55:12
00:03:55:12 00:03:55:20		$PROD*
00:03:55:20 00:03:55:27
00:03:55:27 00:03:55:37					That would be nice.
00:03:55:37 00:03:55:41						BEAUTIFUL1A*		schön
00:03:55:41 00:03:56:01
00:03:56:01 00:03:56:05					But it’s extremely expensive and impossible.
00:03:56:05 00:03:56:06						BUT1*		aber
00:03:56:06 00:03:56:07
00:03:56:07 00:03:56:09		BACK-AND-FORTH1
00:03:56:09 00:03:56:27		BACK-AND-FORTH1				EXPENSIVE2B		[MG]
00:03:56:27 00:03:56:31
00:03:56:31 00:03:56:38						EXPENSIVE1*
00:03:56:38 00:03:56:44
00:03:56:44 00:03:56:46						$GEST^
00:03:56:46 00:03:57:06
00:03:57:06 00:03:57:11						CAN1*
00:03:57:11 00:03:57:23
00:03:57:23 00:03:57:38					That would be my wish.
00:03:57:38 00:03:57:43						TO-WISH1A*		wunsch
00:03:57:43 00:03:58:04
00:03:58:04 00:03:58:13					Other than that, I don’t care where I live in the future.
00:03:58:13 00:03:58:18						OTHERWISE1
00:03:58:18 00:03:58:28
00:03:58:28 00:03:58:34						WHATEVER3*
00:03:58:34 00:03:58:44
00:03:58:44 00:03:58:45	Have you been there before?
00:03:58:45 00:03:59:01						I2*
00:03:59:01 00:03:59:12
00:03:59:12 00:03:59:15		BEEN1		gewesen
00:03:59:15 00:03:59:18						FUTURE1A*		zukunft
00:03:59:18 00:03:59:21
00:03:59:21 00:03:59:27
00:03:59:27 00:03:59:36						APARTMENT5*		wohnen
00:03:59:36 00:03:59:37		THERE1				APARTMENT5*		wohnen
00:03:59:37 00:03:59:39
00:03:59:39 00:03:59:44					I’ve been to Miami before, yes.
00:03:59:44 00:03:59:48						I1
00:03:59:48 00:04:00:02						I1
00:04:00:02 00:04:00:12		$INDEX1
00:04:00:12 00:04:00:23	You’ve been there?
00:04:00:23 00:04:00:25						YES2*
00:04:00:25 00:04:00:29
00:04:00:29 00:04:00:36		BEEN1		gewesen
00:04:00:36 00:04:00:40		BEEN1		gewesen		$ALPHA1:M		miami
00:04:00:40 00:04:00:48						$ALPHA1:M
00:04:00:48 00:04:01:07
00:04:01:07 00:04:01:11		$ALPHA1:M		miami
00:04:01:11 00:04:01:16		$ALPHA1:M		miami		PRESENT-OR-HERE1*
00:04:01:16 00:04:01:21
00:04:01:21 00:04:01:24		THERE1				YES2*
00:04:01:24 00:04:01:35
00:04:01:35 00:04:01:37		YOU1*
00:04:01:37 00:04:02:06
00:04:02:06 00:04:02:10					I would like to live in Essen in the future.	$INDEX1
00:04:02:10 00:04:02:14
00:04:02:14 00:04:02:20						I1
00:04:02:20 00:04:02:30
00:04:02:30 00:04:02:35						TO-WISH1B		wunsch
00:04:02:35 00:04:02:40
00:04:02:40 00:04:02:44						LATER9A		später
00:04:02:44 00:04:02:48
00:04:02:48 00:04:03:06						ESSEN-CITY1*		essen
00:04:03:06 00:04:03:09
00:04:03:09 00:04:03:15						APARTMENT5*		wohnen
00:04:03:15 00:04:03:22
00:04:03:22 00:04:03:30						AREA1A^*
00:04:03:30 00:04:03:35
00:04:03:35 00:04:03:39					Yes, in Essen.
00:04:03:39 00:04:04:01						ESSEN-CITY1		essen
00:04:04:01 00:04:04:04
00:04:04:04 00:04:04:09									Asks why he wants to go to Essen.
00:04:04:09 00:04:04:10						I1*
00:04:04:10 00:04:04:19
00:04:04:19 00:04:04:24						APARTMENT5*
00:04:04:24 00:04:04:44						$GEST^
00:04:04:44 00:04:05:29
00:04:05:29 00:04:05:37					I have a lot of friends there.
00:04:05:37 00:04:05:43						I1
00:04:05:43 00:04:06:12
00:04:06:12 00:04:06:22						FRIEND7		freund
00:04:06:22 00:04:06:31						FRIEND7		freund
00:04:06:31 00:04:06:37
00:04:06:37 00:04:06:43						MUCH5		viel
00:04:06:43 00:04:06:49
00:04:06:49 00:04:07:12						AREA1A^*
00:04:07:12 00:04:07:21
00:04:07:21 00:04:07:22					And there are a lot of interpreters there, which is good.
00:04:07:22 00:04:07:27						AND2A		und
00:04:07:27 00:04:07:36
00:04:07:36 00:04:07:41						$GEST-OFF1^*
00:04:07:41 00:04:08:00
00:04:08:00 00:04:08:09						GOOD1		gut
00:04:08:09 00:04:08:16
00:04:08:16 00:04:08:26						INTERPRETER1*		dolmetschen
00:04:08:26 00:04:08:33
00:04:08:33 00:04:08:49						PRESENT-OR-HERE1*
00:04:08:49 00:04:09:09					It’s a big city, Iserlohn is rather small.
00:04:09:09 00:04:09:18						BIG3B		groß
00:04:09:18 00:04:09:19
00:04:09:19 00:04:09:29						CITY2		stadt
00:04:09:29 00:04:09:40
00:04:09:40 00:04:09:43						$ALPHA1:I		iserlohn
00:04:09:43 00:04:10:05
00:04:10:05 00:04:10:15						LITTLE-BIT2*		[MG]
00:04:10:15 00:04:10:21
00:04:10:21 00:04:10:27						$GEST^
00:04:10:27 00:04:10:42					Concerning help or support, it’s bad.
00:04:10:42 00:04:11:14						YES1A		ja
00:04:11:14 00:04:11:22
00:04:11:22 00:04:11:38						TO-HELP1		helfen
00:04:11:38 00:04:12:02
00:04:12:02 00:04:12:05						TO-SUPPORT4A*		unterstützen
00:04:12:05 00:04:12:15
00:04:12:15 00:04:12:23						BAD-OR-STALE2A		[MG]
00:04:12:23 00:04:13:29
00:04:13:29 00:04:20:23									Asks about other advantages of Essen.
00:04:20:23 00:04:20:35					There is a good connection there.
00:04:20:35 00:04:20:36						GOOD1*		gut
00:04:20:36 00:04:20:44
00:04:20:44 00:04:21:03						LINK1		verbindung
00:04:21:03 00:04:21:12
00:04:21:12 00:04:21:15					One can take the metro and doesn’t need a car.
00:04:21:15 00:04:21:21						CAN2A		kann
00:04:21:21 00:04:21:29
00:04:21:29 00:04:21:37						SUBWAY2A		u-bahn
00:04:21:37 00:04:21:43
00:04:21:43 00:04:22:00						CAR1*
00:04:22:00 00:04:22:04
00:04:22:04 00:04:22:12						DONT-NEED1*		brauchen nicht
00:04:22:12 00:04:22:20
00:04:22:20 00:04:22:33						TO-LEAVE-OUT1*
00:04:22:33 00:04:22:38
00:04:22:38 00:04:23:03						$GEST-OFF1^*
00:04:23:03 00:04:23:09					You can get around well by bus or metro.
00:04:23:09 00:04:23:12						SUBWAY2A*		u-bahn
00:04:23:12 00:04:23:21
00:04:23:21 00:04:23:28						BUS1A		bus
00:04:23:28 00:04:23:34
00:04:23:34 00:04:23:38						LINK1		[MG]
00:04:23:38 00:04:24:00
00:04:24:00 00:04:24:13						PRESENT-OR-HERE1*		da da
00:04:24:13 00:04:24:17
00:04:24:17 00:04:24:18						$GEST^
00:04:24:18 00:04:24:37
00:04:24:37 00:04:25:08					The train is connected well, even at night.
00:04:25:08 00:04:25:20						TRAIN2A*		zug
00:04:25:20 00:04:25:31
00:04:25:31 00:04:25:41						EVENING2		abend
00:04:25:41 00:04:25:46
00:04:25:46 00:04:26:01						GOOD1		gut
00:04:26:01 00:04:26:07
00:04:26:07 00:04:26:16						LINK1		verbindung
00:04:26:16 00:04:26:30
00:04:26:30 00:04:26:33						GOOD1*		sehr gut
00:04:26:33 00:04:26:38
00:04:26:38 00:04:26:40						$GEST^
00:04:26:40 00:04:27:10
00:04:27:10 00:04:27:28					They’re short lines.
00:04:27:28 00:04:27:30						CLOSE-BY1A		[MG]
00:04:27:30 00:04:27:40
00:04:27:40 00:04:28:06						BACK-AND-FORTH1*
00:04:28:06 00:04:28:15						$INDEX1
00:04:28:15 00:04:28:21					One can get to Cologne or Dortmund quickly.
00:04:28:21 00:04:28:29						COLOGNE2*		köln
00:04:28:29 00:04:28:38
00:04:28:38 00:04:28:48						TO2		[MG]
00:04:28:48 00:04:29:06
00:04:29:06 00:04:29:10						EASY4
00:04:29:10 00:04:29:26
00:04:29:26 00:04:29:32						DORTMUND1*		dortmund
00:04:29:32 00:04:29:38
00:04:29:38 00:04:30:23						$PROD*		[MG]
00:04:30:23 00:04:30:31					That’s good.
00:04:30:31 00:04:30:38						GOOD1
00:04:30:38 00:04:30:45
00:04:30:45 00:04:30:48						$GEST^
00:04:30:48 00:04:31:27
00:04:31:27 00:04:31:40	It’s central.					$GEST-OFF1^
00:04:31:40 00:04:31:43		LIKE-SAYING1		wie		$GEST-OFF1^
00:04:31:43 00:04:31:45		LIKE-SAYING1		wie
00:04:31:45 00:04:31:49
00:04:31:49 00:04:32:12		CENTRE1A		zentral
00:04:32:12 00:04:32:28		CENTRE1A
00:04:32:28 00:04:32:37
00:04:32:37 00:04:33:00		AREA1A*
00:04:33:00 00:04:33:07	A little bit like/
00:04:33:07 00:04:33:16		BIT1A		bisschen
00:04:33:16 00:04:33:31		LIKE3A*		wie
00:04:33:31 00:04:33:34
00:04:33:34 00:04:33:36	Right.
00:04:33:36 00:04:33:46		RIGHT-OR-AGREED1A		stimmt
00:04:33:46 00:04:34:11
00:04:34:11 00:04:34:21	Well, if you asked me where I wanted to live, I wouldn’t be able to answer.
00:04:34:21 00:04:34:49		SELF1A		selbst
00:04:34:49 00:04:35:14
00:04:35:14 00:04:35:18		$GEST-OFF1^*
00:04:35:18 00:04:35:25
00:04:35:25 00:04:35:30		$INDEX1
00:04:35:30 00:04:35:39
00:04:35:39 00:04:35:43		IF-OR-WHEN1A		wenn
00:04:35:43 00:04:36:00
00:04:36:00 00:04:36:06		QUESTION1*		frage
00:04:36:06 00:04:36:19
00:04:36:19 00:04:36:39		WOULD-BE1*		wäre
00:04:36:39 00:04:36:48
00:04:36:48 00:04:37:06		WHERE1A*		wo
00:04:37:06 00:04:37:12
00:04:37:12 00:04:37:22		APARTMENT5*		wohnen
00:04:37:22 00:04:37:26
00:04:37:26 00:04:37:35		CAN1*
00:04:37:35 00:04:37:37
00:04:37:37 00:04:37:38	I’m very flexible.
00:04:37:38 00:04:37:43		I1		ich
00:04:37:43 00:04:38:06
00:04:38:06 00:04:38:23		MATERIAL1A^		fexibel
00:04:38:23 00:04:38:25
00:04:38:25 00:04:38:42		I1
00:04:38:42 00:04:39:02
00:04:39:02 00:04:39:11		VERY6		[MG]
00:04:39:11 00:04:39:16	I’ve also said that to the employment agency.
00:04:39:16 00:04:39:24		WHY7		warum
00:04:39:24 00:04:39:26
00:04:39:26 00:04:39:36		ANYWAY1*		sowieso
00:04:39:36 00:04:39:43
00:04:39:43 00:04:39:47		NOW3		jetzt
00:04:39:47 00:04:40:03
00:04:40:03 00:04:40:18		ALREADY1B*		schon
00:04:40:18 00:04:40:34
00:04:40:34 00:04:40:40		AGENCY1A		arbeitsamt
00:04:40:40 00:04:41:08
00:04:41:08 00:04:41:13		TO-LET-KNOW1A*
00:04:41:13 00:04:41:17
00:04:41:17 00:04:41:23	They asked whether I wanted to work in North Rhine-Westphalia or elsewhere.
00:04:41:23 00:04:41:29		TO-WISH1E*		wünschen
00:04:41:29 00:04:41:39
00:04:41:39 00:04:41:42		$GEST-OFF1^
00:04:41:42 00:04:41:44
00:04:41:44 00:04:42:01		I2*
00:04:42:01 00:04:42:14
00:04:42:14 00:04:42:24		QUESTION1*		frage
00:04:42:24 00:04:42:31
00:04:42:31 00:04:42:35		WHERE1A*		wo
00:04:42:35 00:04:42:38
00:04:42:38 00:04:42:45		TO-WANT6		will
00:04:42:45 00:04:42:49
00:04:42:49 00:04:43:01		I2
00:04:43:01 00:04:43:08
00:04:43:08 00:04:43:13		GERMAN1*		deutschland
00:04:43:13 00:04:43:22		COUNTRY1A		deutschland
00:04:43:22 00:04:43:27
00:04:43:27 00:04:43:41		$ALPHA1:W		n-r-w
00:04:43:41 00:04:44:02		AREA1B		n-r-w
00:04:44:02 00:04:44:09
00:04:44:09 00:04:44:23	I’m open to anything in Germany.
00:04:44:23 00:04:44:27		$GEST-OFF1^*
00:04:44:27 00:04:44:34
00:04:44:34 00:04:44:38		GERMAN1		deutschland
00:04:44:38 00:04:45:01		COUNTRY1A		deutschland
00:04:45:01 00:04:45:08
00:04:45:08 00:04:45:20		OPEN1		offen
00:04:45:20 00:04:45:26
00:04:45:26 00:04:45:29		I2
00:04:45:29 00:04:45:37
00:04:45:37 00:04:45:43	It doesn’t matter to me.
00:04:45:43 00:04:45:49		WHATEVER3		mir
00:04:45:49 00:04:46:16
00:04:46:16 00:04:46:37		ALL1B^*		egal
00:04:46:37 00:04:46:48
00:04:46:48 00:04:47:02		WHATEVER3		egal
00:04:47:02 00:04:47:04
00:04:47:04 00:04:47:08		I2*
00:04:47:08 00:04:47:20
00:04:47:20 00:04:47:30	I don’t have a preferred city to live in.
00:04:47:30 00:04:47:45		APARTMENT5
00:04:47:45 00:04:48:01
00:04:48:01 00:04:48:14		TO-LIKE2		[MG]
00:04:48:14 00:04:48:19
00:04:48:19 00:04:48:25		CITY2		stadt
00:04:48:25 00:04:48:31
00:04:48:31 00:04:48:37		NONE1*		kein
00:04:48:37 00:04:49:06		I1
00:04:49:06 00:04:49:23	Berlin is great.
00:04:49:23 00:04:49:34		BERLIN1C*		berlin
00:04:49:34 00:04:49:37
00:04:49:37 00:04:49:41		TO-KNOW-STH2A*
00:04:49:41 00:04:49:42
00:04:49:42 00:04:50:06		ALREADY1A		schon
00:04:50:06 00:04:50:21
00:04:50:21 00:04:50:38		SUPER3		[MG]
00:04:50:38 00:04:50:46	But I think that after a while, it would get stressful, because there is so much going on.
00:04:50:46 00:04:51:05		BUT1
00:04:51:05 00:04:51:11
00:04:51:11 00:04:51:17		I1
00:04:51:17 00:04:51:24
00:04:51:24 00:04:51:34		TO-BELIEVE2A		glauben
00:04:51:34 00:04:51:43
00:04:51:43 00:04:52:22		TO-LAST1		auf dauer
00:04:52:22 00:04:52:39
00:04:52:39 00:04:53:06		STRESS3*		stress
00:04:53:06 00:04:53:11
00:04:53:11 00:04:53:21		REASON4B		grund
00:04:53:21 00:04:53:39
00:04:53:39 00:04:54:05		A-WHOLE-LOT2*		[MG]
00:04:54:05 00:04:54:15
00:04:54:15 00:04:55:29		$PROD*
00:04:55:29 00:04:55:37
00:04:55:37 00:04:55:49	It’s huge.
00:04:55:49 00:04:56:21		BIG7		[MG]
00:04:56:21 00:04:56:26
00:04:56:26 00:04:56:44		A-WHOLE-LOT2*		groß
00:04:56:44 00:04:57:03
00:04:57:03 00:04:57:12	But, well, Berlin would be nice.
00:04:57:12 00:04:57:46		$GEST-NM-TO-SHRUG1^		aber
00:04:57:46 00:04:58:07
00:04:58:07 00:04:58:18		ALREADY1A*		schon
00:04:58:18 00:04:58:35
00:04:58:35 00:04:58:44		BERLIN1C*		berlin
00:04:58:44 00:04:59:06
00:04:59:06 00:04:59:26		PLEASANT2		angenehm
00:04:59:26 00:04:59:34
00:04:59:34 00:04:59:41		YES1A		ja
00:04:59:41 00:05:00:04
00:05:00:04 00:05:00:14	But other than that?
00:05:00:14 00:05:00:27		AND5	$INDEX1	und
00:05:00:27 00:05:00:48
00:05:00:48 00:05:01:17		$GEST-OFF1^
00:05:01:17 00:05:01:18
00:05:01:18 00:05:02:00		EVERYWHERE1*
00:05:02:00 00:05:02:08	I don’t care, I don’t have a goal.	I2*
00:05:02:08 00:05:02:18
00:05:02:18 00:05:02:25		$GEST-OFF1^		[MG]
00:05:02:25 00:05:02:39
00:05:02:39 00:05:03:05		TO-KNOW-STH2A		weiß
00:05:03:05 00:05:03:15		AIM2		ziel
00:05:03:15 00:05:03:19
00:05:03:19 00:05:03:29		NONE1*		kein
00:05:03:29 00:05:03:35		I1		kein
00:05:03:35 00:05:04:00	I’m young and need to get to know everything, feel my way and when I fall in love, I’m in the right place.
00:05:04:00 00:05:04:14		YOUNG1		jung
00:05:04:14 00:05:04:21
00:05:04:21 00:05:04:24		MUST1		muss
00:05:04:24 00:05:04:26
00:05:04:26 00:05:04:30		I1
00:05:04:30 00:05:04:37
00:05:04:37 00:05:04:44		TO-GET-TO-KNOW1*		kennenlernen
00:05:04:44 00:05:05:03
00:05:05:03 00:05:05:25		$INDEX1
00:05:05:25 00:05:05:33
00:05:05:33 00:05:05:48		NOSE1A^		[MG]
00:05:05:48 00:05:06:02
00:05:06:02 00:05:06:13		TO-FALL-IN-LOVE2*		verliebt
00:05:06:13 00:05:06:20
00:05:06:20 00:05:06:29		RIGHT-OR-AGREED1A		stimmt
00:05:06:29 00:05:07:23
00:05:07:23 00:05:07:35
00:05:07:35 00:05:10:31									Asks about his favorite country.
00:05:10:31 00:05:11:44
00:05:11:44 00:05:12:06					Many different ones.
00:05:12:06 00:05:12:20						MUCH5		viel
00:05:12:20 00:05:12:24
00:05:12:24 00:05:12:36						DISTINCT1*
00:05:12:36 00:05:12:43
00:05:12:43 00:05:12:49						I2*
00:05:12:49 00:05:13:03
00:05:13:03 00:05:13:08						$GEST-OFF1^*
00:05:13:08 00:05:13:27
00:05:13:27 00:05:13:47					I/
00:05:13:47 00:05:14:06						I1
00:05:14:06 00:05:14:16
00:05:14:16 00:05:14:23						$GEST-OFF1^*
00:05:14:23 00:05:14:41
00:05:14:41 00:05:15:02					Recently I was in Portugal; that was great. It was the north of P-O-R-T-U-G-A-L.
00:05:15:02 00:05:15:13						LAST5
00:05:15:13 00:05:15:25
00:05:15:25 00:05:15:35						PORTUGAL3		portugal
00:05:15:35 00:05:15:39
00:05:15:39 00:05:15:48						GOOD1*		[MG]
00:05:15:48 00:05:16:08
00:05:16:08 00:05:16:27						NORTH1B		nord
00:05:16:27 00:05:16:43
00:05:16:43 00:05:17:05						PORTUGAL3*		p{ortugal}
00:05:17:05 00:05:17:08
00:05:17:08 00:05:17:21						PORTUGAL-$CANDIDATE-MST33^*
00:05:17:21 00:05:17:27
00:05:17:27 00:05:18:29						$ALPHA1:P-O-R-T-U-G-A-L		portugal
00:05:18:29 00:05:18:42
00:05:18:42 00:05:19:01					Yes, I like Portugal.
00:05:19:01 00:05:19:10						PORTUGAL3*		portugal
00:05:19:10 00:05:19:12
00:05:19:12 00:05:19:15						I1
00:05:19:15 00:05:19:28
00:05:19:28 00:05:19:38						GOOD1*		[MG]
00:05:19:38 00:05:19:39	PORTUGAL.	PORTUGAL-$CANDIDATE-MST33^		portugal		GOOD1*		[MG]
00:05:19:39 00:05:19:48		PORTUGAL-$CANDIDATE-MST33^		portugal
00:05:19:48 00:05:20:09
00:05:20:09 00:05:20:12		PORTUGAL-$CANDIDATE-MST33^		portugal
00:05:20:12 00:05:20:23		PORTUGAL-$CANDIDATE-MST33^		portugal	There’s PORTUGAL.	PORTUGAL-$CANDIDATE-MST33^		portu{gal}
00:05:20:23 00:05:20:30					There’s PORTUGAL.	PORTUGAL-$CANDIDATE-MST33^		portu{gal}
00:05:20:30 00:05:20:32					I sign PORTUGAL.
00:05:20:32 00:05:20:33						I1
00:05:20:33 00:05:20:36
00:05:20:36 00:05:20:39	PORTUGAL.
00:05:20:39 00:05:21:08		PORTUGAL-$CANDIDATE-MST33^		por{tugal}		PORTUGAL3*		portugal
00:05:21:08 00:05:21:16
00:05:21:16 00:05:21:17	Oh, you sign PORTUGAL.				That’s great.	$INDEX1
00:05:21:17 00:05:21:22		PORTUGAL3*		portugal
00:05:21:22 00:05:21:23
00:05:21:23 00:05:21:25
00:05:21:25 00:05:21:31		YOU1
00:05:21:31 00:05:21:40						GOOD1		[MG]
00:05:21:40 00:05:21:48					Nice.
00:05:21:48 00:05:22:09						BEAUTIFUL1A		schön
00:05:22:09 00:05:22:10						BEAUTIFUL1A		schön
00:05:22:10 00:05:22:14					The landscape is great in the north.
00:05:22:14 00:05:22:22						NORTH1B		nord
00:05:22:22 00:05:22:27
00:05:22:27 00:05:22:38						AREA1A
00:05:22:38 00:05:22:42
00:05:22:42 00:05:23:03						BEAUTIFUL3		schön
00:05:23:03 00:05:23:10
00:05:23:10 00:05:23:31						LANDSCAPE2		landschaft
00:05:23:31 00:05:23:40					That’s nice.
00:05:23:40 00:05:24:01						BEAUTIFUL1A		schön
00:05:24:01 00:05:24:08
00:05:24:08 00:05:24:11						AREA1A^*
00:05:24:11 00:05:24:19
00:05:24:19 00:05:24:29						$GEST-OFF1^*
00:05:24:29 00:05:25:13
00:05:25:13 00:05:28:36									Asks whether he can imagine moving there.
00:05:28:36 00:05:29:12					Not really.	$GEST-NM-SHAKE-HEAD1^
00:05:29:12 00:05:30:04					Not really.
00:05:30:04 00:05:30:17	It’s nice to go there on holiday, yes.
00:05:30:17 00:05:30:19		FOR1		für
00:05:30:19 00:05:30:27
00:05:30:27 00:05:30:29		VACATION8A*		urlaub
00:05:30:29 00:05:30:37		VACATION8A*		urlaub	Exactly.
00:05:30:37 00:05:31:01
00:05:31:01 00:05:31:07		BEAUTIFUL1A*		schön		$INDEX1
00:05:31:07 00:05:31:14		BEAUTIFUL1A*		schön
00:05:31:14 00:05:31:33
00:05:31:33 00:05:31:36					Yes, holiday there.
00:05:31:36 00:05:31:43						YES1A		ja
00:05:31:43 00:05:32:10
00:05:32:10 00:05:32:14						VACATION8B		urlaub
00:05:32:14 00:05:32:16
00:05:32:16 00:05:32:23						$INDEX1
00:05:32:23 00:05:32:25
00:05:32:25 00:05:32:37					But I can't live there.
00:05:32:37 00:05:32:40						APARTMENT5*		wohn
00:05:32:40 00:05:32:45
00:05:32:45 00:05:32:49						CAN1*
00:05:32:49 00:05:33:02						I1*
00:05:33:02 00:05:33:21
00:05:33:21 00:05:33:24						$GEST-OFF1^*
00:05:33:24 00:05:33:31					I can’t write in German over there.
00:05:33:31 00:05:33:39						GERMAN1		deutsch
00:05:33:39 00:05:33:42
00:05:33:42 00:05:33:45						TO-WRITE1A*
00:05:33:45 00:05:33:49
00:05:33:49 00:05:34:10						CAN1*		[MG]
00:05:34:10 00:05:34:25
00:05:34:25 00:05:34:39						$INDEX1
00:05:34:39 00:05:35:13					I don’t know Portuguese.
00:05:35:13 00:05:35:22						PORTUGAL3*		portugiesisch
00:05:35:22 00:05:35:27
00:05:35:27 00:05:35:31						$INDEX1
00:05:35:31 00:05:35:35
00:05:35:35 00:05:35:46						LANGUAGE1*		sprache
00:05:35:46 00:05:35:48
00:05:35:48 00:05:36:08						CAN1*
00:05:36:08 00:05:36:12					I grew up in Germany, that doesn’t work.
00:05:36:12 00:05:36:13						I1
00:05:36:13 00:05:36:28
00:05:36:28 00:05:36:31						GERMAN1		deutsch
00:05:36:31 00:05:36:36
00:05:36:36 00:05:36:39						TO-BELONG1*
00:05:36:39 00:05:36:46
00:05:36:46 00:05:37:03						TO-GROW-UP1A
00:05:37:03 00:05:37:06
00:05:37:06 00:05:37:16						CAN1*
00:05:37:16 00:05:37:19
00:05:37:19 00:05:37:24						I2
00:05:37:24 00:05:37:41
00:05:37:41 00:05:38:38					Going there on holiday, yes, that’s alright.
00:05:38:38 00:05:38:47						ONLY2A		nur
00:05:38:47 00:05:39:02
00:05:39:02 00:05:39:12						VACATION8A		urlaub
00:05:39:12 00:05:39:18
00:05:39:18 00:05:39:24						YES2*		ja
00:05:39:24 00:05:39:35
00:05:39:35 00:05:39:38						$GEST-OFF1^*
00:05:39:38 00:05:39:40					But that’s it.
00:05:39:40 00:05:39:47						DONE1A
00:05:39:47 00:05:40:40
00:05:40:40 00:05:41:07
00:05:41:07 00:05:43:12									Asks about more countries.
00:05:43:12 00:05:43:39					I don’t really have anything else.
00:05:43:39 00:05:44:00						NONE7A		[MG]
00:05:44:00 00:05:44:05
00:05:44:05 00:05:46:06
00:05:46:06 00:05:46:24					Portugal, America is nice, too.
00:05:46:24 00:05:46:28						TO-KNOW-STH2A*
00:05:46:28 00:05:46:37
00:05:46:37 00:05:46:45						PORTUGAL3*		portugal
00:05:46:45 00:05:47:09
00:05:47:09 00:05:47:12						$INDEX1
00:05:47:12 00:05:47:16
00:05:47:16 00:05:47:35						AMERICA1*		amerika
00:05:47:35 00:05:47:42
00:05:47:42 00:05:47:48						ALSO1A		auch
00:05:47:48 00:05:48:03
00:05:48:03 00:05:48:08						BEAUTIFUL1A*		schön
00:05:48:08 00:05:48:23
00:05:48:23 00:05:48:29					The west, for example.
00:05:48:29 00:05:48:39						RIGHT2A^		west
00:05:48:39 00:05:49:09
00:05:49:09 00:05:49:32						ITALY1^*
00:05:49:32 00:05:49:35					As well as the east.
00:05:49:35 00:05:49:41						$GEST-OFF1^*
00:05:49:41 00:05:50:00
00:05:50:00 00:05:50:06						EAST2		ost
00:05:50:06 00:05:50:07
00:05:50:07 00:05:50:20					Oh well.
00:05:50:20 00:05:51:19						$GEST^		[MG]
00:05:51:19 00:05:51:32
00:05:51:32 00:05:52:05					There are different places.
00:05:52:05 00:05:52:10						MUCH5		v{iel}
00:05:52:10 00:05:52:14
00:05:52:14 00:05:52:34						$PROD*		[MG]
00:05:52:34 00:05:53:00
00:05:53:00 00:05:53:07					I like different places.
00:05:53:07 00:05:53:12						I1
00:05:53:12 00:05:53:18
00:05:53:18 00:05:53:22						TO-LIKE2*		[MG]
00:05:53:22 00:05:53:25
00:05:53:25 00:05:53:41						DISTINCT1
00:05:53:41 00:05:53:46
00:05:53:46 00:05:54:02						$INDEX1
00:05:54:02 00:05:54:04
00:05:54:04 00:05:54:06					It’s interesting to see them.
00:05:54:06 00:05:54:16						INTEREST1A
00:05:54:16 00:05:54:23
00:05:54:23 00:05:54:32						DISTINCT1*		{ver}sch
00:05:54:32 00:05:54:42
00:05:54:42 00:05:54:49					The culture is different in different countries.	CULTURE1A
00:05:54:49 00:05:55:05
00:05:55:05 00:05:55:15						COUNTRY1A		land
00:05:55:15 00:05:55:22
00:05:55:22 00:05:55:24						CULTURE1A		kultur
00:05:55:24 00:05:55:33
00:05:55:33 00:05:55:44						DISTINCT1*		versch
00:05:55:44 00:05:56:01
00:05:56:01 00:05:56:03						$GEST-OFF1^*
00:05:56:03 00:05:56:16					I can’t narrow it down to just one.
00:05:56:16 00:05:56:21						TO-PREFER2*		[MG]
00:05:56:21 00:05:56:24
00:05:56:24 00:05:56:28						I2
00:05:56:28 00:05:56:29
00:05:56:29 00:05:56:40							$GEST-OFF1^*
00:05:56:40 00:05:57:02
00:05:57:02 00:05:57:27
00:05:57:27 00:05:57:39					I always travel to another country each time.
00:05:57:39 00:05:57:44						TO-BELONG1^*		gern
00:05:57:44 00:05:58:03
00:05:58:03 00:05:58:12						EVERYONE1A*		jede
00:05:58:12 00:05:58:24
00:05:58:24 00:05:58:28						DIFFERENT2		andere
00:05:58:28 00:05:58:32
00:05:58:32 00:05:58:33						COUNTRY1A*
00:05:58:33 00:05:58:35					If I’ve been to one place before, I move on to the next one.
00:05:58:35 00:05:58:39						$INDEX1
00:05:58:39 00:05:58:48
00:05:58:48 00:05:59:04						BEEN1		gewesen
00:05:59:04 00:05:59:10
00:05:59:10 00:05:59:16						DIFFERENT2		ander
00:05:59:16 00:05:59:21
00:05:59:21 00:05:59:38						$PROD*
00:05:59:38 00:05:59:43					I don’t like traveling to the same place all the time.
00:05:59:43 00:06:00:11						SAME4		selbe selbe
00:06:00:11 00:06:00:23						BACK-AND-FORTH1*
00:06:00:23 00:06:00:27
00:06:00:27 00:06:00:32						I1
00:06:00:32 00:06:00:38
00:06:00:38 00:06:00:44						TO-LIKE4
00:06:00:44 00:06:00:46
00:06:00:46 00:06:01:00						NOT3A*
00:06:01:00 00:06:01:06
00:06:01:06 00:06:01:43									So you like traveling around.
00:06:01:43 00:06:02:46									So you like traveling around.
00:06:02:46 00:06:03:31
00:06:03:31 00:06:04:27									How about you?
00:06:04:27 00:06:04:44	Whether I only want to go to a specific country or would rather be surprised?								How about you?
00:06:04:44 00:06:04:48
00:06:04:48 00:06:05:20		SELF1A		selbst
00:06:05:20 00:06:05:35
00:06:05:35 00:06:05:41		REALLY2*
00:06:05:41 00:06:06:07
00:06:06:07 00:06:06:21		COUNTRY3A*		länder
00:06:06:21 00:06:06:31
00:06:06:31 00:06:06:49		CLUELESS1A		[MG]
00:06:06:49 00:06:07:03
00:06:07:03 00:06:07:07	I’m like you in that regard, I think.
00:06:07:07 00:06:07:13		I1
00:06:07:13 00:06:07:20
00:06:07:20 00:06:07:25		YOU1*		auch
00:06:07:25 00:06:07:32
00:06:07:32 00:06:07:43		LIKE1A*		wie
00:06:07:43 00:06:08:10
00:06:08:10 00:06:08:24		TO-PONDER1*		überlegen
00:06:08:24 00:06:08:29	I don’t want to tie myself down.
00:06:08:29 00:06:08:33		TO-WISH1B		wunsch
00:06:08:33 00:06:08:39
00:06:08:39 00:06:08:45		NOT3A		nicht
00:06:08:45 00:06:09:00
00:06:09:00 00:06:09:03		I1*
00:06:09:03 00:06:09:13
00:06:09:13 00:06:09:18		SOLID1		festlegen
00:06:09:18 00:06:09:25
00:06:09:25 00:06:09:40		IT-WORKS-OUT1^
00:06:09:40 00:06:10:20
00:06:10:20 00:06:10:28	I always want to see something new and different and be happy.
00:06:10:28 00:06:10:34		TO-WISH1E		wunsch
00:06:10:34 00:06:10:45
00:06:10:45 00:06:11:03		LIKE1A*		wie
00:06:11:03 00:06:11:09
00:06:11:09 00:06:11:15		I2
00:06:11:15 00:06:11:28
00:06:11:28 00:06:12:35		DIFFERENT6*
00:06:12:35 00:06:12:47
00:06:12:47 00:06:13:18		HAPPY1*
00:06:13:18 00:06:13:31	Whenever I travel, I want to take in new impressions and be overawed by them.
00:06:13:31 00:06:13:37		I1		warum ich
00:06:13:37 00:06:13:48
00:06:13:48 00:06:14:05		ALWAYS1A		immer
00:06:14:05 00:06:14:11
00:06:14:11 00:06:14:24		TO-KNOW-STH-OR-SB1A		kennen
00:06:14:24 00:06:14:29
00:06:14:29 00:06:14:37		IF-OR-WHEN1A		wenn
00:06:14:37 00:06:15:01
00:06:15:01 00:06:15:40		JOURNEY1A		[MG]
00:06:15:40 00:06:16:10
00:06:16:10 00:06:17:13		STREAM1^*
00:06:17:13 00:06:17:19
00:06:17:19 00:06:17:31		TO-INTERNALISE1
00:06:17:31 00:06:17:34
00:06:17:34 00:06:17:36	I feel nice then, I feel good.
00:06:17:36 00:06:18:03		LIKE3A		wie
00:06:18:03 00:06:18:18
00:06:18:18 00:06:19:12		WELL1*		wohl
00:06:19:12 00:06:19:24
00:06:19:24 00:06:19:27		FEELING3*
00:06:19:27 00:06:19:34
00:06:19:34 00:06:19:40		WELL1*		stimmt
00:06:19:40 00:06:19:48
00:06:19:48 00:06:20:19		RIGHT-OR-AGREED2*
00:06:20:19 00:06:20:27
00:06:20:27 00:06:20:32	I take it all in, I love that.
00:06:20:32 00:06:20:49		STREAM1^*
00:06:20:49 00:06:21:09
00:06:21:09 00:06:21:10		$GEST-OFF1^*
00:06:21:10 00:06:21:18
00:06:21:18 00:06:21:35		TO-BE-ENTRANCED1
00:06:21:35 00:06:21:40
00:06:21:40 00:06:21:46	Of course at some point, one is fed up.
00:06:21:46 00:06:22:01		SHOULD1		soll
00:06:22:01 00:06:22:08
00:06:22:08 00:06:22:17		SOMETIME1*		irgendwann
00:06:22:17 00:06:22:25
00:06:22:25 00:06:22:35		TO-BE-FED-UP1*
00:06:22:35 00:06:22:43
00:06:22:43 00:06:22:47	One always sees the same stuff anyway.
00:06:22:47 00:06:23:10		ANYWAY2		sowieso
00:06:23:10 00:06:23:20
00:06:23:20 00:06:23:22		TO-LOOK-AT2
00:06:23:22 00:06:23:28
00:06:23:28 00:06:23:43		SAME4		[MG]
00:06:23:43 00:06:24:04
00:06:24:04 00:06:24:10		TO-LOOK1
00:06:24:10 00:06:24:18
00:06:24:18 00:06:24:27		STREAM1^*
00:06:24:27 00:06:24:32
00:06:24:32 00:06:24:37	Then one can gather new experiences elsewhere.
00:06:24:37 00:06:24:42		THEN7		dann
00:06:24:42 00:06:25:02
00:06:25:02 00:06:25:14		TO-CHANGE2A^		woanders
00:06:25:14 00:06:25:33
00:06:25:33 00:06:26:00		NEW1A		neu
00:06:26:00 00:06:26:18
00:06:26:18 00:06:26:32		STREAM1^*
00:06:26:32 00:06:26:38
00:06:26:38 00:06:27:10	That’s great.	PERFECT4*		[MG]
00:06:27:10 00:06:27:39	But I also like the sea.
00:06:27:39 00:06:27:46		BUT1		aber
00:06:27:46 00:06:28:03		$ORAL^		auch
00:06:28:03 00:06:28:06
00:06:28:06 00:06:28:14		TO-LIKE2		[MG]
00:06:28:14 00:06:28:23
00:06:28:23 00:06:28:27		WHAT1A
00:06:28:27 00:06:28:33
00:06:28:33 00:06:28:48		OCEAN1B		meer
00:06:28:48 00:06:29:10
00:06:29:10 00:06:29:19		$INDEX1
00:06:29:19 00:06:29:27
00:06:29:27 00:06:29:37	The Baltic Sea, the sea, I feel good there.
00:06:29:37 00:06:29:47		$ALPHA1:S-E-E		ostsee
00:06:29:47 00:06:30:07
00:06:30:07 00:06:30:18		STREAM1^*
00:06:30:18 00:06:30:29
00:06:30:29 00:06:30:35		FEELING3
00:06:30:35 00:06:30:42
00:06:30:42 00:06:31:08		INFLUENCE1^*
00:06:31:08 00:06:31:36		WELL1*		wohl
00:06:31:36 00:06:31:44
00:06:31:44 00:06:32:11	I can breathe freely there.	$GEST^
00:06:32:11 00:06:32:19
00:06:32:19 00:06:32:24		LIKE1A		wie
00:06:32:24 00:06:32:38
00:06:32:38 00:06:33:09		AIR1*
00:06:33:09 00:06:33:11
00:06:33:11 00:06:33:22	The old air gets pushed out and I can breathe in anew.
00:06:33:22 00:06:33:32		OLD8B		alt
00:06:33:32 00:06:33:44
00:06:33:44 00:06:34:02		AIR1*		luft
00:06:34:02 00:06:34:19
00:06:34:19 00:06:34:31		PLANT1^*		raus
00:06:34:31 00:06:34:49
00:06:34:49 00:06:35:05		NEW1A		neu
00:06:35:05 00:06:35:07
00:06:35:07 00:06:35:29		TO-DEVOUR1C^*		rein
00:06:35:29 00:06:35:34	But at some point I get fed up, because it’s always the same.
00:06:35:34 00:06:35:42		ALREADY1A		stopp
00:06:35:42 00:06:36:01
00:06:36:01 00:06:36:14		SATED1		[MG]
00:06:36:14 00:06:36:21
00:06:36:21 00:06:36:39		SAME2A		selbe
00:06:36:39 00:06:36:46
00:06:36:46 00:06:36:48	Then, one can just travel to new places.
00:06:36:48 00:06:37:00		THEN7*	$INDEX1	dann
00:06:37:00 00:06:37:11
00:06:37:11 00:06:37:18		NEW1A		neu
00:06:37:18 00:06:37:24
00:06:37:24 00:06:37:49		TO-MOVE1^*		[MG]
00:06:37:49 00:06:38:06
00:06:38:06 00:06:38:12	Always being somewhere else, that’s important.
00:06:38:12 00:06:38:29		TO-SWAP3B*
00:06:38:29 00:06:38:44
00:06:38:44 00:06:39:03		IMPORTANT1*		wichtig
00:06:39:03 00:06:39:30
00:06:39:30 00:06:39:45	Bavaria isn’t too bad, either.
00:06:39:45 00:06:40:07		BAVARIA1*		bayern
00:06:40:07 00:06:40:16
00:06:40:16 00:06:40:18		ALSO1A*		auch nicht schlecht
00:06:40:18 00:06:40:26
00:06:40:26 00:06:40:33		BAD-OR-STALE1
00:06:40:33 00:06:40:38
00:06:40:38 00:06:40:48	The landscape, that’s quite nice.
00:06:40:48 00:06:41:20		$PROD*		la{ndschaft}
00:06:41:20 00:06:41:44
00:06:41:44 00:06:42:09		PLEASANT2		angenehm
00:06:42:09 00:06:42:16
00:06:42:16 00:06:42:20	But I couldn’t live there.
00:06:42:20 00:06:42:29		BUT1		aber
00:06:42:29 00:06:42:43
00:06:42:43 00:06:43:03		APARTMENT5		wohnen
00:06:43:03 00:06:43:14
00:06:43:14 00:06:43:40		CAN1*		[MG]
00:06:43:40 00:06:43:46
00:06:43:46 00:06:44:05		$GEST-OFF1^
00:06:44:05 00:06:44:14
00:06:44:14 00:06:44:28	I need to get out of there.
00:06:44:28 00:06:44:35		MUST1		muss
00:06:44:35 00:06:44:40
00:06:44:40 00:06:45:04		DEPARTURE1
00:06:45:04 00:06:45:22
00:06:45:22 00:06:45:30	I always need something different.
00:06:45:30 00:06:45:34		LIKE-SAYING1*		wie
00:06:45:34 00:06:45:43
00:06:45:43 00:06:46:20		TO-SWAP3B*
00:06:46:20 00:06:48:22
00:06:48:22 00:06:49:04	I’m very flexible and open, traveling a lot.
00:06:49:04 00:06:49:20		FLEXIBLE4*		oft flexibel
00:06:49:20 00:06:49:27
00:06:49:27 00:06:49:41		VERY7*		[MG]
00:06:49:41 00:06:50:01
00:06:50:01 00:06:50:10		OPEN1		offen
00:06:50:10 00:06:50:18
00:06:50:18 00:06:50:22		I2
00:06:50:22 00:06:50:27
00:06:50:27 00:06:51:01		AREA1A^*		[MG]
00:06:51:01 00:06:51:07
00:06:51:07 00:06:51:19	It’s the same abroad.
00:06:51:19 00:06:51:22		ALSO3A*		auch
00:06:51:22 00:06:51:26
00:06:51:26 00:06:51:39		ABROAD2*		ausland
00:06:51:39 00:06:51:42
00:06:51:42 00:06:52:13		SAME2A*		selbe
00:06:52:13 00:06:52:21
00:06:52:21 00:06:52:26	All the different places can be very beautiful.
00:06:52:26 00:06:52:30		I1	$INDEX1	wir
00:06:52:30 00:06:52:40
00:06:52:40 00:06:52:47		TO-COME1*
00:06:52:47 00:06:52:48
00:06:52:48 00:06:53:04		REASON4A^*		mal
00:06:53:04 00:06:53:13
00:06:53:13 00:06:53:17		$INDEX1		da
00:06:53:17 00:06:53:24
00:06:53:24 00:06:53:32		NOT-BAD1*		nicht schlecht
00:06:53:32 00:06:53:39
00:06:53:39 00:06:53:47		$INDEX1		da
00:06:53:47 00:06:54:06
00:06:54:06 00:06:54:12		$INDEX1		da
00:06:54:12 00:06:54:19
00:06:54:19 00:06:54:27		GOOD1		[MG]
00:06:54:27 00:06:54:48
00:06:54:48 00:06:55:47
00:06:55:47 00:07:03:06									Asks how often he goes to the countryside or the city.
00:07:03:06 00:07:04:24									Do you prefer to be in the city or in the country?
00:07:04:24 00:07:04:28					Both.	I2
00:07:04:28 00:07:04:41
00:07:04:41 00:07:05:05						BOTH2A*		beide
00:07:05:05 00:07:05:12
00:07:05:12 00:07:05:21						$GEST-OFF1^*
00:07:05:21 00:07:05:33
00:07:05:33 00:07:08:48
00:07:08:48 00:07:09:11					I like capital cities.
00:07:09:11 00:07:09:13						I2
00:07:09:13 00:07:09:18
00:07:09:18 00:07:09:24						GLADLY1		gern
00:07:09:24 00:07:09:33
00:07:09:33 00:07:09:40						$MORPH-MAIN1A		hauptstadt
00:07:09:40 00:07:09:44
00:07:09:44 00:07:10:06						CITY2*
00:07:10:06 00:07:10:12
00:07:10:12 00:07:10:20					The city.
00:07:10:20 00:07:10:25						$INDEX2
00:07:10:25 00:07:10:37
00:07:10:37 00:07:10:46						CITY2*
00:07:10:46 00:07:11:30
00:07:11:30 00:07:11:44					The city.
00:07:11:44 00:07:11:45						I1*
00:07:11:45 00:07:12:01
00:07:12:01 00:07:12:06						CITY2*
00:07:12:06 00:07:12:12
00:07:12:12 00:07:12:20					One can walk around, go shopping, look at the old town, the culture, that’s interesting.
00:07:12:20 00:07:12:29						INTEREST1A		[MG]
00:07:12:29 00:07:12:39
00:07:12:39 00:07:12:41						TO-LOOK-AT2
00:07:12:41 00:07:13:08
00:07:13:08 00:07:13:14						WHAT-DOES-THAT-MEAN1*
00:07:13:14 00:07:13:24
00:07:13:24 00:07:13:31						DIFFERENT1*		[MG]
00:07:13:31 00:07:13:41
00:07:13:41 00:07:13:47						OLD5B		altstadt
00:07:13:47 00:07:14:03
00:07:14:03 00:07:14:08						CITY2*
00:07:14:08 00:07:14:15
00:07:14:15 00:07:14:17						TO-SEE1*
00:07:14:17 00:07:14:21
00:07:14:21 00:07:14:30						WHAT-DOES-THAT-MEAN1		was
00:07:14:30 00:07:14:36
00:07:14:36 00:07:14:38						TO-BELONG1
00:07:14:38 00:07:14:49
00:07:14:49 00:07:15:12						CULTURE1A		kultur
00:07:15:12 00:07:15:19
00:07:15:19 00:07:15:30						INTEREST1A*
00:07:15:30 00:07:15:34
00:07:15:34 00:07:15:44					You can’t do that in the country.
00:07:15:44 00:07:15:45						$INDEX1
00:07:15:45 00:07:15:49
00:07:15:49 00:07:16:03						COUNTRY3A*		land
00:07:16:03 00:07:16:07
00:07:16:07 00:07:16:18						$GEST-OFF1^
00:07:16:18 00:07:16:35
00:07:16:35 00:07:17:03					But there are beautiful landscapes.
00:07:17:03 00:07:17:10						ALSO1A		auch
00:07:17:10 00:07:17:18
00:07:17:18 00:07:17:22						$GEST-OFF1^*
00:07:17:22 00:07:17:27
00:07:17:27 00:07:17:36						ALSO1A	$INDEX1
00:07:17:36 00:07:18:01
00:07:18:01 00:07:18:08						BEAUTIFUL1A		schön
00:07:18:08 00:07:18:16
00:07:18:16 00:07:18:31						LANDSCAPE2		landschaft
00:07:18:31 00:07:18:37
00:07:18:37 00:07:18:39						$GEST-OFF1^*
00:07:18:39 00:07:18:44					One can go hiking in the country.
00:07:18:44 00:07:19:10						TO-HIKE2		wandern
00:07:19:10 00:07:19:14
00:07:19:14 00:07:19:22						$INDEX1
00:07:19:22 00:07:19:31
00:07:19:31 00:07:19:38						COUNTRY3A*		land
00:07:19:38 00:07:19:48
00:07:19:48 00:07:20:05					It takes turns.
00:07:20:05 00:07:20:17						TO-SWAP3B
00:07:20:17 00:07:20:46
00:07:20:46 00:07:21:20					I’m there from time to time.
00:07:21:20 00:07:21:27						TO-COME-PASS2*		vorbei
00:07:21:27 00:07:21:32
00:07:21:32 00:07:21:33						$INDEX1
00:07:21:33 00:07:21:48
00:07:21:48 00:07:22:12									Says that in the country, one can grab the soccer ball if it rolls off, in the city, it’s gone.
00:07:22:12 00:07:29:05
00:07:29:05 00:07:29:15					One can shoot far, maybe that’s an advantage.
00:07:29:15 00:07:29:17						THERE1
00:07:29:17 00:07:29:20
00:07:29:20 00:07:29:25						$INDEX1
00:07:29:25 00:07:29:38
00:07:29:38 00:07:29:45						ADVANTAGE2		vorteil
00:07:29:45 00:07:29:48
00:07:29:48 00:07:30:06	Ha, ha, ha.
00:07:30:06 00:07:30:07						$GEST-OFF1^
00:07:30:07 00:07:30:20
00:07:30:20 00:07:31:12			FUNNY1*
00:07:31:12 00:07:31:40
00:07:31:40 00:07:32:18
00:07:32:18 00:07:37:10									Asks whether there are differences between the people from the city and the country.
00:07:37:10 00:07:37:46	Yes.
00:07:37:46 00:07:38:04		YES2*		ja
00:07:38:04 00:07:38:12
00:07:38:12 00:07:38:19	I recently noticed that.
00:07:38:19 00:07:38:32		I1*		ich
00:07:38:32 00:07:38:41
00:07:38:41 00:07:38:46		NOW3		jetzt
00:07:38:46 00:07:39:11
00:07:39:11 00:07:39:42		TO-STRIKE1A		auffallen
00:07:39:42 00:07:39:49
00:07:39:49 00:07:40:09	For a long time, it was like this:
00:07:40:09 00:07:40:25		ACTUALLY1A		eigentlich
00:07:40:25 00:07:40:32
00:07:40:32 00:07:40:39		$GEST^
00:07:40:39 00:07:40:48
00:07:40:48 00:07:41:06		LONG-TIME1C		lang
00:07:41:06 00:07:41:12
00:07:41:12 00:07:41:30		TO-SPIN1B^*		zeit
00:07:41:30 00:07:41:37
00:07:41:37 00:07:41:46		WHAT1A		was
00:07:41:46 00:07:42:07
00:07:42:07 00:07:42:11		$INDEX1
00:07:42:11 00:07:42:25
00:07:42:25 00:07:43:05		$GEST-TO-PONDER1^
00:07:43:05 00:07:43:19
00:07:43:19 00:07:43:28	A lot of people moved from the country to a city.
00:07:43:28 00:07:44:00		HUMAN2*		mensch
00:07:44:00 00:07:44:19
00:07:44:19 00:07:44:27		$CUED-SPEECH*		von
00:07:44:27 00:07:44:33
00:07:44:33 00:07:44:43		COUNTRY3A*		land
00:07:44:43 00:07:45:10
00:07:45:10 00:07:45:47		FAR1*		[MG]
00:07:45:47 00:07:46:06
00:07:46:06 00:07:46:16		CITY2*		stadt
00:07:46:16 00:07:46:27
00:07:46:27 00:07:47:40		MASS-OF-PEOPLE-ACTIVE1*		[MG]
00:07:47:40 00:07:47:47	Mainly young people.
00:07:47:47 00:07:48:02		PARTICULARLY1A		besonders
00:07:48:02 00:07:48:10		YOUNG1*		junge
00:07:48:10 00:07:48:16
00:07:48:16 00:07:48:25		PEOPLE2*		leute
00:07:48:25 00:07:48:39
00:07:48:39 00:07:48:43		PARTICULARLY1A		besonders
00:07:48:43 00:07:49:01
00:07:49:01 00:07:49:13		ALL2B
00:07:49:13 00:07:49:14
00:07:49:14 00:07:49:20	They did an apprenticeship there and were more able to get what they needed.
00:07:49:20 00:07:49:26		REASON4B		grund
00:07:49:26 00:07:49:34
00:07:49:34 00:07:50:13		EDUCATION1		ausbildung
00:07:50:13 00:07:50:39
00:07:50:39 00:07:50:43		COHERENCE1A
00:07:50:43 00:07:51:02
00:07:51:02 00:07:51:09		PARTICULARLY1A		besonders
00:07:51:09 00:07:51:17
00:07:51:17 00:07:51:22		WHAT-DOES-THAT-MEAN1*		was
00:07:51:22 00:07:51:33
00:07:51:33 00:07:51:43		TO-NEED1*		brauchen
00:07:51:43 00:07:52:08
00:07:52:08 00:07:52:28		TO-OBTAIN3*
00:07:52:28 00:07:52:29
00:07:52:29 00:07:52:41	You usually get that in the city.
00:07:52:41 00:07:52:43		$INDEX1
00:07:52:43 00:07:52:49
00:07:52:49 00:07:53:06		TO-OBTAIN1*		bekommen
00:07:53:06 00:07:53:17
00:07:53:17 00:07:53:23		MOST1B		meistens
00:07:53:23 00:07:53:34
00:07:53:34 00:07:53:44		THROUGH2A		durch
00:07:53:44 00:07:54:06
00:07:54:06 00:07:54:17		CITY2		stadt
00:07:54:17 00:07:54:27
00:07:54:27 00:07:54:33		$INDEX1
00:07:54:33 00:07:54:39
00:07:54:39 00:07:54:41	That’s why a lot of them went away.
00:07:54:41 00:07:55:00		THEREFORE1*		darum
00:07:55:00 00:07:55:10
00:07:55:10 00:07:55:17		MUCH5		viel
00:07:55:17 00:07:55:20
00:07:55:20 00:07:56:01		TO-WALK-AWAY1*		[MG]
00:07:56:01 00:07:56:16	But it’s not that extreme in Germany, I think.
00:07:56:16 00:07:56:32		MAIN1A^*		aber
00:07:56:32 00:07:56:41
00:07:56:41 00:07:56:46		GERMAN1		deutschland
00:07:56:46 00:07:57:04
00:07:57:04 00:07:57:07		NOT3A*		nicht
00:07:57:07 00:07:57:17
00:07:57:17 00:07:57:25		EXTREME1		extrem
00:07:57:25 00:07:57:31
00:07:57:31 00:07:57:36		TO-BELIEVE2A*		glaube
00:07:57:36 00:07:57:39
00:07:57:39 00:07:58:08		I1
00:07:58:08 00:07:58:14
00:07:58:14 00:07:58:23	It is in other countries, it’s more extreme there.
00:07:58:23 00:07:58:32		DIFFERENT1		anders
00:07:58:32 00:07:58:42
00:07:58:42 00:07:59:04		COUNTRY3A*		länder
00:07:59:04 00:07:59:10
00:07:59:10 00:07:59:14		YES1A		ja
00:07:59:14 00:07:59:24
00:07:59:24 00:07:59:29		EXTREME1		extrem
00:07:59:29 00:07:59:34
00:07:59:34 00:08:00:09		$INDEX1*
00:08:00:09 00:08:00:18	I think that’s how it is in America, for example.
00:08:00:18 00:08:00:32		EXAMPLE1		zum beispiel
00:08:00:32 00:08:00:48
00:08:00:48 00:08:01:10		$GEST-OFF1^*		[MG]
00:08:01:10 00:08:01:21
00:08:01:21 00:08:01:25		TO-BELIEVE2A
00:08:01:25 00:08:01:43
00:08:01:43 00:08:02:08		TO-PONDER1*		[MG]
00:08:02:08 00:08:02:11
00:08:02:11 00:08:02:18		AMERICA3*		amerika
00:08:02:18 00:08:02:24
00:08:02:24 00:08:02:28		TO-BELIEVE2A*		glaube
00:08:02:28 00:08:02:33
00:08:02:33 00:08:02:40		THERE1
00:08:02:40 00:08:02:44
00:08:02:44 00:08:03:03		YES1A		ja
00:08:03:03 00:08:03:17
00:08:03:17 00:08:03:19	For example in the country/				But that happens in Germany, as well.
00:08:03:19 00:08:03:24		EXAMPLE1		zum beispiel
00:08:03:24 00:08:03:27						HERE-NOW1^*		aber
00:08:03:27 00:08:03:31
00:08:03:31 00:08:03:34						GERMAN1*		deutschland
00:08:03:34 00:08:03:46
00:08:03:46 00:08:03:47		COUNTRY3A*		land
00:08:03:47 00:08:04:02
00:08:04:02 00:08:04:08						ALSO1A*		auch
00:08:04:08 00:08:04:17						HERE1
00:08:04:17 00:08:04:20	In Germany, oh well.					HERE1
00:08:04:20 00:08:04:24
00:08:04:24 00:08:04:33		$INDEX1		oder
00:08:04:33 00:08:04:41						THERE1
00:08:04:41 00:08:04:47		GERMAN1		deutschland
00:08:04:47 00:08:04:49
00:08:04:49 00:08:05:10					Many move to the Ruhr area from the Sauerland.
00:08:05:10 00:08:05:16						SAUERLAND1		sauerland
00:08:05:16 00:08:05:24		$GEST^				SAUERLAND1		sauerland
00:08:05:24 00:08:05:30
00:08:05:30 00:08:05:32						ALSO1A		auch
00:08:05:32 00:08:05:34
00:08:05:34 00:08:05:35	Right.
00:08:05:35 00:08:05:39
00:08:05:39 00:08:06:02		$INDEX1				MUCH5		viel
00:08:06:02 00:08:06:07						MUCH5		viel
00:08:06:07 00:08:06:17
00:08:06:17 00:08:06:25						LOCATION1C*
00:08:06:25 00:08:06:31						TO-HIKE2*		auswandern
00:08:06:31 00:08:06:41
00:08:06:41 00:08:07:29						$PROD*
00:08:07:29 00:08:07:40
00:08:07:40 00:08:07:47						$ALPHA1:R		ruhrgebiet
00:08:07:47 00:08:08:12						OFF-OR-AWAY1*		ruhrgebiet
00:08:08:12 00:08:08:21
00:08:08:21 00:08:08:22					There are less and less people in the Sauerland.	$INDEX1
00:08:08:22 00:08:08:29
00:08:08:29 00:08:08:31						SAUERLAND1*		sauerland
00:08:08:31 00:08:08:44
00:08:08:44 00:08:09:03						LITTLE-BIT7A		[MG]
00:08:09:03 00:08:09:05
00:08:09:05 00:08:09:14						ALSO1A		auch
00:08:09:14 00:08:09:22
00:08:09:22 00:08:09:44					It’s just boring there.
00:08:09:44 00:08:09:46						$INDEX1
00:08:09:46 00:08:10:06
00:08:10:06 00:08:10:16						BOREDOM1		langweilig
00:08:10:16 00:08:10:24
00:08:10:24 00:08:10:25						$GEST^
00:08:10:25 00:08:10:30	That feeling, one becomes nervous there.				The connection is bad.
00:08:10:30 00:08:10:33						BAD-OR-STALE2A		schlecht
00:08:10:33 00:08:10:40
00:08:10:40 00:08:10:43						LINK1		verbindung
00:08:10:43 00:08:10:47		$GEST-OFF1^*
00:08:10:47 00:08:11:01
00:08:11:01 00:08:11:09
00:08:11:09 00:08:11:12		$GEST^
00:08:11:12 00:08:11:21
00:08:11:21 00:08:11:26		$GEST-OFF1^
00:08:11:26 00:08:11:27
00:08:11:27 00:08:11:31						$GEST-OFF1^*
00:08:11:31 00:08:11:34					What’s typical for hearing people, for example, is a disco.
00:08:11:34 00:08:11:44		FEELING3
00:08:11:44 00:08:11:49
00:08:11:49 00:08:12:07		NERVOUS1B				$GEST^
00:08:12:07 00:08:12:17		NERVOUS1B
00:08:12:17 00:08:12:20
00:08:12:20 00:08:12:22						$INDEX1
00:08:12:22 00:08:12:25
00:08:12:25 00:08:12:29						TYPICAL1		typisch
00:08:12:29 00:08:12:34
00:08:12:34 00:08:12:39						HEARING1A		hörend
00:08:12:39 00:08:12:48
00:08:12:48 00:08:13:07						DISCO2		disco
00:08:13:07 00:08:13:14
00:08:13:14 00:08:13:18					There aren’t any.	$INDEX1
00:08:13:18 00:08:13:26
00:08:13:26 00:08:13:30						$GEST-OFF1^
00:08:13:30 00:08:13:39					They’re far away, one has to go there first and then back again.
00:08:13:39 00:08:14:12						FAR1*		[MG]
00:08:14:12 00:08:14:15
00:08:14:15 00:08:14:29						DISCO2		disco
00:08:14:29 00:08:14:38
00:08:14:38 00:08:15:04						TO-COME1
00:08:15:04 00:08:15:14
00:08:15:14 00:08:15:17						$GEST-OFF1^*
00:08:15:17 00:08:15:48
00:08:15:48 00:08:16:04					That’s why a lot of people flee.
00:08:16:04 00:08:16:07						THUS1		{da}rum
00:08:16:07 00:08:16:12
00:08:16:12 00:08:16:14						MOST1A*
00:08:16:14 00:08:16:20	That’s true.
00:08:16:20 00:08:16:24		RIGHT-OR-AGREED1A		stimmt
00:08:16:24 00:08:16:30		RIGHT-OR-AGREED1A		stimmt		$PROD*		[MG]
00:08:16:30 00:08:17:02						$PROD*		[MG]
00:08:17:02 00:08:17:29
00:08:17:29 00:08:19:26
00:08:19:26 00:08:19:35	But I think that exists mostly in other countries, in the third world.
00:08:19:35 00:08:19:44		$ORAL^		aber
00:08:19:44 00:08:20:03
00:08:20:03 00:08:20:09		TO-THINK1A		denke
00:08:20:09 00:08:20:14
00:08:20:14 00:08:20:28		PARTICULARLY1B		besonders
00:08:20:28 00:08:20:41
00:08:20:41 00:08:20:43		$GEST-OFF1^*		was
00:08:20:43 00:08:21:04
00:08:21:04 00:08:21:11		$NUM-ORDINAL1:3d		dritte
00:08:21:11 00:08:21:29
00:08:21:29 00:08:21:46		COUNTRY3A*		ländern
00:08:21:46 00:08:22:05
00:08:22:05 00:08:22:08	Like India, for example.
00:08:22:08 00:08:22:20		EXAMPLE1		beispiel
00:08:22:20 00:08:22:39
00:08:22:39 00:08:23:13		INDIA1*		indien
00:08:23:13 00:08:23:16
00:08:23:16 00:08:24:03	India, is it signed like this or like that?
00:08:24:03 00:08:24:20		INDIA3		indien
00:08:24:20 00:08:24:31
00:08:24:31 00:08:24:44		TO-SIGN1A*
00:08:24:44 00:08:25:01
00:08:25:01 00:08:25:09		INDIA3		indien
00:08:25:09 00:08:25:15
00:08:25:15 00:08:25:26		INDIA1*		indien
00:08:25:26 00:08:25:30
00:08:25:30 00:08:25:32	It means the same.
00:08:25:32 00:08:25:41		LIKE3A*
00:08:25:41 00:08:26:01
00:08:26:01 00:08:26:08		INDIA3		indien
00:08:26:08 00:08:26:30
00:08:26:30 00:08:26:42	It’s very different in India.	$INDEX1
00:08:26:42 00:08:27:02
00:08:27:02 00:08:27:16		DIFFERENCE1B
00:08:27:16 00:08:27:22
00:08:27:22 00:08:27:30		$INDEX1
00:08:27:30 00:08:27:48
00:08:27:48 00:08:28:02	Yes, it’s especially extreme with them.
00:08:28:02 00:08:28:15		YES1A		ja
00:08:28:15 00:08:28:27
00:08:28:27 00:08:28:45		VERY7		[MG]
00:08:28:45 00:08:29:09
00:08:29:09 00:08:29:24	Especially in the country, there is absolutely no work there.
00:08:29:24 00:08:29:31		PARTICULARLY1B		beson
00:08:29:31 00:08:29:43
00:08:29:43 00:08:30:15		COUNTRY3A*		land land land
00:08:30:15 00:08:30:28
00:08:30:28 00:08:30:31		$GEST-OFF1^*
00:08:30:31 00:08:30:40
00:08:30:40 00:08:30:45		TO-WORK1*		arbeit
00:08:30:45 00:08:31:10
00:08:31:10 00:08:31:25		NOTHING1B		nichts
00:08:31:25 00:08:31:39
00:08:31:39 00:08:31:44	Many move to the city to earn money.
00:08:31:44 00:08:31:47		MONEY1C*		geld
00:08:31:47 00:08:32:01
00:08:32:01 00:08:32:10		TO-EARN1*
00:08:32:10 00:08:32:17
00:08:32:17 00:08:32:28		HOW-QUESTION1		wie
00:08:32:28 00:08:32:36
00:08:32:36 00:08:32:46		TO-NEED1		brauchen
00:08:32:46 00:08:33:02
00:08:33:02 00:08:33:09		MOST1B*		immer
00:08:33:09 00:08:33:18
00:08:33:18 00:08:33:31		TO-COME1
00:08:33:31 00:08:33:36
00:08:33:36 00:08:33:42		CITY2		stadt
00:08:33:42 00:08:34:05
00:08:34:05 00:08:34:18		MASS-OF-PEOPLE-ACTIVE1		[MG]
00:08:34:18 00:08:34:33
00:08:34:33 00:08:35:01	It’s very extreme in Mexico, too.
00:08:35:01 00:08:35:16		MEXICO3*		mexiko
00:08:35:16 00:08:35:23
00:08:35:23 00:08:35:40		PARTICULARLY1B		besonders
00:08:35:40 00:08:36:26
00:08:36:26 00:08:36:41		VERY7
00:08:36:41 00:08:36:46	There as well.
00:08:36:46 00:08:37:07		ALSO1A		auch
00:08:37:07 00:08:37:22
00:08:37:22 00:08:37:27	That’s how it is in many countries.
00:08:37:27 00:08:37:40		TO-LIST1A*		[MG]
00:08:37:40 00:08:37:47
00:08:37:47 00:08:38:03		VERY7		[MG]
00:08:38:03 00:08:38:15
00:08:38:15 00:08:38:44	Looking at it internationally, it happens a lot.
00:08:38:44 00:08:39:03		INTERNATIONAL1*		international
00:08:39:03 00:08:39:11
00:08:39:11 00:08:39:30		PERSPECTIVE2*
00:08:39:30 00:08:39:43
00:08:39:43 00:08:40:10		MUCH1C		viel
00:08:40:10 00:08:40:36
00:08:40:36 00:08:40:41	It’s called city/ rural exodus.
00:08:40:41 00:08:41:02		TO-SAY2A*		man sagt
00:08:41:02 00:08:41:08
00:08:41:08 00:08:41:15		EXACTLY-THAT1
00:08:41:15 00:08:41:17
00:08:41:17 00:08:41:23		$INDEX1
00:08:41:23 00:08:41:33
00:08:41:33 00:08:41:39		CITY2*		s{tadt}
00:08:41:39 00:08:42:14
00:08:42:14 00:08:42:41		COUNTRY1A*		landflucht
00:08:42:41 00:08:43:05
00:08:43:05 00:08:43:25		FLIGHT1A
00:08:43:25 00:08:44:33
00:08:44:33 00:08:45:13
00:08:45:13 00:08:51:04									Asks whether those people go back to the country after their work.
00:08:51:04 00:08:51:22	I heard that the following is typical for America:
00:08:51:22 00:08:51:30		AMERICA1*		amerika
00:08:51:30 00:08:51:36
00:08:51:36 00:08:51:38			$INDEX1
00:08:51:38 00:08:51:43		I2
00:08:51:43 00:08:51:49
00:08:51:49 00:08:52:05		TO-LEARN-STH1B
00:08:52:05 00:08:52:10
00:08:52:10 00:08:52:13		AMERICA1*		amerika
00:08:52:13 00:08:52:22
00:08:52:22 00:08:52:28		TYPICAL1*		typisch
00:08:52:28 00:08:52:32
00:08:52:32 00:08:52:43		WHAT1B*		was
00:08:52:43 00:08:52:46
00:08:52:46 00:08:53:01		$INDEX1
00:08:53:01 00:08:53:05
00:08:53:05 00:08:53:06	Usually, politicians or rich people need to do something when they resign from office.
00:08:53:06 00:08:53:14		MOST1B		meist
00:08:53:14 00:08:53:21
00:08:53:21 00:08:53:36		POLITICS1		politik
00:08:53:36 00:08:53:45
00:08:53:45 00:08:54:12		OR1*		oder
00:08:54:12 00:08:54:30
00:08:54:30 00:08:54:35		PEOPLE2*		leute
00:08:54:35 00:08:54:43
00:08:54:43 00:08:55:11		RICH5*		[MG]
00:08:55:11 00:08:56:03
00:08:56:03 00:08:56:22		DONE1A		fertig
00:08:56:22 00:08:56:48
00:08:56:48 00:08:57:11		MUST1		muss
00:08:57:11 00:08:57:22
00:08:57:22 00:08:57:34		REALLY1*		wirklich
00:08:57:34 00:08:57:40
00:08:57:40 00:08:57:46	They need to, by a state/
00:08:57:46 00:08:58:09		FROM-OR-BY-OR-OF2*		von
00:08:58:09 00:08:58:15		$INDEX1		[MG]
00:08:58:15 00:08:58:39
00:08:58:39 00:08:59:15		STATE1A		staat
00:08:59:15 00:08:59:32
00:08:59:32 00:08:59:44		PLANE3A^		[MG]
00:08:59:44 00:09:00:07
00:09:00:07 00:09:00:14		$INDEX1
00:09:00:14 00:09:00:18
00:09:00:18 00:09:00:30	They have federal states there, which you can sign like this, too.
00:09:00:30 00:09:00:48		AREA1A^		bundesstaat
00:09:00:48 00:09:01:08
00:09:01:08 00:09:01:25		PLANE1^
00:09:01:25 00:09:01:42
00:09:01:42 00:09:02:13		CIRCLE1B^*		bundes
00:09:02:13 00:09:02:23
00:09:02:23 00:09:02:32		ASSOCIATION3C		bundesstaat
00:09:02:32 00:09:02:44
00:09:02:44 00:09:03:02		COUNTRY3A*
00:09:03:02 00:09:03:12
00:09:03:12 00:09:03:18	Once the people are dismissed, they get sent elsewhere.
00:09:03:18 00:09:03:31		$INDEX1
00:09:03:31 00:09:04:03
00:09:04:03 00:09:04:15		OUT1*		raus
00:09:04:15 00:09:04:24
00:09:04:24 00:09:04:33		LIKE3A*		wie
00:09:04:33 00:09:04:43
00:09:04:43 00:09:05:06		TO-CHANGE2A^*		woanders
00:09:05:06 00:09:05:10
00:09:05:10 00:09:05:14		THERE1
00:09:05:14 00:09:05:16
00:09:05:16 00:09:05:18	Usually to Texas or something like that.
00:09:05:18 00:09:05:27		MOST1B		[MG]
00:09:05:27 00:09:05:38
00:09:05:38 00:09:06:05		$ALPHA2:T		texas
00:09:06:05 00:09:06:10
00:09:06:10 00:09:06:42		$ALPHA1:E-L-A-S
00:09:06:42 00:09:07:04
00:09:07:04 00:09:07:16		TO1*
00:09:07:16 00:09:07:26
00:09:07:26 00:09:07:35		OR1*		oder
00:09:07:35 00:09:07:41
00:09:07:41 00:09:07:48	Usually, they retire.
00:09:07:48 00:09:08:05		$INDEX1
00:09:08:05 00:09:08:09
00:09:08:09 00:09:08:14		MOST1B*		meist
00:09:08:14 00:09:08:44
00:09:08:44 00:09:09:08		TO-SIT1A		[MG]
00:09:09:08 00:09:09:22
00:09:09:22 00:09:09:33	They have a house and retire.
00:09:09:33 00:09:09:47		HOUSE1B*		haus
00:09:09:47 00:09:10:10
00:09:10:10 00:09:10:23		TO-SIT1A		[MG]
00:09:10:23 00:09:10:27
00:09:10:27 00:09:10:39	Then they sit outside and don’t do anything.
00:09:10:39 00:09:10:46		OUTSIDE1		drau{ßen}
00:09:10:46 00:09:11:09
00:09:11:09 00:09:11:31		TO-SIT1A*		[MG]
00:09:11:31 00:09:11:44
00:09:11:44 00:09:12:11	That’s typical, it’s shown that way in movies.
00:09:12:11 00:09:12:20		TYPICAL1*		typisch
00:09:12:20 00:09:12:37
00:09:12:37 00:09:12:45		CAMERA4^*		film
00:09:12:45 00:09:13:01
00:09:13:01 00:09:13:15		TO-STRIKE1A^
00:09:13:15 00:09:13:21
00:09:13:21 00:09:13:31		LIKE-THIS1A*		so
00:09:13:31 00:09:13:48
00:09:13:48 00:09:14:07		YOU-PLURAL1A
00:09:14:07 00:09:14:14	I think Ronald was president there.
00:09:14:14 00:09:14:26		EXAMPLE1*		zum beispiel
00:09:14:26 00:09:14:37
00:09:14:37 00:09:14:44		TO-BELIEVE2A*		glaube
00:09:14:44 00:09:14:48
00:09:14:48 00:09:15:23		$NAME*		ronald
00:09:15:23 00:09:15:35
00:09:15:35 00:09:15:45		TO-BELONG1^		[MG]
00:09:15:45 00:09:16:05
00:09:16:05 00:09:16:13		$INDEX1
00:09:16:13 00:09:16:28
00:09:16:28 00:09:16:38		PRESIDENT1		präsident
00:09:16:38 00:09:16:49
00:09:16:49 00:09:17:15		$ALPHA1:I-E-D
00:09:17:15 00:09:17:22
00:09:17:22 00:09:17:29		BACK-THEN1
00:09:17:29 00:09:17:38
00:09:17:38 00:09:17:41	He’s supposedly retired now, he finished his work.
00:09:17:41 00:09:17:47		NOW3		jetzt
00:09:17:47 00:09:18:11
00:09:18:11 00:09:18:18		SHOULD1		soll
00:09:18:18 00:09:18:30
00:09:18:30 00:09:18:38		THROUGH2B		durch
00:09:18:38 00:09:19:12
00:09:19:12 00:09:19:38		PENSION5		rente
00:09:19:38 00:09:20:02
00:09:20:02 00:09:20:10		TO-WORK2		arbeit
00:09:20:10 00:09:20:21
00:09:20:21 00:09:20:35		FINISH1
00:09:20:35 00:09:20:48
00:09:20:48 00:09:21:18	He moved and now owns a house where he can put his feet up.
00:09:21:18 00:09:21:40		TO-MOVE1*		[MG]
00:09:21:40 00:09:21:48
00:09:21:48 00:09:22:10		HOUSE1B		haus
00:09:22:10 00:09:22:23
00:09:22:23 00:09:22:40		TO-LIE-LEG1A^*		[MG]
00:09:22:40 00:09:23:10
00:09:23:10 00:09:23:40		$PROD*
00:09:23:40 00:09:24:00
00:09:24:00 00:09:24:06		$GEST-OFF1^
00:09:24:06 00:09:24:18	It’s like that image/
00:09:24:18 00:09:24:37		LIKE3B		wie
00:09:24:37 00:09:25:03
00:09:25:03 00:09:25:15		PICTURE1		bild
00:09:25:15 00:09:25:23	Or Bush, too, he moved out of the White House after his term.
00:09:25:23 00:09:25:26		OR4B*		oder
00:09:25:26 00:09:25:35
00:09:25:35 00:09:26:10		$ALPHA1:B-#-S-H		bush
00:09:26:10 00:09:26:30
00:09:26:30 00:09:26:34		TO-DRIVE1*
00:09:26:34 00:09:26:42
00:09:26:42 00:09:27:02		ALSO1A		auch
00:09:27:02 00:09:27:11
00:09:27:11 00:09:27:18		LIKE1A*		wie
00:09:27:18 00:09:27:32
00:09:27:32 00:09:27:48		DONE1A		fertig
00:09:27:48 00:09:28:12
00:09:28:12 00:09:28:19		WHITE2B*		weiß
00:09:28:19 00:09:28:33		WHITE1A		weiß
00:09:28:33 00:09:28:38
00:09:28:38 00:09:29:01		HOUSE1B		haus
00:09:29:01 00:09:29:16
00:09:29:16 00:09:29:27		TO-MOVE1*		[MG]
00:09:29:27 00:09:29:40	Then he moved to his country home to retire.
00:09:29:40 00:09:29:49		THEN6		dann
00:09:29:49 00:09:31:04
00:09:31:04 00:09:31:12		COUNTRY3A*		land
00:09:31:12 00:09:31:29
00:09:31:29 00:09:31:41		HOUSE1B		haus
00:09:31:41 00:09:32:09
00:09:32:09 00:09:32:21		RIGHT-OR-AGREED1^*		[MG]
00:09:32:21 00:09:32:31
00:09:32:31 00:09:32:39		$PROD*		[MG]
00:09:32:39 00:09:32:45
00:09:32:45 00:09:33:00	It’s typical to do that for retirement.
00:09:33:00 00:09:33:05		TYPICAL1*		typisch
00:09:33:05 00:09:33:15
00:09:33:15 00:09:33:28		PENSION5		rente
00:09:33:28 00:09:33:40
00:09:33:40 00:09:33:42		TO-BELONG1
00:09:33:42 00:09:33:47
00:09:33:47 00:09:34:04	Like moving from the city to the countryside.
00:09:34:04 00:09:34:06		$INDEX1*		wie
00:09:34:06 00:09:34:24
00:09:34:24 00:09:34:46		$GEST-OFF1^
00:09:34:46 00:09:35:04		WHAT1A*
00:09:35:04 00:09:35:11
00:09:35:11 00:09:35:16		REALLY2*
00:09:35:16 00:09:35:36
00:09:35:36 00:09:35:46		OFF-OR-TO-REMOVE-STH1C		weg
00:09:35:46 00:09:36:07
00:09:36:07 00:09:36:15		CITY2*		stadt
00:09:36:15 00:09:36:28
00:09:36:28 00:09:36:39		GONE-VANISHED3*		weg
00:09:36:39 00:09:37:03
00:09:37:03 00:09:37:09		COUNTRY3A*		land
00:09:37:09 00:09:37:22
00:09:37:22 00:09:38:01		EMPTY7*		[MG]
00:09:38:01 00:09:38:15
00:09:38:15 00:09:38:21	There, one can retire.
00:09:38:21 00:09:38:24					Possibly/
00:09:38:24 00:09:38:36		$PROD*		[MG]
00:09:38:36 00:09:38:40		$PROD*		[MG]		POSSIBLE1*		m{öglich}
00:09:38:40 00:09:38:49
00:09:38:49 00:09:39:03	That’s how one can describe it.
00:09:39:03 00:09:39:10		LIKE1A*		wie
00:09:39:10 00:09:39:18
00:09:39:18 00:09:39:22
00:09:39:22 00:09:39:32		SHAPE1A		form
00:09:39:32 00:09:39:37		SHAPE1A		form	It’s possible they move to the country because the need the peace and quiet.	POSSIBLE1*		möglich
00:09:39:37 00:09:39:46						POSSIBLE1*		möglich
00:09:39:46 00:09:40:03
00:09:40:03 00:09:40:08		$GEST-NM-NOD-HEAD1^				BACK1A*		zurück
00:09:40:08 00:09:40:11
00:09:40:11 00:09:40:17						REASON4B*		grund
00:09:40:17 00:09:40:26
00:09:40:26 00:09:40:33						TO-NEED1*		brauch
00:09:40:33 00:09:40:44
00:09:40:44 00:09:41:05						SILENCE1*		ruhe
00:09:41:05 00:09:41:16
00:09:41:16 00:09:41:21					With older age, they have enough of the bustle of the city and find calm in the country.
00:09:41:21 00:09:41:33						CITY2*		stadt
00:09:41:33 00:09:41:42
00:09:41:42 00:09:41:49						TO-SWARM1
00:09:41:49 00:09:42:10
00:09:42:10 00:09:42:21						OLD5A		alt
00:09:42:21 00:09:42:30
00:09:42:30 00:09:42:40						TO-BE-FED-UP1
00:09:42:40 00:09:43:08
00:09:43:08 00:09:43:19						SILENCE1		ruhe
00:09:43:19 00:09:43:23
00:09:43:23 00:09:43:34						COUNTRY2*		land
00:09:43:34 00:09:43:38					It’s possible that people move back because of that.
00:09:43:38 00:09:43:43						POSSIBLE1		möglich
00:09:43:43 00:09:44:03
00:09:44:03 00:09:44:11						BACK1A*		zurück
00:09:44:11 00:09:44:29
00:09:44:29 00:09:45:01						$GEST-NM-TO-SHRUG1^		möglich
00:09:45:01 00:09:45:30									Says that one can move to the country after suffering burnout.
00:09:45:30 00:09:50:13
00:09:50:13 00:09:55:11
00:09:55:11 00:09:55:29					Or one just stays there nevertheless.
00:09:55:29 00:09:55:42						OR1*		oder
00:09:55:42 00:09:56:00
00:09:56:00 00:09:56:06						HOWEVER1A*		doch
00:09:56:06 00:09:56:16
00:09:56:16 00:09:56:26						TO-STAY2*		[MG]
00:09:56:26 00:09:56:34
00:09:56:34 00:09:56:44					Just stays.
00:09:56:44 00:09:57:02						TO-LET2A^*
00:09:57:02 00:09:57:06
00:09:57:06 00:09:57:20					Maybe it’s more interesting there.
00:09:57:20 00:09:57:26						GOOD1
00:09:57:26 00:09:57:35
00:09:57:35 00:09:57:44						$GEST-TO-PONDER1^*
00:09:57:44 00:09:58:02
00:09:58:02 00:09:58:14						INTEREST1A*
00:09:58:14 00:09:58:27
00:09:58:27 00:09:58:29					If one is used to the city, one stays there.
00:09:58:29 00:09:58:38						$GEST-OFF1^*		warum
00:09:58:38 00:09:58:45
00:09:58:45 00:09:58:47						CITY2		stadt
00:09:58:47 00:09:59:03
00:09:59:03 00:09:59:23						HABIT1		gewöhnt
00:09:59:23 00:09:59:35
00:09:59:35 00:09:59:46						TO-STAY2*		bleibt
00:09:59:46 00:10:00:01
00:10:00:01 00:10:00:04					One doesn’t want to go back, how boring.
00:10:00:04 00:10:00:16						BACK1A*		zurück [MG]
00:10:00:16 00:10:00:26
00:10:00:26 00:10:00:40						BOREDOM1*		langeweile	Asks whether he would return to his parent’s house or sell it.
00:10:00:40 00:10:01:00
00:10:01:00 00:10:01:12						$GEST-OFF1^*
00:10:01:12 00:10:10:16
00:10:10:16 00:10:10:33					I can’t do that.
00:10:10:33 00:10:10:41						CAN1*
00:10:10:41 00:10:11:00
00:10:11:00 00:10:11:11					It depends on whether or not I have a family of my own and if they live nearby.
00:10:11:11 00:10:11:16						DEPENDENT3*		abhängig
00:10:11:16 00:10:11:18
00:10:11:18 00:10:11:23						I2
00:10:11:23 00:10:11:29
00:10:11:29 00:10:11:42						FAMILY1		familie
00:10:11:42 00:10:11:47
00:10:11:47 00:10:12:05						CLOSE-BY1A
00:10:12:05 00:10:12:11
00:10:12:11 00:10:12:17						I2		ich
00:10:12:17 00:10:12:30
00:10:12:30 00:10:13:06						CLOSE-BY1A*		nahe
00:10:13:06 00:10:13:34
00:10:13:34 00:10:13:47					Me?
00:10:13:47 00:10:14:02						I1
00:10:14:02 00:10:14:06
00:10:14:06 00:10:14:12					No.
00:10:14:12 00:10:14:35					No.	NO1B
00:10:14:35 00:10:14:41					I rent.
00:10:14:41 00:10:15:03						RENT2		miete
00:10:15:03 00:10:15:29
00:10:15:29 00:10:19:48
00:10:19:48 00:10:20:22	Good question.
00:10:20:22 00:10:20:24			GOOD1*	gut
00:10:20:24 00:10:20:25
00:10:20:25 00:10:20:32			QUESTION1	frage
00:10:20:32 00:10:20:39
00:10:20:39 00:10:20:41	Good question.
00:10:20:41 00:10:20:42			GOOD1*	gut
00:10:20:42 00:10:21:00
00:10:21:00 00:10:21:04			QUESTION1*	frage
00:10:21:04 00:10:21:14
00:10:21:14 00:10:21:20	My parents have a house, yes.
00:10:21:20 00:10:21:23		$INDEX1		[MG]
00:10:21:23 00:10:21:29
00:10:21:29 00:10:21:38		PARENTS1A		eltern
00:10:21:38 00:10:21:48
00:10:21:48 00:10:22:01		PRESENT-OR-HERE1		da
00:10:22:01 00:10:22:05
00:10:22:05 00:10:22:12		HOUSE1B*		haus
00:10:22:12 00:10:22:35
00:10:22:35 00:10:22:46		YES1A*	$$EXTRA-LING-ACT^
00:10:22:46 00:10:23:05
00:10:23:05 00:10:23:15		$GEST-OFF1^*
00:10:23:15 00:10:23:40	No idea.
00:10:23:40 00:10:24:05		$GEST-NM-TO-SHRUG1^
00:10:24:05 00:10:24:32
00:10:24:32 00:10:24:46	I don’t know.
00:10:24:46 00:10:25:05		DONT-KNOW2		weiß nicht
00:10:25:05 00:10:25:07
00:10:25:07 00:10:25:11		I1
00:10:25:11 00:10:25:17
00:10:25:17 00:10:25:20	For example, my parents themselves were/
00:10:25:20 00:10:25:33		EXAMPLE1*		zum beispiel
00:10:25:33 00:10:25:39
00:10:25:39 00:10:25:44		PARENTS1B		eltern
00:10:25:44 00:10:26:07
00:10:26:07 00:10:26:14		SELF1A*		selbst
00:10:26:14 00:10:26:30
00:10:26:30 00:10:26:41		BEEN1*		gewesen
00:10:26:41 00:10:27:16
00:10:27:16 00:10:28:01	Well, they’re both from the Sauerland, my parents that is.
00:10:28:01 00:10:28:11		TO-COME2*		kommen aus
00:10:28:11 00:10:28:19
00:10:28:19 00:10:28:27		SOUR1*		sauerland
00:10:28:27 00:10:28:33
00:10:28:33 00:10:28:39		COUNTRY3C*
00:10:28:39 00:10:28:45
00:10:28:45 00:10:29:04		$INDEX1
00:10:29:04 00:10:29:14
00:10:29:14 00:10:29:19		PARENTS1B		meine eltern
00:10:29:19 00:10:29:31
00:10:29:31 00:10:30:16		BOTH2A		beide
00:10:30:16 00:10:30:31	They then moved to Unna.
00:10:30:31 00:10:30:47		TO-MOVE1*
00:10:30:47 00:10:31:05
00:10:31:05 00:10:31:19		$NAME		unna
00:10:31:19 00:10:31:44
00:10:31:44 00:10:32:26		$GEST-TO-PONDER1^*
00:10:32:26 00:10:32:38	They both still had their parents’ houses.
00:10:32:38 00:10:32:45		CLEAR1A*		klar
00:10:32:45 00:10:33:05
00:10:33:05 00:10:33:12		PRESENT-OR-HERE1		da
00:10:33:12 00:10:33:29
00:10:33:29 00:10:33:33		$GEST^
00:10:33:33 00:10:33:46
00:10:33:46 00:10:34:06		PARENTS1B		eltern
00:10:34:06 00:10:34:23
00:10:34:23 00:10:34:31		TO-BELONG1
00:10:34:31 00:10:34:42
00:10:34:42 00:10:35:07		$INDEX1*
00:10:35:07 00:10:35:23
00:10:35:23 00:10:35:44		WHAT1B*
00:10:35:44 00:10:36:02
00:10:36:02 00:10:36:10		HOUSE1B		haus
00:10:36:10 00:10:36:20
00:10:36:20 00:10:36:38		PRESENT-OR-HERE1*		da da da
00:10:36:38 00:10:36:41
00:10:36:41 00:10:37:00	My parents went without those houses and sold them.
00:10:37:00 00:10:37:08		MUST1*		muss
00:10:37:08 00:10:37:25
00:10:37:25 00:10:37:34		EVERYTHING2
00:10:37:34 00:10:38:04
00:10:38:04 00:10:38:12		TO-FOREGO-STH1*		verzicht
00:10:38:12 00:10:38:21
00:10:38:21 00:10:39:01		TO-SELL1*		verkauf verkauf
00:10:39:01 00:10:39:16
00:10:39:16 00:10:39:31	They left them.
00:10:39:31 00:10:39:42		TO-THROW1^*		verlassen
00:10:39:42 00:10:40:06
00:10:40:06 00:10:40:18		TO-LEAVE1A*		verlassen
00:10:40:18 00:10:40:27	They left everything behind.
00:10:40:27 00:10:40:35		ENTIRELY-WHOLLY1		voll
00:10:40:35 00:10:40:44
00:10:40:44 00:10:41:06		TO-LEAVE1A*		verlassen
00:10:41:06 00:10:41:13
00:10:41:13 00:10:41:19		YES1A		ja
00:10:41:19 00:10:41:23
00:10:41:23 00:10:41:25		$GEST-OFF1^*
00:10:41:25 00:10:42:04
00:10:42:04 00:10:42:16		TO-LET2A		[MG]
00:10:42:16 00:10:42:31
00:10:42:31 00:10:42:36	Then they had the money at disposal.
00:10:42:36 00:10:42:39		MONEY1C		geld
00:10:42:39 00:10:42:49
00:10:42:49 00:10:43:15		TO-COLLECT1*
00:10:43:15 00:10:43:24
00:10:43:24 00:10:43:30		DONE1A		fertig
00:10:43:30 00:10:43:40
00:10:43:40 00:10:44:04		TO-TAKE-SB-OR-STH-ALONG1*		mitnehmen
00:10:44:04 00:10:44:11
00:10:44:11 00:10:44:17		THATS-ALL1A
00:10:44:17 00:10:44:24
00:10:44:24 00:10:44:31	It’s different and depends on the situation.
00:10:44:31 00:10:44:46		DIFFERENCE1B		unterschied
00:10:44:46 00:10:45:07
00:10:45:07 00:10:45:13		COHERENCE1A		[MG]
00:10:45:13 00:10:45:25
00:10:45:25 00:10:45:38		SITUATION1		situation
00:10:45:38 00:10:45:48
00:10:45:48 00:10:46:00		$GEST-OFF1^
00:10:46:00 00:10:46:11
00:10:46:11 00:10:46:14	It depends on whether one is married and has a family.
00:10:46:14 00:10:46:17		$INDEX1
00:10:46:17 00:10:46:31
00:10:46:31 00:10:46:34		TO-BELONG1
00:10:46:34 00:10:46:40
00:10:46:40 00:10:46:48		TO-MARRY1A		verheiratet
00:10:46:48 00:10:47:29
00:10:47:29 00:10:47:33		FAMILY1*		familie
00:10:47:33 00:10:47:46
00:10:47:46 00:10:48:18		TO-SWARM1
00:10:48:18 00:10:48:25	Maybe the partner comes from elsewhere.
00:10:48:25 00:10:48:33		$INDEX1
00:10:48:33 00:10:48:36
00:10:48:36 00:10:48:41		TO-COME2		kommen
00:10:48:41 00:10:49:01
00:10:49:01 00:10:49:02		$GEST-OFF1^*
00:10:49:02 00:10:49:12
00:10:49:12 00:10:49:18		DIFFERENT1		woanders
00:10:49:18 00:10:49:27
00:10:49:27 00:10:49:35		SOMEWHERE-ELSE2*
00:10:49:35 00:10:50:06	Oh well, one needs to see how one would organize that.
00:10:50:06 00:10:50:11		$GEST-OFF1^*		[MG]
00:10:50:11 00:10:50:23
00:10:50:23 00:10:50:26		TO-LOOK1*		schau
00:10:50:26 00:10:50:30
00:10:50:30 00:10:50:35		HOW-QUESTION1		wie
00:10:50:35 00:10:50:41
00:10:50:41 00:10:51:03		TO-ORGANISE1*
00:10:51:03 00:10:51:07	It depends on the situation.
00:10:51:07 00:10:51:17		CLEAR1A*		klar
00:10:51:17 00:10:51:23
00:10:51:23 00:10:51:31		COHERENCE1A
00:10:51:31 00:10:51:40
00:10:51:40 00:10:51:42		$INDEX1
00:10:51:42 00:10:52:19
00:10:52:19 00:10:52:37	Deaf people are a little different there.
00:10:52:37 00:10:52:49		DEAF1A		[MG]
00:10:52:49 00:10:53:03
00:10:53:03 00:10:53:06		BIT3*		bisschen
00:10:53:06 00:10:53:10
00:10:53:10 00:10:53:21		DIFFERENT1		anders
00:10:53:21 00:10:53:32
00:10:53:32 00:10:53:43	Many of them are more of a special case.
00:10:53:43 00:10:54:00		$MORPH-SPECIAL2		sonderfall
00:10:54:00 00:10:54:04
00:10:54:04 00:10:54:11		TO-FALL1
00:10:54:11 00:10:54:21
00:10:54:21 00:10:54:25		MOST1B		meisten
00:10:54:25 00:10:54:31
00:10:54:31 00:10:54:41		TO-BELONG1
00:10:54:41 00:10:54:43
00:10:54:43 00:10:55:07	A few do it because of society, to fit in, and stay where they are.
00:10:55:07 00:10:55:22		SOME1		paar
00:10:55:22 00:10:55:29
00:10:55:29 00:10:55:41		$INDEX1
00:10:55:41 00:10:56:04
00:10:56:04 00:10:56:10		BECAUSE-OF2B		wegen
00:10:56:10 00:10:56:17
00:10:56:17 00:10:56:24		ALREADY1B*		schon
00:10:56:24 00:10:56:37
00:10:56:37 00:10:56:45		SOCIETY1*		gesellschaft
00:10:56:45 00:10:57:02
00:10:57:02 00:10:57:10		ALL2C
00:10:57:10 00:10:57:20
00:10:57:20 00:10:57:30		TO-NEED1*		brauch
00:10:57:30 00:10:57:43
00:10:57:43 00:10:58:00		TO-ADJUST1		anpass
00:10:58:00 00:10:58:09
00:10:58:09 00:10:58:12		APARTMENT5*		wohnen
00:10:58:12 00:10:58:21
00:10:58:21 00:10:58:32		TO-STAY3		bleiben
00:10:58:32 00:10:58:47
00:10:58:47 00:10:59:06		$GEST-OFF1^
00:10:59:06 00:10:59:18	In that case, it’s not about family.
00:10:59:18 00:10:59:28		NOT3A		nicht
00:10:59:28 00:10:59:44
00:10:59:44 00:11:00:00		BECAUSE-OF2B		wegen
00:11:00:00 00:11:00:07
00:11:00:07 00:11:00:13		FAMILY1*		familie
00:11:00:13 00:11:00:20
00:11:00:20 00:11:00:26		AMONG-EACH-OTHER3*
00:11:00:26 00:11:00:34
00:11:00:34 00:11:00:40	Often, it’s not that important to many.	MOST1B		meistens
00:11:00:40 00:11:01:08
00:11:01:08 00:11:01:14		TO-IGNORE5		[MG]
00:11:01:14 00:11:01:26
00:11:01:26 00:11:01:30		OFTEN1B*		oft
00:11:01:30 00:11:01:43
00:11:01:43 00:11:01:44		$GEST-OFF1^*
00:11:01:44 00:11:03:07
00:11:03:07 00:11:04:15
00:11:04:15 00:11:11:33									Asks whether they like their mayor.
00:11:11:33 00:11:12:03	I know him.
00:11:12:03 00:11:12:15		TO-KNOW-STH-OR-SB1A*		kenn
00:11:12:15 00:11:12:22
00:11:12:22 00:11:12:28		ON-PERSON1*
00:11:12:28 00:11:12:45
00:11:12:45 00:11:16:46
00:11:16:46 00:11:17:15					I’m not interested in that.
00:11:17:15 00:11:17:30					I’m not interested in that.	NO-INTEREST1*
00:11:17:30 00:11:17:36					I don’t often read about politics in the newspaper, either.
00:11:17:36 00:11:17:37						I1
00:11:17:37 00:11:17:47
00:11:17:47 00:11:18:00						POLITICS1*		politik
00:11:18:00 00:11:18:05
00:11:18:05 00:11:18:09						AREA1A*
00:11:18:09 00:11:18:16
00:11:18:16 00:11:18:19						I2
00:11:18:19 00:11:18:41
00:11:18:41 00:11:18:45						NOT3A
00:11:18:45 00:11:18:49
00:11:18:49 00:11:19:01						OFTEN1B*		oft
00:11:19:01 00:11:19:05
00:11:19:05 00:11:19:09						TO-READ1A*		lesen
00:11:19:09 00:11:19:17
00:11:19:17 00:11:19:25						NEWSPAPER1A		zeitung
00:11:19:25 00:11:19:30
00:11:19:30 00:11:19:34						I2
00:11:19:34 00:11:20:31
00:11:20:31 00:11:21:03	I/
00:11:21:03 00:11:21:24		OWN1A^		ich
00:11:21:24 00:11:21:31
00:11:21:31 00:11:21:37	I don’t remember the name of the former mayor, but I remember what he looks like.
00:11:21:37 00:11:21:43		SELF1A
00:11:21:43 00:11:22:01
00:11:22:01 00:11:22:13		BACK-THEN1*		damals
00:11:22:13 00:11:22:22
00:11:22:22 00:11:22:29		FIRST-OF-ALL1A		erste
00:11:22:29 00:11:22:33
00:11:22:33 00:11:22:41		CHAIRPERSON2^*		bürgermeister
00:11:22:41 00:11:23:00
00:11:23:00 00:11:23:06		$INDEX1
00:11:23:06 00:11:23:22
00:11:23:22 00:11:23:28		NAME1A*		name
00:11:23:28 00:11:23:31
00:11:23:31 00:11:23:36		NAME7
00:11:23:36 00:11:23:45
00:11:23:45 00:11:24:03		TO-FORGET1		[MG]
00:11:24:03 00:11:24:05
00:11:24:05 00:11:24:09		I1
00:11:24:09 00:11:24:14
00:11:24:14 00:11:24:19		BUT1*		aber
00:11:24:19 00:11:24:22
00:11:24:22 00:11:24:28		ON-PERSON1
00:11:24:28 00:11:24:38
00:11:24:38 00:11:24:45		TO-KNOW-STH-OR-SB1A*		kennen
00:11:24:45 00:11:25:00
00:11:25:00 00:11:25:15		FACE1		gesicht
00:11:25:15 00:11:25:20
00:11:25:20 00:11:25:26	I liked him, because he was in the SPD [Social Democratic Party of Germany], that was good.	$INDEX1
00:11:25:26 00:11:25:36
00:11:25:36 00:11:25:41		GOOD1		gut
00:11:25:41 00:11:25:48
00:11:25:48 00:11:26:11		TO-PLEASE2		gefallen
00:11:26:11 00:11:26:14
00:11:26:14 00:11:26:21		$ORAL^		warum
00:11:26:21 00:11:26:22
00:11:26:22 00:11:26:39		$ALPHA1:S-P-D		s-p-d
00:11:26:39 00:11:26:43
00:11:26:43 00:11:27:06		TO-BELONG1
00:11:27:06 00:11:27:23
00:11:27:23 00:11:27:32		GOOD1*		[MG]
00:11:27:32 00:11:27:35
00:11:27:35 00:11:27:49	It went well, he governed well and was engaged in everything.
00:11:27:49 00:11:28:08		IMPACT2*		wirkt
00:11:28:08 00:11:28:16
00:11:28:16 00:11:28:19		GOOD1*		gut
00:11:28:19 00:11:28:26
00:11:28:26 00:11:28:38		GOVERNMENT1*		[MG]
00:11:28:38 00:11:28:46
00:11:28:46 00:11:29:15		ACTIVE2*
00:11:29:15 00:11:29:23	Just recently there was an election, I don’t know, I think now it’s his second term already.
00:11:29:23 00:11:29:26		SUDDENLY4*		[MG]
00:11:29:26 00:11:29:32
00:11:29:32 00:11:29:39		WAS1		war
00:11:29:39 00:11:29:47
00:11:29:47 00:11:30:21		ELECTION1A*		wahl
00:11:30:21 00:11:30:24
00:11:30:24 00:11:30:44		WEIRD-STRANGE1*
00:11:30:44 00:11:31:03
00:11:31:03 00:11:31:07		TO-BELIEVE2B		glaube
00:11:31:07 00:11:31:11
00:11:31:11 00:11:31:17		ALREADY1A*		schon
00:11:31:17 00:11:31:27
00:11:31:27 00:11:31:31		$INDEX1		[MG]
00:11:31:31 00:11:31:36
00:11:31:36 00:11:31:45		$NUM-ORDINAL1:2		zweite
00:11:31:45 00:11:32:02
00:11:32:02 00:11:32:09		AGENCY1B		amtszeit
00:11:32:09 00:11:32:12
00:11:32:12 00:11:32:26		TIME5B*
00:11:32:26 00:11:32:34
00:11:32:34 00:11:32:39		HIS-HER1*
00:11:32:39 00:11:32:44
00:11:32:44 00:11:33:04	His name is K/ Werner Kolten. [Correct name is Werner Kolter, mayor of Unna and member of the Social Democratic Party of Germany.]
00:11:33:04 00:11:33:09		$INDEX1
00:11:33:09 00:11:33:23
00:11:33:23 00:11:33:30		TO-BE-CALLED4*		heißt
00:11:33:30 00:11:33:39
00:11:33:39 00:11:34:05		$NAME		kol{ter}
00:11:34:05 00:11:34:14
00:11:34:14 00:11:35:14		$NAME		werner kolten
00:11:35:14 00:11:35:37
00:11:35:37 00:11:36:33		$NAME
00:11:36:33 00:11:36:41
00:11:36:41 00:11:37:01		PERSON1
00:11:37:01 00:11:37:03
00:11:37:03 00:11:37:06		$INDEX1
00:11:37:06 00:11:37:11
00:11:37:11 00:11:37:16	I know that he is more relaxed.
00:11:37:16 00:11:37:25		TO-KNOW-STH2A*		weiß
00:11:37:25 00:11:37:41
00:11:37:41 00:11:38:13		$GEST^		[MG]
00:11:38:13 00:11:38:29	He seems nice.
00:11:38:29 00:11:38:39		NICE1		nett
00:11:38:39 00:11:39:00
00:11:39:00 00:11:39:04		IMPRESSION1*		[MG]
00:11:39:04 00:11:39:13
00:11:39:13 00:11:39:21		RADIATION2*
00:11:39:21 00:11:39:25
00:11:39:25 00:11:39:29	But I don’t live in Unna, so I can’t really say what the government there looks like and how it develops.
00:11:39:29 00:11:39:36		YES2*		aber
00:11:39:36 00:11:39:46
00:11:39:46 00:11:40:01		REALLY1
00:11:40:01 00:11:40:12
00:11:40:12 00:11:40:20		APARTMENT5		wohnen
00:11:40:20 00:11:40:25
00:11:40:25 00:11:40:29		NOT3B
00:11:40:29 00:11:40:35
00:11:40:35 00:11:40:48		$NAME		unna
00:11:40:48 00:11:41:05
00:11:41:05 00:11:41:11		EXAMPLE1^*		kann
00:11:41:11 00:11:41:21
00:11:41:21 00:11:41:24		MUCH1C		viel
00:11:41:24 00:11:41:29
00:11:41:29 00:11:41:36		TO-SAY1		sag
00:11:41:36 00:11:41:41
00:11:41:41 00:11:41:43		WHAT1A*		was
00:11:41:43 00:11:42:01
00:11:42:01 00:11:42:07		TODAY3		heute
00:11:42:07 00:11:42:22
00:11:42:22 00:11:42:36		POLITICS1		politik
00:11:42:36 00:11:42:49
00:11:42:49 00:11:43:04		GOVERNMENT1
00:11:43:04 00:11:43:10
00:11:43:10 00:11:43:16		HOW-QUESTION1		wie
00:11:43:16 00:11:43:24
00:11:43:24 00:11:43:28		TO-LOOK1*		[MG]
00:11:43:28 00:11:43:33
00:11:43:33 00:11:43:40		IT-WORKS1*
00:11:43:40 00:11:43:43
00:11:43:43 00:11:43:46	But from what I hear/
00:11:43:46 00:11:44:03		$GEST-OFF1^		aber
00:11:44:03 00:11:44:26
00:11:44:26 00:11:44:29		TO-HEAR1*
00:11:44:29 00:11:45:02
00:11:45:02 00:11:45:17	Unna is a small town.
00:11:45:17 00:11:45:23		$NAME		unna
00:11:45:23 00:11:45:32
00:11:45:32 00:11:45:38		SMALL6		klein
00:11:45:38 00:11:46:01
00:11:46:01 00:11:46:07		LOCATION3*		[MG]
00:11:46:07 00:11:46:14
00:11:46:14 00:11:46:20	They complain about the little things.
00:11:46:20 00:11:46:37		LIKE1A*		wie
00:11:46:37 00:11:47:03
00:11:47:03 00:11:47:41		TO-WHINE1*		[MG]
00:11:47:41 00:11:47:46
00:11:47:46 00:11:48:02		TO-LEARN-STH1B
00:11:48:02 00:11:48:06
00:11:48:06 00:11:48:12	When I was in Essen, I never heard anything about Unna.
00:11:48:12 00:11:48:18		ESSEN-CITY1*		essen
00:11:48:18 00:11:48:30
00:11:48:30 00:11:49:00		TO-LEARN-STH1B*		[MG]
00:11:49:00 00:11:49:09
00:11:49:09 00:11:49:21		NONE7B*		[MG]
00:11:49:21 00:11:49:28
00:11:49:28 00:11:49:33		$GEST-OFF1^
00:11:49:33 00:11:50:00
00:11:50:00 00:11:55:40
00:11:55:40 00:11:56:04	City, country, city, country, city, country.
00:11:56:04 00:11:56:10		CITY2		stadt
00:11:56:10 00:11:56:20
00:11:56:20 00:11:56:27		COUNTRY3A*		land
00:11:56:27 00:11:56:43
00:11:56:43 00:11:56:48		CITY2		stadt
00:11:56:48 00:11:57:09
00:11:57:09 00:11:57:15		COUNTRY3A*		land
00:11:57:15 00:11:57:23
00:11:57:23 00:11:57:28		CITY2		stadt
00:11:57:28 00:11:57:34
00:11:57:34 00:11:57:40		COUNTRY3A*		land
00:11:57:40 00:11:57:44
00:11:57:44 00:11:58:01
00:11:58:01 00:11:58:05	Hey you, city and country doesn’t only refer to where we live, but also, more generally, to everything that’s a part of that.
00:11:58:05 00:11:58:19		$GEST-ATTENTION1^
00:11:58:19 00:11:58:27
00:11:58:27 00:11:58:33		CITY2		stadt
00:11:58:33 00:11:58:42
00:11:58:42 00:11:58:49		COUNTRY3A*		land
00:11:58:49 00:11:59:05
00:11:59:05 00:11:59:09		MEANING1*		bedeutet
00:11:59:09 00:11:59:18
00:11:59:18 00:11:59:26		ONLY2B		nicht nur
00:11:59:26 00:11:59:34
00:11:59:34 00:11:59:38		I1
00:11:59:38 00:11:59:49
00:11:59:49 00:12:00:08		TO-BELONG1^*		brauchen
00:12:00:08 00:12:00:17
00:12:00:17 00:12:00:19		TO-NEED3*
00:12:00:19 00:12:00:31
00:12:00:31 00:12:00:37		AREA1B*
00:12:00:37 00:12:00:44
00:12:00:44 00:12:00:48		OTHERWISE1^		sondern
00:12:00:48 00:12:01:09
00:12:01:09 00:12:01:24		GENERALLY1B		allgemein
00:12:01:24 00:12:01:39
00:12:01:39 00:12:01:43	All of Germany isn’t that special.
00:12:01:43 00:12:02:36		ALL1B*		[MG]
00:12:02:36 00:12:02:49
00:12:02:49 00:12:03:05		LIKE-HOW1A*		wie
00:12:03:05 00:12:03:18
00:12:03:18 00:12:03:20		GERMAN1*		deutschland
00:12:03:20 00:12:03:33
00:12:03:33 00:12:04:06		WEAK1		[MG]
00:12:04:06 00:12:04:09	Right, sure.
00:12:04:09 00:12:04:20		$ORAL^		stimmt
00:12:04:20 00:12:04:24
00:12:04:24 00:12:04:35		$ORAL^		klar
00:12:04:35 00:12:04:39
00:12:04:39 00:12:06:40
00:12:06:40 00:12:06:43	But, hello.
00:12:06:43 00:12:07:10		$ORAL^		aber
00:12:07:10 00:12:07:12
00:12:07:12 00:12:07:26		$GEST-ATTENTION1^
00:12:07:26 00:12:07:40	We just talked about rural exodus and everything relating to that.	$ORAL^		aber
00:12:07:40 00:12:08:08		OVERALL1A		gesamt
00:12:08:08 00:12:08:17
00:12:08:17 00:12:08:21		A-MOMENT-AGO1A*
00:12:08:21 00:12:08:36
00:12:08:36 00:12:08:41		TO-TELL3A*
00:12:08:41 00:12:08:46
00:12:08:46 00:12:09:03		OVER-OR-ABOUT1
00:12:09:03 00:12:09:12
00:12:09:12 00:12:09:19		COUNTRY3A*		landflucht
00:12:09:19 00:12:09:27
00:12:09:27 00:12:09:40		FLIGHT1B
00:12:09:40 00:12:10:08
00:12:10:08 00:12:10:35		AND2A*		und und und
00:12:10:35 00:12:10:42
00:12:10:42 00:12:11:11	But in general, birth rates in Germany are already sinking anyway.	$INDEX1		aber
00:12:11:11 00:12:11:18
00:12:11:18 00:12:11:31		OVERALL1A		insgesamt
00:12:11:31 00:12:11:42
00:12:11:42 00:12:11:46		GERMAN1*		deutschland
00:12:11:46 00:12:12:06
00:12:12:06 00:12:12:22		ANYWAY1*		sowieso
00:12:12:22 00:12:12:29
00:12:12:29 00:12:12:36		ALREADY1B		schon
00:12:12:36 00:12:12:46
00:12:12:46 00:12:13:08		BIRTH1B		geburtszahlen
00:12:13:08 00:12:13:19
00:12:13:19 00:12:13:27		TO-CALCULATE1^
00:12:13:27 00:12:13:36
00:12:13:36 00:12:14:09		LITTLE-BIT7A		[MG]
00:12:14:09 00:12:14:16
00:12:14:16 00:12:14:23	That, too.	ALSO1A		auch
00:12:14:23 00:12:14:29
00:12:14:29 00:12:14:48		$GEST-OFF1^*
00:12:14:48 00:12:15:12					I just recently saw that, this typical shape.
00:12:15:12 00:12:15:18
00:12:15:18 00:12:15:22						TO-SEE1*
00:12:15:22 00:12:15:29
00:12:15:29 00:12:15:31						A-MOMENT-AGO1A		eben
00:12:15:31 00:12:15:36
00:12:15:36 00:12:15:40						SYMBOL2A*		symbol
00:12:15:40 00:12:15:47
00:12:15:47 00:12:16:00						$INDEX1
00:12:16:00 00:12:16:05
00:12:16:05 00:12:16:20	The hourglass shape.
00:12:16:20 00:12:16:21						$PROD*
00:12:16:21 00:12:16:39		$PROD*
00:12:16:39 00:12:16:41
00:12:16:41 00:12:16:45	Demographic change.
00:12:16:45 00:12:17:12		$ALPHA1:D		demografisch
00:12:17:12 00:12:17:20		$ALPHA1:D		demografisch	Yes, right.	MUST1A^
00:12:17:20 00:12:17:33
00:12:17:33 00:12:18:27		TO-CHANGE2A^		wandel
00:12:18:27 00:12:18:33
00:12:18:33 00:12:18:39	How do you sign “demographic”?				Usually, it’s a pyramid, triangular.
00:12:18:39 00:12:18:43		$ALPHA1:D
00:12:18:43 00:12:18:48
00:12:18:48 00:12:19:03						USUALLY1*		normalerweise
00:12:19:03 00:12:19:10		$GEST^				USUALLY1*		normalerweise
00:12:19:10 00:12:19:32
00:12:19:32 00:12:19:34		$GEST^
00:12:19:34 00:12:19:41		$GEST^				SPIKY-AT-THE-TOP2		spitz
00:12:19:41 00:12:19:42
00:12:19:42 00:12:19:49		TO-SIGN1A*		plauder
00:12:19:49 00:12:20:03
00:12:20:03 00:12:20:10
00:12:20:10 00:12:20:31		$ALPHA1:D-E-M-O-G-R-A-F		demografisch
00:12:20:31 00:12:21:06		$ALPHA1:D-E-M-O-G-R-A-F
00:12:21:06 00:12:21:14
00:12:21:14 00:12:21:33		TO-CHANGE2A^
00:12:21:33 00:12:21:41
00:12:21:41 00:12:22:01	Demographic change, yes.
00:12:22:01 00:12:23:32		$ALPHA1:D-E-M-O-G-R-A-F-I-S-C-H-E-R		demografischer
00:12:23:32 00:12:23:49
00:12:23:49 00:12:24:16		TO-CHANGE10^*		wandel
00:12:24:16 00:12:25:15
00:12:25:15 00:12:25:46	No idea.
00:12:25:46 00:12:26:10		$GEST-NM-TO-SHRUG1^		[MG]
00:12:26:10 00:12:26:12
00:12:26:12 00:12:26:26	It used to look like a pyramid.
00:12:26:26 00:12:26:28		TYPICAL1*		typisch
00:12:26:28 00:12:26:35
00:12:26:35 00:12:26:40		PAST-OR-BACK-THEN1*		früher
00:12:26:40 00:12:27:02
00:12:27:02 00:12:27:08		USUALLY1		normalerweise
00:12:27:08 00:12:28:09
00:12:28:09 00:12:28:43		$PROD*		so
00:12:28:43 00:12:28:49
00:12:28:49 00:12:29:01	Because the younger generation got children and the older generation died.
00:12:29:01 00:12:29:08		$INDEX1*		warum
00:12:29:08 00:12:29:19
00:12:29:19 00:12:29:22		OLD8B*		alt
00:12:29:22 00:12:29:24
00:12:29:24 00:12:29:28		$INDEX1
00:12:29:28 00:12:29:36
00:12:29:36 00:12:29:44		BIRTH1B*		[MG]
00:12:29:44 00:12:30:09
00:12:30:09 00:12:30:10		$PROD*
00:12:30:10 00:12:30:15
00:12:30:15 00:12:30:31		$INDEX1*		dann
00:12:30:31 00:12:30:41
00:12:30:41 00:12:30:48		DEATH2*		[MG]
00:12:30:48 00:12:31:09
00:12:31:09 00:12:31:16		HALF3*
00:12:31:16 00:12:31:19
00:12:31:19 00:12:31:41	Now it’s turning around.
00:12:31:41 00:12:31:47		$PROD*
00:12:31:47 00:12:32:18					The top, usually it gets wider towards the bottom.
00:12:32:18 00:12:32:19						SPIKY-AT-THE-TOP2
00:12:32:19 00:12:32:48		$GEST-NM-NOD-HEAD1^				SPIKY-AT-THE-TOP2
00:12:32:48 00:12:33:03		$GEST-NM-NOD-HEAD1^
00:12:33:03 00:12:33:05						USUALLY1*		normalerweise
00:12:33:05 00:12:33:12
00:12:33:12 00:12:33:20
00:12:33:20 00:12:33:32						SPIKY-AT-THE-TOP2A^*
00:12:33:32 00:12:34:04
00:12:34:04 00:12:34:18
00:12:34:18 00:12:34:20	More towards the bottom.
00:12:34:20 00:12:34:29	More towards the bottom.	PYRAMID2D
00:12:34:29 00:12:34:36	Now it’s turning around.
00:12:34:36 00:12:34:39		NOW3*		jetzt
00:12:34:39 00:12:34:45
00:12:34:45 00:12:35:07		TO-CHANGE2D		um
00:12:35:07 00:12:35:40
00:12:35:40 00:12:36:13					There’s a problem there.
00:12:36:13 00:12:36:16						$INDEX1
00:12:36:16 00:12:36:20
00:12:36:20 00:12:36:28						PROBLEM1*		problem
00:12:36:28 00:12:36:31
00:12:36:31 00:12:36:41					So, if the top is at the top, that’s good.
00:12:36:41 00:12:36:47						IF-OR-WHEN1A		wenn
00:12:36:47 00:12:37:10
00:12:37:10 00:12:37:19						SPIKY-AT-THE-TOP2A^
00:12:37:19 00:12:37:30
00:12:37:30 00:12:37:34						GOOD1		gut
00:12:37:34 00:12:37:39
00:12:37:39 00:12:37:46					The pension gets paid upwards by the working people.
00:12:37:46 00:12:38:12						PENSION5		rente
00:12:38:12 00:12:38:26
00:12:38:26 00:12:38:29						MONEY1C
00:12:38:29 00:12:38:32	The money of the future is already a problem today.					MONEY1C
00:12:38:32 00:12:38:36
00:12:38:36 00:12:38:48						TO-WORK2		arbeit
00:12:38:48 00:12:39:07		MONEY1C
00:12:39:07 00:12:39:22						FUNDING1*
00:12:39:22 00:12:39:26		FUTURE2				FUNDING1*
00:12:39:26 00:12:39:34
00:12:39:34 00:12:39:36						TO-CHANGE6
00:12:39:36 00:12:39:43		TODAY3		heute
00:12:39:43 00:12:40:03
00:12:40:03 00:12:40:05		TO-STAY3		bleib
00:12:40:05 00:12:40:09					But if it’s the other way around, how are they supposed to pay the pensions?
00:12:40:09 00:12:40:10						NOW3*
00:12:40:10 00:12:40:16						NOW3*
00:12:40:16 00:12:40:21
00:12:40:21 00:12:40:35		PROBLEM2B		problem
00:12:40:35 00:12:41:05						SPIKY-AT-THE-BOTTOM1^		um
00:12:41:05 00:12:41:08
00:12:41:08 00:12:41:16
00:12:41:16 00:12:41:26						TO-PAY7*
00:12:41:26 00:12:41:29
00:12:41:29 00:12:41:34						HOW-QUESTION1*		wie
00:12:41:34 00:12:41:42
00:12:41:42 00:12:42:01						PENSION5		rente
00:12:42:01 00:12:42:05	The money needs to be distributed between them.					PENSION5		rente
00:12:42:05 00:12:42:11		ALL2A
00:12:42:11 00:12:42:12						MONEY1C
00:12:42:12 00:12:42:15					That’s a problem.
00:12:42:15 00:12:42:24						PROBLEM1		problem
00:12:42:24 00:12:42:27						PROBLEM1		problem
00:12:42:27 00:12:42:35
00:12:42:35 00:12:42:37		PROBLEM1*			That’s impossible.
00:12:42:37 00:12:42:40
00:12:42:40 00:12:42:44						CAN1*		[MG]
00:12:42:44 00:12:43:00
00:12:43:00 00:12:43:03						$GEST-OFF1^*
00:12:43:03 00:12:43:09		TO-DIVIDE5*		[MG]
00:12:43:09 00:12:43:30		TO-DIVIDE5*		[MG]		$GEST-NM-NOD-HEAD1^
00:12:43:30 00:12:43:39
00:12:43:39 00:12:43:45	Yes.
00:12:43:45 00:12:44:02		$GEST-NM-NOD-HEAD1^		ja
00:12:44:02 00:12:44:03
00:12:44:03 00:12:44:16	Exactly.
00:12:44:16 00:12:44:26		YOU1^*		genau
00:12:44:26 00:12:44:31
00:12:44:31 00:12:44:44	They’re still debating that today.	TO-ARGUE3*		streiten
00:12:44:44 00:12:45:02
00:12:45:02 00:12:45:10		UNTIL-NOW1		bis jetzt
00:12:45:10 00:12:45:31

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