DOI: /10.25592/dgs.corpus-3.0-text-1292458

dgskorpus_mst_14: 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

Translation Lexeme/Sign Mouth Translation Lexeme/Sign Mouth Moderator
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Right, I actually grew up in the city.
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RIGHT-OR-AGREED1A [MG]
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ACTUALLY1A eigentlich
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TO-GROW-UP1B* aufgewachsen
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CITY2 stadt
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I1*
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Normally, yes.
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USUALLY1* normalerweise
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YES1A* ja
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But sometimes I talk to people who come from a real big city, like Leipzig, for example.
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SUDDENLY4* [MG]
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IF-OR-WHEN1A wenn
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TODAY3* heute
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TO-SIGN1C
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WITH1A mit
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DIFFERENT2* anderen
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PEOPLE2*
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$INDEX1*
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SELF2* se{lbst}
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REALLY2
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TO-COME2 kommt
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$CUED-SPEECH* von
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BIG3C* großstadt
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CITY2*
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EXAMPLE1* zum beispiel
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LEIPZIG1A* leipzig
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Just recently I met a person from Leipzig.
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RECENTLY2* [MG]
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TO-GET-TO-KNOW1* kennenlern
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ON-PERSON1
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TO-SIGN1C
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$INDEX1
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LEIPZIG1A* leipzig
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SELF2*
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$GEST-OFF^
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SELF2* selbst
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I told them I was from #Name1.
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YES1A* ja
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$INDEX1
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$NAME #name1
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They laughed. $NAME er
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TO-LAUGH2 [MG]
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$INDEX1
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“You live in the countryside.”
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TO-SAY1 sagt
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YOU1 du
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APARTMENT5* wohn{st}
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COUNTRY3A* land
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“No! It really, officially, is a small town.
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I2*
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NO2A nein
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SMALL11 kleinstadt
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CITY2
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REALLY2 [MG]
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OFFICIAL3* offiziell
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Just look at it.”
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TO-LOOK1*
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CITY2* stadt
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SELF2*
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TO-LOOK2* schau
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“Oh, there’s nothing there!
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$INDEX1
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NOTHING1A nichts
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$INDEX1
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It’s like in the countryside, just areas of land everywhere.”
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COUNTRY3B* land
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WHAT-DOES-IT-LOOK-LIKE1 wie sieht aus
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PURE-OR-SHEER1*
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COUNTRY3A* land land
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$INDEX1* [MG]
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I just thought to myself, ”Okay.”
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I1
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OKAY1A okay
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I’m aware there are differences.
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DISTINCT1* [MG]
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TO-KNOW-OR-KNOWLEDGE2B* weiß
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DISTINCT1* verschied
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Interesting, the way they and others view it. INTEREST1B interessant
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WHAT1A was
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HIS-HER1*
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TO-KNOW-OR-KNOWLEDGE2A weiß
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PEOPLE2
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LIKE-THIS1A* so so
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But to me, I definitely grew up in a city. I1* aber ich
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REALLY2
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CITY2* stadt
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TO-GROW-UP1B [MG]
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I1*
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$GEST-OFF^*
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That’s how I feel, because I had little to do with the countryside.
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FOR1* für
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$GEST-OFF^*
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WHERE-FROM1^* warum
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COUNTRY3A* land
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DEPENDENT3 [MG]
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LITTLE-BIT4* wenig
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Yes, same with me.
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I1*
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$INDEX2 stimmt
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EQUAL8*
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I1*
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I think/
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TO-BELIEVE2A* glaube
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Where did you grow up?
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I grew up in the city.
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TO-GROW-UP1A* auf
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I2*
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CITY2* stadt
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$GEST^
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I don’t know how farmers work. I1*
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NONE1* kei{n}
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FARMER1* bauer
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TO-WORK1* arbeit
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ZERO1A* null
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$GEST-OFF^*
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You just grow up in the city.
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CITY2* stadt
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TO-GROW-UP1A* [MG]
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$GEST-OFF^*
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It’s the same for me.
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TO-BELIEVE2A* selbe
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SAME3*
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$GEST-OFF^* stimmt
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Asks whether he could imagine living in the countryside, where there are only few other houses.
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Yes, that’s extreme, I couldn’t do that.
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$ORAL^ okay ja
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TO-EXAGGERATE1* übertrieb
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$INDEX1*
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POSSIBLE1*
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I definitely need some kind of connection. I2*
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TO-NEED1 brauche
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LINK1* verbindung
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$INDEX1*
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That’s bad there.
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BAD-OR-STALE2
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$GEST-OFF^
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Deaf people need contact, of course.
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DEAF1A
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$INDEX1
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CONTACT2A*
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CLEAR1A* klar
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I can deal with the quiet.
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OPINION1A meine
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$GEST^
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SILENCE1 ruhe
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AREA1A*
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CAN1 kann
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$GEST-OFF^*
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But fully living in the countryside, I can’t do that.
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BUT1* aber
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COUNTRY3A* land
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POSSIBLE1* [MG]
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I’d prefer the city, where everything is nearby and one can get everywhere fast. $INDEX1
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CITY2* stadt
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BETTER1* besser
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SHORT3A* [MG]
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$INDEX1
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That’s not the case in the countryside.
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NOT3A nicht
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COUNTRY3A* land
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Well, it depends, for example:
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NOT3A
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RIGHT-OR-AGREED1^* [MG]
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$GEST^
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DEPENDENT3* abhängig
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EXAMPLE1* zum beispiel
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Right now, #Name1 is small, but that’s okay.
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NOW3*
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$NAME #name1
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$NAME [MG]
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OKAY1A okay
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It has a good dimension, it’s quite pleasant.
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TO-MEASURE1A maß
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LIKE7A* wie
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PLEASANT2 angenehm
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AREA1A*
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Right, it’s not as overcrowded as Essen for example.
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RIGHT-OR-AGREED2* stimmt
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NOT3A nicht
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CLOGGED1* [MG]
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$INDEX1*
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TO-EAT-OR-FOOD2* essen
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It does take a different form there.
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ALREADY1A schon
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DIFFERENT1 anders
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SHAPE1A form
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I lived in Essen myself until now and it didn’t bother me that there was so much going on.
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TO-EAT-OR-FOOD2* essen
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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
CARELESS3A luft
00:01:11:03
00:01:11:18
00:01:11:18
00:01:11:27
LIKE7A 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
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
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
LIKE7B* 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
00:01:22:28
00:01:22:28
00:01:22:37
OVERALL1C* gesamt
00:01:22:37
00:01:22:48
Eight years. YEAR1A* acht jahre
00:01:22:48
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
MUCH-OR-MANY1A
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-SIGN1G*
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
MUCH-OR-MANY1A 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
MUCH-OR-MANY1A 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
SPECIAL-OR-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
MUCH-OR-MANY1A 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
FRANCE2 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-BIT4* wenig
00:01:44:48
00:01:45:12
RARELY2
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*
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
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*
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
MUCH-OR-MANY1A 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
MUCH-OR-MANY5 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
NORTH1A* 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
00:02:13:17
00:02:13:39
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
AFTER3B 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-OFF^*
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
$GEST-OFF^*
00:02:20:40
00:02:20:44
Something that’s also interesting, maybe you know about this:
00:02:20:44
00:02:21:00
YES1A*
00:02:21:00
00:02:21:09
They wouldn’t be separate cities, it would be together.
00:02:21:09
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$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
00:02:21:37
00:02:21:46
TOGETHER7 zusammen
00:02:21:46
00:02:22:03
ALSO1A auch
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00:02:22:06
00:02:22:15
00:02:22:15
00:02:22:23
TO-KNOW-OR-KNOWLEDGE2A gewusst
00:02:22:23
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00:02:22:35
$INDEX1
00:02:22:35
00:02:22:42
00:02:22:42
00:02:23:29
Paris is a city.
00:02:23:29
00:02:23:40
PARIS1 paris
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00:02:23:45
00:02:23:49
AN1A ein
00:02:23:49
00:02:24:06
00:02:24:06
00:02:24:13
CITY2 stadt
00:02:24:13
00:02:24:28
00:02:24:28
00:02:24:33
MEANS1^
00:02:24:33
00:02:25:22
00:02:25:22
00:02:25:33
But Berlin is bigger than Paris in comparison.
00:02:25:33
00:02:25:47
COMPARISON3* vergleich
00:02:25:47
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00:02:26:16
00:02:26:32
BERLIN1C* berlin
00:02:26:32
00:02:26:42
00:02:26:42
00:02:26:48
THERE1*
00:02:26:48
00:02:27:30
00:02:27:30
00:02:27:36
BERLIN1C* berlin
00:02:27:36
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00:02:27:48
00:02:28:10
TO-BEAT7* [L03]
00:02:28:10
00:02:28:20
00:02:28:20
00:02:28:28
PARIS1 paris
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If one took the area of Paris, it would fit into Berlin nine times.
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00:02:29:06
PARIS1 paris
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$INDEX1
00:02:29:28
00:02:29:46
00:02:29:46
00:02:29:49
SELF1A* selbst
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00:02:30:28
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SQUARE10^
00:02:31:10
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00:02:31:33
$NUM-ONE-TO-TEN1A:9 neun
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00:02:31:42
00:02:31:49
TIMES3* mal
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00:02:32:16
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BERLIN1C* berlin
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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.
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00:02:34:24
I1
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00:02:34:32
BEEN1 gewesen
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00:02:34:41
00:02:34:46
LAST5 letzte
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YEAR2A jahr
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00:02:35:22
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PARIS1 paris
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TO1
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It was unbelievable.
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00:02:36:00
FEELING3* fühlen
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TO-EXAGGERATE1* übertrieben
00:02:36:24
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I was traveling by metro and had to change a lot.
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I1
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SUBWAY2A u-bahn
00:02:36:46
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00:02:37:24
ONCE-MORE4* [MG]
00:02:37:24
00:02:37:34
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00:02:38:10
$PROD* umstei{g} umstei{g}
00:02:38:10
00:02:38:21
00:02:38:21
00:02:38:28
The metro network is extremely dense.
00:02:38:28
00:02:38:39
NET1A netz Yes, but is it small?
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BUT1*
00:02:39:09
00:02:39:23
TO-EXAGGERATE1* übertrieben
00:02:39:23
00:02:39:41
It’s really small.
00:02:39:41
00:02:39:49
REALLY2*
00:02:39:49
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00:02:40:26
SMALL11* klein
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SQUARE10^* klein
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00:02:41:06
00:02:41:08
Paris really is tiny.
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$GEST-DECLINE1^*
00:02:41:24
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PARIS1 paris
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00:02:42:17
SQUARE10^* klein
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TRUE2* wahr
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In comparison, Paris would fit into Berlin nine times.
00:02:43:07
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$NUM-ONE-TO-TEN1A:9 neun
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00:02:43:29
TIMES3* mal
00:02:43:29
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00:02:43:34
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$INDEX1
00:02:43:41
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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
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00:02:45:07
PARIS1 paris
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$PROD*
00:02:45:38
00:02:45:42
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00:02:45:48
BERLIN1C* berlin
00:02:45:48
00:02:46:15
00:02:46:15
00:02:46:47
$PROD* [MG]
00:02:46:47
00:02:47:00
I/ I1
00:02:47:00
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00:02:47:29
I don’t believe that.
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$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
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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
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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-BEAT1^ bewusst
00:02:51:35
00:02:52:08
00:02:52:08
00:02:52:13
$GEST-OFF^*
00:02:52:13
00:02:52:21
00:02:52:21
00:02:52:26
GERMAN1* deutschland
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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
MUCH-OR-MANY2
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
MUCH-OR-MANY1A* 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
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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
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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
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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
$INDEX1
00:03:01:37
00:03:02:03
00:03:02:03
00:03:02:07
EXAMPLE1* beispiel
00:03:02:07
00:03:02:15
00:03:02:15
00:03:02:23
BAVARIA1* bayern
00:03:02:23
00:03:02:41
00:03:02:41
00:03:03:07
WEIRD3 [MG]
00:03:03:07
00:03:03:11
00:03:03:11
00:03:03:21
It’s typically traditional, they have traditional costumes and everything.
00:03:03:21
00:03:03:29
LIKE4A*$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
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
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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-OFF^*
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-OFF^*
00:03:16:39
00:03:16:43
00:03:16:43
00:03:17:04
TO-KNOW-OR-KNOWLEDGE2A* 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-OFF^* 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 and the Ruhr area, fashion is diverse.
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
NORTH-RHINE-WESTPHALIA2 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
MOST1A [MG]
00:03:29:12
00:03:29:43
PROTEST1^*
00:03:29:43
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
PROTEST1^* [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
$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/
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
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00:03:39:07
00:03:39:46
$GEST-OFF^*
00:03:39:46
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00:03:40:25
00:03:40:33
MUCH-OR-MANY5 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
$INDEX1
00:03:41:16
00:03:41:23
00:03:41:23
00:03:41:27
MUCH-OR-MANY5 viel
00:03:41:27
00:03:41:32
00:03:41:32
00:03:42:09
DISTINCT1 versch{ieden}
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I can’t narrow it down to just one.
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I1
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$GEST-OFF^*
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SOLID1A^* [MG]
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TO-FOCUS1 [MG]
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NONE8
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I1
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Asks in which city he would like to live in the future.
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I, well, I/
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I1*
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$GEST-OFF^* [MG]
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Well, my dream would be Miami because it’s so beautiful there.
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I2
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IMAGINATION1B* vo{rstellen}
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DREAM1 traum
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TO-WISH1A* wunsch
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$ALPHA1:M miami
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$INDEX1
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PLANE3A^*
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REASON4B* grund
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BEAUTIFUL1A schön
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Miami, because it would be nice to have my own house at the sea.
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$ALPHA1:M-I-A-M-I miami
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$INDEX1
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REASON4B* grund
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$INDEX1
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BEAUTIFUL1A schön
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OCEAN2B meer
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AREA1A
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OWN1A* eigene
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HOUSE1A haus
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A house directly on the beach, so you’re at the sea very quickly.
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LOCATION1A*
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$PROD*
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That would be nice.
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BEAUTIFUL1A* schön
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But it’s extremely expensive and impossible.
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BUT1* aber
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BACK-AND-FORTH1
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EXPENSIVE2* [MG]
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EXPENSIVE1*
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$GEST^
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CAN1*
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That would be my wish.
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TO-WISH1A* wunsch
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Other than that, I don’t care where I live in the future.
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OTHERWISE1
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WHATEVER3*
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Have you been there before?
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I2*
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BEEN1 gewesen
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FUTURE1A* zukunft
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APARTMENT5* wohnen
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THERE1
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I’ve been to Miami before, yes.
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I1
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$INDEX1
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You’ve been there?
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YES2*
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BEEN1 gewesen
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$ALPHA1:M miami
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$ALPHA1:M miami
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PRESENT-OR-HERE1*
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THERE1 YES2*
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YOU1*
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I would like to live in Essen in the future. $INDEX1
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I1
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TO-WISH1B wunsch
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LATER9A später
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ESSEN-CITY1* essen
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APARTMENT5* wohnen
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AREA1A^*
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Yes, in Essen.
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ESSEN-CITY1 essen
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Asks why he wants to go to Essen.
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I1*
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APARTMENT5*
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$GEST^
00:04:04:44
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I have a lot of friends there.
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I1
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FRIEND7 freund
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MUCH-OR-MANY5 viel
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AREA1A^*
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And there are a lot of interpreters there, which is good.
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AND2A und
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$GEST-OFF^*
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GOOD1 gut
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INTERPRETER1* dolmetschen
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PRESENT-OR-HERE1*
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It’s a big city, Iserlohn is rather small.
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BIG3B groß
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CITY2 stadt
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$ALPHA1:I iserlohn
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LITTLE-BIT2* [MG]
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$GEST^
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Concerning help or support, it’s bad.
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YES1A ja
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TO-HELP1 helfen
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TO-SUPPORT4 unterstützen
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BAD-OR-STALE2 [MG]
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Asks about other advantages of Essen.
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There is a good connection there.
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GOOD1* gut
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LINK1 verbindung
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One can take the metro and doesn’t need a car.
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CAN2A kann
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SUBWAY2A u-bahn
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CAR1*
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DONT-NEED1* brauchen nicht
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TO-LEAVE-OUT1*
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$GEST-OFF^*
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You can get around well by bus or metro.
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SUBWAY2A* u-bahn
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BUS1A bus
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LINK1 [MG]
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PRESENT-OR-HERE1* da da
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$GEST^
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The train is connected well, even at night.
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TRAIN2A* zug
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EVENING2 abend
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GOOD1 gut
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LINK1 verbindung
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GOOD1* sehr gut
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$GEST^
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They’re short lines.
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CLOSE-BY1A [MG]
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BACK-AND-FORTH1*
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$INDEX1
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One can get to Cologne or Dortmund quickly.
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COLOGNE2* köln
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TO2 [MG]
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EASY4
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DORTMUND1* dortmund
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$PROD* [MG]
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That’s good.
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GOOD1
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$GEST^
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It’s central. $GEST-OFF^
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LIKE6 wie
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CENTRE1A zentral
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AREA1A*
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A little bit like/
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BIT1A bisschen
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LIKE3A* wie
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Right.
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RIGHT-OR-AGREED1A stimmt
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Well, if you asked me where I wanted to live, I wouldn’t be able to answer.
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SELF1A selbst
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$GEST-OFF^*
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$INDEX1
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IF-OR-WHEN1A wenn
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QUESTION1* frage
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WOULD-BE1* wäre
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WHERE1A* wo
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APARTMENT5* wohnen
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CAN1*
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I’m very flexible.
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I1 ich
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MATERIAL1A^ fexibel
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I1
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VERY6 [MG]
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I’ve also said that to the employment agency.
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WHY7 warum
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ANYWAY1* sowieso
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NOW3* jetzt
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ALREADY1A* schon
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AGENCY1B amt
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TO-LET-KNOW1A*
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They asked whether I wanted to work in North Rhine-Westphalia or elsewhere.
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TO-WISH1E* wünschen
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$GEST-OFF^
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I2
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QUESTION1* frage
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WHERE1A* wo
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TO-WISH1B wünschen
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I2
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GERMAN1* deutschland
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COUNTRY1A
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$ALPHA1:W n-r-w
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AREA1B
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I’m open to anything in Germany.
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$GEST-OFF^*
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GERMAN1 deutschland
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COUNTRY1A
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OPEN1 offen
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I2
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It doesn’t matter to me.
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WHATEVER3 mir
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ALL1B^* egal
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WHATEVER3 egal
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I2*
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I don’t have a preferred city to live in.
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APARTMENT5
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TO-LIKE2 [MG]
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CITY2 stadt
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NONE1* kein
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I1
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Berlin is great.
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BERLIN1C* berlin
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TO-KNOW-OR-KNOWLEDGE2A*
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ALREADY1A schon
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SUPER3 [MG]
00:04:50:38
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But I think that after a while, it would get stressful, because there is so much going on.
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BUT1
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I1
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TO-BELIEVE2A glauben
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00:04:51:43
00:04:51:43
00:04:52:22
TO-LAST1 auf dauer
00:04:52:22
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STRESS3* stress
00:04:53:06
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00:04:53:11
00:04:53:21
REASON4B grund
00:04:53:21
00:04:53:39
00:04:53:39
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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-OFF^
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-OFF^ [MG]
00:05:02:25
00:05:02:39
00:05:02:39
00:05:03:05
TO-KNOW-OR-KNOWLEDGE2A 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
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-BE-ENTRANCED1^* 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.
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00:05:12:20
MUCH-OR-MANY5 viel
00:05:12:20
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DISTINCT1*
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I2*
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00:05:13:03
00:05:13:08
$GEST-OFF^*
00:05:13:08
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00:05:13:27
00:05:13:47
I/
00:05:13:47
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I1
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00:05:14:16
00:05:14:23
$GEST-OFF^*
00:05:14:23
00:05:14:41
00:05:14:41
00:05:15:02
Recently I was in Portugal; that was great. It was the north of Portugal.
00:05:15:02
00:05:15:13
LAST5
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00:05:15:25
00:05:15:25
00:05:15:35
PORTUGAL1 portugal
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00:05:15:39
00:05:15:39
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GOOD1* [MG]
00:05:15:48
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00:05:16:08
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NORTH1B nord
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00:05:16:43
00:05:17:05
PORTUGAL1* p
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00:05:17:08
00:05:17:08
00:05:17:21
PORTUGAL-$CANDIDATE-MST33^*
00:05:17:21
00:05:17:27
00:05:17:27
00:05:18:29
$ALPHA1:P-O-R-T-U-G-A-L portugal
00:05:18:29
00:05:18:42
00:05:18:42
00:05:19:01
Yes, I like Portugal.
00:05:19:01
00:05:19:10
PORTUGAL1* portugal
00:05:19:10
00:05:19:12
00:05:19:12
00:05:19:15
I1
00:05:19:15
00:05:19:28
00:05:19:28
00:05:19:38
GOOD1* [MG]
00:05:19:38
00:05:19:39
PORTUGAL. PORTUGAL-$CANDIDATE-MST33^ portugal
00:05:19:39
00:05:19:48
00:05:19:48
00:05:20:09
00:05:20:09
00:05:20:12
PORTUGAL-$CANDIDATE-MST33^ portugal
00:05:20:12
00:05:20:23
There’s PORTUGAL. PORTUGAL-$CANDIDATE-MST33^ portu{gal}
00:05:20:23
00:05:20:30
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} PORTUGAL1* 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
PORTUGAL1* 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
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-OFF^*
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
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
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
00:05:31:14
00:05:31:33
00:05:31:33
00:05:31:36
Yes.
00:05:31:36
00:05:32:14
YES1A* ja ja
00:05:32:14
00:05:32:25
00:05:32:25
00:05:32:37
That‘s not my home.
00:05:32:37
00:05:32:40
AT-HOME2* zu hause
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
I2
00:05:33:02
00:05:33:21
00:05:33:21
00:05:33:24
$GEST-OFF^*
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
PORTUGAL1* 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-OFF^*
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
NONE7 [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-OR-KNOWLEDGE2A*
00:05:46:28
00:05:46:37
00:05:46:37
00:05:46:45
PORTUGAL1* 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-OFF^*
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
MUCH-OR-MANY5 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
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00:05:55:33
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DISTINCT1* versch
00:05:55:44
00:05:56:01
00:05:56:01
00:05:56:03
$GEST-OFF^*
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-FOCUS1A^ [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-OFF^*
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
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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
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?
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
CARELESS3A [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
LIKE4A* 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
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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
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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
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LIKE4A* wie
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00:06:11:09
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I2
00:06:11:15
00:06:11:28
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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
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00:06:13:48
00:06:14:05
ALWAYS1A immer
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00:06:14:11
00:06:14:11
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TO-KNOW-STH-OR-SB1A kennen
00:06:14:24
00:06:14:29
00:06:14:29
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IF-OR-WHEN1A wenn
00:06:14:37
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JOURNEY1A [MG]
00:06:15:40
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00:06:16:10
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STREAM1^*
00:06:17:13
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00:06:17:19
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TO-INTERNALISE1
00:06:17:31
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00:06:17:34
00:06:17:36
I feel nice then, I feel good.
00:06:17:36
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LIKE3A wie
00:06:18:03
00:06:18:18
00:06:18:18
00:06:19:12
WELL1* wohl
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00:06:19:24
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FEELING3*
00:06:19:27
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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
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STREAM1^*
00:06:20:49
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00:06:21:09
00:06:21:10
$GEST-OFF^*
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
SHALL1 soll
00:06:22:01
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00:06:22:17
SOMETIME1* irgendwann
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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
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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
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00:06:26:32
STREAM1^*
00:06:26:32
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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
00:06:28:14
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
TO-FLOW1*
00:06:30:18
00:06:30:29
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FEELING3
00:06:30:35
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STREAM1^*
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. $GEST^
00:06:32:11
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00:06:32:19
00:06:32:24
LIKE4A wie
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00:06:32:38
00:06:32:38
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AIR1*
00:06:33:09
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00:06:33:11
00:06:33:22
The old air gets pushed out and I can breathe in anew.
00:06:33:22
00:06:33:32
OLD8B alt
00:06:33:32
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AIR1* luft
00:06:34:02
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PLANT1^* raus
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NEW1A neu
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00:06:35:07
00:06:35:07
00:06:35:29
TO-DEVOUR1C^* rein
00:06:35:29
00:06:35:34
But at some point I get fed up, because it’s always the same.
00:06:35:34
00:06:35:42
ALREADY1A schon
00:06:35:42
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SATED1 [MG]
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SAME2A selbe
00:06:36:39
00:06:36:46
00:06:36:46
00:06:36:48
Then, one can just travel to new places.
00:06:36:48
00:06:37:00
THEN7*$INDEX1 dann
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00:06:37:11
00:06:37:18
NEW1A neu
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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
$GEST-OFF^
00:06:44:05
00:06:44:14
00:06:44:14
00:06:44:28
I need to get out of there.
00:06:44:28
00:06:44:35
MUST1 muss
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DEPARTURE1
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00:06:45:30
I always need something different.
00:06:45:30
00:06:45:34
LIKE6* wie
00:06:45:34
00:06:45:43
00:06:45:43
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TO-SWAP3B*
00:06:46:20
00:06:48:22
00:06:48:22
00:06:49:04
I’m very flexible and open, traveling a lot.
00:06:49:04
00:06:49:20
FLEXIBLE4* oft flexibel
00:06:49:20
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00:06:49:27
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VERY7* [MG]
00:06:49:41
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00:06:50:01
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OPEN1 offen
00:06:50:10
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I2
00:06:50:22
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AREA1A^* [MG]
00:06:51:01
00:06:51:07
00:06:51:07
00:06:51:19
It’s the same abroad.
00:06:51:19
00:06:51:22
ALSO3A* auch
00:06:51:22
00:06:51:26
00:06:51:26
00:06:51:39
ABROAD2* ausland
00:06:51:39
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SAME2A* selbe
00:06:52:13
00:06:52:21
00:06:52:21
00:06:52:26
All the different places can be very beautiful.
00:06:52:26
00:06:52:30
I1$INDEX1 wir
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TO-COME1*
00:06:52:47
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REASON4A^* mal
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$INDEX1 da
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00:06:53:32
NOT-BAD1* nicht schlecht
00:06:53:32
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$INDEX1 da
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$INDEX1 da
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00:06:54:19
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GOOD1 [MG]
00:06:54:27
00:06:54:48
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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
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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
$GEST-OFF^*
00:07:05:21
00:07:05:33
00:07:05:33
00:07:08:48
00:07:08:48
00:07:09:11
I like capital cities.
00:07:09:11
00:07:09:13
I2
00:07:09:13
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GLADLY1 gern
00:07:09:24
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$MORPH-MAIN1A hauptstadt
00:07:09:40
00:07:09:44
00:07:09:44
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CITY2*
00:07:10:06
00:07:10:12
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00:07:10:20
The city.
00:07:10:20
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$INDEX2
00:07:10:25
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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
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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
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TO-LOOK-AT2
00:07:12:41
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WHAT-DOES-THAT-MEAN1*
00:07:13:14
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DIFFERENT1* [MG]
00:07:13:31
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OLD5A altstadt
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00:07:14:03
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CITY2*
00:07:14:08
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00:07:14:15
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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
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00:07:14:49
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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-OFF^
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
00:07:17:36
ALSO1A* auch
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
$GEST-OFF^*
00:07:18:39
00:07:18:44
One can go hiking in the country.
00:07:18:44
00:07:19:10
TO-HIKE2 wandern
00:07:19:10
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00:07:19:14
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$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
$INDEX1
00:07:21:33
00:07:21:48
00:07:21:48
00:07:22:12
Says that in the country, one can grab the soccer ball if it rolls off, in the city, it’s gone.
00:07:22:12
00:07:29:05
00:07:29:05
00:07:29:15
One can shoot far, maybe that’s an advantage.
00:07:29:15
00:07:29:17
THERE1
00:07:29:17
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$INDEX1
00:07:29:25
00:07:29:38
00:07:29:38
00:07:29:45
ADVANTAGE2 vorteil
00:07:29:45
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Ha, ha, ha.
00:07:30:06
00:07:30:07
$GEST-OFF^
00:07:30:07
00:07:30:20
00:07:30:20
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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-SPIN2B^* 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
SPECIAL-OR-PARTICULARLY1A besonders
00:07:48:02
00:07:48:10
YOUNG1 junge
00:07:48:10
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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
SPECIAL-OR-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
SPECIAL-OR-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
MUCH-OR-MANY5 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
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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* glauben
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-OFF^* [MG]
00:08:01:10
00:08:01:21
00:08:01:21
00:08:01:25
TO-BELIEVE2A
00:08:01:25
00:08:01:38
00:08:01:38
00:08:02:08
AFTER1* nach
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.
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^
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 MUCH-OR-MANY5 viel
00:08:06:02
00:08:06:07
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
AFTER1
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-STALE2 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-OFF^*
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-OFF^
00:08:11:26
00:08:11:27
00:08:11:27
00:08:11:31
$GEST-OFF^*
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
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-OFF^
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-OFF^*
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
$PROD* [MG]
00:08:16:30
00:08:17:02
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
SPECIAL-OR-PARTICULARLY1B besonders
00:08:20:28
00:08:20:41
00:08:20:41
00:08:20:43
$GEST-OFF^* 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
INDIA2* 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
INDIA2 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
SPECIAL-OR-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-OFF^*
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
MONEY1A* 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
SPECIAL-OR-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
MUCH-OR-MANY1A 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
00:08:41:33
00:08:41:33
00:08:41:39
CITY2*
00:08:41:39
00:08:42:14
00:08:42:14
00:08:42:41
COUNTRY1A* land
00:08:42:41
00:08:43:05
00:08:43:05
00:08:43:25
FLIGHT1A flucht
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
MOST1A 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
CAMERA5^* 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
SHALL1 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-LEG2^ [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-OFF^
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
PICTURE4 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
LIKE4A* 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-OFF^
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-TO-VANISH3* 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
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
LIKE4A* 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
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
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-OFF^* 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-OFF^*
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
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-OFF^*
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 #Name1.
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 #name1
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
FULL10* 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-OFF^*
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
MONEY1A* 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-ALONG2 mitnehmen
00:10:44:04
00:10:44:11
00:10:44:11
00:10:44:17
DONE1A
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-OFF^
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
TO-SEE1*
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-MARRY3A 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-OFF^*
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
FAR-AWAY1*
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-OFF^* [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
MOST1A 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
SOCIETY-OR-CORPORATION1* 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-OFF^
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. MOST1A 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-OFF^*
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
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-READ1B* 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
00:11:24:22
00:11:24:22
00:11:24:28
OVER-OR-ABOUT2 über
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 it’s the 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
WEIRD1*
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
00:11:31:36
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
TO-BELONG1
00:11:32:39
00:11:32:44
00:11:32:44
00:11:33:04
#His name is Name2/ #Name2. [correct name is #Name3]
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
MEAN-OR-BE-CALLED4* heißt
00:11:33:30
00:11:33:39
00:11:33:39
00:11:34:05
$NAME #name2
00:11:34:05
00:11:34:14
00:11:34:14
00:11:35:14
$NAME #name2
00:11:35:14
00:11:35:37
00:11:35:37
00:11:36:33
$NAME #name2
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-OR-KNOWLEDGE2A* 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 #Name1, 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 #name1
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
MUCH-OR-MANY1A 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-OFF^ 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
#Name1 is a small town.
00:11:45:17
00:11:45:23
$NAME #name1
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
LIKE4A* 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 #Name1.
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
NONE8* [MG]
00:11:49:21
00:11:49:28
00:11:49:28
00:11:49:33
$GEST-OFF^
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
LIKE7A* 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-AGO1*
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-OFF^*
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-AGO1 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
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^
00:12:19:10
00:12:19:32
00:12:19:32
00:12:19:34
$GEST^
00:12:19:34
00:12:19:41
SPIKY2 spitz
00:12:19:41
00:12:19:42
00:12:19:42
00:12:19:49
TO-SIGN1A* plauder
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$ALPHA1:D-E-M-O-G-R-A-F demografisch
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TO-CHANGE2A^
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Demographic change, yes.
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$ALPHA1:D-E-M-O-G-R-A-F-I-S-C-H-E-R demografischer
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TO-CHANGE10^* wandel
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No idea.
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$GEST-NM-TO-SHRUG1^ [MG]
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It used to look like a pyramid.
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TYPICAL1* typisch
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PAST-OR-BACK-THEN1* früher
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USUALLY1 normalerweise
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$PROD* so
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Because the younger generation got children and the older generation died.
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$INDEX1* warum
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OLD8B* alt
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$INDEX1
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BIRTH1B* [MG]
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$PROD*
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$INDEX1* dann
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DEATH2* [MG]
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HALF3*
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Now it’s turning around.
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$PROD*
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The top, usually it gets wider towards the bottom.
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SPIKY2
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$GEST-NM-NOD-HEAD1^
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USUALLY1* normalerweise
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SPIKY2B^
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More towards the bottom.
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PYRAMID2A*
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Now it’s turning around.
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NOW3* jetzt
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TO-CHANGE2D um
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There’s a problem there.
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$INDEX1
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