DOI: /10.25592/dgs.corpus-3.0-text-1180339-16161232-16363818

dgskorpus_hb_01: Regional Specialities

Topics Cinema, Theater, Museum, Art: Museum; City and Country: Bremen; City and Country: Osnabrück; Food and Beverage; Society: Traditions

Translation Lexeme/Sign Mouth Translation Lexeme/Sign Mouth Moderator
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I am from Bremen.
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MY1*
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HOME-OR-HOMELAND2 heimat
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$GEST^
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BREMEN1 bremen
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$GEST-OFF^
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I have lived there my entire life.
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I1*
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AS-ALWAYS1
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BEGINNING1A* anfang
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BIRTH1A
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UNTIL-TODAY2 bis
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TODAY3* heute
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AS-ALWAYS1* [MG]
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BREMEN1 bremen
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AS-ALWAYS1* [MG]
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Bremen does not have a lot of countryside, but it still is a beautiful city.
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BREMEN1 bremen
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$GEST^ [MG]
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BREMEN1 bremen
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NOW3* jetzt
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I1
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TO-KNOW-OR-KNOWLEDGE2B weiß
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BREMEN1 bremen
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$GEST^
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NATURE3* natur
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NOT1 [MG]
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BUT1* ab{er}
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BEAUTIFUL1A [MG]
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CITY2 stadt
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Being close to the North Sea is one advantage.
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ADVANTAGE1 [MG]
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$GEST^
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CLOSE-BY1B* [MG]
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WHAT1A
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NORTH1A nordsee
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LAKE1B*
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$GEST^
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The landscape is not strikingly beautiful. $GEST^
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HERE1* [MG]
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$GEST^
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HERE1* hier
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HERE1* [MG]
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$GEST^
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TO-STRIKE1A^ schön
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LANDSCAPE1* landschaft
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ONLY2A* nu{r}
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There are plenty of trees. You can go for a walk, or you can go hiking, as well.
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PRIMARILY1 [MG]
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FOREST2B* baum
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$GEST^
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TO-GO-FOR-A-WALK2B* spazieren
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PRESENT-OR-HERE1* da
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TO-HIKE4* wandern
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$GEST^
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But it is just flat.
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ONLY2A* nur
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And skating.
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PLANE3B* flach
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ROLLERBLADES1A* inliner
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It really is!
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ONLY2A nur
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PLANE3B* flach
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$GEST-PLEASE1^ inliner
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Skating? Sure.
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ROLLERBLADES1A inline
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But everything is just flat.
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PRIMARILY1 [MG]
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ONLY2A nur
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PLANE3B* flach flach flach
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$GEST^
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Though the good thing about it is that you don't have to bike uphill; that would be utterly exhausting.
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ONLY2A nur
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BICYCLE1 fahrrad
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TO-FIND-STH-SUPER2* [MG]
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$PROD*
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I1
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BICYCLE1 [MG]
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TO-NEED1* brauch nicht
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There is a lot of rural landscape near Bremen.
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MEASURE-VERTICAL2A^*
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INTEREST1A [MG]
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BREMEN1* bremen
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TO-OWN1 [MG]
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CLOSE-BY1B* nah
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FARMER1* bauer
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COUNTRY3B* land
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It is beautiful.
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BEAUTIFUL1A schön
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The area around Oldenburg, for instance.
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EXAMPLE1* beispiel
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OLDENBURG1B oldenburg
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COUNTRY3A* landschaft
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OLDENBURG1B*$PROD*
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$PROD* oldenburg
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Delmenhorst not so much.
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AND5* und
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$ALPHA1:D$PROD* delmenh{orst}
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NO1B [MG]
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$PROD*
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$PROD*
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However, the landscape in the direction of Rotenburg is very beautiful, as well.
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RED1A* rot{enburg}
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$PROD*BEAUTIFUL3*
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Up north, close to Osterholz-Scharmbeck, the landscape looks fairly different.
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ALSO1A* au{ch}
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$PROD*
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WOOD11* osterholz-scharmbeck
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$ALPHA1:SCH*
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$PROD*
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$PROD*
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DIFFERENT1 ander{s}
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COUNTRY3A* landsch{aft}
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$PROD*
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DIFFERENCE1B* unterschiede
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In fact, there are four different rural regions.
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$NUM-ONE-TO-TEN1A:4 vier
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DISTINCT1* verschieden
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FARMER1* bauern
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COUNTRY3B* land
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DIFFERENCE1B* {unter}schied
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LOCATION1A^*
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Have you ever noticed that too?
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$INDEX1*
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BEEN1* gewesen
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TO-MEMORISE1PROMPT1*
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Osterholz-Scharmbeck/
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$INDEX1
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WOOD11* osterholz-scharmbeck
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$PROD* Fischerhude is entirely different, as well.
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FISH2 fischerhude
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AREA1A*
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$ALPHA1:H-D-E
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That's located east of Osterholz-Scharmbeck. $GEST-AGREEMENT1^* $INDEX1
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ALSO1A auch
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$PROD*
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DIFFERENT1* anders
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YES1A* [MG]
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WOOD11* osterholz-scharmbeck
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$PROD*
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$INDEX1
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Brake is part of the district “Wesermarsch” and located west of Bremen.
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$PROD*
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$ALPHA1:B-R-A-K-E* brake
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EAST1A* ost
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WHERE1A* wo
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$INIT-CIRCLE1^* weserland
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$PROD*
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It is not part of East Frisia, but of the Wesermarsch near Nordenham.
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EAST1A ost
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$INIT-CIRCLE1^* weserland
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$INDEX1 weserland
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$INIT-CIRCLE1^*
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$PROD*
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NORTH1B nordenham
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$ALPHA1:H-A-M
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$PROD*
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In the South near Delmenhorst, in Syke and Weyhe, the region looks a little off. $PROD*
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$ALPHA1:D del{menhorst}
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MAIL1B^ syke
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$ALPHA1:W-E wey{he}
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BIT2A bissch{en}
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WEIRD3* [MG]
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A nature park is located in the South-West, near Wildeshausen.
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CLOSE-BY1B* [MG]
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GAME-ANIMALS6^ wildeshausen
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HOUSE1A^*
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NATURE6A* natur
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PLANE1^ park
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$GEST^
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AREA1A*
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Very different landscapes.
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$PROD*
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$INDEX1*
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DIFFERENCE1B [MG]
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COUNTRY3A*
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The Weser Uplands have the least trees - that's something I have noticed.
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TREE2A* baum
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$INDEX1*
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NOTHING1A [MG]
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LITTLE-BIT4* wenig
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TREE2B*
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TO-STRIKE1A auffallen
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$INIT-CIRCLE1^* weserland
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AREA1A*
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Hardly anything grows there.
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PRIMARILY1 [MG]
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LITTLE-BIT4* [MG]
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TREE2A* baum
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LITTLE-BIT4 [MG]
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AREA1A*
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BORDER1B^*
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There are some great museums located in Bremen.
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BREMEN1* bremen
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PRESENT-OR-HERE1 [MG]
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BEAUTIFUL1B schön
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$GEST^
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MUSEUM1 museum
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$GEST-OFF^
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Like any other city, Bremen holds various exhibitions on the historic city center, or on local history, such as the “Roland” [a statue in the market square of Bremen].
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EVERYONE1B* jede
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CITY2 stadt
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MUSEUM1* museum
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OLD5A altstadt
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CITY2
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SERVICE-OR-DUTY3^* roland
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HISTORY-OR-STORY3 geschichte
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$GEST^
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$GEST-OFF^
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Bremerhaven isn't too far away either. Possibly at a distance of 40 or 50 kilometers.
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SPECIAL-OR-PARTICULARLY1A
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BREMEN1* bremerhaven
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HARBOUR2
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$GEST^
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BREMEN1* bremen
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CLOSE-BY1B* [MG]
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APPROXIMATELY1*
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$NUM-TENS2A:4 vierzig
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$NUM-TENS2A:5 fünfzig
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KILOMETRE1* kilometer
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UNTIL1^*
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BREMEN1* bremerhaven
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HARBOUR2*
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There they have a large harbor, a zoo, and the German Maritime Museum.
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PRESENT-OR-HERE1 da
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BIG3B
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HARBOUR1* hafen
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$GEST^
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MUSEUM1
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$ALPHA1:Z-OO zoo
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PRESENT-OR-HERE1* da
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WHAT1A
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SHIP1 schiff
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GERMAN1 deutsch
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MUSEUM1 museum
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PRESENT-OR-HERE1* da
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$GEST^
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You can go biking or skating, as well.
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$NUM-ONE-TO-TEN1A:2d
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POSSIBLE1* mö{glich}
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$INDEX1*
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BICYCLE1 fahr{rad}
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CLEAR1A* klar
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$LIST1:2of2d
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ROLLERBLADES1A inliner
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CLEAR1A klar
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And you can even surf nearby.
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$LIST1:3of3d
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TO-ROW1^* surfen
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SPECIAL-OR-PARTICULARLY1A [MG]
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$INDEX1*
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MORE1* mehr
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CLOSE-BY1B* [MG]
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TO-SURF1 surfen
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WHAT1B was
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You can go kite surfing there, as well.
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$PROD* kiting
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WIND1*
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$PROD* drachen
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$PROD*
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CAN2B kann
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$GEST-OFF^*
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$GEST^
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And they have festivities, too!
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CELEBRATION3A fest
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CELEBRATION2* [MG]
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Festivities? Actually, there are only two. AREA1A*
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CELEBRATION1A* fest
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ONLY2A
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$NUM-ONE-TO-TEN1A:2 zwei
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An outstanding celebration is the “Osterwiese” [Easter meadow].
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SPECIAL-OR-PARTICULARLY1A besonders
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CELEBRATION1A* fest
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EASTERN1D* osterwiese
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PLANE3B^
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It is similar to the Oktoberfest, but it is named differently.
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LIKE3A* wie
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OCTOBER2* oktoberfest
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CELEBRATION1A*
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ATTENTION1A^*
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DIFFERENT1
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WORD3*
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A funfair.
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MARKET2 fre{imarkt}
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FUNFAIR2* kirmes
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FUNFAIR1*
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Mostly, the “Osterwiese” is held in April.
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EASTERN1D* osterwiese
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PLANE3A^
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TYPICAL1* typisch
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APRIL2* april
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TO-BELONG1^*
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And the “Freimarkt” [lit. free fair] takes place in October.
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ALSO1A* auch
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OCTOBER2* oktober
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TYPICAL1* typisch
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FREE4 freimarkt
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MARKET6
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It is called “Ischa Freimaak” in Low German. It derives from Bremen's history.
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TO-KNOW-OR-KNOWLEDGE2A^*
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$ALPHA1:I-SCH-A-F-R-E-I-M-AA-K ischafreimaak
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FLAT1A plattdeutsch
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GERMAN1
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PAST-OR-BACK-THEN2
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HISTORY-OR-STORY3* geschichte
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FLAT1A plattdeutsch
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GERMAN1
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WORD2
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$INDEX1
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It is the oldest fair of Northern Germany.
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HISTORY-OR-STORY3^*
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OLD5A alt
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HISTORY-OR-STORY3^* histor{isch}
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MARKET2* freimarkt
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NORTH1B norddeutsch
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GERMAN1*
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TOGETHER2C^ volksfest
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CELEBRATION1A*
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NORTH1B norddeutsch
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GERMAN1*
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SOLE1 einzig
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OLD5A* alt
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The “Osterwiese” emerged later on.
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OCTOBER16* oktoberfest
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CELEBRATION3A*
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$INDEX1
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LATER10* spä{ter}
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$INDEX1
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Exactly, the “Freimarkt” is the oldest fair. Therefore, it is one-of-a-kind.
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$INDEX1
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OLD5A alt
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$GEST^
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SPECIAL-OR-PARTICULARLY1A besonders
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$INDEX1
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Once a year they hold an evening of musical entertainment. AND2A und
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HERE1
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$GEST^
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SOMETIMES2 manchmal
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$NUM-ONE-TO-TEN1A:1 einmal
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YEAR3B jahr
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MUSIC4 musikabend
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EVENING2*
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That's a typical open-air event with great light effects. It is held between the events “Osterwiese” and “Freimarkt”.
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TYPICAL1 typisch
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BETWEEN1C zwischen
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TO-FORGET1 vergess
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MUSIC1 musik
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OUTSIDE1 drauß
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PUBLIC2 öffen{tlich}
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LIGHT1* licht
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TO-ORGANISE2A organ{isieren}
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There is a lot going on.
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$GEST^
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MUCH-OR-MANY1A* And the Samba Carnival!
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TO-ORGANISE2A
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Oh Samba, right!
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TO-BEAT1^* samba Right, that is in February.
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$INDEX1* samba
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RIGHT-OR-AGREED1A
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RIGHT-OR-AGREED1A stimmt
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FEBRUARY1B februar
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The Samba Carnival is characteristic of “the Viertel” [name of the street district].
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TYPICAL1* typ{isch}
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BETWEEN1B*
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QUARTER1* viertel
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STREET1*
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TO-BEAT1^* samba
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The city of Bremen invites international performers who then present their acts.
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CITY2 stadt
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PEOPLE2
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CURTAIN2^ zirkus
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INTERNATIONAL1* international
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TO-FIND1B^*
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TO-COME1*
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TO-SHOW1A* [MG]
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$GEST-OFF^
00:02:57:14
00:02:57:21
Oh, yes, and they have a parade, as well. It takes place at roughly the same time as the “Osterwiese” [funfair].
00:02:57:21
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AND2A und
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TO-MOVE1* umzug
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TYPICAL1 typisch
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EASTERN1C* osterwiese
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PLANE3B^
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TIME1
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EXACTLY1
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TO-MOVE1* umzug
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00:03:02:19
MASS-OF-PEOPLE-ACTIVE2* [MG]
00:03:02:19
00:03:02:22
00:03:02:22
00:03:02:30
They toss loads of candy into the crowd.
00:03:02:30
00:03:02:35
CANDY2* bonbon
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00:03:02:46
00:03:04:26
TO-THROW1^* [MG]
00:03:04:26
00:03:04:34
Still, it is different from the Cologne Carnival.
00:03:04:34
00:03:04:43
COLOGNE2 köln
00:03:04:43
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DIFFERENT1 anders
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CARNIVAL2 karneval
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$INDEX1
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00:03:06:14
DIFFERENT1 anders
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Yet, they too have a procession through the city.
00:03:06:29
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TO-MOVE1* umzug
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MASS-OF-PEOPLE-ACTIVE2* [MG]
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$INDEX1
00:03:08:12
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00:03:08:13
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And Easter Fires are typical for Bremen.
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AND2A
00:03:08:23
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EASTERN1A* osterfeuer
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FIRE1A
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TYPICAL1 typisch
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00:03:10:32
They are held the day before Easter Sunday.
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00:03:10:35
$NUM-ONE-TO-TEN1A:1d* ein
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00:03:10:48
DAY1A* tag
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00:03:11:04
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BEFORE1D vor
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EASTERN1C ostern
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EASTERN1C osterfeuer
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Aren't those held on Good Friday?
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$ALPHA1:K* karfreitag
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FIRE1A
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FREE1*
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$ALPHA1:K*
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No, afterwards.
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$ALPHA1:K karfreitag
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NO1A
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NO1A
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AFTERWARDS2A
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OUTDOORS1A* feuer
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There is Good Friday, the Saturday before Easter, and Easter Sunday. Usually, they take place on Saturdays.
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$INDEX1
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$ALPHA1:K karf{reitag}
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TYPICAL1 typisch
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FRIDAY1A$NUM-ONE-TO-TEN1A:1d freitag
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SATURDAY2$NUM-ONE-TO-TEN1A:2d samstag
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SUNDAY1A$NUM-ONE-TO-TEN1A:3d sonntag
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EASTERN1C* ostersonntag
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SUNDAY1A*
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$LIST1:2of3d
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SUDDENLY4* [MG]
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SATURDAY2* samstag
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$LIST1:2of2d*
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TYPICAL1* typisch
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EASTERN1C* osterfeuer
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FIRE1A
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There are quite different Easter Fires: large public gatherings, small ones, and private ones.
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DIFFERENCE1B* [MG]
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BIG3B groß
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EVENT3 veranstaltung
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$GEST^ oder
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SMALL6 [MG]
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PRIVATE1A* privat
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TO-OWN1 [MG]
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00:03:26:48
You have to get permission for hosting a private Easter Fire.
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ALLOWED2A* darf
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TO-ACKNOWLEDGE1
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COHERENCE1A^
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REQUEST1A ant{rag}
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From small to huge: there are plenty of different events.
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$INDEX1
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SMALL6 klein
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BIG3B groß
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DIFFERENCE1B* [MG]
00:03:30:06
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00:03:30:12
00:03:30:41
EVENT3 veranstaltung
00:03:30:41
00:03:30:43
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A nice Easter Fire is also dependent on the weather.
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EASTERN1D* osterfeuer
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FIRE1A
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COHERENCE1A^
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$INDEX2 wetter
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$INDEX1
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Last year it was quite warm already; you could even wear a T-shirt. We'll see how the weather will be next time.
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LAST5 letzt
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GREAT1A* [MG]
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SUMMER2 sommer
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T-SHIRT2
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TO-KNOW-OR-KNOWLEDGE2B [MG]
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NEXT1
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I1
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$GEST^
00:03:37:03
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TO-ORGANISE2A organ{isieren}
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00:03:38:41
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What else can I talk about?
00:03:39:05
00:03:40:01
$GEST^
00:03:40:01
00:03:40:06
Right, back to the three museums.
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INTEREST1A
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$NUM-ONE-TO-TEN1A:3d
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MUSEUM1
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The best museum is called “Universum” [universe]; it is a museum of natural science.
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SPECIAL-OR-PARTICULARLY1A [MG]
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UNIVERSITY1 universum
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$PROD*
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$PROD*
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NATURE6A naturwissenschaft
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SCIENCE2
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It's about cold water, and how to avoid flooding. That's what you can see in the museum.
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WEATHER9*
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WATER1*
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COLD2* kalt
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WATER1 wasser
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$GEST^
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WATER1* wasser
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STREAM1 strö{mung}
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STRONG1B stark
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DEFENCE3C abwehr
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HOW8 wie wie
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MUSEUM1 museum
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PRESENT-OR-HERE1 da
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SUPER1*
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It is next to the 'Black Box', on the other side of the road.
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NEXT-TO1A* [MG]
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BLACK3 black
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BOX1 box
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CLOSE-BY1B* [MG]
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$INDEX1* um
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$INDEX1
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Last year it dealt with the manufacturing of chocolate, and this year the topic is phantasy, color, and shape.
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NEW1A neu
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SUBJECT1
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HERE1 hier
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SUBJECT1 thema
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LAST5 letzte
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BLOCK1* blockschokolade
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CHOCOLATE2
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HOW-QUESTION-COMPARISON1 wie
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PROCEEDING1A ablauf
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NOW1 jetzt
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SUBJECT1 thema
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FANTASY1* fantasie
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00:04:03:16
COLOUR1A farbe
00:04:03:16
00:04:03:26
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SHAPE1A form
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00:04:04:08
Really interesting.
00:04:04:08
00:04:04:27
INTEREST1A
00:04:04:27
00:04:04:33
00:04:04:33
00:04:04:36
You can, for instance, look at various shapes.
00:04:04:36
00:04:04:48
SHAPE1A form
00:04:04:48
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TO-LOOK-AT4^
00:04:05:29
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00:04:06:36
There is also a museum at the Schnoor about the lives of Bremen's inhabitants in the past.
00:04:06:36
00:04:06:42
ALSO1A* auch
00:04:06:42
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TO-OWN1 [MG]
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BREMEN1 bremen
00:04:07:41
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SS1*
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TRADITION2A*
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TO-LIVE1C leben
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LIKE1 wie
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MUSEUM1*
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$INDEX1
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$ALPHA1:SCH-N-OO-R schnoor
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TO-OWN1 [MG]
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MUSEUM1
00:04:12:27
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00:04:12:31
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How they dressed in former days, and all sorts of things.
00:04:12:39
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LIKE1 wie
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BREMEN1 bremer
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CLOTHES3^* klamotte
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$GEST^
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In the history of Bremen, cog-built vessels were quite popular.
00:04:17:35
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BREMEN1* bremen
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SPECIAL-OR-PARTICULARLY1A*
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FAMOUS1B berühmt
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SPECIAL-OR-PARTICULARLY1A besonders
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HISTORY-OR-STORY3 geschichte
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WHAT1A*
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$ALPHA1:K-N k-n
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$ALPHA1:K-O-G-G-E kogge
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Those were wooden ships that were used for trading.
00:04:21:25
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SHIP1*
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WOOD11 holzschiffe
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SHIP1
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PAST-OR-BACK-THEN2* früher
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TRADE-OR-NEGOTIATION3* handeln
00:04:23:14
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Bremen and Hamburg were trading cities.
00:04:23:18
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BREMEN1* bremen
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AND2A und
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HAMBURG2 ham{burg}
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EQUAL8^ [MG]
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TRADE-OR-NEGOTIATION3 handeln
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00:04:25:37
00:04:26:20
BACK-AND-FORTH1*
00:04:26:20
00:04:26:31
00:04:26:31
00:04:26:39
Bremen is known for its coffee beans, as well.
00:04:26:39
00:04:26:49
HERE1
00:04:26:49
00:04:27:07
00:04:27:07
00:04:27:12
BREMEN1* bremen
00:04:27:12
00:04:27:14
00:04:27:14
00:04:27:21
ALSO1A auch
00:04:27:21
00:04:27:30
00:04:27:30
00:04:27:41
WELL-KNOWN1A bekannt
00:04:27:41
00:04:27:46
00:04:27:46
00:04:28:00
WHAT1A
00:04:28:00
00:04:28:06
00:04:28:06
00:04:28:33
MEASURE-VERTICAL2A^* bohne
00:04:28:33
00:04:28:39
00:04:28:39
00:04:29:01
COFFEE2A kaffee
00:04:29:01
00:04:29:12
00:04:29:12
00:04:29:29
COFFEE1A
00:04:29:29
00:04:29:35
00:04:29:35
00:04:30:04
MEASURE-VERTICAL2A^* bohne
00:04:30:04
00:04:30:12
Back in those days, people dealt a lot in those, as well as in chocolate.
00:04:30:12
00:04:31:32
TRADE-OR-NEGOTIATION3 handel
00:04:31:32
00:04:31:42
00:04:31:42
00:04:32:11
CHOCOLATE2 schokolade
00:04:32:11
00:04:32:24
00:04:32:24
00:04:33:26
TRADE-OR-NEGOTIATION3 handel
00:04:33:26
00:04:33:30
00:04:33:30
00:04:34:04
They shipped the beans back and forth between Bremen and America.
00:04:34:04
00:04:34:23
$INDEX1
00:04:34:23
00:04:34:48
00:04:34:48
00:04:35:08
AMERICA1 amerika
00:04:35:08
00:04:35:14
00:04:35:14
00:04:35:21
$INDEX1
00:04:35:21
00:04:35:33
00:04:35:33
00:04:36:16
TO-GIVE1A^*
00:04:36:16
00:04:36:26
00:04:36:26
00:04:36:36
MEASURE-VERTICAL2A^* bohne
00:04:36:36
00:04:36:42
00:04:36:42
00:04:37:02
$GEST^
00:04:37:02
00:04:37:12
00:04:37:12
00:04:39:31
00:04:39:31
00:04:39:37
What else can I talk about?
00:04:39:37
00:04:40:03
MORE1 mehr
00:04:40:03
00:04:40:08
00:04:40:08
00:04:40:36
$INDEX1*
00:04:40:36
00:04:40:45
00:04:40:45
00:04:41:28
00:04:41:28
00:04:45:23
It is said, that in this season of the year, in October, something very popular takes place in Bremen.
00:04:45:23
00:04:45:30
Oh yes, great!
00:04:45:30
00:04:45:36
$GEST^
00:04:45:36
00:04:45:46
00:04:45:46
00:04:46:00
$GEST^
00:04:46:00
00:04:46:06
00:04:46:06
00:04:46:25
SUPER2*
00:04:46:25
00:04:46:31
00:04:46:31
00:04:46:38
$INDEX1
00:04:46:38
00:04:46:44
00:04:46:44
00:04:47:02
SUPER2
00:04:47:02
00:04:47:23
00:04:47:23
00:04:47:31
TYPICAL1*
00:04:47:31
00:04:47:44
Cabbage is a famous dish in Bremen. It is prepared traditionally.
00:04:47:44
00:04:48:13
FAMOUS1A berühmt
00:04:48:13
00:04:48:20
00:04:48:20
00:04:48:29
WHAT1A
00:04:48:29
00:04:48:41
00:04:48:41
00:04:48:47
TRADITION2A tradition
00:04:48:47
00:04:49:12
00:04:49:12
00:04:50:06
CABBAGE2* kohl
00:04:50:06
00:04:50:07
00:04:50:07
00:04:50:13
It is called “Grünkohl mit Pinkel” [curly-leafed kale and a special kind of sausage].
00:04:50:13
00:04:50:28
NAME1B name
00:04:50:28
00:04:50:34
00:04:50:34
00:04:50:42
CABBAGE2 kohl
00:04:50:42
00:04:50:46
00:04:50:46
00:04:51:04
AND2A und
00:04:51:04
00:04:51:10
00:04:51:10
00:04:51:24
PENIS1^ pinkel
00:04:51:24
00:04:51:27
00:04:51:27
00:04:51:40
Duh, I cannot sign it like that. I meant the sausage “Pinkel” - from the “kale tours”.
00:04:51:40
00:04:51:49
PENIS1^ pinkel
00:04:51:49
00:04:52:07
00:04:52:07
00:04:52:13
MUST1A^
00:04:52:13
00:04:52:30
00:04:52:30
00:04:52:47
CROOKED1^* pinkel
00:04:52:47
00:04:53:07
00:04:53:07
00:04:53:43
TO-DRIVE1 fahrt
00:04:53:43
00:04:53:47
00:04:53:47
00:04:54:07
Nope, the other sign is not suitable.
00:04:54:07
00:04:54:18
PENIS1^ pinkel
00:04:54:18
00:04:54:30
00:04:54:30
00:04:55:04
WORD3 wort
00:04:55:04
00:04:55:10
00:04:55:10
00:04:55:24
NO1A
00:04:55:24
00:04:55:32
00:04:55:32
00:04:55:41
MUST1A^
00:04:55:41
00:04:56:29
00:04:56:29
00:04:56:43
SAUSAGE1B pinkel
00:04:56:43
00:04:57:07
00:04:57:07
00:04:57:30
TO-DRIVE1 fahrt
00:04:57:30
00:04:57:37
00:04:57:37
00:04:58:04
Those walks are usually from November until March.
00:04:58:04
00:04:58:17
TYPICAL1* typisch
00:04:58:17
00:04:59:13
00:04:59:13
00:04:59:36
NOVEMBER7* november
00:04:59:36
00:04:59:45
00:04:59:45
00:05:00:05
UNTIL1 bis
00:05:00:05
00:05:00:12
00:05:00:12
00:05:00:36
MARCH12* märz
00:05:00:36
00:05:00:49
00:05:00:49
00:05:01:12
MEASURE2B^*
00:05:01:12
00:05:01:16
00:05:01:16
00:05:01:29
It‘s the best to eat kale when it‘s cold outside.
00:05:01:29
00:05:01:34
COHERENCE1A^
00:05:01:34
00:05:01:41
00:05:01:41
00:05:01:45
BEST1 [MG]
00:05:01:45
00:05:02:04
00:05:02:04
00:05:02:09
IF-OR-WHEN1A wenn
00:05:02:09
00:05:02:19
00:05:02:19
00:05:02:33
COLD2 kalt
00:05:02:33
00:05:02:45
00:05:02:45
00:05:03:03
TO-EAT-OR-FOOD1* essen
00:05:03:03
00:05:03:13
You typically put a shot glass that is attached to a string around your neck before the tour starts.
00:05:03:13
00:05:03:21
TYPICAL1
00:05:03:21
00:05:03:23
00:05:03:23
00:05:03:30
WHAT1A was
00:05:03:30
00:05:03:44
00:05:03:44
00:05:04:03
BEFOREHAND2* vorher
00:05:04:03
00:05:04:21
00:05:04:21
00:05:05:02
MASS-OF-PEOPLE-ACTIVE2*
00:05:05:02
00:05:05:13
00:05:05:13
00:05:05:24
TOGETHER1A* [MG]
00:05:05:24
00:05:05:28
00:05:05:28
00:05:05:34
BOOZE2 schnaps
00:05:05:34
00:05:05:40
00:05:05:40
00:05:06:25
$PROD*
00:05:06:25
00:05:06:31
00:05:06:31
00:05:06:41
Mostly people drink Plum [a sort of hard liquor made from plums] or Korn [lit. 'grain', a sort of hard liquor usually made from fermented rye].
00:05:06:41
00:05:07:05
TO-POUR-OR-TO-WATER1B^BOOZE1* [MG]
00:05:07:05
00:05:07:15
00:05:07:15
00:05:07:24
DIFFERENCE1B* [MG]
00:05:07:24
00:05:07:31
00:05:07:31
00:05:07:35
BOOZE2
00:05:07:35
00:05:07:40
00:05:07:40
00:05:07:45
MOST1A
00:05:07:45
00:05:08:07
00:05:08:07
00:05:08:12
$NUM-ONE-TO-TEN1A:1d
00:05:08:12
00:05:08:23
BOOZE1^* plum
00:05:08:23
00:05:08:27
00:05:08:27
00:05:08:37
$NUM-ONE-TO-TEN1A:2d
00:05:08:37
00:05:09:12
BOOZE1^ korn
00:05:09:12
00:05:09:25
00:05:09:25
00:05:09:35
$GEST^
00:05:09:35
00:05:09:44
But it can be any other kind of liquor, as well.
00:05:09:44
00:05:09:48
HERE1
00:05:09:48
00:05:10:08
00:05:10:08
00:05:10:25
IN-ADDITION-MORE-AND-MORE1 [MG]
00:05:10:25
00:05:10:32
00:05:10:32
00:05:10:41
POSSIBLE1* mög{lich}
00:05:10:41
00:05:10:45
00:05:10:45
00:05:10:49
In the past, it was common to drink “Korn”.
00:05:10:49
00:05:11:06
PAST-OR-BACK-THEN2* früher
00:05:11:06
00:05:11:14
00:05:11:14
00:05:11:22
USUAL1* nor{mal}
00:05:11:22
00:05:11:28
00:05:11:28
00:05:11:45
BOOZE1 korn
00:05:11:45
00:05:12:15
00:05:12:15
00:05:13:03
TO-POUR-OR-TO-WATER1A*
00:05:13:03
00:05:13:16
You walk for two to four hours. Along the way you take breaks and play games before you get to eat.
00:05:13:16
00:05:13:24
TO-EAT-OR-FOOD2* es{sen}
00:05:13:24
00:05:13:29
00:05:13:29
00:05:13:38
THEN1A*
00:05:13:38
00:05:14:01
00:05:14:01
00:05:14:12
TO-GO-FOR-A-WALK1 [MG]
00:05:14:12
00:05:14:18
00:05:14:18
00:05:14:34
HOUR2A* zwei stunden
00:05:14:34
00:05:14:42
00:05:14:42
00:05:15:02
HOUR2A* vier stunden
00:05:15:02
00:05:15:09
00:05:15:09
00:05:15:29
TO-GO-FOR-A-WALK2B* [MG]
00:05:15:29
00:05:15:37
00:05:15:37
00:05:15:40
BIT2A
00:05:15:40
00:05:15:47
00:05:15:47
00:05:16:08
TEACHER2^* gesellschaftsspiele
00:05:16:08
00:05:16:15
00:05:16:15
00:05:16:34
TO-PLAY1
00:05:16:34
00:05:16:37
00:05:16:37
00:05:16:44
In between the games you do a variety of things.
00:05:16:44
00:05:17:15
BETWEEN1D*
00:05:17:15
00:05:17:22
00:05:17:22
00:05:17:28
TEACHER2^* gesellschaftsspiele
00:05:17:28
00:05:17:32
00:05:17:32
00:05:17:38
TO-PLAY1
00:05:17:38
00:05:17:48
00:05:17:48
00:05:18:25
DIFFERENCE1B [MG]
00:05:18:25
00:05:18:39
Then, you stop at a restaurant to eat lots of kale.
00:05:18:39
00:05:18:47
$INDEX1
00:05:18:47
00:05:19:09
00:05:19:09
00:05:19:25
CONNECTION1 anschließend
00:05:19:25
00:05:19:29
00:05:19:29
00:05:20:11
RESTAURANT1 restaurant
00:05:20:11
00:05:20:31
00:05:20:31
00:05:20:39
TO-EAT-OR-FOOD2 es{sen}
00:05:20:39
00:05:20:46
00:05:20:46
00:05:21:10
SATED1*
00:05:21:10
00:05:21:25
00:05:21:25
00:05:21:47
SERVICE2B
00:05:21:47
00:05:22:03
00:05:22:03
00:05:22:14
Sometimes the kale is served with cooked or fried potatoes, with “Kochwurst” [a pre-cooked sausage] or “Kassler” [smoked pork chop]. TYPICAL1* typisch
00:05:22:14
00:05:22:28
00:05:22:28
00:05:22:42
POTATO3A* kartoffel
00:05:22:42
00:05:23:07
00:05:23:07
00:05:23:16
TO-SLIDE-OR-TO-PUSH6^*
00:05:23:16
00:05:23:24
00:05:23:24
00:05:23:32
SOMETIMES2 manchmal
00:05:23:32
00:05:23:39
00:05:23:39
00:05:24:01
TO-BAKE2 blechkartoffel
00:05:24:01
00:05:24:10
00:05:24:10
00:05:24:24
POTATO3A*
00:05:24:24
00:05:24:32
00:05:24:32
00:05:24:44
SERVICE2A*
00:05:24:44
00:05:25:12
00:05:25:12
00:05:25:19
AND2A* und
00:05:25:19
00:05:25:36
00:05:25:36
00:05:26:03
TO-COOK2C kochwurst
00:05:26:03
00:05:26:16
00:05:26:16
00:05:26:37
SAUSAGE1A
00:05:26:37
00:05:27:00
00:05:27:00
00:05:27:08
AND2A und
00:05:27:08
00:05:27:22
00:05:27:22
00:05:27:31
DOG1^ kassler
00:05:27:31
00:05:27:35
00:05:27:35
00:05:28:33
ENVELOPE3^*
00:05:28:33
00:05:28:42
00:05:28:42
00:05:29:08
TO-PUT-OR-TO-LAY1A^*
00:05:29:08
00:05:29:22
00:05:29:22
00:05:29:28
AND2A
00:05:29:28
00:05:29:39
00:05:29:39
00:05:30:09
CABBAGE2* kohl
00:05:30:09
00:05:30:20
00:05:30:20
00:05:30:34
TO-EAT-OR-FOOD1* essen
00:05:30:34
00:05:30:38
00:05:30:38
00:05:30:45
It's quite interesting: You cannot buy any curly-leafed kale in Munich.
00:05:30:45
00:05:31:34
CABBAGE2* kohl
00:05:31:34
00:05:31:43
00:05:31:43
00:05:31:49
$INDEX1
00:05:31:49
00:05:32:04
00:05:32:04
00:05:32:18
INTEREST1A interessant
00:05:32:18
00:05:32:25
00:05:32:25
00:05:32:30
HERE1
00:05:32:30
00:05:32:39
00:05:32:39
00:05:32:46
$INDEX1
00:05:32:46
00:05:33:04
00:05:33:04
00:05:33:10
TO-LIKE4 [MG]
00:05:33:10
00:05:33:13
00:05:33:13
00:05:33:21
$GEST^
00:05:33:21
00:05:33:33
00:05:33:33
00:05:33:38
MUNICH1A* münchen
00:05:33:38
00:05:33:45
00:05:33:45
00:05:33:47
$INDEX1*
00:05:33:47
00:05:34:02
00:05:34:02
00:05:34:18
TO-WANT5* will
00:05:34:18
00:05:34:40
00:05:34:40
00:05:34:43
IDEA2A [MG]
00:05:34:43
00:05:35:05
00:05:35:05
00:05:35:25
TO-COOK1* kochen
00:05:35:25
00:05:35:33
00:05:35:33
00:05:35:49
CABBAGE2 kohl
00:05:35:49
00:05:36:09
00:05:36:09
00:05:36:20
TO-BUY1A kaufen
00:05:36:20
00:05:36:24
00:05:36:24
00:05:36:38
$INDEX1
00:05:36:38
00:05:36:42
00:05:36:42
00:05:36:44
You only get it around here.
00:05:36:44
00:05:36:47
ONLY2A nur
00:05:36:47
00:05:37:01
00:05:37:01
00:05:37:39
HERE1*
00:05:37:39
00:05:38:04
00:05:38:04
00:05:38:12
If the inhabitants of Munich want any curly-leafed kale, they have to obtain it from us.
00:05:38:12
00:05:38:19
$INDEX4
00:05:38:19
00:05:38:23
00:05:38:23
00:05:38:43
NO2B
00:05:38:43
00:05:38:48
00:05:38:48
00:05:39:08
MUST1 muss
00:05:39:08
00:05:39:22
00:05:39:22
00:05:39:33
TO-WANT5* will
00:05:39:33
00:05:39:49
00:05:39:49
00:05:40:06
TO-ORDER1A bestell
00:05:40:06
00:05:40:15
00:05:40:15
00:05:40:38
HERE1*
00:05:40:38
00:05:40:49
00:05:40:49
00:05:41:04
I did not know that before, but I have read about it recently.
00:05:41:04
00:05:41:09
I1 ich
00:05:41:09
00:05:41:16
00:05:41:16
00:05:41:20
TO-KNOW-OR-KNOWLEDGE2A
00:05:41:20
00:05:41:28
00:05:41:28
00:05:41:36
RECENTLY1
00:05:41:36
00:05:41:42
00:05:41:42
00:05:42:04
TO-READ-BOOK2B [MG]
00:05:42:04
00:05:42:09
00:05:42:09
00:05:42:16
INTEREST1A*
00:05:42:16
00:05:42:21
00:05:42:21
00:05:42:29
TOWARDS9 zum
00:05:42:29
00:05:42:37
00:05:42:37
00:05:43:03
TO-TAKE-SB-OR-STH-ALONG2* mitnehm
00:05:43:03
00:05:43:04
00:05:43:04
00:05:43:07
HERE1
00:05:43:07
00:05:43:14
Curly-leafed kale is really delicious; it is exclusively typical during that time.
00:05:43:14
00:05:43:21
CABBAGE2 kohl
00:05:43:21
00:05:43:29
00:05:43:29
00:05:43:33
IN-ADDITION1*
00:05:43:33
00:05:43:34
00:05:43:34
00:05:43:37
HERE1
00:05:43:37
00:05:43:44
00:05:43:44
00:05:44:33
TASTY1A lecker
00:05:44:33
00:05:44:37
00:05:44:37
00:05:44:40
$INDEX1
00:05:44:40
00:05:44:42
00:05:44:42
00:05:45:00
TYPICAL1* typisch
00:05:45:00
00:05:45:09
00:05:45:09
00:05:45:23
BETWEEN1B^* [MG]
00:05:45:23
00:05:45:28
00:05:45:28
00:05:45:30
TYPICAL1*
00:05:45:30
00:05:45:34
00:05:45:34
00:05:45:42
$INDEX1
00:05:45:42
00:05:45:46
00:05:45:46
00:05:46:01
The dish can be prepared in private, or with your family. Even my grandmother makes it if she feels like it.
00:05:46:01
00:05:46:10
DISTINCT1 versch{ieden}
00:05:46:10
00:05:46:22
00:05:46:22
00:05:46:37
PRIVATE1A* privat
00:05:46:37
00:05:46:47
00:05:46:47
00:05:47:09
OR4B* o{der}
00:05:47:09
00:05:47:23
00:05:47:23
00:05:47:42
FAMILY1 familie
00:05:47:42
00:05:47:44
00:05:47:44
00:05:48:06
$GEST-OFF^
00:05:48:06
00:05:48:09
00:05:48:09
00:05:48:14
SOMETIMES2 manchmal
00:05:48:14
00:05:48:18
00:05:48:18
00:05:48:21
MY2*
00:05:48:21
00:05:48:29
00:05:48:29
00:05:48:35
GRANDMA1C oma
00:05:48:35
00:05:48:46
00:05:48:46
00:05:49:03
DELIGHT1B lust
00:05:49:03
00:05:49:10
00:05:49:10
00:05:49:15
IT-WORKS-OUT1 klapp
00:05:49:15
00:05:49:23
00:05:49:23
00:05:49:29
LIKE-THIS1A so
00:05:49:29
00:05:49:36
It doesn't always have to be combined with a cabbage walk. You can cook the kale just like that, and eat it with your friends. That's how the elderly typically do it.
00:05:49:36
00:05:49:44
WITHOUT1* ohne
00:05:49:44
00:05:50:01
00:05:50:01
00:05:50:11
MASS-OF-PEOPLE-ACTIVE2* fahrt
00:05:50:11
00:05:50:22
00:05:50:22
00:05:50:27
ONLY2A nur
00:05:50:27
00:05:50:37
00:05:50:37
00:05:51:02
TO-COOK1*
00:05:51:02
00:05:51:11
00:05:51:11
00:05:51:28
TO-EAT-OR-FOOD2
00:05:51:28
00:05:51:48
00:05:51:48
00:05:52:02
OLD5A* alt
00:05:52:02
00:05:52:07
00:05:52:07
00:05:52:15
PEOPLE2 leute
00:05:52:15
00:05:52:22
00:05:52:22
00:05:52:36
TYPICAL1*
00:05:52:36
00:05:52:41
00:05:52:41
00:05:52:48
Younger people, like myself, enjoy the walks and prefer going to restaurants together.
00:05:52:48
00:05:53:02
YOUNG1* ju{ng}
00:05:53:02
00:05:53:04
00:05:53:04
00:05:53:08
I1
00:05:53:08
00:05:53:24
00:05:53:24
00:05:53:44
MASS-OF-PEOPLE-ACTIVE2* kohlfahrt
00:05:53:44
00:05:54:02
00:05:54:02
00:05:54:09
RESTAURANT1* restau{rant}
00:05:54:09
00:05:54:18
00:05:54:18
00:05:54:29
THROUGH1^*
00:05:54:29
00:05:54:38
00:05:54:38
00:05:55:12
TO-EAT-OR-FOOD1*
00:05:55:12
00:05:55:15
00:05:55:15
00:05:55:20
TO-SIT1A restaurant
00:05:55:20
00:05:55:35
00:05:55:35
00:05:55:41
TO-COOK1*
00:05:55:41
00:05:56:02
It is quite filling.
00:05:56:02
00:05:56:09
FEELING3*
00:05:56:09
00:05:56:22
00:05:56:22
00:05:56:32
THICK7^ Perhaps you will do it like that in the future.
00:05:56:32
00:05:56:40
00:05:56:40
00:05:56:43
LATER5* später
00:05:56:43
00:05:57:13
$GEST^ [MG]
00:05:57:13
00:05:57:22
00:05:57:22
00:05:57:29
DONT-KNOW1 weiß nicht
00:05:57:29
00:05:57:39
00:05:57:39
00:05:57:40
TYPICAL1
00:05:57:40
00:05:57:49
00:05:57:49
00:05:58:07
$GEST-OFF^
00:05:58:07
00:05:58:13
00:05:58:13
00:05:58:20
Yes.
00:05:58:20
00:05:58:32
YES2
00:05:58:32
00:05:58:36
Another famous dish of Bremen is called “Labskaus”.
00:05:58:36
00:05:58:42
AND5* und
00:05:58:42
00:05:59:05
00:05:59:05
00:05:59:18
INTEREST1A
00:05:59:18
00:05:59:32
00:05:59:32
00:05:59:46
BREMEN1 bremen
00:05:59:46
00:06:00:06
00:06:00:06
00:06:00:20
TO-EAT-OR-FOOD2 essen
00:06:00:20
00:06:00:30
00:06:00:30
00:06:00:45
KITCHEN3B küche
00:06:00:45
00:06:01:02
00:06:01:02
00:06:01:10
BREMEN1 bremen
00:06:01:10
00:06:01:28
00:06:01:28
00:06:01:34
QUOTATION-MARKS1
00:06:01:34
00:06:01:43
00:06:01:43
00:06:02:01
BREMEN1* bremen
00:06:02:01
00:06:02:08
00:06:02:08
00:06:02:14
KITCHEN3B kü{che}
00:06:02:14
00:06:02:19
00:06:02:19
00:06:02:24
HERE1
00:06:02:24
00:06:02:25
00:06:02:25
00:06:02:32
FAMOUS1A be{rühmt}
00:06:02:32
00:06:02:36
00:06:02:36
00:06:02:41
WHAT1A
00:06:02:41
00:06:03:00
00:06:03:00
00:06:03:42
TO-STOMP1^* labskaus
00:06:03:42
00:06:04:34
00:06:04:34
00:06:04:40
People who worked at the harbor used to have really bad teeth back then, so they weren't able to eat meat anymore.
00:06:04:40
00:06:05:01
ALREADY1B schon
00:06:05:01
00:06:05:03
00:06:05:03
00:06:05:11
PAST-OR-BACK-THEN1*
00:06:05:11
00:06:05:33
00:06:05:33
00:06:06:09
TO-STOMP1^* labs{kaus}
00:06:06:09
00:06:06:14
00:06:06:14
00:06:06:25
PAST-OR-BACK-THEN1* früher
00:06:06:25
00:06:06:29
00:06:06:29
00:06:06:34
THROUGH2A durch
00:06:06:34
00:06:06:38
00:06:06:38
00:06:06:45
BACK-THEN1* da{mals}
00:06:06:45
00:06:07:06
00:06:07:06
00:06:07:25
HARBOUR1* hafen
00:06:07:25
00:06:07:31
00:06:07:31
00:06:07:44
$INDEX1
00:06:07:44
00:06:07:49
00:06:07:49
00:06:08:09
PEOPLE2 leute
00:06:08:09
00:06:08:18
00:06:08:18
00:06:08:25
BAD-OR-STALE1 schlecht
00:06:08:25
00:06:08:33
00:06:08:33
00:06:09:18
TOOTH2 zahn
00:06:09:18
00:06:09:34
00:06:09:34
00:06:09:39
FOR1
00:06:09:39
00:06:10:01
00:06:10:01
00:06:10:12
MEAT1A* fleisch
00:06:10:12
00:06:10:20
00:06:10:20
00:06:10:30
TO-EAT-OR-FOOD2 essen
00:06:10:30
00:06:10:41
00:06:10:41
00:06:11:36
CAN1* kann
00:06:11:36
00:06:11:46
00:06:11:46
00:06:12:10
That's why they invented “Labskaus” - it is all soft and minced.
00:06:12:10
00:06:12:23
TO-INVENT1
00:06:12:23
00:06:12:41
00:06:12:41
00:06:13:48
TO-GRIND1^ [MG]
00:06:13:48
00:06:14:06
“Labskaus” is still popular.
00:06:14:06
00:06:14:12
$INDEX1
00:06:14:12
00:06:14:23
00:06:14:23
00:06:14:41
FAVOURITE-OR-HONEY1* lieb{lings}
00:06:14:41
00:06:14:49
00:06:14:49
00:06:15:25
NOW3* bis
00:06:15:25
00:06:15:49
00:06:15:49
00:06:17:00
TO-STOMP1^* labskaus
00:06:17:00
00:06:17:09
The side dish varies, depending on the particular region.
00:06:17:09
00:06:17:14
MORE1
00:06:17:14
00:06:17:18
00:06:17:18
00:06:17:34
DIFFERENCE1B
00:06:17:34
00:06:17:43
00:06:17:43
00:06:18:01
CERTAIN1*
00:06:18:01
00:06:18:10
00:06:18:10
00:06:18:19
CLOSE-BY1B [MG]
00:06:18:19
00:06:18:30
00:06:18:30
00:06:18:42
PART1A teil
00:06:18:42
00:06:18:46
00:06:18:46
00:06:18:49
$INDEX1*
00:06:18:49
00:06:19:06
00:06:19:06
00:06:19:10
$ALPHA1:R region
00:06:19:10
00:06:19:20
00:06:19:20
00:06:19:40
REGION1*
00:06:19:40
00:06:19:42
00:06:19:42
00:06:19:47
MEANING1
00:06:19:47
00:06:19:49
00:06:19:49
00:06:20:11
DIFFERENCE1B unterschied
00:06:20:11
00:06:20:14
00:06:20:14
00:06:20:20
In Bremen they serve “Labskaus” with fried eggs, and pickled herring fillets.
00:06:20:20
00:06:20:26
I1
00:06:20:26
00:06:20:32
00:06:20:32
00:06:20:37
$INDEX1
00:06:20:37
00:06:20:43
00:06:20:43
00:06:20:48
BREMEN1* bremen
00:06:20:48
00:06:21:05
00:06:21:05
00:06:21:11
TYPICAL1 typisch
00:06:21:11
00:06:21:22
00:06:21:22
00:06:21:42
$LIST1:1of1d
00:06:21:42
00:06:22:01
00:06:22:01
00:06:22:29
TO-STOMP1^* labskaus
00:06:22:29
00:06:23:06
00:06:23:06
00:06:23:15
WITH1A mit
00:06:23:15
00:06:23:17
00:06:23:17
00:06:23:21
MIRROR1* spiegelei
00:06:23:21
00:06:23:34
00:06:23:34
00:06:23:43
EGG3B*
00:06:23:43
00:06:24:02
00:06:24:02
00:06:24:09
AND2A und
00:06:24:09
00:06:24:18
00:06:24:18
00:06:24:30
CUCUMBER2B* gurke
00:06:24:30
00:06:24:35
00:06:24:35
00:06:24:42
AND2A und
00:06:24:42
00:06:24:47
00:06:24:47
00:06:25:42
TO-ROLL1A^ rollmops
00:06:25:42
00:06:26:08
00:06:26:08
00:06:26:21
$PROD*
00:06:26:21
00:06:26:36
00:06:26:36
00:06:27:13
$PROD*
00:06:27:13
00:06:27:25
RIGHT-OR-AGREED1A
00:06:27:25
00:06:27:34
00:06:27:34
00:06:27:46
Really tasty and popular to this day.
00:06:27:46
00:06:28:11
TO-FIND-STH-SUPER2 [MG]
00:06:28:11
00:06:28:17
00:06:28:17
00:06:28:21
$INDEX1
00:06:28:21
00:06:28:33
00:06:28:33
00:06:28:46
FAVOURITE-OR-HONEY1
00:06:28:46
00:06:29:01
00:06:29:01
00:06:29:09
UNTIL-TODAY2 bis heute
00:06:29:09
00:06:29:15
00:06:29:15
00:06:29:22
RIGHT-OR-AGREED1A stimmt
00:06:29:22
00:06:29:27
00:06:29:27
00:06:29:32
$INDEX1
00:06:29:32
00:06:29:44
The third typical specialty of Bremen is ham with fried eggs, and a big pot of fried potatoes.
00:06:29:44
00:06:30:04
$LIST1:2of2d
00:06:30:04
00:06:30:09
00:06:30:09
00:06:30:18
ALSO3A* auch
00:06:30:18
00:06:30:29
00:06:30:29
00:06:31:20
$GEST^
00:06:31:20
00:06:31:27
00:06:31:27
00:06:31:41
$GEST^
00:06:31:41
00:06:32:18
00:06:32:18
00:06:32:36
HAM1* schinken
00:06:32:36
00:06:32:45
00:06:32:45
00:06:33:09
AND2A und
00:06:33:09
00:06:33:19
00:06:33:19
00:06:33:35
EGG3B spiegelei
00:06:33:35
00:06:33:42
00:06:33:42
00:06:33:47
AND2A
00:06:33:47
00:06:34:04
00:06:34:04
00:06:34:13
POTATO3A kartoffel
00:06:34:13
00:06:34:21
00:06:34:21
00:06:34:46
TO-BAKE2 backen
00:06:34:46
00:06:35:09
00:06:35:09
00:06:36:15
BIG3B^ topf
00:06:36:15
00:06:36:40
00:06:36:40
00:06:37:03
$LIST1:3of3d
00:06:37:03
00:06:37:07
00:06:37:07
00:06:37:19
And the fourth would be “Knigg” [Knigg is actually supposed to be “Knipp”].
00:06:37:19
00:06:37:33
$LIST1:4of4d
00:06:37:33
00:06:37:41
00:06:37:41
00:06:39:31
$ALPHA1:K-N-I-GG knigg
00:06:39:31
00:06:39:49
00:06:39:49
00:06:40:06
FEELING3^ [MG]
00:06:40:06
00:06:40:13
For the dish, different kinds of meat are mixed together.
00:06:40:13
00:06:40:22
MEAT1A* fleisch
00:06:40:22
00:06:40:28
00:06:40:28
00:06:40:43
TO-MIX2 misch
00:06:40:43
00:06:41:01
00:06:41:01
00:06:41:08
$GEST^
00:06:41:08
00:06:41:17
00:06:41:17
00:06:41:20
WHAT-DOES-IT-LOOK-LIKE1*
00:06:41:20
00:06:41:32
00:06:41:32
00:06:41:39
$INDEX1*
00:06:41:39
00:06:41:48
00:06:41:48
00:06:42:10
RIGHT-OR-AGREED1^*
00:06:42:10
00:06:42:13
00:06:42:13
00:06:42:18
I 'd rather not know what's in it exactly.
00:06:42:18
00:06:42:37
RATHER1 lieber
00:06:42:37
00:06:42:46
00:06:42:46
00:06:43:07
CONTENT3* inhalt
00:06:43:07
00:06:43:16
00:06:43:16
00:06:43:21
WHAT1A was
00:06:43:21
00:06:43:31
00:06:43:31
00:06:43:35
TO-KNOW-OR-KNOWLEDGE2B
00:06:43:35
00:06:43:42
00:06:43:42
00:06:44:01
NOT3B
00:06:44:01
00:06:44:06
00:06:44:06
00:06:44:12
$GEST-DECLINE1^
00:06:44:12
00:06:44:15
As long as it tastes good.
00:06:44:15
00:06:44:20
$INDEX1
00:06:44:20
00:06:44:26
00:06:44:26
00:06:44:33
MAIN-POINT1B haupt{sache}
00:06:44:33
00:06:44:36
00:06:44:36
00:06:44:47
TO-EAT-OR-FOOD2 essen
00:06:44:47
00:06:45:03
00:06:45:03
00:06:45:11
TO-TASTE1A schmeckt
00:06:45:11
00:06:45:13
00:06:45:13
00:06:45:20
GOOD1 gut
00:06:45:20
00:06:45:26
If I knew what's in there, I probably wouldn't eat it any longer.
00:06:45:26
00:06:45:30
IF-OR-WHEN1A* wenn
00:06:45:30
00:06:45:35
00:06:45:35
00:06:45:40
TO-KNOW-OR-KNOWLEDGE2B
00:06:45:40
00:06:45:47
00:06:45:47
00:06:46:13
CONTENT3 inhalt
00:06:46:13
00:06:46:19
00:06:46:19
00:06:46:29
TO-EAT-OR-FOOD1 essen
00:06:46:29
00:06:46:37
00:06:46:37
00:06:46:49
NOT3B
00:06:46:49
00:06:47:02
That is why I don't want to know the ingredients.
00:06:47:02
00:06:47:05
$INDEX1
00:06:47:05
00:06:47:16
00:06:47:16
00:06:47:28
TO-KNOW-STH-OR-SB1A
00:06:47:28
00:06:47:39
00:06:47:39
00:06:48:06
TO-TAKE1A^*
00:06:48:06
00:06:48:20
00:06:48:20
00:06:48:25
TO-KNOW-OR-KNOWLEDGE2B weiß
00:06:48:25
00:06:48:31
00:06:48:31
00:06:48:38
CONTENT3 in{halt}
00:06:48:38
00:06:48:47
00:06:48:47
00:06:49:10
NOT3B
00:06:49:10
00:06:49:27
00:06:49:27
00:06:49:41
A deaf person once told me that if I enjoyed eating it, I should know the ingredients.
00:06:49:41
00:06:49:49
DEAF1A
00:06:49:49
00:06:50:06
00:06:50:06
00:06:50:10
FRIEND1* freund
00:06:50:10
00:06:50:15
00:06:50:15
00:06:50:38
AFFECTED2
00:06:50:38
00:06:50:49
00:06:50:49
00:06:51:12
CONTENT3 inhalt
00:06:51:12
00:06:51:18
00:06:51:18
00:06:51:22
BEFORE2 vor
00:06:51:22
00:06:51:29
00:06:51:29
00:06:51:30
TO-EAT-OR-FOOD2*
00:06:51:30
00:06:51:34
00:06:51:34
00:06:52:00
TO-TASTE1A [MG]
00:06:52:00
00:06:52:04
00:06:52:04
00:06:52:08
$INDEX1
00:06:52:08
00:06:52:11
00:06:52:11
00:06:52:23
AFFECTED2
00:06:52:23
00:06:52:24
00:06:52:24
00:06:52:29
But I rather wouldn't know it.
00:06:52:29
00:06:52:33
I1
00:06:52:33
00:06:52:44
00:06:52:44
00:06:53:01
$GEST-DECLINE1^* [MG]
00:06:53:01
00:06:53:10
00:06:53:10
00:06:53:13
HEADING1^*
00:06:53:13
00:06:53:17
00:06:53:17
00:06:53:21
I1
00:06:53:21
00:06:53:26
00:06:53:26
00:06:53:31
TO-KNOW-OR-KNOWLEDGE2A
00:06:53:31
00:06:53:35
00:06:53:35
00:06:53:43
TO-WANT7 will
00:06:53:43
00:06:53:47
00:06:53:47
00:06:54:02
NOT3B nicht
00:06:54:02
00:06:54:09
00:06:54:09
00:06:54:14
TO-KNOW-OR-KNOWLEDGE2B
00:06:54:14
00:06:54:19
00:06:54:19
00:06:54:25
I1
00:06:54:25
00:06:54:35
00:06:54:35
00:06:54:43
$GEST-DECLINE1^*
00:06:54:43
00:06:54:47
As long as it tastes good.
00:06:54:47
00:06:55:04
$MORPH-MAIN1B haupt
00:06:55:04
00:06:55:07
00:06:55:07
00:06:55:28
TO-EAT-OR-FOOD1 essen
00:06:55:28
00:06:55:31
00:06:55:31
00:06:55:34
TO-TASTE1A* [MG]
00:06:55:34
00:06:55:42
Whether I knew all the ingredients or not, I would eat it anyways.
00:06:55:42
00:06:55:44
I1*
00:06:55:44
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00:06:55:47
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00:06:56:06
00:06:56:13
WHATEVER3 egal
00:06:56:13
00:06:56:16
00:06:56:16
00:06:56:23
IF1 ob
00:06:56:23
00:06:56:30
00:06:56:30
00:06:56:42
TO-KNOW-OR-KNOWLEDGE2B* weiß
00:06:56:42
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00:06:56:49
00:06:57:19
OR1* oder
00:06:57:19
00:06:57:28
00:06:57:28
00:06:57:39
TO-LET1^* egal
00:06:57:39
00:06:57:47
00:06:57:47
00:06:58:10
TO-EAT-OR-FOOD2* essen
00:06:58:10
00:06:58:22
00:06:58:22
00:06:58:33
DONE1A* fertig
00:06:58:33
00:06:59:00
00:06:59:00
00:06:59:29
Bremen has some great specialties itself.
00:06:59:29
00:06:59:44
$LIST1:3of5
00:06:59:44
00:07:00:03
00:07:00:03
00:07:00:12
BREMEN1* bre{men}
00:07:00:12
00:07:00:16
00:07:00:16
00:07:00:25
TO-OWN1* [MG]
00:07:00:25
00:07:00:30
00:07:00:30
00:07:00:45
OWN1B eigen
00:07:00:45
00:07:01:07
00:07:01:07
00:07:01:10
TO-EAT-OR-FOOD1*
00:07:01:10
00:07:01:12
00:07:01:12
00:07:01:23
TO-EAT-OR-FOOD2 essen
00:07:01:23
00:07:01:26
00:07:01:26
00:07:01:41
TO-FIND-STH-SUPER2* [MG]
00:07:01:41
00:07:01:44
00:07:01:44
00:07:02:01
Especially downtown, in the historic city center, they have some great restaurants like the “Bremer Ratskeller”.
00:07:02:01
00:07:02:06
MOST1B* [MG]
00:07:02:06
00:07:02:22
00:07:02:22
00:07:02:29
OLD5B* altstadt
00:07:02:29
00:07:02:36
00:07:02:36
00:07:03:30
CITY2
00:07:03:30
00:07:03:41
00:07:03:41
00:07:03:49
$INDEX1
00:07:03:49
00:07:04:08
00:07:04:08
00:07:04:26
RESTAURANT1 restaurant
00:07:04:26
00:07:04:36
00:07:04:36
00:07:04:42
$INDEX1
00:07:04:42
00:07:04:48
00:07:04:48
00:07:05:09
BREMEN1* bremen
00:07:05:09
00:07:05:16
00:07:05:16
00:07:05:28
UNDER1A^* rat
00:07:05:28
00:07:05:38
00:07:05:38
00:07:05:48
$INDEX-ORAL1 ratskeller
00:07:05:48
00:07:06:07
00:07:06:07
00:07:06:24
UNDER1A^*
00:07:06:24
00:07:06:30
00:07:06:30
00:07:06:35
It is really good.
00:07:06:35
00:07:06:45
TO-FIND-STH-SUPER2
00:07:06:45
00:07:07:01
The guests are seated close by the wine barrels in little snugs.
00:07:07:01
00:07:07:27
HONEY2^* wein
00:07:07:27
00:07:07:38
00:07:07:38
00:07:08:09
BARREL1 fass
00:07:08:09
00:07:08:14
00:07:08:14
00:07:09:00
ROUND4A^* groß groß
00:07:09:00
00:07:09:06
00:07:09:06
00:07:09:24
TO-SIT1A* sitz
00:07:09:24
00:07:09:29
00:07:09:29
00:07:09:37
THERE-IS3*
00:07:09:37
00:07:09:44
00:07:09:44
00:07:10:04
SOCIETY-OR-CORPORATION1* gesellschaft
00:07:10:04
00:07:10:13
00:07:10:13
00:07:10:17
SMALL1A* klein
00:07:10:17
00:07:10:20
00:07:10:20
00:07:10:39
$PROD*
00:07:10:39
00:07:10:44
If you like to sit in those cosy rooms, you need to make reservations in advance.
00:07:10:44
00:07:11:02
PARENTS9B* eltern
00:07:11:02
00:07:11:10
00:07:11:10
00:07:11:18
PAST-OR-BACK-THEN1* früher
00:07:11:18
00:07:11:29
00:07:11:29
00:07:11:38
TO-MAKE-RESERVATIONS1 reservieren
00:07:11:38
00:07:12:01
00:07:12:01
00:07:12:15
$PROD*
00:07:12:15
00:07:12:19
00:07:12:19
00:07:12:31
TO-ENJOY1* gen{ießen}
00:07:12:31
00:07:12:36
The wine and the food taste brilliant.
00:07:12:36
00:07:13:03
WINE4 wein
00:07:13:03
00:07:13:21
00:07:13:21
00:07:13:36
TO-EAT-OR-FOOD1 es{sen}
00:07:13:36
00:07:13:48
00:07:13:48
00:07:14:23
TO-FIND-STH-SUPER2 [MG]
00:07:14:23
00:07:14:37
00:07:14:37
00:07:15:31
00:07:15:31
00:07:15:42
Bremen is also known for its beer.
00:07:15:42
00:07:16:03
BREMEN1* bremen
00:07:16:03
00:07:16:11
00:07:16:11
00:07:16:20
FAMOUS1A berühmt
00:07:16:20
00:07:16:27
00:07:16:27
00:07:16:40
OWN1B* eigene
00:07:16:40
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00:07:17:20
BEER1 bier
00:07:17:20
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00:07:17:32
Beck's.
00:07:17:32
00:07:18:19
$ALPHA1:B-E-C-K-S becks
00:07:18:19
00:07:18:22
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00:07:18:28
Right.
00:07:18:28
00:07:18:45
$GEST^
00:07:18:45
00:07:19:08
00:07:19:08
00:07:19:21
They have a big company on site.
00:07:19:21
00:07:19:29
BIG3B* groß
00:07:19:29
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00:07:19:48
STORE1* firma
00:07:19:48
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$GEST^
00:07:20:18
00:07:20:26
00:07:20:26
00:07:21:43
00:07:21:43
00:07:22:35
What else can I talk about?
00:07:22:35
00:07:23:04
$GEST^ [MG]
00:07:23:04
00:07:23:17
The Town Musicians of Bremen.
00:07:23:17
00:07:23:29
00:07:23:29
00:07:24:36
00:07:24:36
00:07:25:00
Yes, the famous fairy tale of the Town Musicians of Bremen: a donkey, a dog, a cat, and a cock.
00:07:25:00
00:07:25:11
YES2 ja
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00:07:25:21
00:07:25:29
FAMOUS1A berühmt
00:07:25:29
00:07:25:38
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00:07:26:15
HISTORY-OR-STORY8 märchen
00:07:26:15
00:07:26:33
00:07:26:33
00:07:26:39
BREMEN1* bremer stadtmusikanten
00:07:26:39
00:07:26:48
00:07:26:48
00:07:27:08
CITY2
00:07:27:08
00:07:27:16
00:07:27:16
00:07:28:00
MUSIC1
00:07:28:00
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00:07:28:17
00:07:28:28
DONKEY1*$NUM-ONE-TO-TEN1A:1d esel
00:07:28:28
00:07:28:38
00:07:28:38
00:07:28:44
$LIST1:2of2d
00:07:28:44
00:07:29:07
00:07:29:07
00:07:29:16
DOG3* hund
00:07:29:16
00:07:29:25
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00:07:29:31
$LIST1:3of3d
00:07:29:31
00:07:29:37
00:07:29:37
00:07:29:49
CAT1A* katze
00:07:29:49
00:07:30:18
00:07:30:18
00:07:30:39
COCK1$NUM-ONE-TO-TEN1A:4d hahn
00:07:30:39
00:07:31:00
00:07:31:00
00:07:31:16
$GEST-OFF^
00:07:31:16
00:07:31:45
00:07:31:45
00:07:32:01
A famous fairy tale, an old tale.
00:07:32:01
00:07:32:11
FAMOUS1A berühmt
00:07:32:11
00:07:32:18
00:07:32:18
00:07:33:03
HISTORY-OR-STORY8 märchen
00:07:33:03
00:07:33:11
00:07:33:11
00:07:33:22
HISTORY-OR-STORY3* geschich{te}
00:07:33:22
00:07:33:28
00:07:33:28
00:07:33:42
PAST-OR-BACK-THEN1*
00:07:33:42
00:07:34:06
00:07:34:06
00:07:34:11
$GEST-OFF^
00:07:34:11
00:07:34:26
00:07:34:26
00:07:35:45
00:07:35:45
00:07:46:13
If you have friends form Southern Germany visiting you, what places should they be visiting?
00:07:46:13
00:07:46:26
First of all, a guided tour through the city center where the “Bremer Roland”, the cathedral, and the “Musicians of Bremen” are located.
00:07:46:26
00:07:46:45
$LIST1:1of1d*
00:07:46:45
00:07:47:03
00:07:47:03
00:07:47:11
SPECIAL-OR-PARTICULARLY1A [MG]
00:07:47:11
00:07:47:20
00:07:47:20
00:07:47:21
00:07:47:21
00:07:47:32
TO-LEAD1A führen
00:07:47:32
00:07:47:44
00:07:47:44
00:07:48:06
AND2A
00:07:48:06
00:07:48:27
00:07:48:27
00:07:49:08
MIDDLE2B mitte
00:07:49:08
00:07:49:16
00:07:49:16
00:07:50:38
SOLDIER2* roland
00:07:50:38
00:07:50:46
00:07:50:46
00:07:51:02
$LIST1:2of2d
00:07:51:02
00:07:51:17
00:07:51:17
00:07:51:49
SPIKY2A^ dom
00:07:51:49
00:07:52:05
00:07:52:05
00:07:52:23
$INDEX1*
00:07:52:23
00:07:52:34
00:07:52:34
00:07:52:43
$LIST1:2of2d
00:07:52:43
00:07:53:01
00:07:53:01
00:07:53:10
$LIST1:3of3d
00:07:53:10
00:07:53:17
00:07:53:17
00:07:53:25
CITY2 stadtmusikanten
00:07:53:25
00:07:53:36
00:07:53:36
00:07:54:01
MUSIC1*
00:07:54:01
00:07:54:07
The “Böttcherstraße” [Cooper Street] with the golden sword at its entrance, the “Ratskeller” [council wine cellar], and of course the “Schnoor”.
00:07:54:07
00:07:54:15
$LIST1:4of4d
00:07:54:15
00:07:54:28
00:07:54:28
00:07:54:39
$INIT-STRAIGHT1^* böttcherstraße
00:07:54:39
00:07:55:04
00:07:55:04
00:07:55:22
STREET1
00:07:55:22
00:07:55:29
00:07:55:29
00:07:55:34
$INDEX1STREET1*
00:07:55:34
00:07:55:39
00:07:55:39
00:07:55:47
GOLD5* gold
00:07:55:47
00:07:56:06
00:07:56:06
00:07:56:35
TO-BEAT1^*
00:07:56:35
00:07:56:43
00:07:56:43
00:07:57:19
$INDEX1
00:07:57:19
00:07:58:02
00:07:58:02
00:07:58:07
$INDEX1
00:07:58:07
00:07:58:19
00:07:58:19
00:07:58:25
COUNCIL1* ratskeller
00:07:58:25
00:07:58:35
00:07:58:35
00:07:59:07
UNDER1A^*
00:07:59:07
00:07:59:18
00:07:59:18
00:07:59:25
I1
00:07:59:25
00:07:59:32
00:07:59:32
00:07:59:40
COUNCIL1* ratskeller
00:07:59:40
00:08:00:01
00:08:00:01
00:08:00:10
UNDER1A^*
00:08:00:10
00:08:00:18
00:08:00:18
00:08:01:21
$ALPHA1:SCH-N-OO-R schnoor
00:08:01:21
00:08:01:25
00:08:01:25
00:08:01:32
It is really beautiful there.
00:08:01:32
00:08:02:00
TO-FIND-STH-SUPER2
00:08:02:00
00:08:02:04
00:08:02:04
00:08:02:14
Too bad that it is so tiny.
00:08:02:14
00:08:02:30
TOO-BAD1* schade
00:08:02:30
00:08:02:35
00:08:02:35
00:08:02:38
SMALL11* [MG]
00:08:02:38
00:08:02:45
00:08:02:45
00:08:03:02
ONLY2A nur
00:08:03:02
00:08:03:12
00:08:03:12
00:08:03:28
SMALL11 klein
00:08:03:28
00:08:03:33
00:08:03:33
00:08:03:40
But apart from that, those small alleys are great.
00:08:03:40
00:08:03:48
$INDEX1*
00:08:03:48
00:08:04:07
00:08:04:07
00:08:04:25
WAY3*$PROD* straße
00:08:04:25
00:08:04:31
00:08:04:31
00:08:05:12
$ALPHA1:SCH-N-OO-R schnoor
00:08:05:12
00:08:05:24
00:08:05:24
00:08:05:32
SPECIAL-OR-PARTICULARLY1A* [MG]
00:08:05:32
00:08:05:34
00:08:05:34
00:08:05:43
The coffee shops are really good.
00:08:05:43
00:08:06:01
COFFEE2A café
00:08:06:01
00:08:06:07
00:08:06:07
00:08:06:12
TO-SIT1A sitz
00:08:06:12
00:08:06:21
00:08:06:21
00:08:06:32
INTO2
00:08:06:32
00:08:06:37
00:08:06:37
00:08:06:49
TO-RECOMMEND1A empfehl
00:08:06:49
00:08:07:16
00:08:07:16
00:08:07:20
The houses look beautiful from the outside, as well.
00:08:07:20
00:08:08:04
INTO2*
00:08:08:04
00:08:08:14
00:08:08:14
00:08:08:27
OUTDOORS1A au{ßen}
00:08:08:27
00:08:08:36
00:08:08:36
00:08:08:42
TO-LOOK1*
00:08:08:42
00:08:09:00
00:08:09:00
00:08:09:07
BEAUTIFUL1A
00:08:09:07
00:08:09:15
But indoors the ceiling is quite low, and the houses are a bit crooked and full of nooks and crannies.
00:08:09:15
00:08:09:32
INTO2
00:08:09:32
00:08:09:38
00:08:09:38
00:08:09:45
BEAUTIFUL1A* sch{ön}
00:08:09:45
00:08:10:12
00:08:10:12
00:08:10:39
MEASURE8A^ klein
00:08:10:39
00:08:12:03
00:08:12:03
00:08:13:07
$PROD* form
00:08:13:07
00:08:13:15
00:08:13:15
00:08:13:44
$PROD* schief
00:08:13:44
00:08:14:12
00:08:14:12
00:08:14:16
That's what it looked like in the past.
00:08:14:16
00:08:14:23
OLD5A* alt
00:08:14:23
00:08:14:34
00:08:14:34
00:08:14:39
TIME5A* zeit
00:08:14:39
00:08:15:03
00:08:15:03
00:08:15:37
$PROD* schief
00:08:15:37
00:08:15:47
00:08:15:47
00:08:16:15
The “Schnoor” is very lovely.
00:08:16:15
00:08:16:22
BEAUTIFUL1A schö{n}
00:08:16:22
00:08:16:29
00:08:16:29
00:08:17:12
$ALPHA1:SCH-N-OO-R schnoor
00:08:17:12
00:08:17:43
00:08:17:43
00:08:17:47
And the “Bürgerpark”.
00:08:17:47
00:08:18:00
AND5*
00:08:18:00
00:08:18:06
00:08:18:06
00:08:18:16
CITIZEN1 bürgerpark
00:08:18:16
00:08:18:25
00:08:18:25
00:08:18:35
PLANE1^
00:08:18:35
00:08:18:43
00:08:18:43
00:08:19:02
$INDEX1
00:08:19:02
00:08:19:05
00:08:19:05
00:08:19:14
You can take wonderful walks in the “Bürgerpark”.
00:08:19:14
00:08:19:20
BEAUTIFUL1A sch{ön}
00:08:19:20
00:08:19:30
00:08:19:30
00:08:20:03
TO-GO2^* spazieren
00:08:20:03
00:08:20:18
00:08:20:18
00:08:20:27
CITIZEN1* bürgerpark
00:08:20:27
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00:08:20:36
00:08:21:09
PARK1A*
00:08:21:09
00:08:21:17
00:08:21:17
00:08:21:23
$GEST-OFF^*
00:08:21:23
00:08:21:33
00:08:21:33
00:08:25:06
00:08:25:06
00:08:25:16
I recommend the “Blockland” to anyone who enjoys biking in the environs.
00:08:25:16
00:08:25:21
ALSO1A*
00:08:25:21
00:08:25:37
00:08:25:37
00:08:26:05
CURVE1* umland
00:08:26:05
00:08:26:23
00:08:26:23
00:08:26:32
WITH1A mit
00:08:26:32
00:08:26:38
00:08:26:38
00:08:26:46
WHO6 wer
00:08:26:46
00:08:26:48
00:08:26:48
00:08:27:04
WITH1A mit
00:08:27:04
00:08:27:07
00:08:27:07
00:08:27:27
BICYCLE1* fahrrad
00:08:27:27
00:08:27:32
00:08:27:32
00:08:27:42
TO-RECOMMEND1A empfehl
00:08:27:42
00:08:28:01
00:08:28:01
00:08:28:10
TO-THROW1^* blockland
00:08:28:10
00:08:28:18
00:08:28:18
00:08:28:36
COUNTRY3B*
00:08:28:36
00:08:28:41
00:08:28:41
00:08:28:48
No, “Blockland” is signed differently.
00:08:28:48
00:08:29:11
BLOCK-THEME4 block
00:08:29:11
00:08:29:17
00:08:29:17
00:08:29:26
WRONG1 [MG]
00:08:29:26
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00:08:29:37
I1
00:08:29:37
00:08:29:44
00:08:29:44
00:08:30:06
TO-SLIDE-OR-TO-PUSH2^ blockland
00:08:30:06
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00:08:30:14
00:08:30:19
COUNTRY3B*
00:08:30:19
00:08:30:20
00:08:30:20
00:08:30:26
But it is great for biking.
00:08:30:26
00:08:30:45
$INDEX1*
00:08:30:45
00:08:30:49
00:08:30:49
00:08:31:03
BEAUTIFUL1B sch{ön}
00:08:31:03
00:08:31:08
00:08:31:08
00:08:31:24
BICYCLE1* fahrrad
00:08:31:24
00:08:31:32
00:08:31:32
00:08:31:35
There you can bike along the Weser, wait no, along the Wümme northwards from Bremen-Horn all the way to Ritterhude.
00:08:31:35
00:08:32:02
FROM-OR-BY-OR-OF2* von
00:08:32:02
00:08:32:22
00:08:32:22
00:08:32:35
HORNS1A* horn
00:08:32:35
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00:08:33:01
00:08:33:13
UNTIL1* bis
00:08:33:13
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00:08:33:21
00:08:33:31
$CUED-SPEECH* ritterhude
00:08:33:31
00:08:33:41
00:08:33:41
00:08:34:03
DOG3^*
00:08:34:03
00:08:34:16
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FAR1
00:08:34:36
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$PROD*
00:08:35:36
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00:08:35:43
00:08:35:49
VERY7^* [MG]
00:08:35:49
00:08:36:02
00:08:36:02
00:08:36:08
EXHAUSTING5
00:08:36:08
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00:08:36:17
00:08:37:01
RIVER1* weser
00:08:37:01
00:08:37:10
00:08:37:10
00:08:37:42
$ALPHA1:W-U-NN-E wümme
00:08:37:42
00:08:37:49
00:08:37:49
00:08:39:29
$PROD*
00:08:39:29
00:08:39:40
00:08:39:40
00:08:40:41
$PROD*
00:08:40:41
00:08:40:49
00:08:40:49
00:08:41:02
It is great.
00:08:41:02
00:08:41:13
BEAUTIFUL3 schön
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00:08:41:25
00:08:41:25
00:08:42:31
00:08:42:31
00:08:42:36
If they were staying longer, I would recommend Bremerhaven, as well.
00:08:42:36
00:08:42:44
MAYBE1* [MG]
00:08:42:44
00:08:43:05
00:08:43:05
00:08:43:09
IF-OR-WHEN1A wenn
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LONG-TIME4A* la{nge}
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FULL2B voll
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LONG-TIME4A lang
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TO-STAY2 bleib
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I1
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TO-RECOMMEND1A em{pfehlung}
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TO-LEAD1A fü{hrung}
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THERE1*
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BREMEN1* bremerhaven
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HARBOUR2
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WHAT1A
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They have built the new “Klimahaus” [lit. climate house] there.
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NOW3* je{tzt}
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NEW1A
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SUPER3* [MG]
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$INDEX1
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MUSEUM1*
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CLIMATE1 klimahaus
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HOUSE1B
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$GEST^
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The “Klimahaus”, the German Maritime Museum with several ships, and the “Zoo am Meer” [Zoo next to the sea]. CLIMATE1 klimahaus
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HOUSE1B
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$LIST1:2of2d
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GERMAN1*$NUM-ONE-TO-TEN1A:2d deutsch
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SHIP1 schiff{fahrts}museum
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MUSEUM1$NUM-ONE-TO-TEN1A:2d
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$LIST1:3of3d
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OR1*
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DIFFERENCE1B unter{schied}
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SHIP1 schiff
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$ALPHA1:Z-O zoo
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ON-OR-AT1 am
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OCEAN1B* meer
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$GEST^
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What about this American house?
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America?
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AMERICA1*
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Oh yes, the German Emigration Center.
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YES2 [MG]
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TO-HIKE1* auswanderermuseum
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MUSEUM1
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$GEST^
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The German Emigration Center is an amazing museum.
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GREAT1A [MG]
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TO-HIKE1* auswanderermuseum
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MUSEUM1
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GREAT1A [MG]
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TO-HIKE1* auswanderermuseum
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MUSEUM1
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It is really to be recommended.
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TO-RECOMMEND1A empfehlen
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You can learn a lot of interesting things about history there.
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INTEREST1A [MG]
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HISTORY-OR-STORY3* geschichte
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INTEREST1A [MG]
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The “Zoo am Meer” - we talked about that one, and the “Klimahaus” is great, as well.
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I1
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$ALPHA1:Z-O zo{o}
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ON-OR-AT1* am
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OCEAN1B* meer
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NEW1A neu
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CLIMATE1* klimahaus
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HOUSE1B
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MUSEUM1* [MG]
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GREAT1A [MG]
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The idea of the “Klimahaus“, I think, is a journey along the fifth longitude/
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SUBJECT1 thema
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$NUM-ONE-TO-TEN1A:5 fünf
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DEGREE1B*
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HOW-MUCH5* wie viel
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Wait, am I stupid?
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DUMB1B* [MG]
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I1
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I think it was the fifth longitude, starting the journey on this longitude in Bremerhaven and continuing it around the world through its climatic zones.
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$NUM-ONE-TO-TEN1A:5 fünf
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DEGREE1A*
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$PROD*
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SUBJECT1 thema
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CLIMATE1* klimahaus
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HOUSE1B*
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$INDEX1*
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WORLD2*
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BREMEN1* bremerhaven
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$INDEX1*
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$PROD*
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CLIMATE1* klima
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DIFFERENCE1B* untersch{iedlich}
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CIRCLE2*
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It is interesting.
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INTEREST1A [MG]
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What else?
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GOOD1 gut
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$INDEX1
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MORE1 mehr
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Are there any famous companies in Bremen?
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Sure, a famous company is Airbus - a company of Mercedes, Jacobs /
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COMPANY1B firma
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$LIST1:1of1
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AIRPORT2* airbus
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$LIST1:2of2d
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MERCEDES1* mercedes
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FACTORY6* fabrik
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$LIST1:3of3d
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$ALPHA1:J-A-C-O-B-S jacobs
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What? Beck's.
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$INDEX1 $ALPHA1:B-#-K beck
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Beck's is there, too. I 've already mentioned Jacobs.
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BEER1 becks
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$INDEX1
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FACTORY6* fabrik
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RIGHT-OR-AGREED1A
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$LIST1:4of4d
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$ALPHA1:J-O-S jacobs
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$LIST1:4of4d
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$LIST1:5of5*
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$GEST^
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The Astrium, and the drop tower research of the University of Bremen. It is about weight and pressure.
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$ALPHA1:A-S-T-R-I-U-M astrium
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ROCKET1B^ apollo
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$ALPHA1:N-A-S-A* nasa
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TOGETHER3A zusamm
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TO-WORK1* arbeit
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$LIST1:2of2d*
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$INDEX1
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CASE-OR-PLUNGE1A fallturm
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TOWER1
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$INDEX4
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RESEARCH1A forsch
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WEIGHT2* gewicht
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PRESSURE1A druck
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$INDEX4
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UNIVERSITY1 uni
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$INDEX1
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What other companies are there?
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$LIST1:2of2d
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COMPANY1B* firma
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$GEST^
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OHB, they are concerned with astronautics, as well. They get bigger and bigger, they even take orders from Astrium.
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$ALPHA1:O-H-B o-h-b
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ALSO1A auch
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ABOVE1^ raumschiff
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$INDEX1
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$ALPHA1:O-H-B* o-h-b
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MORE3 mehr mehr mehr
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TO-LINK1B^* zusammen
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TO-WORK1 arbeit
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YES2
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ASSIGNMENT1B auftrag
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BACK-AND-FORTH1*
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Nothing is left concerning shipbuilding - all dockyards are bankrupt.
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$LIST1:1of1d
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$GEST^
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SHIP1 schiff
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WHAT1A^
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BROKEN4 [MG]
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OVER1
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SHIP1* schiff
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$ALPHA1:U-L-E* vulkan
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BROKEN4 [MG]
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OVER1
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Mmh.
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$GEST^ [MG]
00:10:05:48
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00:10:06:17
Another big company is Mercedes. BIG3B*
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COMPANY1A*
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MERCEDES1 merce{des}
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00:10:07:03
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Let me think. $GEST-TO-PONDER1^
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There are other well-known companies.
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FAMOUS1A be{rühmt}
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COMPANY1B* firma
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PRESENT-OR-HERE1 da da
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$GEST-OFF^*
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Mhh, I cannot remember any, but there are other famous companies.
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$GEST-TO-PONDER3^*
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TO-KNOW-OR-KNOWLEDGE2B*
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NOTHING1A*
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FAMOUS1A* berühmt
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COMPANY1B* f{irma}
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PRESENT-OR-HERE1
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Big and small ones. Kraft, it’s Kraft.
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BIG3A groß
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FORCE2B kraft
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SMALL11 klein
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$ALPHA1:K-R-A-F-T
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FORCE2B kraft
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Kraft.
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FORCE2A kraft
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$ALPHA1:K-R-A-F-T kraft
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Their place of business is right downtown of Bremen.
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$ALPHA1:K*
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CENTRE1A zen{trum}
00:10:22:36
00:10:23:02
00:10:23:02
00:10:23:10
BREMEN1* bremen
00:10:23:10
00:10:23:13
00:10:23:13
00:10:23:21
I1
00:10:23:21
00:10:23:27
00:10:23:27
00:10:23:35
TO-KNOW-OR-KNOWLEDGE2B*
00:10:23:35
00:10:23:38
00:10:23:38
00:10:23:45
NOT6*
00:10:23:45
00:10:23:49
00:10:23:49
00:10:24:12
RIGHT-OR-AGREED1B stimmt
00:10:24:12
00:10:24:18
00:10:24:18
00:10:24:36
Yes right, I can remember the building with its logo.
00:10:24:36
00:10:24:48
TOWER1 They produce Milka chocolate, or something like that.
00:10:24:48
00:10:25:11
CHOCOLATE2 schoko
00:10:25:11
00:10:25:19
COMPANY1A
00:10:25:19
00:10:25:23
00:10:25:23
00:10:25:30
TOGETHER3A^* milka
00:10:25:30
00:10:25:33
YES2
00:10:25:33
00:10:25:40
00:10:25:40
00:10:26:04
CHOCOLATE2*
00:10:26:04
00:10:26:13
00:10:26:13
00:10:26:17
00:10:26:17
00:10:26:20
They belong to Jacobs.
00:10:26:20
00:10:26:28
$LIST1:2of2d*
00:10:26:28
00:10:26:30
00:10:26:30
00:10:26:34
TOGETHER1A* zusammen zusammen
00:10:26:34
00:10:27:03
TO-EAT-OR-FOOD2*
00:10:27:03
00:10:27:08
00:10:27:08
00:10:27:13
TO-LIST1A*
00:10:27:13
00:10:27:21
YES2
00:10:27:21
00:10:27:25
00:10:27:25
00:10:27:33
$ALPHA1:J_2 jacobs
00:10:27:33
00:10:27:41
YES1A*
00:10:27:41
00:10:28:01
00:10:28:01
00:10:28:17
$ALPHA1:J-C-O-#-S j-a-c-o-b-s
00:10:28:17
00:10:28:39
No, there is the Jacobs coffee, and there is Kraft. They are separate companies.
00:10:28:39
00:10:28:43
00:10:28:43
00:10:29:00
TO-BELONG1^* jacob's kaffee
00:10:29:00
00:10:29:05
Jacobs and Milka belong to Kraft.
00:10:29:05
00:10:29:16
$NUM-ONE-TO-TEN1A^* jacobs kaffee
00:10:29:16
00:10:29:23
00:10:29:23
00:10:29:35
COFFEE2A
00:10:29:35
00:10:29:36
00:10:29:36
00:10:30:14
LOCATION1B^*
00:10:30:14
00:10:30:22
COFFEE2A
00:10:30:22
00:10:30:26
00:10:30:26
00:10:30:33
ANOTHER2 nochein
00:10:30:33
00:10:30:36
$INDEX1
00:10:30:36
00:10:30:43
00:10:30:43
00:10:31:00
FORCE2B* kraft
00:10:31:00
00:10:31:07
00:10:31:07
00:10:31:23
LOCATION1B^*
00:10:31:23
00:10:31:31
00:10:31:31
00:10:31:34
$ALPHA1:J_2 jacobs
00:10:31:34
00:10:31:39
ANOTHER2 nochein
00:10:31:39
00:10:31:41
00:10:31:41
00:10:31:44
00:10:31:44
00:10:31:48
LOCATION1B^*
00:10:31:48
00:10:32:02
TO-BELONG1^
00:10:32:02
00:10:32:08
00:10:32:08
00:10:32:12
CHOCOLATE2*
00:10:32:12
00:10:32:22
00:10:32:22
00:10:32:37
$NAME* milka-schokolade
00:10:32:37
00:10:32:41
00:10:32:41
00:10:33:07
CHOCOLATE2
00:10:33:07
00:10:33:13
00:10:33:13
00:10:33:21
TO-BELONG1^
00:10:33:21
00:10:33:38
00:10:33:38
00:10:34:23
FORCE2B
00:10:34:23
00:10:34:39
Jacobs does not have any chocolate?
00:10:34:39
00:10:34:44
$GEST^
00:10:34:44
00:10:35:06
00:10:35:06
00:10:35:13
$INDEX1
00:10:35:13
00:10:35:20
00:10:35:20
00:10:35:28
00:10:35:28
00:10:35:38
$ALPHA1:J_2 jacobs
00:10:35:38
00:10:35:45
00:10:35:45
00:10:36:01
ALSO1A auch
00:10:36:01
00:10:36:09
00:10:36:09
00:10:37:18
CHOCOLATE2 schokolade
00:10:37:18
00:10:37:21
There is something written on it. But it must be something else.
00:10:37:21
00:10:37:24
$ALPHA1:M-I mil{ka}
00:10:37:24
00:10:37:28
DIFFERENT1* anders
00:10:37:28
00:10:37:30
00:10:37:30
00:10:37:35
00:10:37:35
00:10:38:20
TO-BELONG1^*
00:10:38:20
00:10:38:30
$PROD*
00:10:38:30
00:10:39:01
Hachez!
00:10:39:01
00:10:39:11
00:10:39:11
00:10:39:38
00:10:39:38
00:10:39:49
Right, Hachez is a chocolate company here in Bremen. It is located in the new town.
00:10:39:49
00:10:40:15
$GEST^
00:10:40:15
00:10:40:17
00:10:40:17
00:10:40:20
OWN1B$INDEX1 [MG]
00:10:40:20
00:10:40:36
00:10:40:36
00:10:40:47
BREMEN1 bremen
00:10:40:47
00:10:41:01
00:10:41:01
00:10:41:08
CHOCOLATE2 schokolade
00:10:41:08
00:10:41:16
00:10:41:16
00:10:42:23
$ALPHA1:H-A-#-Z hachez
00:10:42:23
00:10:42:32
00:10:42:32
00:10:43:00
$INDEX1
00:10:43:00
00:10:43:12
00:10:43:12
00:10:43:15
OWN1B* eigen
00:10:43:15
00:10:43:20
00:10:43:20
00:10:43:29
00:10:43:29
00:10:43:38
BREMEN1* bremen
00:10:43:38
00:10:43:39
00:10:43:39
00:10:44:04
$PROD*
00:10:44:04
00:10:44:23
00:10:44:23
00:10:44:28
$ALPHA1:H$PROD* hachez
00:10:44:28
00:10:44:48
00:10:44:48
00:10:45:11
$INDEX1
00:10:45:11
00:10:45:24
00:10:45:24
00:10:45:28
NEW1A neustadt
00:10:45:28
00:10:45:35
00:10:45:35
00:10:45:42
CITY2
00:10:45:42
00:10:45:43
00:10:45:43
00:10:45:47
They produce typical chocolate from Bremen.
00:10:45:47
00:10:46:06
$INDEX1
00:10:46:06
00:10:46:21
00:10:46:21
00:10:46:27
OWN1B eigen
00:10:46:27
00:10:46:37
00:10:46:37
00:10:47:00
TO-MIX4^ produkt
00:10:47:00
00:10:47:10
00:10:47:10
00:10:47:26
BREMEN1 bremen
00:10:47:26
00:10:47:35
00:10:47:35
00:10:48:04
CHOCOLATE2 schokolade
00:10:48:04
00:10:48:06
00:10:48:06
00:10:48:13
And Milka belongs to Jacobs.
00:10:48:13
00:10:48:19
TO-SAY1
00:10:48:19
00:10:48:23
00:10:48:23
00:10:48:28
DIFFERENT1 an{dere}
00:10:48:28
00:10:48:35
00:10:48:35
00:10:49:11
$ALPHA1:M-I-L-K-A milka
00:10:49:11
00:10:49:17
00:10:49:17
00:10:49:20
TO-BELONG1^
00:10:49:20
00:10:49:24
00:10:49:24
00:10:49:41
$ALPHA1:J_2 jacobs
00:10:49:41
00:10:50:03
00:10:50:03
00:10:50:12
TO-BELONG1^
00:10:50:12
00:10:50:43
00:10:50:43
00:10:51:19
That's how it is, right.
00:10:51:19
00:10:51:33
$INDEX1*
00:10:51:33
00:10:51:45
00:10:51:45
00:10:52:02
$INDEX1*
00:10:52:02
00:10:52:31
00:10:52:31
00:10:53:44
Awesome.
00:10:53:44
00:10:55:20
00:10:55:20
00:10:57:00
Can you talk about your home now?
00:10:57:00
00:10:57:13
Yes, Osnabrück.
00:10:57:13
00:10:57:43
YES2
00:10:57:43
00:10:58:00
00:10:58:00
00:10:58:47
OSNABRÜCK1* osnabrück
00:10:58:47
00:10:59:01
00:10:59:01
00:10:59:31
Well, let's hear it.
00:10:59:31
00:11:01:23
00:11:01:23
00:11:01:36
I have lived in Bremen for the last ten years, and I am quite rooted in.
00:11:01:36
00:11:01:44
HERE1 hier
00:11:01:44
00:11:02:29
00:11:02:29
00:11:02:45
ALREADY1A schon
00:11:02:45
00:11:03:07
00:11:03:07
00:11:03:13
I1*
00:11:03:13
00:11:03:18
00:11:03:18
00:11:03:30
BREMEN1 bremen
00:11:03:30
00:11:03:38
00:11:03:38
00:11:04:19
YEAR1A* zehn jahre
00:11:04:19
00:11:04:37
00:11:04:37
00:11:05:24
ROOT1B* wurzel
00:11:05:24
00:11:05:34
00:11:05:34
00:11:06:02
SOLID1 [MG]
00:11:06:02
00:11:06:17
00:11:06:17
00:11:06:38
I was born and raised in Georgsmarienhütte near Osnabrück.
00:11:06:38
00:11:06:49
ROUND-THE-CORNER2^* um
00:11:06:49
00:11:07:04
00:11:07:04
00:11:07:11
I1
00:11:07:11
00:11:07:20
00:11:07:20
00:11:07:36
BIRTH1A [MG]
00:11:07:36
00:11:07:43
00:11:07:43
00:11:07:48
REALLY2*
00:11:07:48
00:11:08:05
00:11:08:05
00:11:08:17
OSNABRÜCK1 osnabrück
00:11:08:17
00:11:08:26
00:11:08:26
00:11:08:31
CLOSE-BY1B [MG]
00:11:08:31
00:11:08:33
00:11:08:33
00:11:09:08
LOCATION3* [MG]
00:11:09:08
00:11:09:19
00:11:09:19
00:11:09:43
$NAME georgsmarienhütte
00:11:09:43
00:11:10:21
00:11:10:21
00:11:10:25
BIRTH1A* aufgewachsen
00:11:10:25
00:11:10:32
00:11:10:32
00:11:11:11
TO-GROW-UP1A
00:11:11:11
00:11:11:14
The landscape is quite interesting.
00:11:11:14
00:11:11:37
$GEST^
00:11:11:37
00:11:11:43
00:11:11:43
00:11:12:02
WHAT-DOES-IT-LOOK-LIKE1* wie sie{ht es} aus
00:11:12:02
00:11:12:10
00:11:12:10
00:11:12:14
HOW-QUESTION-COMPARISON1* wie
00:11:12:14
00:11:12:22
00:11:12:22
00:11:13:07
AREA1A [MG]
00:11:13:07
00:11:13:20
00:11:13:20
00:11:13:33
INTEREST1A* interessant
00:11:13:33
00:11:13:41
00:11:13:41
00:11:14:30
LANDSCAPE1* landschaft
00:11:14:30
00:11:14:35
It is really hilly, and the landscape has a lightness to it.
00:11:14:35
00:11:16:22
$PROD* [MG]
00:11:16:22
00:11:16:33
00:11:16:33
00:11:18:17
EASY-OR-LIGHT1 leicht
00:11:18:17
00:11:18:23
00:11:18:23
00:11:18:27
The area to the north of Osnabrück is called “Wiehengebirge”, and to the south the “Teutoburger Wald” is located.
00:11:18:27
00:11:18:49
FROM-OR-BY-OR-OF2*
00:11:18:49
00:11:19:09
00:11:19:09
00:11:19:23
NORTH1B nord
00:11:19:23
00:11:19:32
00:11:19:32
00:11:19:44
NAME1A name
00:11:19:44
00:11:19:49
00:11:19:49
00:11:20:43
$ALPHA1:W-I-E-N* wiehengebirge
00:11:20:43
00:11:21:20
MOUNTAINS1*
00:11:21:20
00:11:21:44
00:11:21:44
00:11:22:08
SOUTH1B süd
00:11:22:08
00:11:22:42
00:11:22:42
00:11:23:05
$ALPHA1:T teutoburger wald
00:11:23:05
00:11:23:08
00:11:23:08
00:11:23:25
TREE2B
00:11:23:25
00:11:23:37
00:11:23:37
00:11:24:21
$PROD*
00:11:24:21
00:11:24:27
Osnabrück is located in a valley in between those two areas.
00:11:24:27
00:11:24:47
$PROD* zwischen
00:11:24:47
00:11:25:01
00:11:25:01
00:11:25:16
OSNABRÜCK1* osnabrück
00:11:25:16
00:11:25:26
00:11:25:26
00:11:25:38
COUNTRY2* land
00:11:25:38
00:11:26:07
00:11:26:07
00:11:27:06
VALLEY1* tal
00:11:27:06
00:11:27:12
00:11:27:12
00:11:27:30
OSNABRÜCK1* osnabrück
00:11:27:30
00:11:27:36
00:11:27:36
00:11:27:46
The landscape is really beautiful.
00:11:27:46
00:11:28:03
BEAUTIFUL1A schö{n}
00:11:28:03
00:11:28:10
00:11:28:10
00:11:28:36
LANDSCAPE1* landschaft
00:11:28:36
00:11:28:42
Especially during summer and fall, when the forest looks beautiful.
00:11:28:42
00:11:29:04
SPECIAL-OR-PARTICULARLY1A besonders
00:11:29:04
00:11:29:08
00:11:29:08
00:11:29:13
IN1 im
00:11:29:13
00:11:29:23
00:11:29:23
00:11:30:03
SUMMER9 sommer
00:11:30:03
00:11:30:27
00:11:30:27
00:11:30:42
AUTUMN1A herbst
00:11:30:42
00:11:31:22
00:11:31:22
00:11:31:30
SPECIAL-OR-PARTICULARLY1A besonders
00:11:31:30
00:11:31:38
00:11:31:38
00:11:32:25
$PROD* wald
00:11:32:25
00:11:32:46
00:11:32:46
00:11:33:04
BEAUTIFUL1A schön
00:11:33:04
00:11:33:10
00:11:33:10
00:11:33:19
$PROD* wald
00:11:33:19
00:11:33:29
You can take wonderful walks there, go hiking or biking.
00:11:33:29
00:11:33:40
TO-GO-FOR-A-WALK2B*
00:11:33:40
00:11:33:45
00:11:33:45
00:11:34:13
TO-HIKE2* wandern
00:11:34:13
00:11:34:19
00:11:34:19
00:11:34:28
SUPER2* [MG]
00:11:34:28
00:11:34:41
00:11:34:41
00:11:35:26
TO-STEP-PEDAL3^ mountainbike
00:11:35:26
00:11:35:31
00:11:35:31
00:11:35:39
$PROD*
00:11:35:39
00:11:36:08
00:11:36:08
00:11:36:30
SUPER2* [MG]
00:11:36:30
00:11:36:42
It is nice to cruise around the region of Osnabrück with a motorcycle, because of the surrounding landscape and the winding roads.
00:11:36:42
00:11:37:07
MOTORCYCLE1A* motorradtour
00:11:37:07
00:11:37:16
00:11:37:16
00:11:38:03
JOURNEY1C^
00:11:38:03
00:11:38:18
00:11:38:18
00:11:38:38
$INDEX1*
00:11:38:38
00:11:38:44
00:11:38:44
00:11:39:09
OSNABRÜCK1* os{nabrück}
00:11:39:09
00:11:39:16
00:11:39:16
00:11:39:24
$GEST^
00:11:39:24
00:11:39:31
00:11:39:31
00:11:40:03
$INDEX1
00:11:40:03
00:11:40:06
00:11:40:06
00:11:40:11
OSNABRÜCK1*
00:11:40:11
00:11:40:14
00:11:40:14
00:11:40:20
$GEST^
00:11:40:20
00:11:40:27
00:11:40:27
00:11:41:29
$INDEX1* landkreis
00:11:41:29
00:11:41:37
MOTORCYCLE1A* motorradtour
00:11:41:37
00:11:41:44
00:11:41:44
00:11:41:49
JOURNEY1B^
00:11:41:49
00:11:42:06
00:11:42:06
00:11:42:32
SUPER2$INDEX1* [MG]
00:11:42:32
00:11:42:48
00:11:42:48
00:11:43:25
$PROD* kurven
00:11:43:25
00:11:43:38
00:11:43:38
00:11:44:06
BEAUTIFUL1A schön
00:11:44:06
00:11:44:25
00:11:44:25
00:11:47:07
00:11:47:07
00:11:48:05
There is a landmark of the Roman Age in Detmold. $GEST^
00:11:48:05
00:11:48:17
00:11:48:17
00:11:48:22
PAST-OR-BACK-THEN2*
00:11:48:22
00:11:48:33
00:11:48:33
00:11:48:47
TIME5A* zeit
00:11:48:47
00:11:49:02
00:11:49:02
00:11:49:44
ROME1 römer
00:11:49:44
00:11:50:08
00:11:50:08
00:11:50:16
TO-SEE1 sehenswürdigkeiten
00:11:50:16
00:11:50:18
00:11:50:18
00:11:50:45
$ALPHA1:W
00:11:50:45
00:11:51:04
00:11:51:04
00:11:51:05
$INDEX1
00:11:51:05
00:11:51:10
00:11:51:10
00:11:51:21
WHERE1A wo
00:11:51:21
00:11:51:42
00:11:51:42
00:11:52:35
DETMOLD-$CANDIDATE-HB18^ detmold
00:11:52:35
00:11:53:01
00:11:53:01
00:11:53:30
$INDEX1
00:11:53:30
00:11:53:34
Well, it is not directly located in the village.
00:11:53:34
00:11:53:39
REALLY2*
00:11:53:39
00:11:54:00
00:11:54:00
00:11:54:09
LOCATION3* ort
00:11:54:09
00:11:54:15
00:11:54:15
00:11:54:19
RIGHT-OR-CORRECT1B*
00:11:54:19
00:11:54:29
00:11:54:29
00:11:54:44
$INDEX1
00:11:54:44
00:11:55:34
NO1A*
00:11:55:34
00:11:55:36
00:11:55:36
00:11:55:46
They discovered some remains of the Roman Age while doing some archeological excavations.
00:11:55:46
00:11:56:06
TO-FIND1B* gefunden
00:11:56:06
00:11:56:14
00:11:56:14
00:11:56:28
RESEARCH1A* forsch
00:11:56:28
00:11:56:35
00:11:56:35
00:11:57:30
$INDEX1* [MG]
00:11:57:30
00:11:57:33
00:11:57:33
00:11:57:44
Most of the finds are located north-west of Bramsche.
00:11:57:44
00:11:58:14
CLOSE-BY1B* [MG]
00:11:58:14
00:11:58:39
00:11:58:39
00:11:58:43
OSNABRÜCK1*$INDEX1 osnabrück
00:11:58:43
00:11:58:46
00:11:58:46
00:11:58:49
TO-KNOW-OR-KNOWLEDGE2B
00:11:58:49
00:11:59:10
00:11:59:10
00:11:59:13
$ALPHA1:R
00:11:59:13
00:11:59:26
00:11:59:26
00:11:59:35
$CUED-SPEECH*$PROD* bramsche
00:11:59:35
00:11:59:40
00:11:59:40
00:12:00:23
$PROD*
00:12:00:23
00:12:00:30
00:12:00:30
00:12:01:02
$INDEX1
00:12:01:02
00:12:01:03
00:12:01:03
00:12:01:19
They actually found a lot of different fragments from the Romans.
00:12:01:19
00:12:01:25
REALLY2 [MG]
00:12:01:25
00:12:01:31
00:12:01:31
00:12:01:35
MUCH-OR-MANY1A* viel
00:12:01:35
00:12:01:43
00:12:01:43
00:12:02:14
TO-FIND1B* gefunden
00:12:02:14
00:12:02:25
00:12:02:25
00:12:02:36
PART1A teil
00:12:02:36
00:12:02:42
00:12:02:42
00:12:03:08
HISTORY-OR-STORY9 geschichte
00:12:03:08
00:12:03:12
00:12:03:12
00:12:03:44
PAST-OR-BACK-THEN1*
00:12:03:44
00:12:04:08
00:12:04:08
00:12:04:40
TO-DIG1D^* römer
00:12:04:40
00:12:05:03
00:12:05:03
00:12:05:24
ROME1 römer
00:12:05:24
00:12:05:28
00:12:05:28
00:12:05:39
You should take a look at it.
00:12:05:39
00:12:06:01
TO-RECOMMEND1C* empfehl
00:12:06:01
00:12:06:06
00:12:06:06
00:12:06:12
ALSO1A* auch
00:12:06:12
00:12:06:21
00:12:06:21
00:12:06:37
TO-SEE1 sehen
00:12:06:37
00:12:06:47
00:12:06:47
00:12:07:13
TO-FIND-STH-SUPER2*$INDEX1 [MG]
00:12:07:13
00:12:07:21
00:12:07:21
00:12:07:28
The museum grows bigger constantly.
00:12:07:28
00:12:07:35
$INDEX1
00:12:07:35
00:12:08:01
00:12:08:01
00:12:08:09
MUSEUM1* museum
00:12:08:09
00:12:08:17
00:12:08:17
00:12:09:23
BIG3A* größer größer größer
00:12:09:23
00:12:09:28
00:12:09:28
00:12:09:33
Even though I haven't seen it myself, either.
00:12:09:33
00:12:09:38
I1 obwohl
00:12:09:38
00:12:09:42
00:12:09:42
00:12:10:00
ALTHOUGH1*
00:12:10:00
00:12:10:06
00:12:10:06
00:12:10:19
SELF1A selbst
00:12:10:19
00:12:10:27
00:12:10:27
00:12:10:37
ALONE1A^ noch nie
00:12:10:37
00:12:10:43
00:12:10:43
00:12:11:12
TO-SEE1 sehen
00:12:11:12
00:12:11:16
00:12:11:16
00:12:11:30
$GEST^
00:12:11:30
00:12:11:36
I am desperate to look at it soon.
00:12:11:36
00:12:11:43
MUST1* muss mal
00:12:11:43
00:12:11:46
00:12:11:46
00:12:12:16
TO-LOOK1 mal schauen
00:12:12:16
00:12:12:29
00:12:12:29
00:12:12:38
$INDEX1
00:12:12:38
00:12:12:49
00:12:12:49
00:12:13:16
TO-FIND-STH-SUPER2* [MG]
00:12:13:16
00:12:13:20
00:12:13:20
00:12:13:32
$GEST^
00:12:13:32
00:12:14:07
00:12:14:07
00:12:14:16
A large company is called “Karmann”.
00:12:14:16
00:12:14:34
BIG3B groß
00:12:14:34
00:12:14:47
00:12:14:47
00:12:15:16
COMPANY1B firma
00:12:15:16
00:12:15:31
00:12:15:31
00:12:15:36
EXAMPLE1* beispiel
00:12:15:36
00:12:15:42
00:12:15:42
00:12:16:15
$ALPHA1:K-A-R* karmann
00:12:16:15
00:12:16:28
00:12:16:28
00:12:16:44
MAN1*
00:12:16:44
00:12:17:29
00:12:17:29
00:12:17:36
VW has taken them over by now.
00:12:17:36
00:12:17:44
NOW1 jetzt
00:12:17:44
00:12:18:33
00:12:18:33
00:12:18:49
$ALPHA1:V-W v-w
00:12:18:49
00:12:19:05
00:12:19:05
00:12:20:17
TO-UNDERTAKE1* [MG]
00:12:20:17
00:12:20:22
00:12:20:22
00:12:20:26
NOW1
00:12:20:26
00:12:20:29
00:12:20:29
00:12:20:42
$ALPHA1:V-W v-w
00:12:20:42
00:12:21:00
00:12:21:00
00:12:21:10
Thankfully, the company is still running.
00:12:21:10
00:12:21:24
$GEST^ [MG]
00:12:21:24
00:12:21:26
00:12:21:26
00:12:21:37
FURTHER1A weiter
00:12:21:37
00:12:21:43
00:12:21:43
00:12:21:49
TO-RUN-MACHINE1* läuft
00:12:21:49
00:12:22:06
00:12:22:06
00:12:22:13
STILL4A noch
00:12:22:13
00:12:22:22
00:12:22:22
00:12:22:29
COMPANY1B firma
00:12:22:29
00:12:22:31
00:12:22:31
00:12:22:39
$ALPHA1:K karmann
00:12:22:39
00:12:22:43
00:12:22:43
00:12:23:01
THERE-IS3*
00:12:23:01
00:12:23:24
00:12:23:24
00:12:23:37
Of course, there is soccer, as well - the VfL Osnabrück.
00:12:23:37
00:12:24:16
$LIST1:2of2d [MG]
00:12:24:16
00:12:24:27
00:12:24:27
00:12:25:03
BROOCH1A^ v-f-l
00:12:25:03
00:12:25:17
00:12:25:17
00:12:25:43
FOOTBALL1A fußball
00:12:25:43
00:12:26:07
00:12:26:07
00:12:26:20
$GEST^
00:12:26:20
00:12:26:32
00:12:26:32
00:12:26:38
What are you talking about?
00:12:26:38
00:12:26:49
00:12:26:49
00:12:27:09
BROOCH1A^
00:12:27:09
00:12:27:19
The VfL.
00:12:27:19
00:12:27:47
$ALPHA1:V-F-L v-f-l
00:12:27:47
00:12:28:07
00:12:28:07
00:12:28:15
00:12:28:15
00:12:28:22
Pah, the third division.
00:12:28:22
00:12:28:32
$GEST-DECLINE1^ FOOTBALL1A fußball
00:12:28:32
00:12:29:02
00:12:29:02
00:12:29:09
$NUM-ORDINAL1:3d dritte
00:12:29:09
00:12:29:10
00:12:29:10
00:12:29:14
00:12:29:14
00:12:29:23
LEAGUE1A* bundesliga
00:12:29:23
00:12:29:31
00:12:29:31
00:12:29:41
$GEST^
00:12:29:41
00:12:30:01
00:12:30:01
00:12:30:14
It doesn't matter, even if they are in the third division.
00:12:30:14
00:12:30:33
$GEST-DECLINE1^ macht nichts
00:12:30:33
00:12:30:39
00:12:30:39
00:12:30:44
$NUM-ORDINAL1:3d* dritte
00:12:30:44
00:12:30:49
00:12:30:49
00:12:31:11
LEAGUE1A* liga
00:12:31:11
00:12:31:23
Nevertheless, I am proud of the VfL.
00:12:31:23
00:12:31:29
PROUD1 stolz
00:12:31:29
00:12:31:42
00:12:31:42
00:12:32:00
I1
00:12:32:00
00:12:32:18
00:12:32:18
00:12:34:32
00:12:34:32
00:12:34:46
The historic city center is really great, as well. Obviously, it is quite small.
00:12:34:46
00:12:35:06
$INDEX1
00:12:35:06
00:12:35:36
00:12:35:36
00:12:35:45
OLD5A altstadt
00:12:35:45
00:12:36:06
00:12:36:06
00:12:36:26
CITY2*
00:12:36:26
00:12:36:32
00:12:36:32
00:12:36:37
ALSO3A auch
00:12:36:37
00:12:36:49
00:12:36:49
00:12:37:18
BEAUTIFUL3* schön
00:12:37:18
00:12:38:03
00:12:38:03
00:12:39:07
SMALL11* klein
00:12:39:07
00:12:39:08
00:12:39:08
00:12:39:13
Even though, it is tiny, there is a lot to be seen.
00:12:39:13
00:12:39:18
ALSO1A* auch
00:12:39:18
00:12:39:23
00:12:39:23
00:12:39:42
SMALL11* klein
00:12:39:42
00:12:40:11
00:12:40:11
00:12:40:24
MUCH-OR-MANY1A* viel
00:12:40:24
00:12:40:31
00:12:40:31
00:12:41:03
TO-SEE1* zu sehen
00:12:41:03
00:12:41:18
00:12:41:18
00:12:41:35
A few special features.
00:12:41:35
00:12:41:44
NOT3A nicht
00:12:41:44
00:12:42:01
00:12:42:01
00:12:42:09
MUCH-OR-MANY1A* viel
00:12:42:09
00:12:42:20
00:12:42:20
00:12:42:36
SPECIAL-OR-PARTICULARLY1A* besonders
00:12:42:36
00:12:42:41
00:12:42:41
00:12:42:47
The town hall is nice.
00:12:42:47
00:12:43:30
$ALPHA1:R rathaus
00:12:43:30
00:12:43:38
00:12:43:38
00:12:44:03
HOUSE1A*
00:12:44:03
00:12:44:17
00:12:44:17
00:12:44:22
BEAUTIFUL1A schö{n}
00:12:44:22
00:12:44:30
00:12:44:30
00:12:45:22
ROUND-BALL1^* groß
00:12:45:22
00:12:45:33
00:12:45:33
00:12:45:37
Three-fourth of Osnabrück were destroyed during World War II.
00:12:45:37
00:12:46:00
OSNABRÜCK1* osnabrück
00:12:46:00
00:12:46:13
00:12:46:13
00:12:46:32
RIGHT-OR-AGREED1^*
00:12:46:32
00:12:46:47
00:12:46:47
00:12:47:07
APPROXIMATELY2* ungefähr
00:12:47:07
00:12:47:17
00:12:47:17
00:12:47:24
$NUM-NUMERATOR1:3d* dreiviertel
00:12:47:24
00:12:47:34
00:12:47:34
00:12:48:09
$NUM-DENOMINATOR1:4*
00:12:48:09
00:12:48:25
00:12:48:25
00:12:49:12
TO-DESTROY1* zerstört
00:12:49:12
00:12:49:28
00:12:49:28
00:12:50:03
OFF1C^* weg
00:12:50:03
00:12:50:07
00:12:50:07
00:12:50:29
$NUM-ORDINAL1:2d* zweiten weltkrieg
00:12:50:29
00:12:50:36
00:12:50:36
00:12:51:22
WAR1A*
00:12:51:22
00:12:52:03
00:12:52:03
00:12:52:08
That's too bad.
00:12:52:08
00:12:52:49
TOO-BAD1
00:12:52:49
00:12:53:17
00:12:53:17
00:12:54:13
There is a “Ratskeller” next to the town hall.
00:12:54:13
00:12:54:19
AND5 und
00:12:54:19
00:12:54:23
00:12:54:23
00:12:54:29
OLD5A* a{lt}
00:12:54:29
00:12:54:36
00:12:54:36
00:12:55:01
$ALPHA1:R rathaus
00:12:55:01
00:12:55:05
00:12:55:05
00:12:55:09
HOUSE1A*
00:12:55:09
00:12:55:20
00:12:55:20
00:12:55:25
$ALPHA1:R* ratskeller
00:12:55:25
00:12:55:37
00:12:55:37
00:12:56:06
CELLAR1*
00:12:56:06
00:12:56:30
00:12:56:30
00:12:56:43
$INDEX1 [MG]
00:12:56:43
00:12:57:02
00:12:57:02
00:12:57:06
I1
00:12:57:06
00:12:57:17
00:12:57:17
00:12:57:43
SMALL6* klein
00:12:57:43
00:12:58:08
00:12:58:08
00:12:58:20
SWEET1 süß
00:12:58:20
00:12:58:24
00:12:58:24
00:12:58:33
They have really good food.
00:12:58:33
00:12:58:46
TO-EAT-OR-FOOD2 essen
00:12:58:46
00:12:59:11
00:12:59:11
00:13:00:01
TASTY1A* lecker
00:13:00:01
00:13:00:10
And all sorts of great wine.
00:13:00:10
00:13:00:19
TO-SWAY1^
00:13:00:19
00:13:00:25
00:13:00:25
00:13:00:35
TO-DRINK1 wein
00:13:00:35
00:13:00:39
00:13:00:39
00:13:00:45
ALSO1A auch
00:13:00:45
00:13:01:06
00:13:01:06
00:13:01:20
TASTY1A* lecker
00:13:01:20
00:13:01:34
00:13:01:34
00:13:01:47
DISTINCT1 verschieden
00:13:01:47
00:13:02:03
00:13:02:03
00:13:02:37
SORT1* sortiert
00:13:02:37
00:13:02:41
00:13:02:41
00:13:03:10
But the “Ratskeller” is quite small.
00:13:03:10
00:13:04:02
SMALL6* klein
00:13:04:02
00:13:04:18
00:13:04:18
00:13:04:46
$GEST^
00:13:04:46
00:13:05:03
00:13:05:03
00:13:05:14
The town hall is quite big, actually. Still, the civil registry office is located next door.
00:13:05:14
00:13:05:22
$ALPHA1:R rathaus
00:13:05:22
00:13:05:44
00:13:05:44
00:13:06:23
BIG3B
00:13:06:23
00:13:06:30
00:13:06:30
00:13:06:37
NO1A* [MG]
00:13:06:37
00:13:07:03
00:13:07:03
00:13:07:16
RING1A^* standes{amt}
00:13:07:16
00:13:07:28
00:13:07:28
00:13:07:40
TO-MARRY3A* heirat
00:13:07:40
00:13:07:49
00:13:07:49
00:13:08:02
$INDEX1
00:13:08:02
00:13:08:22
NO1A* [MG]
00:13:08:22
00:13:08:26
00:13:08:26
00:13:08:31
GREAT1A* toll
00:13:08:31
00:13:08:46
00:13:08:46
00:13:09:09
NEXT-TO1A*
00:13:09:09
00:13:09:15
00:13:09:15
00:13:09:31
NEXT-TO2 [MG]
00:13:09:31
00:13:09:34
00:13:09:34
00:13:10:03
NEXT-TO1B* [MG]
00:13:10:03
00:13:10:12
00:13:10:12
00:13:10:21
RING1A^* standesamt
00:13:10:21
00:13:10:39
00:13:10:39
00:13:11:07
TO-MARRY3A* heiraten
00:13:11:07
00:13:11:28
00:13:11:28
00:13:11:38
$INDEX1
00:13:11:38
00:13:11:43
00:13:11:43
00:13:12:04
The cathedral is located next to it.
00:13:12:04
00:13:12:39
NEXT-TO1A* [MG]
00:13:12:39
00:13:13:36
00:13:13:36
00:13:13:49
TO-PRAY1A^ dom
00:13:13:49
00:13:14:16
00:13:14:16
00:13:14:42
CATHEDRAL1*
00:13:14:42
00:13:15:11
00:13:15:11
00:13:15:16
TO-DIVIDE-IN1A^*
00:13:15:16
00:13:16:08
00:13:16:08
00:13:16:17
Osnabrück has lots of churches, Catholic as well as Protestant ones.
00:13:16:17
00:13:16:29
OSNABRÜCK1 osnabrück
00:13:16:29
00:13:16:36
00:13:16:36
00:13:16:42
TO-HAVE-TO-OWN1 hat
00:13:16:42
00:13:17:03
00:13:17:03
00:13:17:23
MUCH-OR-MANY1A viele
00:13:17:23
00:13:17:35
00:13:17:35
00:13:18:04
CHURCH2B kirchen
00:13:18:04
00:13:18:20
00:13:18:20
00:13:19:04
$PROD* [MG]
00:13:19:04
00:13:19:16
00:13:19:16
00:13:19:45
CATHOLIC1B* katholisch
00:13:19:45
00:13:20:19
00:13:20:19
00:13:21:04
RELATED1A^ evangelisch evangelisch
00:13:21:04
00:13:21:05
00:13:21:05
00:13:21:39
$PROD* [MG]
00:13:21:39
00:13:22:05
00:13:22:05
00:13:22:25
MUCH-OR-MANY1A viel
00:13:22:25
00:13:22:32
00:13:22:32
00:13:22:37
A peculiarity relates to the Thirty Years' War.
00:13:22:37
00:13:22:48
$GEST^ und
00:13:22:48
00:13:23:04
00:13:23:04
00:13:23:33
SPECIAL-OR-PARTICULARLY1A* besonders
00:13:23:33
00:13:23:42
00:13:23:42
00:13:24:28
WHAT1B was
00:13:24:28
00:13:25:11
00:13:25:11
00:13:26:13
$NUM-TENS2A:3d dreißig
00:13:26:13
00:13:26:19
00:13:26:19
00:13:28:00
YEAR2B jahre
00:13:28:00
00:13:28:05
00:13:28:05
00:13:28:39
WAR1A* krieg
00:13:28:39
00:13:28:43
00:13:28:43
00:13:29:04
The cities of Osnabrück and Münster concluded a treaty of peace.
00:13:29:04
00:13:29:22
BETWEEN1B zwischen
00:13:29:22
00:13:29:33
00:13:29:33
00:13:29:39
MÜNSTER1* münsterland
00:13:29:39
00:13:29:47
00:13:29:47
00:13:30:11
PLANE3A^*
00:13:30:11
00:13:30:28
00:13:30:28
00:13:30:39
AND2A und
00:13:30:39
00:13:30:48
00:13:30:48
00:13:31:10
OSNABRÜCK1* osnabrück
00:13:31:10
00:13:31:19
00:13:31:19
00:13:31:36
WAR1A krieg
00:13:31:36
00:13:31:47
00:13:31:47
00:13:32:01
AND6* und
00:13:32:01
00:13:32:12
00:13:32:12
00:13:32:23
PEACE1 friedensvertrag
00:13:32:23
00:13:32:35
00:13:32:35
00:13:33:33
CONTRACT1A
00:13:33:33
00:13:33:41
00:13:33:41
00:13:33:47
Peace between them was special for both of them.
00:13:33:47
00:13:34:31
SPECIAL-OR-PARTICULARLY1A besonders
00:13:34:31
00:13:34:44
00:13:34:44
00:13:35:13
PEACE1 frieden
00:13:35:13
00:13:35:41
00:13:35:41
00:13:35:48
FOR1 für
00:13:35:48
00:13:36:03
00:13:36:03
00:13:36:14
OSNABRÜCK1* osnabrück
00:13:36:14
00:13:36:28
00:13:36:28
00:13:36:39
AND2A und
00:13:36:39
00:13:37:07
00:13:37:07
00:13:37:13
MÜNSTER1* münsterland
00:13:37:13
00:13:37:22
00:13:37:22
00:13:37:31
PLANE3A^*
00:13:37:31
00:13:37:39
00:13:37:39
00:13:38:41
BOTH2A beide
00:13:38:41
00:13:39:24
00:13:39:24
00:13:40:44
00:13:40:44
00:13:41:23
There are many castles and moats within the environ of Osnabrück, especially in the North.
00:13:41:23
00:13:41:32
COUNTRY3A* land
00:13:41:32
00:13:42:19
AREA1A*
00:13:42:19
00:13:42:33
00:13:42:33
00:13:42:48
NORTH1B nord
00:13:42:48
00:13:43:07
00:13:43:07
00:13:43:38
AREA1A*
00:13:43:38
00:13:43:48
00:13:43:48
00:13:44:05
PAIR-OF-COMPASSES1B^* umkreis
00:13:44:05
00:13:44:12
00:13:44:12
00:13:44:43
$INDEX1*
00:13:44:43
00:13:45:03
00:13:45:03
00:13:45:15
MUCH-OR-MANY1B* viel
00:13:45:15
00:13:45:22
00:13:45:22
00:13:45:49
SOME1 ein paar
00:13:45:49
00:13:46:11
00:13:46:11
00:13:46:34
SMALL11* klein
00:13:46:34
00:13:47:07
00:13:47:07
00:13:47:21
$ALPHA1:C-L schloss
00:13:47:21
00:13:47:35
00:13:47:35
00:13:48:23
$PROD*
00:13:48:23
00:13:48:41
00:13:48:41
00:13:49:03
OWN1C eigene
00:13:49:03
00:13:49:13
00:13:49:13
00:13:49:18
WATER1* wasser umkreis
00:13:49:18
00:13:49:28
00:13:49:28
00:13:51:04
$PROD*
00:13:51:04
00:13:51:05
00:13:51:05
00:13:51:21
They are beautiful.
00:13:51:21
00:13:51:42
$PROD* schloss
00:13:51:42
00:13:51:49
00:13:51:49
00:13:52:04
GOOD1 [MG]
00:13:52:04
00:13:52:16
They are especially located in the North of Osnabrück.
00:13:52:16
00:13:53:10
$INDEX1* [MG]
00:13:53:10
00:13:53:18
NORTH1B nord
00:13:53:18
00:13:53:21
00:13:53:21
00:13:53:25
SPECIAL-OR-PARTICULARLY1A* besonders
00:13:53:25
00:13:53:29
00:13:53:29
00:13:53:35
AREA1A^*
00:13:53:35
00:13:53:38
00:13:53:38
00:13:53:46
There are none in the south of Osnabrück.
00:13:53:46
00:13:54:06
SOUTH1B süd
00:13:54:06
00:13:54:12
00:13:54:12
00:13:54:21
NONE1* kein
00:13:54:21
00:13:54:27
00:13:54:27
00:13:55:26
AREA1A^*
00:13:55:26
00:13:55:42
00:13:55:42
00:13:56:38
What else can be found around Osnabrück?
00:13:56:38
00:13:57:07
$INDEX1*
00:13:57:07
00:13:57:21
00:13:57:21
00:14:00:08
$PROD*
00:14:00:08
00:14:01:06
00:14:01:06
00:14:03:21
I can't think of anything else. $GEST^ [MG]
00:14:03:21
00:14:03:40
There is one more peculiarity.
00:14:03:40
00:14:03:47
ALSO1A* auch
00:14:03:47
00:14:04:12
00:14:04:12
00:14:04:22
SPECIAL-OR-PARTICULARLY1A* besonders
00:14:04:22
00:14:04:43
00:14:04:43
00:14:05:17
We have a carnival parade in February. It even takes place in the villages surrounding Osnabrück.
00:14:05:17
00:14:05:49
CARNIVAL2 karnevalsumzug
00:14:05:49
00:14:06:13
00:14:06:13
00:14:07:03
TO-MOVE1*
00:14:07:03
00:14:07:10
00:14:07:10
00:14:07:14
ALSO1A auch
00:14:07:14
00:14:07:28
00:14:07:28
00:14:07:45
FEBRUARY1B februar
00:14:07:45
00:14:08:03
00:14:08:03
00:14:09:03
MASS-OF-PEOPLE-ACTIVE8 [MG]
00:14:09:03
00:14:09:15
00:14:09:15
00:14:09:26
ALSO1A auch
00:14:09:26
00:14:09:32
00:14:09:32
00:14:09:40
WHAT1A [MG]
00:14:09:40
00:14:09:45
00:14:09:45
00:14:10:02
MUCH-OR-MANY1A* viel
00:14:10:02
00:14:10:05
00:14:10:05
00:14:11:15
$INDEX1 [MG]
00:14:11:15
00:14:11:18
00:14:11:18
00:14:11:25
ALSO1A* auch
00:14:11:25
00:14:11:31
And there is a “Maifest” [May Celebration]. That's right, the “Maifest”.
00:14:11:31
00:14:11:40
NEXT-TO1A*
00:14:11:40
00:14:11:42
00:14:11:42
00:14:11:46
AND5* und
00:14:11:46
00:14:12:12
00:14:12:12
00:14:12:20
MAY3A maifest
00:14:12:20
00:14:12:31
00:14:12:31
00:14:12:44
CELEBRATION1A*
00:14:12:44
00:14:14:00
00:14:14:00
00:14:14:05
MAY3A maifest
00:14:14:05
00:14:14:14
00:14:14:14
00:14:14:23
CELEBRATION3B
00:14:14:23
00:14:14:31
00:14:14:31
00:14:14:35
It lasts three weeks.
00:14:14:35
00:14:15:00
APPROXIMATELY1 [MG]
00:14:15:00
00:14:15:17
00:14:15:17
00:14:15:44
TO-LAST1 dauert
00:14:15:44
00:14:15:48
00:14:15:48
00:14:16:12
$NUM-ONE-TO-TEN1A:3d drei
00:14:16:12
00:14:16:25
00:14:16:25
00:14:16:46
WEEK1A* wochen
00:14:16:46
00:14:17:13
00:14:17:13
00:14:17:37
THROUGH1^ [MG]
00:14:17:37
00:14:18:06
00:14:18:06
00:14:19:22
PERIOD1C*
00:14:19:22
00:14:19:40
00:14:19:40
00:14:19:45
It takes place in the middle of the town, on one of the bigger streets.
00:14:19:45
00:14:20:06
BIG3A großstadt
00:14:20:06
00:14:20:17
00:14:20:17
00:14:20:22
CITY2
00:14:20:22
00:14:20:30
00:14:20:30
00:14:20:48
MIDDLE2A mitte
00:14:20:48
00:14:21:10
00:14:21:10
00:14:21:24
BIG3A große
00:14:21:24
00:14:21:42
00:14:21:42
00:14:22:18
STREET1 straße
00:14:22:18
00:14:22:28
There are many bands trying to woo the audience.
00:14:22:28
00:14:22:41
$GEST^ [MG]
00:14:22:41
00:14:22:49
00:14:22:49
00:14:23:19
$PROD*
00:14:23:19
00:14:23:22
00:14:23:22
00:14:23:40
MUSIC1* musik
00:14:23:40
00:14:23:48
00:14:23:48
00:14:24:02
TO-EAT-OR-FOOD4*
00:14:24:02
00:14:24:06
00:14:24:06
00:14:24:14
DISTINCT1* verschieden
00:14:24:14
00:14:24:21
00:14:24:21
00:14:25:04
$PROD* [MG]
00:14:25:04
00:14:25:09
00:14:25:09
00:14:25:32
$INDEX1*
00:14:25:32
00:14:25:36
00:14:25:36
00:14:26:01
COMPETITION1* konkurrenz
00:14:26:01
00:14:26:07
00:14:26:07
00:14:26:17
Wherever you turn to, you will hear bands playing their music.
00:14:26:17
00:14:26:35
$GEST^
00:14:26:35
00:14:26:42
00:14:26:42
00:14:27:03
TO-HEAR1*
00:14:27:03
00:14:27:10
00:14:27:10
00:14:27:24
WEIRD1^* [MG]
00:14:27:24
00:14:27:28
00:14:27:28
00:14:27:32
GREAT1A* toll
00:14:27:32
00:14:27:39
00:14:27:39
00:14:28:01
MUSIC1 musik
00:14:28:01
00:14:28:09
00:14:28:09
00:14:28:15
$INDEX1 da
00:14:28:15
00:14:28:33
00:14:28:33
00:14:29:01
$INDEX4* da
00:14:29:01
00:14:29:25
00:14:29:25
00:14:29:28
$PROD*
00:14:29:28
00:14:29:42
00:14:29:42
00:14:30:17
$PROD*
00:14:30:17
00:14:30:30
00:14:30:30
00:14:30:45
$GEST^
00:14:30:45
00:14:31:05
00:14:31:05
00:14:31:15
It lasts three weeks.
00:14:31:15
00:14:31:29
WEEK1B* drei wochen
00:14:31:29
00:14:31:44
00:14:31:44
00:14:32:13
THROUGH1A du{rch}
00:14:32:13
00:14:32:19
00:14:32:19
00:14:32:23
$NUM-ONE-TO-TEN1A:3d drei
00:14:32:23
00:14:32:27
00:14:32:27
00:14:32:35
THROUGH1A*
00:14:32:35
00:14:32:47
00:14:32:47
00:14:33:11
PERIOD1C*
00:14:33:11
00:14:33:15
00:14:33:15
00:14:33:23
There is a lot going on.
00:14:33:23
00:14:33:41
FAST3^*
00:14:33:41
00:14:33:49
People drink and party, as well.
00:14:33:49
00:14:34:13
TO-BOOZE1 sau sau
00:14:34:13
00:14:34:25
00:14:34:25
00:14:34:41
PARTY1A* [MG]
00:14:34:41
00:14:34:46
00:14:34:46
00:14:35:02
Three weeks straight? Great.
00:14:35:02
00:14:35:11
SUPER2* [MG]
00:14:35:11
00:14:35:23
$NUM-ONE-TO-TEN1A:3d drei woche
00:14:35:23
00:14:35:44
00:14:35:44
00:14:36:05
THROUGH1A du{rch} Yes, three weeks.
00:14:36:05
00:14:36:14
00:14:36:14
00:14:36:21
GREAT1A^ [MG]
00:14:36:21
00:14:36:23
WEEK1B* drei wochen
00:14:36:23
00:14:36:33
00:14:36:33
00:14:36:44
00:14:36:44
00:14:36:49
PERIOD1C^ woche
00:14:36:49
00:14:37:17
00:14:37:17
00:14:37:27
00:14:37:27
00:14:37:37
$GEST^
00:14:37:37
00:14:37:45
00:14:37:45
00:14:38:05
$GEST^
00:14:38:05
00:14:38:27
00:14:38:27
00:14:38:42
We do not call it “Freimarkt” but “Jahrmarkt” [fair].
00:14:38:42
00:14:38:48
AND5* und
00:14:38:48
00:14:39:05
00:14:39:05
00:14:39:23
$GEST^
00:14:39:23
00:14:39:25
00:14:39:25
00:14:39:38
$INDEX1
00:14:39:38
00:14:39:49
00:14:39:49
00:14:40:10
MARKET2* freimarkt
00:14:40:10
00:14:40:29
00:14:40:29
00:14:40:36
FREE1
00:14:40:36
00:14:40:48
00:14:40:48
00:14:41:25
MARKET2
00:14:41:25
00:14:41:41
00:14:41:41
00:14:41:49
USUAL1 normal
00:14:41:49
00:14:42:09
00:14:42:09
00:14:42:23
YEAR2A jahrmarkt
00:14:42:23
00:14:42:26
00:14:42:26
00:14:42:42
TO-CRANK1A^*
00:14:42:42
00:14:43:07
00:14:43:07
00:14:43:21
WORD3 wort
00:14:43:21
00:14:43:27
00:14:43:27
00:14:43:33
USUAL1 normal
00:14:43:33
00:14:43:45
00:14:43:45
00:14:44:25
YEAR2B jahrmarkt
00:14:44:25
00:14:44:32
00:14:44:32
00:14:45:06
MARKET2*
00:14:45:06
00:14:45:13
It takes place twice a year - once in April or May, and once in October or November.
00:14:45:13
00:14:46:01
$GEST^
00:14:46:01
00:14:46:24
00:14:46:24
00:14:46:30
$NUM-ONE-TO-TEN1A:2d* zweimal
00:14:46:30
00:14:46:33
00:14:46:33
00:14:47:02
ONCE4*
00:14:47:02
00:14:47:28
00:14:47:28
00:14:47:34
IN1 im
00:14:47:34
00:14:47:43
00:14:47:43
00:14:48:02
APRIL2 april
00:14:48:02
00:14:48:04
00:14:48:04
00:14:48:20
BETWEEN1B*
00:14:48:20
00:14:48:22
00:14:48:22
00:14:48:36
APPROXIMATELY2
00:14:48:36
00:14:49:00
00:14:49:00
00:14:49:17
AFTERWARDS1A^ und
00:14:49:17
00:14:49:29
00:14:49:29
00:14:49:36
NOVEMBER7* november
00:14:49:36
00:14:49:45
00:14:49:45
00:14:50:04
OCTOBER16 oktober
00:14:50:04
00:14:50:11
00:14:50:11
00:14:50:30
BETWEEN1B*
00:14:50:30
00:14:50:48
00:14:50:48
00:14:51:15
BETWEEN1B* [MG]
00:14:51:15
00:14:51:23
00:14:51:23
00:14:51:26
$NUM-ONE-TO-TEN1A:2 zweimal
00:14:51:26
00:14:51:31
00:14:51:31
00:14:51:38
$GEST^
00:14:51:38
00:14:52:03
00:14:52:03
00:14:52:17
They don't have it in Osnabrück any longer.
00:14:52:17
00:14:52:27
AND5* und
00:14:52:27
00:14:52:37
00:14:52:37
00:14:52:47
OSNABRÜCK1*LOCATION3 osna{brück}
00:14:52:47
00:14:53:03
00:14:53:03
00:14:53:15
DONE1A*
00:14:53:15
00:14:53:23
00:14:53:23
00:14:53:28
$INDEX1*
00:14:53:28
00:14:53:32
00:14:53:32
00:14:53:46
TIMES3*
00:14:53:46
00:14:53:48
00:14:53:48
00:14:54:07
There are many smaller towns surrounding Osnabrück.
00:14:54:07
00:14:54:19
ALSO1A auch
00:14:54:19
00:14:54:32
00:14:54:32
00:14:55:36
ROUND6A^* [MG]
00:14:55:36
00:14:55:43
00:14:55:43
00:14:56:01
NORTH1A* nord
00:14:56:01
00:14:56:07
00:14:56:07
00:14:56:18
OSNABRÜCK1 osnabrück
00:14:56:18
00:14:56:34
00:14:56:34
00:14:56:40
SMALL11 klein
00:14:56:40
00:14:57:01
00:14:57:01
00:14:57:10
CITY2 städte
00:14:57:10
00:14:57:20
00:14:57:20
00:14:58:02
$INDEX1*
00:14:58:02
00:14:58:11
00:14:58:11
00:14:58:20
There is Bramsche, Ibbenbüren, or (( )) and many others.
00:14:58:20
00:14:59:14
$GEST^
00:14:59:14
00:14:59:26
00:14:59:26
00:14:59:35
$CUED-SPEECH* bramsche
00:14:59:35
00:14:59:46
00:14:59:46
00:15:00:07
$INDEX1
00:15:00:07
00:15:00:35
00:15:00:35
00:15:01:14
$INDEX1 [MG]
00:15:01:14
00:15:01:31
00:15:01:31
00:15:01:38
$ALPHA1:I* ibbenbüren
00:15:01:38
00:15:01:45
00:15:01:45
00:15:02:14
TO-EAT-OR-FOOD2^
00:15:02:14
00:15:02:27
00:15:02:27
00:15:03:05
$INDEX1*
00:15:03:05
00:15:03:25
00:15:03:25
00:15:04:22
$GEST^
00:15:04:22
00:15:04:32
00:15:04:32
00:15:04:44
$ALPHA1:B ??
00:15:04:44
00:15:05:03
00:15:05:03
00:15:05:20
VILLAGE3*
00:15:05:20
00:15:05:29
00:15:05:29
00:15:06:24
$INDEX1*
00:15:06:24
00:15:07:16
00:15:07:16
00:15:07:41
$INDEX1*
00:15:07:41
00:15:07:42
00:15:07:42
00:15:08:06
They have some small fairs and marksmen's festivals.
00:15:08:06
00:15:08:16
ALSO1A auch
00:15:08:16
00:15:08:31
00:15:08:31
00:15:11:07
SMALL1B* klein
00:15:11:07
00:15:11:38
00:15:11:38
00:15:11:48
MARKET2* freimarkt
00:15:11:48
00:15:12:14
00:15:12:14
00:15:12:26
SHOOTER-OR-SAGITTARIUS3 schützenfest
00:15:12:26
00:15:12:33
00:15:12:33
00:15:12:47
CELEBRATION1A
00:15:12:47
00:15:13:20
00:15:13:20
00:15:13:26
There is a lot going on in the greater area of Osnabrück.
00:15:13:26
00:15:13:30
AND5* und
00:15:13:30
00:15:13:38
00:15:13:38
00:15:13:47
MUCH-OR-MANY1A* viel
00:15:13:47
00:15:13:48
00:15:13:48
00:15:14:08
APPOINTMENT1A termin
00:15:14:08
00:15:14:12
00:15:14:12
00:15:14:25
WHAT1A^ los
00:15:14:25
00:15:14:30
00:15:14:30
00:15:14:34
MUCH-OR-MANY1A*
00:15:14:34
00:15:14:41
00:15:14:41
00:15:15:36
$INDEX1*
00:15:15:36
00:15:15:43
00:15:15:43
00:15:16:01
ALSO1A* auch
00:15:16:01
00:15:16:05
00:15:16:05
00:15:16:14
$GEST^
00:15:16:14
00:15:16:30
00:15:16:30
00:15:16:45
Pardon me, but you are talking about the area outside the city of Osnabrück, aren't you?
00:15:16:45
00:15:17:00
YOU1* aber
00:15:17:00
00:15:17:07
00:15:17:07
00:15:17:12
TO-BELIEVE2B
00:15:17:12
00:15:17:20
00:15:17:20
00:15:17:25
APOLOGY1* entsch{uldigung}
00:15:17:25
00:15:17:29
00:15:17:29
00:15:17:35
$INDEX1
00:15:17:35
00:15:17:43
00:15:17:43
00:15:17:49
OSNABRÜCK1* osnabrück
00:15:17:49
00:15:18:11
00:15:18:11
00:15:18:18
$PROD*
00:15:18:18
00:15:18:28
00:15:18:28
00:15:18:41
$PROD*
00:15:18:41
00:15:18:42
00:15:18:42
00:15:19:01
TO-BELONG1* gehört
00:15:19:01
00:15:19:09
00:15:19:09
00:15:19:16
OSNABRÜCK1* osna{brück}
00:15:19:16
00:15:19:26
00:15:19:26
00:15:19:30
$INDEX1*
00:15:19:30
00:15:19:45
Yes.
00:15:19:45
00:15:20:01
YES2
00:15:20:01
00:15:20:05
Okay.
00:15:20:05
00:15:20:12
$INDEX1 [MG]
00:15:20:12
00:15:20:17
00:15:20:17
00:15:20:22
00:15:20:22
00:15:20:27
TO-THINK1B
00:15:20:27
00:15:20:28
00:15:20:28
00:15:20:30
RIGHT-OR-AGREED1A stimmt
00:15:20:30
00:15:20:33
Right, but there is only the one event in Bremen. Yes, there are many events in the surrounding area.
00:15:20:33
00:15:20:40
BREMEN1* bremen
00:15:20:40
00:15:20:43
00:15:20:43
00:15:21:00
NO2B nein
00:15:21:00
00:15:21:07
00:15:21:07
00:15:21:19
ALONE1C allein
00:15:21:19
00:15:21:33
00:15:21:33
00:15:21:40
TO-COMPREHEND1 [MG]
00:15:21:40
00:15:21:41
00:15:21:41
00:15:21:48
YES2
00:15:21:48
00:15:22:14
00:15:22:14
00:15:22:21
$INDEX1*
00:15:22:21
00:15:22:24
00:15:22:24
00:15:22:49
MUCH-OR-MANY1A viel
00:15:22:49
00:15:23:05
00:15:23:05
00:15:23:06
$GEST-OFF^* auch
00:15:23:06
00:15:23:12
00:15:23:12
00:15:23:16
ALSO3A*
00:15:23:16
00:15:23:20
00:15:23:20
00:15:23:30
EVENT2 veranstaltung
00:15:23:30
00:15:23:37
00:15:23:37
00:15:24:14
$INDEX1*
00:15:24:14
00:15:24:20
00:15:24:20
00:15:24:26
$GEST-OFF^ [MG]
00:15:24:26
00:15:24:32
00:15:24:32
00:15:26:21
00:15:26:21
00:15:26:36
They have a tradition similar to one of Bremen‘s, as well.
00:15:26:36
00:15:26:43
ALSO1A auch
00:15:26:43
00:15:26:49
00:15:26:49
00:15:28:47
TRADITION3 tradition
00:15:28:47
00:15:29:05
00:15:29:05
00:15:29:24
TYPICAL1* typisch
00:15:29:24
00:15:29:34
00:15:29:34
00:15:29:43
EXAMPLE1 beispiel
00:15:29:43
00:15:30:07
00:15:30:07
00:15:30:14
BREMEN1* bremen
00:15:30:14
00:15:30:23
00:15:30:23
00:15:30:41
EQUAL1A [MG]
00:15:30:41
00:15:30:49
00:15:30:49
00:15:31:06
ALSO3A* auch
00:15:31:06
00:15:32:18
00:15:32:18
00:15:32:21
When turning 25 men get old socks.
00:15:32:21
00:15:32:27
$INDEX1
00:15:32:27
00:15:32:33
00:15:32:33
00:15:32:40
$NUM-ONE-TO-TEN1A:5 fünfundzwanzig
00:15:32:40
00:15:32:43
00:15:32:43
00:15:33:01
$NUM-TENS1:2d
00:15:33:01
00:15:33:17
00:15:33:17
00:15:33:37
OLD5A alt
00:15:33:37
00:15:34:02
00:15:34:02
00:15:34:10
OLD5A alt
00:15:34:10
00:15:34:23
00:15:34:23
00:15:35:22
SOCK1* socken
00:15:35:22
00:15:35:37
00:15:35:37
00:15:36:12
FOR1 für
00:15:36:12
00:15:36:26
00:15:36:26
00:15:37:28
MAN1 mann
00:15:37:28
00:15:37:31
00:15:37:31
00:15:38:09
TO-BELONG1^
00:15:38:09
00:15:39:01
Women get old and shabby boxes as a birthday gift.
00:15:39:01
00:15:39:10
FOR1* für
00:15:39:10
00:15:39:23
00:15:39:23
00:15:39:39
WOMAN1A frau
00:15:39:39
00:15:40:17
00:15:40:17
00:15:40:32
TO-BELONG1^
00:15:40:32
00:15:41:23
00:15:41:23
00:15:41:30
OLD5A alte
00:15:41:30
00:15:41:36
00:15:41:36
00:15:43:48
SQUARE10^ schachtel
00:15:43:48
00:15:44:12
On their 30th birthday men have to mop, and women have to clean.
00:15:44:12
00:15:44:20
$NUM-TENS2A:3d dreißig
00:15:44:20
00:15:44:36
00:15:44:36
00:15:45:31
OLD5A alt
00:15:45:31
00:15:45:39
00:15:45:39
00:15:45:44
CLEAR1A* klar
00:15:45:44
00:15:46:06
00:15:46:06
00:15:46:14
MAN1 mann
00:15:46:14
00:15:46:22
00:15:46:22
00:15:46:40
TO-SWEEP1A* fegen
00:15:46:40
00:15:47:15
00:15:47:15
00:15:47:28
WOMAN1A frau
00:15:47:28
00:15:47:41
00:15:47:41
00:15:48:27
TO-CLEAN5* putzen
00:15:48:27
00:15:48:34
00:15:48:34
00:15:48:41
$GEST-OFF^
00:15:48:41
00:15:49:05
00:15:49:05
00:15:49:19
I didn't know about the sweeping, neither about the old cigarette packets for the 25th birthday.
00:15:49:19
00:15:49:24
$INDEX1
00:15:49:24
00:15:49:31
00:15:49:31
00:15:49:43
TO-KNOW-OR-KNOWLEDGE2B
00:15:49:43
00:15:49:47
00:15:49:47
00:15:50:02
RIGHT-OR-AGREED1A* stimmt
00:15:50:02
00:15:50:11
00:15:50:11
00:15:50:14
QUESTION1* fr{agen}
00:15:50:14
00:15:50:18
00:15:50:18
00:15:50:29
$INDEX1
00:15:50:29
00:15:51:14
00:15:51:14
00:15:51:19
SUBJECT1* thema
00:15:51:19
00:15:51:31
00:15:51:31
00:15:51:43
TO-SWEEP1A fegen
00:15:51:43
00:15:52:03
00:15:52:03
00:15:52:13
$INDEX1 da
00:15:52:13
00:15:52:34
00:15:52:34
00:15:52:37
$NUM-ONE-TO-TEN1A:5 fünfundzwanzig
00:15:52:37
00:15:52:42
00:15:52:42
00:15:52:43
$NUM-TENS2A:2d*
00:15:52:43
00:15:53:01
00:15:53:01
00:15:53:06
OLD8B jahr
00:15:53:06
00:15:53:12
00:15:53:12
00:15:53:17
SQUARE10^
00:15:53:17
00:15:53:22
00:15:53:22
00:15:53:25
The old boxes for the women.
00:15:53:25
00:15:53:35
CIGARETTE1* zigarettenschachtel
00:15:53:35
00:15:53:45
00:15:53:45
00:15:54:07
SQUARE10^ OLD5A alt
00:15:54:07
00:15:54:12
00:15:54:12
00:15:54:17
SQUARE10^ schachtel
00:15:54:17
00:15:54:23
OLD8B alt
00:15:54:23
00:15:54:24
FOR1 für
00:15:54:24
00:15:54:28
00:15:54:28
00:15:54:34
SQUARE10^ schachtel
00:15:54:34
00:15:54:39
WOMAN1A frauen
00:15:54:39
00:15:54:42
$INDEX1
00:15:54:42
00:15:54:44
00:15:54:44
00:15:55:00
00:15:55:00
00:15:55:04
TO-BELONG1^ gehört
00:15:55:04
00:15:55:10
TO-KNOW-OR-KNOWLEDGE2B wusste nicht
00:15:55:10
00:15:55:16
00:15:55:16
00:15:55:25
I1
00:15:55:25
00:15:55:26
00:15:55:26
00:15:55:28
A colleague talked about it recently. I didn't know that.
00:15:55:28
00:15:55:35
I1
00:15:55:35
00:15:55:41
00:15:55:41
00:15:56:03
RECENTLY2* [MG]
00:15:56:03
00:15:56:10
00:15:56:10
00:15:56:15
COLLEAGUE1A* koll{ege}
00:15:56:15
00:15:56:19
00:15:56:19
00:15:56:28
TO-LET-KNOW1A*
00:15:56:28
00:15:56:32
00:15:56:32
00:15:56:45
I1
00:15:56:45
00:15:57:04
00:15:57:04
00:15:57:10
TO-KNOW-OR-KNOWLEDGE2B* wusste nicht
00:15:57:10
00:15:57:15
$INDEX1 [MG]
00:15:57:15
00:15:57:19
I1
00:15:57:19
00:15:57:39
00:15:57:39
00:15:58:09
00:15:58:09
00:15:58:30
I'm not sure whether they have that tradition in Bremen.
00:15:58:30
00:15:58:36
HERE1* [MG]
00:15:58:36
00:15:58:43
00:15:58:43
00:15:58:49
BREMEN1* bre{men}
00:15:58:49
00:15:59:06
00:15:59:06
00:15:59:13
RIGHT-OR-AGREED1A* [MG]
00:15:59:13
00:15:59:18
00:15:59:18
00:15:59:20
I1
00:15:59:20
00:15:59:26
00:15:59:26
00:15:59:30
TO-KNOW-OR-KNOWLEDGE2B
00:15:59:30
00:15:59:31
00:15:59:31
00:15:59:34
NOT3B
00:15:59:34
00:15:59:40
At least not among the deaf.
00:15:59:40
00:16:00:00
DEAF1A [MG]
00:16:00:00
00:16:00:03
00:16:00:03
00:16:00:05
I have seen it a few times.
00:16:00:05
00:16:00:11
I1 [MG]
00:16:00:11
00:16:00:14
AREA1A [MG]
00:16:00:14
00:16:00:20
00:16:00:20
00:16:00:25
$NUM-ONE-TO-TEN1A:2d [MG]
00:16:00:25
00:16:00:31
00:16:00:31
00:16:00:33
I2 $NUM-ONE-TO-TEN1A:3d [MG]
00:16:00:33
00:16:00:35
00:16:00:35
00:16:00:41
00:16:00:41
00:16:01:18
$GEST^ TO-SEE1* [MG]
00:16:01:18
00:16:01:24
Hearing/
00:16:01:24
00:16:01:35
HEARING1A* hörend They hang tons of boxes on the façade of the house, across all three floors.
00:16:01:35
00:16:01:46
HOUSE1A haus
00:16:01:46
00:16:02:13
00:16:02:13
00:16:02:31
00:16:02:31
00:16:02:38
OLD5A alt
00:16:02:38
00:16:02:44
00:16:02:44
00:16:03:06
SQUARE10^ schachtel
00:16:03:06
00:16:03:22
00:16:03:22
00:16:04:00
$PROD* voll
00:16:04:00
00:16:04:10
00:16:04:10
00:16:04:26
00:16:04:26
00:16:04:30
HOUSE1A* haus
00:16:04:30
00:16:04:34
00:16:04:34
00:16:05:03
$NUM-ONE-TO-TEN1A:3dSTOREY2A* drei stock{werke}
00:16:05:03
00:16:05:22
00:16:05:22
00:16:05:29
Do you know whether they have that tradition in Bremen, as well? $INDEX1* [MG]
00:16:05:29
00:16:05:44
YOU1
00:16:05:44
00:16:06:16
00:16:06:16
00:16:06:26
TO-LEARN-STH1A* [MG]
00:16:06:26
00:16:06:27
00:16:06:27
00:16:07:02
TO-HANG-UP2* auf auf
00:16:07:02
00:16:07:09
00:16:07:09
00:16:07:13
BREMEN1* bre{men}
00:16:07:13
00:16:07:20
00:16:07:20
00:16:07:21
THERE-IS2* gibt
00:16:07:21
00:16:07:28
00:16:07:28
00:16:07:33
00:16:07:33
00:16:07:44
HERE1 hier
00:16:07:44
00:16:08:11
00:16:08:11
00:16:08:35
TO-LEARN-STH1A*
00:16:08:35
00:16:09:03
00:16:09:03
00:16:09:12
YOU1*
00:16:09:12
00:16:09:25
No, I haven't seen such a decorated house hereabouts, so far.
00:16:09:25
00:16:09:33
UNTIL1 bis
00:16:09:33
00:16:09:40
00:16:09:40
00:16:09:49
TO-SEE1 seh
00:16:09:49
00:16:10:06
00:16:10:06
00:16:10:20
HOUSE1A haus
00:16:10:20
00:16:10:25
00:16:10:25
00:16:10:35
$NUM-ONE-TO-TEN1A:1* nicht einmal
00:16:10:35
00:16:10:42
00:16:10:42
00:16:11:00
00:16:11:00
00:16:11:07
TO-SEE1
00:16:11:07
00:16:11:13
00:16:11:13
00:16:11:18
I didn't know that. It is supposed to be common in Lower Saxony; at least that's what my colleague said. HOUSE1A haus
00:16:11:18
00:16:11:33
MEANING1 bedeutet
00:16:11:33
00:16:11:37
00:16:11:37
00:16:11:41
I1 $GEST-OFF^
00:16:11:41
00:16:11:46
00:16:11:46
00:16:12:06
MEANING1 bedeutet
00:16:12:06
00:16:12:13
00:16:12:13
00:16:12:21
$INDEX1
00:16:12:21
00:16:12:38
00:16:12:38
00:16:12:47
COLLEAGUE1A* koll{ege}
00:16:12:47
00:16:13:02
00:16:13:02
00:16:13:08
TO-LET-KNOW1A*
00:16:13:08
00:16:13:16
00:16:13:16
00:16:13:33
AREA1A^ niedersachsen
00:16:13:33
00:16:13:40
00:16:13:40
00:16:14:06
$GEST^
00:16:14:06
00:16:14:21
In Osnabrück people immediately know that someone turned 25 - a woman when seeing boxes, and a men when seeing socks.
00:16:14:21
00:16:14:25
RIGHT-OR-AGREED1A*
00:16:14:25
00:16:14:31
00:16:14:31
00:16:14:33
$GEST^
00:16:14:33
00:16:14:49
$GEST^
00:16:14:49
00:16:15:01
00:16:15:01
00:16:15:08
00:16:15:08
00:16:15:11
TO-BE-OUTVOTED1 [MG]
00:16:15:11
00:16:15:16
I1 ich
00:16:15:16
00:16:15:27
00:16:15:27
00:16:15:29
00:16:15:29
00:16:15:36
TYPICAL1* typisch
00:16:15:36
00:16:15:38
OSNABRÜCK1* osna{brück}
00:16:15:38
00:16:15:47
00:16:15:47
00:16:16:03
00:16:16:03
00:16:16:08
TO-SEE1 [MG]
00:16:16:08
00:16:16:17
00:16:16:17
00:16:16:24
HOUSE1A* haus
00:16:16:24
00:16:16:29
00:16:16:29
00:16:16:45
FAR1* [MG]
00:16:16:45
00:16:16:48
00:16:16:48
00:16:17:20
$PROD*
00:16:17:20
00:16:17:25
00:16:17:25
00:16:17:39
TO-COMPREHEND1 [MG]
00:16:17:39
00:16:17:40
00:16:17:40
00:16:17:45
$INDEX1*
00:16:17:45
00:16:17:47
00:16:17:47
00:16:18:05
TO-BECOME1* wird
00:16:18:05
00:16:18:08
00:16:18:08
00:16:18:16
$NUM-ONE-TO-TEN1A:5 fünfundzwanzig
00:16:18:16
00:16:18:21
00:16:18:21
00:16:18:25
$NUM-TENS2A:2d
00:16:18:25
00:16:18:35
00:16:18:35
00:16:18:49
OLD5A jahre alt
00:16:18:49
00:16:19:01
00:16:19:01
00:16:19:10
$GEST^
00:16:19:10
00:16:19:18
00:16:19:18
00:16:19:29
WOMAN1A* frau
00:16:19:29
00:16:19:32
00:16:19:32
00:16:19:39
$GEST^
00:16:19:39
00:16:20:21
00:16:20:21
00:16:20:31
WEIRD1^* [MG]
00:16:20:31
00:16:20:42
00:16:20:42
00:16:21:11
SOCK1* socken
00:16:21:11
00:16:21:23
00:16:21:23
00:16:21:48
TO-HANG-UP2* [MG]
00:16:21:48
00:16:22:14
00:16:22:14
00:16:22:28
TO-COMPREHEND1 [MG]
00:16:22:28
00:16:22:38
00:16:22:38
00:16:22:49
MAN1 mann
00:16:22:49
00:16:23:20
00:16:23:20
00:16:23:25
$GEST^
00:16:23:25
00:16:23:38
00:16:23:38
00:16:24:00
TO-COMPREHEND1 [MG]
00:16:24:00
00:16:24:08
00:16:24:08
00:16:24:13
No, we don't have that in Bremen.
00:16:24:13
00:16:24:16
$GEST-OFF^
00:16:24:16
00:16:24:23
MEANING1 bedeutet
00:16:24:23
00:16:24:44
00:16:24:44
00:16:24:45
Yeah, it is quite interesting here.
00:16:24:45
00:16:25:04
00:16:25:04
00:16:25:09
$GEST^
00:16:25:09
00:16:25:12
00:16:25:12
00:16:25:20
YES1A [MG]
00:16:25:20
00:16:25:27
MEANING1* bedeut
00:16:25:27
00:16:25:34
00:16:25:34
00:16:25:47
BREMEN1* bremen
00:16:25:47
00:16:26:04
00:16:26:04
00:16:26:32
NO2B [MG]
00:16:26:32
00:16:26:39
00:16:26:39
00:16:26:43
TO-COMPREHEND1 [MG]
00:16:26:43
00:16:26:46
$GEST^
00:16:26:46
00:16:27:01
00:16:27:01
00:16:27:04
00:16:27:04
00:16:27:07
INTEREST1A
00:16:27:07
00:16:27:15
INTEREST1A [MG]
00:16:27:15
00:16:27:19
00:16:27:19
00:16:27:28
00:16:27:28
00:16:27:34
$GEST-OFF^
00:16:27:34
00:16:28:03
00:16:28:03
00:16:28:19
We have cabbage tours, too. It is the same for Osnabrück as in Bremen.
00:16:28:19
00:16:28:28
ALSO1A auch
00:16:28:28
00:16:29:11
00:16:29:11
00:16:29:37
TO-DRIVE1^ kohl- und pinkelfahrt
00:16:29:37
00:16:29:46
00:16:29:46
00:16:30:01
AND2A
00:16:30:01
00:16:30:06
00:16:30:06
00:16:30:12
CROOKED1^*
00:16:30:12
00:16:30:18
00:16:30:18
00:16:30:23
TO-DRIVE1
00:16:30:23
00:16:30:35
00:16:30:35
00:16:31:11
EQUAL1A [MG]
00:16:31:11
00:16:31:25
00:16:31:25
00:16:32:22
$PROD*
00:16:32:22
00:16:32:28
But along the way, we “boßel” [Boßeln is a sport, typically played in Northern Germany].
00:16:32:28
00:16:32:47
BUT1 aber
00:16:32:47
00:16:33:12
00:16:33:12
00:16:33:18
WITH1A m{it}
00:16:33:18
00:16:33:33
00:16:33:33
00:16:34:04
IN-ADDITION1*
00:16:34:04
00:16:34:09
00:16:34:09
00:16:34:31
$NUM-ONE-TO-TEN1A:1d eins
00:16:34:31
00:16:35:16
00:16:35:16
00:16:36:14
NINE-PIN-BOWLING1^ würfel
00:16:36:14
00:16:36:33
00:16:36:33
00:16:36:43
You take a “Bollerwagen” [like a toy wagon] with you - just like you explained, but you also carry along the “Boßel-”balls with which you play on the street.
00:16:36:43
00:16:37:04
ALSO1A* auch
00:16:37:04
00:16:37:16
00:16:37:16
00:16:37:27
$ALPHA1:K*TO-PULL4^* kohlfahrt
00:16:37:27
00:16:37:35
00:16:37:35
00:16:37:40
TO-DRIVE1*
00:16:37:40
00:16:37:45
00:16:37:45
00:16:38:00
CROOKED1^*
00:16:38:00
00:16:38:06
00:16:38:06
00:16:38:08
$INDEX1
00:16:38:08
00:16:38:15
00:16:38:15
00:16:38:22
DIFFERENT1 an{ders}
00:16:38:22
00:16:38:26
ALSO1A auch
00:16:38:26
00:16:38:29
00:16:38:29
00:16:39:14
NINE-PIN-BOWLING1^ boller ball
00:16:39:14
00:16:39:18
00:16:39:18
00:16:39:22
You throw the ball over and over again, until you reach your final destination.
00:16:39:22
00:16:40:03
$PROD*
00:16:40:03
00:16:40:14
00:16:40:14
00:16:40:47
$PROD*
00:16:40:47
00:16:41:01
00:16:41:01
00:16:41:25
$INDEX1
00:16:41:25
00:16:41:32
That as well? ALSO1A auch
00:16:41:32
00:16:41:40
Did you know that? ALSO1A* auch
00:16:41:40
00:16:41:43
We have several games at our cabbage walks, though. $INDEX1
00:16:41:43
00:16:41:49
TO-OWN1* [MG]
00:16:41:49
00:16:42:06
00:16:42:06
00:16:42:12
JOURNEYMAN1 gesellschaftsspiel
00:16:42:12
00:16:42:18
00:16:42:18
00:16:42:22
TO-PLAY1
00:16:42:22
00:16:42:28
00:16:42:28
00:16:43:03
DIFFERENCE1B [MG]
00:16:43:03
00:16:43:14
00:16:43:14
00:16:43:20
JOURNEYMAN1 gesellschaft
00:16:43:20
00:16:43:25
00:16:43:25
00:16:43:32
BUT1 aber
00:16:43:32
00:16:43:37
00:16:43:37
00:16:43:39
They don't hold it all year round, just on occasion.
00:16:43:39
00:16:43:46
$ORAL^ aber
00:16:43:46
00:16:44:04
CABBAGE2 kohl{tour}
00:16:44:04
00:16:44:11
00:16:44:11
00:16:44:24
ALSO1A* auch
00:16:44:24
00:16:44:32
00:16:44:32
00:16:44:37
JOURNEYMAN1 gesellschaftsspiel
00:16:44:37
00:16:44:45
00:16:44:45
00:16:45:02
TO-PLAY1 YEAR2B jahr
00:16:45:02
00:16:45:11
00:16:45:11
00:16:45:12
00:16:45:12
00:16:45:16
DIFFERENCE1B [MG]
00:16:45:16
00:16:45:22
BETWEEN1B^*
00:16:45:22
00:16:45:30
00:16:45:30
00:16:45:43
EQUAL1A [MG]
00:16:45:43
00:16:45:47
00:16:45:47
00:16:46:12
00:16:46:12
00:16:46:38
ALWAYS4B* immer immer immer
00:16:46:38
00:16:46:49
00:16:46:49
00:16:47:31
NO1A*
00:16:47:31
00:16:47:37
00:16:47:37
00:16:47:41
CERTAIN1* b{estimmt}
00:16:47:41
00:16:47:47
00:16:47:47
00:16:48:10
TIME5A* zeit
00:16:48:10
00:16:48:17
00:16:48:17
00:16:48:35
DONE1B
00:16:48:35
00:16:48:49
00:16:48:49
00:16:49:07
ALSO3A auch
00:16:49:07
00:16:49:14
00:16:49:14
00:16:49:16
$GEST-OFF^
00:16:49:16
00:16:49:21
Apart from what people come up with otherwise, “Boßeln” is an actual tradition with a specific throwing technique. The goal is to throw the ball as far as possible.
00:16:49:21
00:16:49:35
00:16:49:35
00:17:01:19
00:17:01:19
00:17:01:35
Right, you can do a lot of things.
00:17:01:35
00:17:01:48
RIGHT-OR-AGREED1A
00:17:01:48
00:17:02:08
00:17:02:08
00:17:02:18
CERTAIN1 bestimmte
00:17:02:18
00:17:02:23
00:17:02:23
00:17:02:42
$INDEX1*
00:17:02:42
00:17:02:46
00:17:02:46
00:17:02:49
NOW1* jetzt
00:17:02:49
00:17:03:01
Luckily, I won't have to drink as much if I win.
00:17:03:01
00:17:03:10
00:17:03:10
00:17:03:16
NEW1B* neu $GEST^
00:17:03:16
00:17:03:17
00:17:03:17
00:17:03:23
00:17:03:23
00:17:03:24
FIST1^ [MG]
00:17:03:24
00:17:03:40
IN-ADDITION1* [MG]
00:17:03:40
00:17:03:47
00:17:03:47
00:17:04:03
TO-DRINK1
00:17:04:03
00:17:04:16
00:17:04:16
00:17:04:20
LITTLE-BIT4* wenig
00:17:04:20
00:17:04:29
YES1A
00:17:04:29
00:17:04:39
00:17:04:39
00:17:05:02
RELIEVED2 [MG]
00:17:05:02
00:17:05:12
If another person throws the ball closer to the aim, you need to drink several shots; it gets on your nerves after a while.
00:17:05:12
00:17:05:22
CLOSE-BY1B [MG]
00:17:05:22
00:17:05:29
00:17:05:29
00:17:05:36
EXHAUSTING1 [MG]
00:17:05:36
00:17:05:48
00:17:05:48
00:17:06:10
ON-PERSON1^
00:17:06:10
00:17:06:20
00:17:06:20
00:17:06:26
TO-DRINK2B*
00:17:06:26
00:17:07:02
00:17:07:02
00:17:08:08
THEN1A*
00:17:08:08
00:17:09:11
00:17:09:11
00:17:09:23
It is more common in rural areas, not so much in the city.
00:17:09:23
00:17:09:36
SPECIAL-OR-PARTICULARLY1A besonders
00:17:09:36
00:17:09:48
00:17:09:48
00:17:10:17
COUNTRY3B* land
00:17:10:17
00:17:10:27
00:17:10:27
00:17:10:34
CITY2* stadt
00:17:10:34
00:17:10:43
00:17:10:43
00:17:11:15
NO1A [MG]
00:17:11:15
00:17:11:24
00:17:11:24
00:17:11:35
COUNTRY3B* lande
00:17:11:35
00:17:11:47
00:17:11:47
00:17:12:14
FAR-AWAY1*
00:17:12:14
00:17:12:33
00:17:12:33
00:17:12:44
SPECIAL-OR-PARTICULARLY1A besonders
00:17:12:44
00:17:13:10
00:17:13:10
00:17:18:13
Are the people who live in the greater area of Osnabrück friendly?
00:17:18:13
00:17:19:43
Osnabrück is a normal town with 160,000 inhabitants.
00:17:19:43
00:17:20:05
OSNABRÜCK1 osnabrück
00:17:20:05
00:17:20:07
00:17:20:07
00:17:20:18
AN1A* eine
00:17:20:18
00:17:20:26
00:17:20:26
00:17:20:38
USUAL1 normale
00:17:20:38
00:17:20:48
00:17:20:48
00:17:21:17
CITY2 stadt
00:17:21:17
00:17:21:23
00:17:21:23
00:17:21:36
APPROXIMATELY2 ungefähr
00:17:21:36
00:17:21:47
00:17:21:47
00:17:22:07
$NUM-HUNDREDS1:1 hundertsechzigtausend
00:17:22:07
00:17:22:14
00:17:22:14
00:17:22:23
$NUM-TENS2A:6d
00:17:22:23
00:17:22:28
00:17:22:28
00:17:22:35
$NUM-THOUSANDS1:1*
00:17:22:35
00:17:22:44
00:17:22:44
00:17:23:35
APARTMENT1A^* einwohner
00:17:23:35
00:17:24:22
00:17:24:22
00:17:24:32
I think Osnabrück is a very friendly town.
00:17:24:32
00:17:24:40
MUCH-OR-MANY1A* viel
00:17:24:40
00:17:25:01
00:17:25:01
00:17:25:16
FRIENDLY2* freundliche
00:17:25:16
00:17:25:33
00:17:25:33
00:17:26:11
Did you know/ CITY2* stadt
00:17:26:11
00:17:26:25
00:17:26:25
00:17:26:36
FRIENDLY2* freundliche
00:17:26:36
00:17:26:43
00:17:26:43
00:17:27:04
CITY2* stadt
00:17:27:04
00:17:27:24
00:17:27:24
00:17:27:28
Hey/
00:17:27:28
00:17:27:30
YOU1*
00:17:27:30
00:17:27:34
00:17:27:34
00:17:27:41
$GEST-ATTENTION1^
00:17:27:41
00:17:27:46
Did you know that two years ago Osnabrück was said to be Germany's friendliest city?
00:17:27:46
00:17:28:02
YOU1*
00:17:28:02
00:17:28:11
00:17:28:11
00:17:28:19
TO-KNOW-OR-KNOWLEDGE2B
00:17:28:19
00:17:28:31
00:17:28:31
00:17:28:48
$NUM-YEAR-BEFORE-NOW1:2d* zwei jahr
00:17:28:48
00:17:29:15
00:17:29:15
00:17:29:31
TO-PRINT1^
00:17:29:31
00:17:29:35
00:17:29:35
00:17:30:00
Right.
00:17:30:00
00:17:30:12
FRIENDLY2* freundlich RIGHT-OR-AGREED1B stimmt
00:17:30:12
00:17:30:19
00:17:30:19
00:17:30:25
CITY2* s{tadt}
00:17:30:25
00:17:30:38
00:17:30:38
00:17:30:40
OSNABRÜCK1* os{nabrück}
00:17:30:40
00:17:31:01
00:17:31:01
00:17:31:11
CITY2 stadt
00:17:31:11
00:17:31:12
00:17:31:12
00:17:31:18
00:17:31:18
00:17:31:34
COUNTRY1A* deutschland
00:17:31:34
00:17:32:06
00:17:32:06
00:17:32:12
00:17:32:12
00:17:32:22
OSNABRÜCK1 osnabrück
00:17:32:22
00:17:32:29
00:17:32:29
00:17:32:38
$GEST^
00:17:32:38
00:17:33:09
00:17:33:09
00:17:33:18
I think it is true; it is a very friendly town.
00:17:33:18
00:17:33:20
YES1A*
00:17:33:20
00:17:33:21
00:17:33:21
00:17:33:26
It’s supposed to be the friendliest city.
00:17:33:26
00:17:33:32
SELF1A* selbst
00:17:33:32
00:17:33:38
00:17:33:38
00:17:33:44
RIGHT-OR-AGREED1A* stimmt
00:17:33:44
00:17:33:48
00:17:33:48
00:17:34:02
FRIENDLY2* freundlich
00:17:34:02
00:17:34:17
FRIENDLY2* freundlich
00:17:34:17
00:17:34:26
00:17:34:26
00:17:34:33
RIGHT-OR-AGREED1A stimmt
00:17:34:33
00:17:34:41
00:17:34:41
00:17:34:48
AREA1A* [MG]
00:17:34:48
00:17:35:12
CITY2 stadt
00:17:35:12
00:17:35:17
00:17:35:17
00:17:35:21
00:17:35:21
00:17:35:31
YES1A* [MG]
00:17:35:31
00:17:35:44
AREA1A^* deutschland
00:17:35:44
00:17:36:03
00:17:36:03
00:17:36:12
What a coincidence! It was said in the newspaper?
00:17:36:12
00:17:36:19
00:17:36:19
00:17:36:33
That’s what they wrote two years ago, yes. $INDEX1
00:17:36:33
00:17:36:42
00:17:36:42
00:17:37:06
$NUM-YEAR-BEFORE-NOW1:2d zwei
00:17:37:06
00:17:37:15
00:17:37:15
00:17:37:35
TO-PRINT1^
00:17:37:35
00:17:38:31
00:17:38:31
00:17:38:49
They had a survey, and the nicest people were supposed to live in Osnabrück.
00:17:38:49
00:17:39:07
SURVEY1* umfrage
00:17:39:07
00:17:39:14
00:17:39:14
00:17:39:22
00:17:39:22
00:17:39:36
RESEARCH1A
00:17:39:36
00:17:39:40
00:17:39:40
00:17:39:48
$INDEX1
00:17:39:48
00:17:40:19
00:17:40:19
00:17:40:25
BEAUTIFUL1A* schön
00:17:40:25
00:17:40:37
00:17:40:37
00:17:40:45
NICE1* n{ett}
00:17:40:45
00:17:41:10
00:17:41:10
00:17:41:16
NICE1 nett
00:17:41:16
00:17:41:22
00:17:41:22
00:17:41:35
$GEST^
00:17:41:35
00:17:43:03
00:17:43:03
00:17:43:08
$ORAL^ osnabrück
00:17:43:08
00:17:43:21
True.
00:17:43:21
00:17:43:27
YES1A*
00:17:43:27
00:17:43:28
00:17:43:28
00:17:43:44
00:17:43:44
00:17:44:03
That's interesting.
00:17:44:03
00:17:44:13
INTEREST1A interessant
00:17:44:13
00:17:44:17
00:17:44:17
00:17:44:20
$INDEX1
00:17:44:20
00:17:44:38
00:17:44:38
00:17:45:10
How strange that I've only been there once, even though I am from Bremen.
00:17:45:10
00:17:45:23
$ORAL^ aber
00:17:45:23
00:17:45:34
00:17:45:34
00:17:45:40
INTEREST1A
00:17:45:40
00:17:46:04
00:17:46:04
00:17:46:15
OSNABRÜCK1 osnabrück
00:17:46:15
00:17:46:26
00:17:46:26
00:17:46:32
$NUM-ONE-TO-TEN1A:2d
00:17:46:32
00:17:46:42
00:17:46:42
00:17:47:01
$NUM-ONE-TO-TEN1A:1d
00:17:47:01
00:17:47:04
00:17:47:04
00:17:47:18
BREMEN1 bremen
00:17:47:18
00:17:47:29
00:17:47:29
00:17:47:37
OSNABRÜCK1 osna{brück}
00:17:47:37
00:17:48:02
00:17:48:02
00:17:48:08
BEEN1 gewe{sen}
00:17:48:08
00:17:48:14
00:17:48:14
00:17:48:24
#Name1, or was it the both of you, no, I am pretty sure #it was Name1 who guided us.
00:17:48:24
00:17:48:38
$NAME #name1
00:17:48:38
00:17:49:00
00:17:49:00
00:17:49:06
YOU1* du
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00:17:49:08
00:17:49:08
00:17:49:19
BOTH2A beide
00:17:49:19
00:17:49:38
00:17:49:38
00:17:50:02
TO-LEAD1A führ
00:17:50:02
00:17:50:17
00:17:50:17
00:17:50:21
TO-BELIEVE2B glaube
00:17:50:21
00:17:50:26
00:17:50:26
00:17:50:34
$NAME #name1
00:17:50:34
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00:17:51:14
TO-LEAD1A führ
00:17:51:14
00:17:51:42
00:17:51:42
00:17:52:00
$INDEX1
00:17:52:00
00:17:52:13
00:17:52:13
00:17:52:18
TO-LEAD1A führen
00:17:52:18
00:17:52:21
00:17:52:21
00:17:52:25
BEEN1* ge{wesen}
00:17:52:25
00:17:52:28
00:17:52:28
00:17:52:42
$INDEX1
00:17:52:42
00:17:53:06
00:17:53:06
00:17:53:25
Even though Osnabrück and Bremen are quite close to each other, architecture and style differ quite a bit.
00:17:53:25
00:17:53:39
CITY2 stadt
00:17:53:39
00:17:54:05
00:17:54:05
00:17:54:11
DIFFERENT1* a{nders}
00:17:54:11
00:17:54:21
00:17:54:21
00:17:54:40
SHAPE1A* form
00:17:54:40
00:17:55:02
00:17:55:02
00:17:55:17
STYLE2* stil
00:17:55:17
00:17:55:29
00:17:55:29
00:17:55:39
DIFFERENT1* an{ders}
00:17:55:39
00:17:55:43
00:17:55:43
00:17:56:01
IF1 ob
00:17:56:01
00:17:56:03
00:17:56:03
00:17:56:13
CLOSE-BY4
00:17:56:13
00:17:56:18
00:17:56:18
00:17:56:25
I1
00:17:56:25
00:17:56:34
00:17:56:34
00:17:56:36
YOU1*
00:17:56:36
00:17:56:39
It is only 100 km.
00:17:56:39
00:17:57:02
$NUM-HUNDREDS1:1 hundert
00:17:57:02
00:17:57:15
00:17:57:15
00:17:57:18
KILOMETRE1*
00:17:57:18
00:17:57:33
00:17:57:33
00:17:58:22
BACK-AND-FORTH1^*
00:17:58:22
00:17:58:28
00:17:58:28
00:17:58:46
It's interesting that the style is so different in each city.
00:17:58:46
00:17:59:10
STYLE2* stil
00:17:59:10
00:17:59:29
00:17:59:29
00:18:00:06
DIFFERENT1 and{ers}
00:18:00:06
00:18:00:12
00:18:00:12
00:18:00:21
I1
00:18:00:21
00:18:00:36
00:18:00:36
00:18:01:22
DIFFERENT1 anderes
00:18:01:22
00:18:01:35
00:18:01:35
00:18:01:49
INTEREST1A interessant
00:18:01:49
00:18:02:17
00:18:02:17
00:18:02:44
The buildings in Bremen mostly look like those in the Bismarckstraße [a street in Osnabrück].
00:18:02:44
00:18:03:01
TYPICAL1* typisch
00:18:03:01
00:18:03:06
00:18:03:06
00:18:03:33
BREMEN1* bremen
00:18:03:33
00:18:03:39
00:18:03:39
00:18:03:46
TO-BELONG1^ da
00:18:03:46
00:18:04:02
00:18:04:02
00:18:04:27
TRADITION3 tradition
00:18:04:27
00:18:05:26
00:18:05:26
00:18:06:17
HOUSE1A* häuser
00:18:06:17
00:18:06:37
00:18:06:37
00:18:06:43
$PROD*
00:18:06:43
00:18:07:06
00:18:07:06
00:18:07:39
$INDEX4 [MG]
00:18:07:39
00:18:08:08
Right.
00:18:08:08
00:18:08:19
YES2
00:18:08:19
00:18:08:21
00:18:08:21
00:18:08:22
Just like the Bremer Straße in Schwachhausen.
00:18:08:22
00:18:08:34
AUTUMN1A^ schwachhausen
00:18:08:34
00:18:08:39
00:18:08:39
00:18:08:41
SERVICE-OR-DUTY3^* bismarkstraße
00:18:08:41
00:18:08:44
HOUSE1A*
00:18:08:44
00:18:09:03
00:18:09:03
00:18:09:08
STREET1*
00:18:09:08
00:18:09:10
00:18:09:10
00:18:09:18
00:18:09:18
00:18:09:20
BREMEN1 bremer straße
00:18:09:20
00:18:09:34
$INDEX1
00:18:09:34
00:18:09:44
00:18:09:44
00:18:10:02
STREET1
00:18:10:02
00:18:10:10
00:18:10:10
00:18:10:15
I didn't mean Bremer Straße, but the style of the houses in Bremen. Bremer Straße/
00:18:10:15
00:18:10:21
BREMEN1 bremen $GEST^
00:18:10:21
00:18:10:27
00:18:10:27
00:18:10:30
BREMEN1* bremer straße
00:18:10:30
00:18:10:33
00:18:10:33
00:18:10:35
00:18:10:35
00:18:10:43
STREET1*
00:18:10:43
00:18:10:45
00:18:10:45
00:18:10:48
00:18:10:48
00:18:11:02
BREMEN1*
00:18:11:02
00:18:11:08
00:18:11:08
00:18:11:19
BREMEN1* bremer straße
00:18:11:19
00:18:11:24
00:18:11:24
00:18:11:29
STREET1
00:18:11:29
00:18:11:32
00:18:11:32
00:18:11:35
NO2B*
00:18:11:35
00:18:11:43
00:18:11:43
00:18:12:07
BREMEN1 bremer haus
00:18:12:07
00:18:12:17
00:18:12:17
00:18:12:33
HOUSE1A
00:18:12:33
00:18:12:45
00:18:12:45
00:18:13:03
That's different! I like the Bremer Haus [a hotel in Bremen].
00:18:13:03
00:18:13:07
BREMEN1* bremer haus
00:18:13:07
00:18:13:10
00:18:13:10
00:18:13:15
DIFFERENT1 anderes
00:18:13:15
00:18:13:25
HOUSE1A
00:18:13:25
00:18:13:28
00:18:13:28
00:18:13:34
$INDEX1
00:18:13:34
00:18:13:44
00:18:13:44
00:18:14:00
00:18:14:00
00:18:14:01
I2
00:18:14:01
00:18:14:05
Right!
00:18:14:05
00:18:14:10
00:18:14:10
00:18:14:36
TO-LIKE4 mag
00:18:14:36
00:18:14:39
YES2 But those streets of houses are characteristic of Bremen.
00:18:14:39
00:18:15:10
STREET1*
00:18:15:10
00:18:15:19
00:18:15:19
00:18:15:26
00:18:15:26
00:18:15:36
TYPICAL1* typisch
00:18:15:36
00:18:15:39
YES2
00:18:15:39
00:18:15:48
TO-BELONG1^
00:18:15:48
00:18:16:06
00:18:16:06
00:18:16:17
Osnabrück has its own specific architectural style.
00:18:16:17
00:18:16:29
OSNABRÜCK1 osnabrück
00:18:16:29
00:18:16:34
00:18:16:34
00:18:16:39
$INDEX1
00:18:16:39
00:18:16:46
00:18:16:46
00:18:17:01
TO-BE-SILENT3^* stil
00:18:17:01
00:18:17:05
00:18:17:05
00:18:17:07
TYPICAL1* typisch
00:18:17:07
00:18:17:16
00:18:17:16
00:18:17:24
00:18:17:24
00:18:17:30
There are some mountains in the North of Osnabrück, quite close to the city.
00:18:17:30
00:18:17:40
$ALPHA1:D* d{eponie}
00:18:17:40
00:18:18:03
00:18:18:03
00:18:18:08
FROM-OR-BY-OR-OF4 von
00:18:18:08
00:18:18:31
00:18:18:31
00:18:18:44
CLOSE-BY1B* [MG]
00:18:18:44
00:18:19:00
00:18:19:00
00:18:19:05
OSNABRÜCK1* osnabrück
00:18:19:05
00:18:19:11
00:18:19:11
00:18:19:23
CITY2*
00:18:19:23
00:18:19:28
00:18:19:28
00:18:20:09
$INDEX1*LOCATION3* [MG]
00:18:20:09
00:18:20:20
00:18:20:20
00:18:21:01
MOUNTAIN3 berg
00:18:21:01
00:18:21:03
There is a waste disposal site nowadays.
00:18:21:03
00:18:21:07
IN1 im
00:18:21:07
00:18:21:15
00:18:21:15
00:18:21:20
MOMENT1 moment
00:18:21:20
00:18:21:36
00:18:21:36
00:18:22:05
GARBAGE3 mülldeponie
00:18:22:05
00:18:22:19
00:18:22:19
00:18:22:37
$ALPHA1:D
00:18:22:37
00:18:22:49
00:18:22:49
00:18:23:15
GARBAGE3 mülldeponie
00:18:23:15
00:18:23:20
00:18:23:20
00:18:23:37
$ALPHA1:D$INDEX1
00:18:23:37
00:18:23:47
00:18:23:47
00:18:24:01
They used to dig up rocks.
00:18:24:01
00:18:24:26
EXCAVATOR1* [MG]
00:18:24:26
00:18:24:34
00:18:24:34
00:18:25:04
STONE6* stein
00:18:25:04
00:18:25:24
00:18:25:24
00:18:25:47
$PROD* [MG]
00:18:25:47
00:18:26:02
00:18:26:02
00:18:26:04
$GEST^
00:18:26:04
00:18:26:11
Big yellow rocks.
00:18:26:11
00:18:26:17
YELLOW5* gelb
00:18:26:17
00:18:26:28
00:18:26:28
00:18:26:32
STONE6*$PROD* stein
00:18:26:32
00:18:26:40
00:18:26:40
00:18:27:19
STONE1
00:18:27:19
00:18:27:31
00:18:27:31
00:18:27:47
$PROD*
00:18:27:47
00:18:28:00
00:18:28:00
00:18:28:02
They used those in the past to build houses.
00:18:28:02
00:18:28:09
$INDEX1
00:18:28:09
00:18:28:16
00:18:28:16
00:18:28:23
PAST-OR-BACK-THEN1* früh
00:18:28:23
00:18:28:30
00:18:28:30
00:18:29:22
BUILDING-OR-CONSTRUCTION2A* bauen
00:18:29:22
00:18:29:27
00:18:29:27
00:18:29:48
HOUSE1A haus
00:18:29:48
00:18:30:15
00:18:30:15
00:18:30:19
The rocks the town hall is made of are from there, as well, because the mining area is nearby.
00:18:30:19
00:18:30:34
HENCE1 [MG]
00:18:30:34
00:18:30:47
00:18:30:47
00:18:31:01
YELLOW5 [MG]
00:18:31:01
00:18:31:06
00:18:31:06
00:18:31:21
SOMETIMES2* manchmal
00:18:31:21
00:18:31:27
00:18:31:27
00:18:31:31
$ALPHA1:R rathaus
00:18:31:31
00:18:31:37
00:18:31:37
00:18:32:04
HOUSE1A
00:18:32:04
00:18:32:19
00:18:32:19
00:18:32:21
YELLOW5* gelb
00:18:32:21
00:18:32:38
00:18:32:38
00:18:33:19
TO-PILE1A^* stein
00:18:33:19
00:18:33:30
00:18:33:30
00:18:33:36
HENCE1 [MG]
00:18:33:36
00:18:33:46
00:18:33:46
00:18:34:01
YELLOW5 gelb
00:18:34:01
00:18:34:05
00:18:34:05
00:18:34:12
BUILDING-OR-CONSTRUCTION2A*
00:18:34:12
00:18:34:21
00:18:34:21
00:18:34:30
NEXT-TO2 [MG]
00:18:34:30
00:18:34:42
00:18:34:42
00:18:35:40
$INDEX1*
00:18:35:40
00:18:36:02
00:18:36:02
00:18:36:16
$GEST-OFF^
00:18:36:16
00:18:36:29
00:18:36:29
00:18:37:46
00:18:37:46
00:18:42:03
Are there many tourists coming to Osnabrück?
00:18:42:03
00:18:42:20
The number of tourists coming to Osnabrück is ordinary - no mass tourism.
00:18:42:20
00:18:42:24
SELF1A selbst
00:18:42:24
00:18:42:27
00:18:42:27
00:18:42:30
PAST-OR-BACK-THEN1* früher
00:18:42:30
00:18:42:38
00:18:42:38
00:18:43:02
UNTIL-NOW1 bis
00:18:43:02
00:18:43:13
00:18:43:13
00:18:43:16
TO-SEE1
00:18:43:16
00:18:43:26
00:18:43:26
00:18:43:38
USUAL1 normal
00:18:43:38
00:18:44:03
00:18:44:03
00:18:44:16
TOURIST1 tourist
00:18:44:16
00:18:44:21
00:18:44:21
00:18:44:27
REALLY2* [MG]
00:18:44:27
00:18:44:36
00:18:44:36
00:18:45:01
POWER3 macht
00:18:45:01
00:18:45:13
00:18:45:13
00:18:45:21
TOURIST1* tourist
00:18:45:21
00:18:45:31
00:18:45:31
00:18:45:45
NO1A* [MG]
00:18:45:45
00:18:45:46
00:18:45:46
00:18:46:08
Bremen doesn't have that many tourists either.
00:18:46:08
00:18:46:19
00:18:46:19
00:18:47:24
BREMEN1* [MG]
00:18:47:24
00:18:48:00
00:18:48:00
00:18:48:10
MUSCLE3^ [MG]
00:18:48:10
00:18:48:15
00:18:48:15
00:18:48:23
HERE1
00:18:48:23
00:18:48:30
00:18:48:30
00:18:49:09
$INDEX1
00:18:49:09
00:18:49:12
00:18:49:12
00:18:49:22
Yes, the number is rising. Still, there aren't that many. HERE1 [MG]
00:18:49:22
00:18:49:27
00:18:49:27
00:18:49:43
TO-OWN1 [MG] Although, the number of visitors keeps on rising. $ORAL^ aber
00:18:49:43
00:18:49:44
00:18:49:44
00:18:50:06
INCREASE3 steig steig steig
00:18:50:06
00:18:50:20
NOW3* j{etzt}
00:18:50:20
00:18:50:29
00:18:50:29
00:18:50:46
MORE8A* steigt steigt
00:18:50:46
00:18:51:00
00:18:51:00
00:18:51:09
BUT1* ab{er}
00:18:51:09
00:18:51:11
00:18:51:11
00:18:51:14
Hamburg and Berlin have tons of tourists compared to Bremen.
00:18:51:14
00:18:51:27
MUSCLE3^ [MG]
00:18:51:27
00:18:51:36
00:18:51:36
00:18:51:44
00:18:51:44
00:18:52:00
HAMBURG2 hamburg
00:18:52:00
00:18:52:11
00:18:52:11
00:18:52:24
BERLIN1A* berlin
00:18:52:24
00:18:52:30
00:18:52:30
00:18:52:38
$INDEX1
00:18:52:38
00:18:52:45
00:18:52:45
00:18:53:16
PRIMARILY1
00:18:53:16
00:18:53:21
00:18:53:21
00:18:53:30
LEVEL-OR-STANDARD1 niveau
00:18:53:30
00:18:53:37
00:18:53:37
00:18:53:42
HERE1 hier
00:18:53:42
00:18:54:01
00:18:54:01
00:18:54:06
BREMEN1*
00:18:54:06
00:18:54:11
00:18:54:11
00:18:54:23
NO2A nein
00:18:54:23
00:18:54:31
ALSO1A* auch
00:18:54:31
00:18:54:36
00:18:54:36
00:18:54:44
PRESENT-OR-HERE1
00:18:54:44
00:18:54:45
00:18:54:45
00:18:55:05
The number rises.
00:18:55:05
00:18:55:10
$INDEX1 [MG]
00:18:55:10
00:18:55:15
00:18:55:15
00:18:55:30
MORE8A* mehr mehr
00:18:55:30
00:18:55:31
00:18:55:31
00:18:55:33
Some places, like Bremerhaven, or the “Universum” [science museum in Bremen] are popular.
00:18:55:33
00:18:55:38
$INDEX1
00:18:55:38
00:18:55:42
00:18:55:42
00:18:56:03
BREMEN1* bremerhaven
00:18:56:03
00:18:56:12
00:18:56:12
00:18:56:19
HARBOUR2*
00:18:56:19
00:18:56:26
00:18:56:26
00:18:56:28
$INDEX1*
00:18:56:28
00:18:56:31
00:18:56:31
00:18:56:37
GOOD4^
00:18:56:37
00:18:56:45
00:18:56:45
00:18:56:48
$INDEX1 universum
00:18:56:48
00:18:57:06
00:18:57:06
00:18:57:15
UNIVERSITY1*
00:18:57:15
00:18:57:29
$PROD*
00:18:57:29
00:18:57:31
00:18:57:31
00:18:57:39
$INDEX1
00:18:57:39
00:18:58:07
00:18:58:07
00:18:58:20
CERTAIN1* bestimmte
00:18:58:20
00:18:58:28
00:18:58:28
00:18:58:34
$GEST^
00:18:58:34
00:18:58:43
00:18:58:43
00:18:59:08
Osnabrück has some interesting museums.
00:18:59:08
00:18:59:14
AND5* und
00:18:59:14
00:18:59:25
00:18:59:25
00:19:00:26
MUSEUM1 museum
00:19:00:26
00:19:00:38
00:19:00:38
00:19:01:34
INTEREST1B interessant
00:19:01:34
00:19:01:43
00:19:01:43
00:19:01:49
MUSEUM1* museum
00:19:01:49
00:19:02:07
00:19:02:07
00:19:02:18
OSNABRÜCK1* osnabrück
00:19:02:18
00:19:02:27
00:19:02:27
00:19:02:44
INTEREST1B interessant
00:19:02:44
00:19:03:03
00:19:03:03
00:19:03:26
MUSEUM1 museum
00:19:03:26
00:19:03:37
00:19:03:37
00:19:03:44
Especially, those about Osnabrück's history.
00:19:03:44
00:19:04:14
SPECIAL-OR-PARTICULARLY1A besonders
00:19:04:14
00:19:04:22
00:19:04:22
00:19:04:29
FROM-OR-BY-OR-OF2 von der
00:19:04:29
00:19:04:34
00:19:04:34
00:19:05:12
HISTORY-OR-STORY3* geschichte
00:19:05:12
00:19:05:18
00:19:05:18
00:19:05:33
OSNABRÜCK1* osnabrück
00:19:05:33
00:19:05:40
00:19:05:40
00:19:06:24
TO-BELONG1^LOCATION3*
00:19:06:24
00:19:06:30
00:19:06:30
00:19:06:36
There is a historical retrospective on the time shortly before the war and on the epochs prior to that.
00:19:06:36
00:19:07:11
WAR1A krieg
00:19:07:11
00:19:07:24
00:19:07:24
00:19:07:40
BEFOREHAND2 vor
00:19:07:40
00:19:07:48
00:19:07:48
00:19:08:04
WHAT-DOES-IT-LOOK-LIKE1 wie aus
00:19:08:04
00:19:08:15
00:19:08:15
00:19:09:23
BEFOREHAND2* vor vor vor
00:19:09:23
00:19:09:27
It is quite interesting; you can view the entire history.
00:19:09:27
00:19:10:08
$INDEX1*PROCEEDING1^* [MG]
00:19:10:08
00:19:10:12
00:19:10:12
00:19:10:40
INTEREST1A interessant
00:19:10:40
00:19:11:02
00:19:11:02
00:19:11:06
ATTENTION1A^*
00:19:11:06
00:19:11:19
00:19:11:19
00:19:11:28
That's not too bad, but it is solely about the city, not about its surroundings.
00:19:11:28
00:19:11:31
NOT3B* nicht
00:19:11:31
00:19:11:37
00:19:11:37
00:19:11:40
BAD-OR-STALE1* schlecht
00:19:11:40
00:19:12:30
00:19:12:30
00:19:12:34
WHY3B* warum
00:19:12:34
00:19:12:38
00:19:12:38
00:19:13:02
COUNTRY1A* land
00:19:13:02
00:19:13:04
00:19:13:04
00:19:13:08
ONLY2A* nur
00:19:13:08
00:19:13:16
00:19:13:16
00:19:13:23
CITY2* stadt
00:19:13:23
00:19:13:33
00:19:13:33
00:19:13:37
OSNABRÜCK1* osnabrück
00:19:13:37
00:19:13:41
00:19:13:41
00:19:14:24
TO-BELONG1^LOCATION3*
00:19:14:24
00:19:14:27
00:19:14:27
00:19:14:33
It is a large museum.
00:19:14:33
00:19:14:49
BIG3B groß
00:19:14:49
00:19:15:04
00:19:15:04
00:19:15:11
NOT3A*
00:19:15:11
00:19:15:15
00:19:15:15
00:19:15:25
SMALL11 klein
00:19:15:25
00:19:15:31
00:19:15:31
00:19:16:00
BIG3B groß
00:19:16:00
00:19:16:31
00:19:16:31
00:19:17:00
Actually, there are two museums on that topic.
00:19:17:00
00:19:17:03
$NUM-ONE-TO-TEN1A:2 zwei
00:19:17:03
00:19:17:08
00:19:17:08
00:19:17:15
MUSEUM1* museum
00:19:17:15
00:19:17:22
00:19:17:22
00:19:18:21
LOCATION1A^*
00:19:18:21
00:19:18:49
00:19:18:49
00:19:19:14
There are some other museums, as well.
00:19:19:14
00:19:19:21
MORE1$NUM-ONE-TO-TEN1A:2d noch mehr
00:19:19:21
00:19:19:26
00:19:19:26
00:19:19:43
MUSEUM1TO-LIST1C^ museum
00:19:19:43
00:19:19:48
00:19:19:48
00:19:20:01
I haven't been there in a really long time. I would have to go there again to be able to talk about what they exhibit.
00:19:20:01
00:19:20:05
I1
00:19:20:05
00:19:20:12
00:19:20:12
00:19:20:38
LONG-TIME2 lange
00:19:20:38
00:19:20:48
00:19:20:48
00:19:21:04
ONCE-AGAIN2B noch mal
00:19:21:04
00:19:21:12
00:19:21:12
00:19:21:16
TO-LOOK1* schauen
00:19:21:16
00:19:21:22
00:19:21:22
00:19:21:30
INTO2*
00:19:21:30
00:19:21:38
00:19:21:38
00:19:21:49
WHAT1B was
00:19:21:49
00:19:22:20
00:19:22:20
00:19:22:34
00:19:22:34
00:19:25:10
How many inhabitants does Bremen have?
00:19:25:10
00:19:26:15
Bremen has a population of approximately 650,000 or 750,000.
00:19:26:15
00:19:26:31
BREMEN1* bremen
00:19:26:31
00:19:26:36
00:19:26:36
00:19:27:10
APPROXIMATELY1* [MG]
00:19:27:10
00:19:27:24
00:19:27:24
00:19:28:04
00:19:28:04
00:19:28:14
$NUM-HUNDREDS1:6d* sechshundertfünfzigtausend
00:19:28:14
00:19:28:18
00:19:28:18
00:19:28:26
$NUM-TENS2A:5*
00:19:28:26
00:19:28:34
00:19:28:34
00:19:28:44
$NUM-THOUSANDS1:1*
00:19:28:44
00:19:28:49
00:19:28:49
00:19:29:11
$NUM-HUNDREDS1:7d* siebenhundertfünfzig
00:19:29:11
00:19:29:17
00:19:29:17
00:19:29:37
$NUM-TENS2A:5*
00:19:29:37
00:19:29:45
No, it's 650,000 or 700,000.
00:19:29:45
00:19:30:04
ATTENTION1A^*
00:19:30:04
00:19:30:14
00:19:30:14
00:19:30:24
$NUM-HUNDREDS1:6d sechshundertfünfzig
00:19:30:24
00:19:30:27
00:19:30:27
00:19:30:33
$NUM-TENS2A:5*
00:19:30:33
00:19:30:37
00:19:30:37
00:19:31:01
OR1* oder
00:19:31:01
00:19:31:04
It must be 650,000. Bremerhaven has a population of 150,000, and Bremen has 500,000 inhabitants.
00:19:31:04
00:19:31:18
$NUM-HUNDREDS1:7d siebenhunderttausend
00:19:31:18
00:19:31:25
00:19:31:25
00:19:31:41
$NUM-THOUSANDS1:1* $NUM-HUNDREDS1:6d sechshunderfünfzigtausend
00:19:31:41
00:19:31:46
00:19:31:46
00:19:32:06
00:19:32:06
00:19:32:15
$NUM-TENS2A:5
00:19:32:15
00:19:32:23
00:19:32:23
00:19:32:36
$NUM-THOUSANDS1:1*
00:19:32:36
00:19:33:03
00:19:33:03
00:19:33:16
$NUM-HUNDREDS1:6d hundertfünfzigtausend
00:19:33:16
00:19:33:29
00:19:33:29
00:19:33:37
$NUM-TENS2A:5
00:19:33:37
00:19:33:41
00:19:33:41
00:19:34:01
$NUM-THOUSANDS1:1*
00:19:34:01
00:19:34:06
00:19:34:06
00:19:34:28
$NUM-HUNDREDS1:1d* einhundertfünfzigtausend
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00:19:34:31
00:19:34:38
$NUM-TENS2A:5
00:19:34:38
00:19:34:49
00:19:34:49
00:19:35:11
$NUM-THOUSANDS1:1*
00:19:35:11
00:19:35:29
00:19:35:29
00:19:35:34
BREMEN1* bremerhaven
00:19:35:34
00:19:35:41
00:19:35:41
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HARBOUR2*
00:19:35:43
00:19:36:00
00:19:36:00
00:19:36:10
$INDEX1
00:19:36:10
00:19:36:30
00:19:36:30
00:19:36:35
HERE1
00:19:36:35
00:19:36:45
00:19:36:45
00:19:37:08
BREMEN1 bremen
00:19:37:08
00:19:37:21
00:19:37:21
00:19:37:29
$NUM-HUNDREDS1:5 fünfhunderttausend
00:19:37:29
00:19:37:33
00:19:37:33
00:19:37:45
$NUM-THOUSANDS1:1*
00:19:37:45
00:19:38:31
00:19:38:31
00:19:39:29
00:19:39:29
00:19:39:45
Osnabrück has a lower population, doesn't it?
00:19:39:45
00:19:39:47
$INDEX1
00:19:39:47
00:19:40:06
00:19:40:06
00:19:40:13
OSNABRÜCK1* osna{brück}
00:19:40:13
00:19:40:22
00:19:40:22
00:19:40:35
LITTLE-BIT4 [MG]
00:19:40:35
00:19:40:47
00:19:40:47
00:19:41:11
$INDEX1 160,000.
00:19:41:11
00:19:41:15
$NUM-HUNDREDS1:1 hundertsechzigtausend
00:19:41:15
00:19:41:18
00:19:41:18
00:19:41:26
00:19:41:26
00:19:41:34
$NUM-TENS2A:6d
00:19:41:34
00:19:41:43
00:19:41:43
00:19:42:03
$NUM-THOUSANDS1:1*
00:19:42:03
00:19:42:15
00:19:42:15
00:19:42:17
00:19:42:17
00:19:42:44
That's nothing!
00:19:42:44
00:19:43:01
ROUND6A^* [MG]
00:19:43:01
00:19:43:09
What's a large town close to Osnabrück?
00:19:43:09
00:19:43:25
00:19:43:25
00:19:45:45
00:19:45:45
00:19:47:13
In Lower Saxony?
00:19:47:13
00:19:47:47
$GEST^ ach so
00:19:47:47
00:19:47:48
00:19:47:48
00:19:48:03
TO-BELONG1^*
00:19:48:03
00:19:48:04
00:19:48:04
00:19:48:15
00:19:48:15
00:19:48:31
LOWER-SAXONY1A* niedersachsen
00:19:48:31
00:19:49:14
00:19:49:14
00:19:49:32
ROUND4A^
00:19:49:32
00:19:49:36
00:19:49:36
00:19:49:45
That would be Hanover; followed by the next largest cities Hildesheim, Göttingen, Osnabrück, Oldenburg/
00:19:49:45
00:19:50:09
HANOVER1* hannover
00:19:50:09
00:19:50:16
00:19:50:16
00:19:52:32
$INDEX1
00:19:52:32
00:19:52:45
00:19:52:45
00:19:53:01
I1
00:19:53:01
00:19:53:08
00:19:53:08
00:19:53:35
TO-WAVER1 [MG]
00:19:53:35
00:19:54:03
00:19:54:03
00:19:54:39
HILDESHEIM3A* hildesheim
00:19:54:39
00:19:55:04
00:19:55:04
00:19:55:40
GÖTTINGEN1B göttingen
00:19:55:40
00:19:56:24
00:19:56:24
00:19:56:36
Kassel, maybe?
00:19:56:36
00:19:56:41
OSNABRÜCK1* osna{brück}
00:19:56:41
00:19:56:49
TITLE-LABEL1A^ kassel
00:19:56:49
00:19:57:17
00:19:57:17
00:19:57:25
00:19:57:25
00:19:57:35
MAYBE1 OLDENBURG1B$INDEX1 oldenburg
00:19:57:35
00:19:57:49
00:19:57:49
00:19:58:18
TITLE-LABEL1A^*
00:19:58:18
00:19:58:24
00:19:58:24
00:19:58:28
Right, not Kassel; I've got that one wrong. No, Kassel is located in Hesse.
00:19:58:28
00:19:58:32
NO1A*
00:19:58:32
00:19:58:36
TITLE-LABEL1A^ kassel
00:19:58:36
00:19:58:40
00:19:58:40
00:19:58:46
00:19:58:46
00:19:58:47
NO1A
00:19:58:47
00:19:59:03
SASH1D^* kassel
00:19:59:03
00:19:59:05
00:19:59:05
00:19:59:11
00:19:59:11
00:19:59:16
NO2B
00:19:59:16
00:19:59:25
HESSE1A hessen
00:19:59:25
00:19:59:30
TO-KNOW-STH-OR-SB1A*
00:19:59:30
00:19:59:41
NO2B*
00:19:59:41
00:20:00:03
00:20:00:03
00:20:00:11
I'm not sure about the second largest city, though.
00:20:00:11
00:20:00:15
$INDEX1*
00:20:00:15
00:20:00:31
$GEST^
00:20:00:31
00:20:01:06
00:20:01:06
00:20:01:10
00:20:01:10
00:20:01:12
I2
00:20:01:12
00:20:01:26
TO-WAVER1* [MG]
00:20:01:26
00:20:01:34
00:20:01:34
00:20:02:30
$INDEX1*
00:20:02:30
00:20:02:42
00:20:02:42
00:20:02:44
Those cities don't differ greatly in number of inhabitants anyways.
00:20:02:44
00:20:03:01
AVERAGE1A durchschnitt
00:20:03:01
00:20:03:10
00:20:03:10
00:20:03:22
DIFFERENCE2*
00:20:03:22
00:20:03:31
00:20:03:31
00:20:03:36
AVERAGE1A durchschnitt
00:20:03:36
00:20:03:41
00:20:03:41
00:20:04:00
DIFFERENCE2*
00:20:04:00
00:20:04:06
00:20:04:06
00:20:04:36
$INDEX1*
00:20:04:36
00:20:04:40
00:20:04:40
00:20:04:46
AVERAGE1A durchschnitt
00:20:04:46
00:20:05:01
00:20:05:01
00:20:05:07
$GEST^
00:20:05:07
00:20:05:23
00:20:05:23
00:20:06:13
00:20:06:13
00:20:06:21
Still, Osnabrück is larger than Oldenburg.
00:20:06:21
00:20:06:36
$INDEX1
00:20:06:36
00:20:06:49
00:20:06:49
00:20:08:07
OLDENBURG1B oldenburg
00:20:08:07
00:20:08:16
00:20:08:16
00:20:08:22
$INDEX1 osnabrück
00:20:08:22
00:20:08:28
00:20:08:28
00:20:08:33
OSNABRÜCK1*
00:20:08:33
00:20:08:38
00:20:08:38
00:20:08:45
BIG3A* groß
00:20:08:45
00:20:09:00
00:20:09:00
00:20:09:05
AS-OR-THAN3 als
00:20:09:05
00:20:09:08
00:20:09:08
00:20:09:27
OLDENBURG1B oldenburg
00:20:09:27
00:20:09:34
That's not true at the moment.
00:20:09:34
00:20:09:38
$GEST^
00:20:09:38
00:20:09:42
00:20:09:42
00:20:09:46
NOW1 jetzt
00:20:09:46
00:20:10:07
00:20:10:07
00:20:10:11
MOMENT1 moment
00:20:10:11
00:20:10:19
00:20:10:19
00:20:10:27
NOT-ANYMORE1B nicht mehr
00:20:10:27
00:20:10:45
Oldenburg is larger than Osnabrück? Where have you heard that?
00:20:10:45
00:20:10:47
00:20:10:47
00:20:11:01
OSNABRÜCK1* oldenburg
00:20:11:01
00:20:11:03
00:20:11:03
00:20:11:06
NOW1 j{etzt}
00:20:11:06
00:20:11:10
OLDENBURG1B*
00:20:11:10
00:20:11:19
Yes, Osnabrück is no longer the bigger city.
00:20:11:19
00:20:11:26
BIG3A* groß
00:20:11:26
00:20:11:36
$INDEX1 ja
00:20:11:36
00:20:12:28
00:20:12:28
00:20:12:33
00:20:12:33
00:20:12:45
NOT-ANYMORE1B nicht mehr
00:20:12:45
00:20:13:17
00:20:13:17
00:20:13:21
BEAUTIFUL3 schön
00:20:13:21
00:20:13:24
00:20:13:24
00:20:13:33
00:20:13:33
00:20:13:42
TO-SEE1
00:20:13:42
00:20:14:02
$INDEX1
00:20:14:02
00:20:14:19
00:20:14:19
00:20:17:14
00:20:17:14
00:20:17:27
Osnabrück is situated beautifully.
00:20:17:27
00:20:17:31
RIGHT-OR-AGREED1A stimmt
00:20:17:31
00:20:17:35
00:20:17:35
00:20:17:43
$INDEX1
00:20:17:43
00:20:18:00
00:20:18:00
00:20:18:09
$NUM-ONE-TO-TEN1A:1d eins
00:20:18:09
00:20:18:15
00:20:18:15
00:20:18:22
BEAUTIFUL1A schön
00:20:18:22
00:20:18:29
00:20:18:29
00:20:18:46
LANDSCAPE1* landschaft
00:20:18:46
00:20:19:05
00:20:19:05
00:20:19:10
RIGHT-OR-AGREED1A stimm
00:20:19:10
00:20:19:18
00:20:19:18
00:20:19:33
CLOSE-BY1B* [MG]
00:20:19:33
00:20:19:40
00:20:19:40
00:20:19:44
It is great for riding a motorcycle.
00:20:19:44
00:20:19:48
I1
00:20:19:48
00:20:20:01
00:20:20:01
00:20:20:06
$GEST^
00:20:20:06
00:20:20:12
00:20:20:12
00:20:20:20
$INDEX1
00:20:20:20
00:20:20:23
00:20:20:23
00:20:20:29
FEELING3*
00:20:20:29
00:20:20:33
00:20:20:33
00:20:20:38
$GEST^
00:20:20:38
00:20:20:42
00:20:20:42
00:20:20:46
I2*
00:20:20:46
00:20:21:01
00:20:21:01
00:20:21:05
TOGETHER1A
00:20:21:05
00:20:21:08
00:20:21:08
00:20:21:13
MOTORCYCLE1A* mo{torrad}
00:20:21:13
00:20:21:19
00:20:21:19
00:20:21:31
$PROD*
00:20:21:31
00:20:22:03
00:20:22:03
00:20:22:12
BEAUTIFUL1A* schö{n}
00:20:22:12
00:20:22:13
00:20:22:13
00:20:22:18
There are some great opportunities for biking nearby.
00:20:22:18
00:20:22:30
CLOSE-BY1B* [MG]
00:20:22:30
00:20:22:37
00:20:22:37
00:20:23:06
POSSIBLE1* möglich
00:20:23:06
00:20:23:13
00:20:23:13
00:20:23:24
RIGHT-OR-AGREED1A stimmt
00:20:23:24
00:20:23:39
00:20:23:39
00:20:24:10
The area is great for biking!
00:20:24:10
00:20:24:16
I1 für
00:20:24:16
00:20:24:32
00:20:24:32
00:20:24:38
MOTORCYCLE1A* motorradtour
00:20:24:38
00:20:24:42
00:20:24:42
00:20:25:00
TOURIST1*
00:20:25:00
00:20:25:03
00:20:25:03
00:20:25:09
SUPER2 [MG]
00:20:25:09
00:20:25:36

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