DOI: 10.25592/dgs.corpus-4.0-text-1180339-16161232-16363818

1180339… (hb01): Regional Specialities

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

Time Translation Lexem/Gebärde Mouth Translation Lexeme/Sign Mouth Moderator
right hand left hand right hand left hand
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I am from Bremen.
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MY1*
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HOMELAND2 heimat
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$GEST^
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BREMEN1 bremen
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$GEST-OFF1^
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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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$GEST^ [MG]
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BREMEN1 bremen
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NOW3 jetzt
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I1
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TO-KNOW-STH2B weiß
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BREMEN1 bremen
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$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 schön
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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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$GEST^
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TO-STRIKE1A^ schön
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LANDSCAPE1* landschaft
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ONLY2B* nu{r}
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There are plenty of trees. You can go for a walk, or you can go hiking, as well.
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PRIMARILY1 [MG]
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TREE2B* baum
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$GEST^
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TO-GO-FOR-A-WALK2B* spazieren
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PRESENT-OR-HERE1* da
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TO-HIKE3 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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$GEST^
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Though the good thing about it is that you don't have to bike uphill; that would be utterly exhausting.
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ONLY2A nur
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BICYCLE1 fahrrad
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TO-FIND-STH-GREAT2* [MG]
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$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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SYKE1 syke
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$ALPHA1:W-E wey{he}
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BIT2A bissch{en}
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WEIRD-STRANGE3* [MG]
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A nature park is located in the South-West, near Wildeshausen.
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CLOSE-BY1B* [MG]
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GAME-ANIMALS6^ wildeshausen
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$MORPH-HAUSEN1*
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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-BIT9* wenig
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TREE2B*
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TO-STRIKE1A auffallen
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$INIT-CIRCLE1^* weserland
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AREA1A*
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There are very few trees.
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PRIMARILY1 [MG]
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LITTLE-BIT9* [MG]
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TREE2A* baum
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LITTLE-BIT9 [MG]
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AREA1A*
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BORDER1B^*
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There are some great museums located in Bremen.
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BREMEN1* bremen
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PRESENT-OR-HERE1 [MG]
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BEAUTIFUL1B schön
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$GEST^
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MUSEUM1 museum
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$GEST-OFF1^
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Like any other city, Bremen holds various exhibitions on the historic city center, or on local history, such as the “Roland” [a statue in the market square of Bremen].
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EVERYONE1B* jede
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CITY2 stadt
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MUSEUM1* museum
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OLD5B altstadt
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CITY2
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ROLAND-MONUMENT roland
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HISTORY-OR-STORY3 geschichte
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$GEST^
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$GEST-OFF1^
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Bremerhaven isn't too far away either. Possibly at a distance of 40 or 50 kilometers.
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PARTICULARLY1A
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BREMEN1* bremerhaven
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HARBOUR2
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$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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$LIST1:3of3d
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TO-ROW1^* surfen
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PARTICULARLY1A [MG]
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$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-OFF1^*
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$GEST^
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And they have festivities, too!
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CELEBRATION1D fest
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CELEBRATION2* [MG]
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Festivities? Actually, there are only two. AREA1A*
00:02:03:24
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CELEBRATION1A* fest
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ONLY2A
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$NUM-ONE-TO-TEN1A:2 zwei
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An outstanding celebration is the “Osterwiese” [Easter meadow].
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PARTICULARLY1A besonders
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CELEBRATION1A* fest
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EASTER1D* 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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EASTER1D* 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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MARKET6A
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It is called ‘Ischa Freimaak’ in Low German. It derives from Bremen’s history.
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TO-KNOW-STH2A^*
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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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CELEBRATION1D*
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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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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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$NUM-ONE-TO-TEN1A:1 einmal
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YEAR3B jahr
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MUSIC4 musikabend
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EVENING2*
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That’s a typical open-air event with great light effects. It is held between the events ‘Osterwiese’ and ‘Freimarkt’.
00:02:38:21
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TYPICAL1 typisch
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BETWEEN1C zwischen
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TO-FORGET1 vergess
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MUSIC1 musik
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OUTSIDE1 drauß
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PUBLIC1B öffen{tlich}
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LIGHT1* licht
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TO-ORGANISE2A organ{isieren}
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There is a lot going on.
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$GEST^
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MUCH1C 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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$INDEX1* samba
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RIGHT-OR-AGREED1A
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RIGHT-OR-AGREED1A stimmt
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FEBRUARY1B februar
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The Samba Carnival is characteristic of “Das Viertel” [name of the street district].
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TYPICAL1* typ{isch}
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BETWEEN1B*
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QUARTER1* viertel
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STREET1A*
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TO-BEAT1^* samba
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The city of Bremen invites international performers who then present their acts.
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CITY2 stadt
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PEOPLE2
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CURTAIN2^ zirkus
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INTERNATIONAL1* international
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TO-FIND1B^*
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TO-COME1*
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TO-SHOW1A* [MG]
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$GEST-OFF1^
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Oh, yes, and they have a parade, as well. It takes place at roughly the same time as the ‘Osterwiese’.
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00:02:57:31
AND2A und
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TO-MOVE1* umzug
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TYPICAL1 typisch
00:02:59:11
00:02:59:25
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00:02:59:27
EASTER1C* 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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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
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DIFFERENT1 anders
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CARNIVAL2A karneval
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$INDEX1
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DIFFERENT1 anders
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Yet, they too have a procession through the city.
00:03:06:29
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TO-MOVE1* umzug
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MASS-OF-PEOPLE-ACTIVE2* [MG]
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$INDEX1
00:03:08:12
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And Easter Fires are typical for Bremen.
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AND2A
00:03:08:23
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EASTER1A* osterfeuer
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FIRE1A*
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TYPICAL1 typisch
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They are held the day before Easter Sunday.
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00:03:10:35
$NUM-ONE-TO-TEN1A:1d* ein
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DAY1A* tag
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00:03:11:04
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BEFORE1D vor
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EASTER1C ostern
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EASTER1C osterfeuer
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Aren't those held on Good Friday?
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$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$NUM-ONE-TO-TEN1A:3d sonntag
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EASTER1C* ostersonntag
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SUNDAY1A*
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$LIST1:2of3d
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SUDDENLY4* [MG]
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SATURDAY2* samstag
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$LIST1:2of2d*
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TYPICAL1* typisch
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EASTER1C* osterfeuer
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FIRE1A*
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There are quite different Easter Fires: large public gatherings, small ones, and private ones.
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DIFFERENCE1B* [MG]
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BIG3B groß
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EVENT3 veranstaltung
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$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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$INDEX1
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SMALL6 klein
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BIG3B groß
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DIFFERENCE1B* [MG]
00:03:30:06
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00:03:30:41
EVENT3 veranstaltung
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00:03:31:03
A nice Easter Fire is also dependent on the weather.
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EASTER1D* osterfeuer
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FIRE1A
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COHERENCE1A^
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$INDEX2 wetter
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$INDEX1
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Last year it was quite warm already; you could even wear a T-shirt. We'll see how the weather will be next time.
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LAST5 letzt
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GREAT1A* [MG]
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SUMMER2 sommer
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T-SHIRT2
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TO-KNOW-STH2B [MG]
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NEXT1
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I1
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$GEST^
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00:03:37:27
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TO-ORGANISE2A organ{isieren}
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00:03:39:05
What else can I talk about?
00:03:39:05
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$GEST^
00:03:40:01
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Right, back to the three museums.
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INTEREST1A
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$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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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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$ALPHA1:K kl{ima}
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CLIMATE1*
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WATER1* wie viel
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COLD2* kalt
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WATER1 wasser
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$GEST^
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WATER1* wasser
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STREAM1 strö{mung}
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$ORAL^ wie
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STRONG1B stark
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DEFENCE3C abwehr
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HOW8 wie wie
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MUSEUM1 museum
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PRESENT-OR-HERE1 da
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SUPER1*
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It is next to the 'Black Box', on the other side of the road.
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NEXT-TO1A* [MG]
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BLACK3 black
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BOX1 box
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CLOSE-BY1B* [MG]
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$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-QUESTION2 wie
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PROCEEDING1A ablauf
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NOW1 jetzt
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SUBJECT1 thema
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FANTASY2* 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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00:04:04:03
00:04:04:03
00:04:04:08
Really interesting.
00:04:04:08
00:04:04:27
INTEREST1A
00:04:04:27
00:04:04:33
00:04:04:33
00:04:04:36
You can, for instance, look at various shapes.
00:04:04:36
00:04:04:48
SHAPE1A form
00:04:04:48
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TO-LOOK-AT4^
00:04:05:29
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00:04:06:36
There is also a museum in the “Schnoor” [part of the historic city center] about the former life in Bremen during the time of National Socialism.
00:04:06:36
00:04:06:42
ALSO3A auch
00:04:06:42
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TO-OWN1 [MG]
00:04:07:04
00:04:07:21
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BREMEN1 bremen
00:04:07:41
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$ORG-SS1^*
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TRADITION2A*
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00:04:09:18
TO-LIVE1C leben
00:04:09:18
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HOW-QUESTION3 wie
00:04:09:43
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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
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How people used to dress here and all sorts of things.
00:04:12:39
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HOW-QUESTION3 wie
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BREMEN1 bremer
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CLOTHES3^* klamotte
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$GEST^
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In the history of Bremen, cog-built vessels were quite popular.
00:04:17:35
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BREMEN1* bremen
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PARTICULARLY1A*
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WELL-KNOWN1A* bekannt
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PARTICULARLY1A besonders
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HISTORY-OR-STORY3 geschichte
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WHAT1A*
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$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.
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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]
00:04:24:28
00:04:24:35
00:04:24:35
00:04:25:27
TRADE-OR-NEGOTIATION3 handeln
00:04:25:27
00:04:25:37
00:04:25:37
00:04:26:20
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
There was a lively trade exchange between Bremen and America, including [coffee and cocoa] beans.
00:04:34:04
00:04:34:23
TO-PLACE1*
00:04:34:23
00:04:34:48
00:04:34:48
00:04:35:08
AMERICA1 amerika
00:04:35:08
00:04:35:14
00:04:35:14
00:04:35:21
$INDEX1
00:04:35:21
00:04:35:33
00:04:35:33
00:04:36:16
TO-GIVE1A^*
00:04:36:16
00:04:36:26
00:04:36:26
00:04:36:36
MEASURE-VERTICAL2A^* bohne
00:04:36:36
00:04:36:42
00:04:36:42
00:04:37:02
$GEST^
00:04:37:02
00:04:37:12
00:04:37:12
00:04:39:31
00:04:39:31
00:04:39:37
What else can I talk about?
00:04:39:37
00:04:40:03
MORE1 mehr
00:04:40:03
00:04:40:08
00:04:40:08
00:04:40:36
$INDEX1*
00:04:40:36
00:04:40:45
00:04:40:45
00:04:41:28
00:04:41:28
00:04:45:23
It is said, that in this season of the year, in October, something very popular takes place in Bremen.
00:04:45:23
00:04:45:30
Oh yes, great!
00:04:45:30
00:04:45:36
$GEST^
00:04:45:36
00:04:45:46
00:04:45:46
00:04:46:00
$GEST^
00:04:46:00
00:04:46:06
00:04:46:06
00:04:46:25
SUPER2*
00:04:46:25
00:04:46:31
00:04:46:31
00:04:46:38
$INDEX1
00:04:46:38
00:04:46:44
00:04:46:44
00:04:47:02
SUPER2
00:04:47:02
00:04:47:23
00:04:47:23
00:04:47:31
TYPICAL1*
00:04:47:31
00:04:47:44
Cabbage is a famous dish in Bremen. It is prepared traditionally.
00:04:47:44
00:04:48:13
FAMOUS1A berühmt
00:04:48:13
00:04:48:20
00:04:48:20
00:04:48:29
WHAT1A
00:04:48:29
00:04:48:41
00:04:48:41
00:04:48:47
TRADITION2A tradition
00:04:48:47
00:04:49:12
00:04:49:12
00:04:50:06
CABBAGE2A* kohl
00:04:50:06
00:04:50:07
00:04:50:07
00:04:50:13
It is called “Grünkohl mit Pinkel” [curly-leafed kale and a special kind of sausage; uses the sign for “Penis”].
00:04:50:13
00:04:50:28
NAME1B name
00:04:50:28
00:04:50:34
00:04:50:34
00:04:50:42
CABBAGE2B* kohl
00:04:50:42
00:04:50:46
00:04:50:46
00:04:51:04
AND2A und
00:04:51:04
00:04:51:10
00:04:51:10
00:04:51:24
PENIS1^ pinkel
00:04:51:24
00:04:51:27
00:04:51:27
00:04:51:40
Duh, I cannot sign it like that. I meant the sausage ‘Pinkel’ - from the ‘kale tours’.
00:04:51:40
00:04:51:49
PENIS1^ pinkel
00:04:51:49
00:04:52:07
00:04:52:07
00:04:52:13
MUST1A^
00:04:52:13
00:04:52:30
00:04:52:30
00:04:52:47
CROOKED1^* pinkel
00:04:52:47
00:04:53:07
00:04:53:07
00:04:53:43
TO-DRIVE1 fahrt
00:04:53:43
00:04:53:47
00:04:53:47
00:04:54:07
Nope, the other sign is not suitable.
00:04:54:07
00:04:54:18
PENIS1^ pinkel
00:04:54:18
00:04:54:30
00:04:54:30
00:04:55:04
WORD3 wort
00:04:55:04
00:04:55:10
00:04:55:10
00:04:55:24
NO1A
00:04:55:24
00:04:55:32
00:04:55:32
00:04:55:41
MUST1A^
00:04:55:41
00:04:56:29
00:04:56:29
00:04:56:43
SAUSAGE1B pinkel
00:04:56:43
00:04:57:07
00:04:57:07
00:04:57:30
TO-DRIVE1 fahrt
00:04:57:30
00:04:57:37
00:04:57:37
00:04:58:04
Those walks are usually from November until March.
00:04:58:04
00:04:58:17
TYPICAL1* typisch
00:04:58:17
00:04:59:13
00:04:59:13
00:04:59:36
NOVEMBER7B* november
00:04:59:36
00:04:59:45
00:04:59:45
00:05:00:05
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
MOST1B
00:05:07:45
00:05:08:07
00:05:08:07
00:05:08:12
$NUM-ONE-TO-TEN1A:1d
00:05:08:12
00:05:08:23
BOOZE1^* plum
00:05:08:23
00:05:08:27
00:05:08:27
00:05:08:37
$NUM-ONE-TO-TEN1A:2d
00:05:08:37
00:05:09:12
BOOZE1^ korn
00:05:09:12
00:05:09:25
00:05:09:25
00:05:09:35
$GEST^
00:05:09:35
00:05:09:44
But it can be any other kind of liquor, as well.
00:05:09:44
00:05:09:48
HERE1
00:05:09:48
00:05:10:08
00:05:10:08
00:05:10:25
IN-ADDITION-MORE-AND-MORE1 [MG]
00:05:10:25
00:05:10:32
00:05:10:32
00:05:10:41
POSSIBLE1* mög{lich}
00:05:10:41
00:05:10:45
00:05:10:45
00:05:10:49
In the past, it was common to drink ‘Korn’.
00:05:10:49
00:05:11:06
PAST-OR-BACK-THEN2* früher
00:05:11:06
00:05:11:14
00:05:11:14
00:05:11:22
USUAL1* nor{mal}
00:05:11:22
00:05:11:28
00:05:11:28
00:05:11:45
BOOZE1 korn
00:05:11:45
00:05:12:15
00:05:12:15
00:05:13:03
TO-POUR-OR-TO-WATER1A*
00:05:13:03
00:05:13:16
You walk for two to four hours. Along the way you take breaks and play games before you get to eat.
00:05:13:16
00:05:13:24
TO-EAT-OR-FOOD2* es{sen}
00:05:13:24
00:05:13:29
00:05:13:29
00:05:13:38
THEN1A*
00:05:13:38
00:05:14:01
00:05:14:01
00:05:14:12
TO-GO-FOR-A-WALK1 [MG]
00:05:14:12
00:05:14:18
00:05:14:18
00:05:14:34
HOUR2A* zwei stund{en}
00:05:14:34
00:05:14:44
00:05:14:44
00:05:15:02
HOUR2A* vier stund{en}
00:05:15:02
00:05:15:09
00:05:15:09
00:05:15:29
TO-GO-FOR-A-WALK2B* [MG]
00:05:15:29
00:05:15:37
00:05:15:37
00:05:15:40
BIT2A
00:05:15:40
00:05:15:47
00:05:15:47
00:05:16:08
TEACHER2^* gesellschaftsspiele
00:05:16:08
00:05:16:15
00:05:16:15
00:05:16:34
TO-PLAY1
00:05:16:34
00:05:16:37
00:05:16:37
00:05:16:44
In between the games you do a variety of things.
00:05:16:44
00:05:17:15
BETWEEN1D*
00:05:17:15
00:05:17:22
00:05:17:22
00:05:17:28
TEACHER2^* gesellschaftsspiele
00:05:17:28
00:05:17:32
00:05:17:32
00:05:17:38
TO-PLAY1
00:05:17:38
00:05:17:48
00:05:17:48
00:05:18:25
DIFFERENCE1B [MG]
00:05:18:25
00:05:18:39
Then, you stop at a restaurant to eat lots of kale.
00:05:18:39
00:05:18:47
$INDEX1
00:05:18:47
00:05:19:09
00:05:19:09
00:05:19:25
CONNECTION1 anschließend
00:05:19:25
00:05:19:29
00:05:19:29
00:05:20:11
RESTAURANT1 restaurant
00:05:20:11
00:05:20:31
00:05:20:31
00:05:20:39
TO-EAT-OR-FOOD2* es{sen}
00:05:20:39
00:05:20:46
00:05:20:46
00:05:21:10
SATED1* satt
00:05:21:10
00:05:21:25
00:05:21:25
00:05:21:47
SERVICE2B
00:05:21:47
00:05:22:03
00:05:22:03
00:05:22:14
Sometimes the kale is served with cooked or fried potatoes, with “Kochwurst” [a pre-cooked sausage] or “Kassler” [smoked pork chop]. TYPICAL1* typisch
00:05:22:14
00:05:22:28
00:05:22:28
00:05:22:42
POTATO3A* kartoffel
00:05:22:42
00:05:23:07
00:05:23:07
00:05:23:16
TO-SLIDE-OR-TO-PUSH6^*
00:05:23:16
00:05:23:24
00:05:23:24
00:05:23:32
SOMETIMES2 manchmal
00:05:23:32
00:05:23:39
00:05:23:39
00:05:24:01
TO-BAKE2 blechkartoffel
00:05:24:01
00:05:24:10
00:05:24:10
00:05:24:24
POTATO3A*
00:05:24:24
00:05:24:32
00:05:24:32
00:05:24:44
SERVICE2A*
00:05:24:44
00:05:25:12
00:05:25:12
00:05:25:19
AND2A* und
00:05:25:19
00:05:25:36
00:05:25:36
00:05:26:03
TO-COOK2C kochwurst
00:05:26:03
00:05:26:16
00:05:26:16
00:05:26:37
SAUSAGE1A
00:05:26:37
00:05:27:00
00:05:27:00
00:05:27:08
AND2A und
00:05:27:08
00:05:27:22
00:05:27:22
00:05:27:31
DOG1^ kassler
00:05:27:31
00:05:27:35
00:05:27:35
00:05:28:33
ENVELOPE3^*
00:05:28:33
00:05:28:42
00:05:28:42
00:05:29:08
TO-PUT-OR-TO-LAY1A^*
00:05:29:08
00:05:29:22
00:05:29:22
00:05:29:28
AND2A
00:05:29:28
00:05:29:39
00:05:29:39
00:05:30:09
CABBAGE2A kohl
00:05:30:09
00:05:30:20
00:05:30:20
00:05:30:34
TO-EAT-OR-FOOD1* essen
00:05:30:34
00:05:30:38
00:05:30:38
00:05:30:45
It's quite interesting: You cannot buy any curly-leafed kale in Munich.
00:05:30:45
00:05:31:34
$PROD* kohl
00:05:31:34
00:05:31:43
00:05:31:43
00:05:31:49
$INDEX1
00:05:31:49
00:05:32:04
00:05:32:04
00:05:32:18
INTEREST1A interessant
00:05:32:18
00:05:32:25
00:05:32:25
00:05:32:30
HERE1
00:05:32:30
00:05:32:39
00:05:32:39
00:05:32:46
$INDEX1
00:05:32:46
00:05:33:04
00:05:33:04
00:05:33:10
TO-LIKE4 [MG]
00:05:33:10
00:05:33:13
00:05:33:13
00:05:33:21
$GEST^
00:05:33:21
00:05:33:33
00:05:33:33
00:05:33:38
MUNICH1A* münchen
00:05:33:38
00:05:33:45
00:05:33:45
00:05:33:47
$INDEX1*
00:05:33:47
00:05:34:02
00:05:34:02
00:05:34:18
TO-WANT5* will
00:05:34:18
00:05:34:40
00:05:34:40
00:05:34:43
IDEA2A [MG]
00:05:34:43
00:05:35:05
00:05:35:05
00:05:35:25
TO-COOK1* kochen
00:05:35:25
00:05:35:33
00:05:35:33
00:05:35:49
CABBAGE2A kohl
00:05:35:49
00:05:36:09
00:05:36:09
00:05:36:20
TO-BUY1A kaufen
00:05:36:20
00:05:36:24
00:05:36:24
00:05:36:38
$INDEX1
00:05:36:38
00:05:36:42
00:05:36:42
00:05:36:44
You only get it around here.
00:05:36:44
00:05:36:47
ONLY2A nur
00:05:36:47
00:05:37:01
00:05:37:01
00:05:37:39
HERE1*
00:05:37:39
00:05:38:04
00:05:38:04
00:05:38:12
If the inhabitants of Munich want any curly-leafed kale, they have to obtain it from us.
00:05:38:12
00:05:38:19
$INDEX4
00:05:38:19
00:05:38:23
00:05:38:23
00:05:38:43
NO2B
00:05:38:43
00:05:38:48
00:05:38:48
00:05:39:08
MUST1 muss
00:05:39:08
00:05:39:22
00:05:39:22
00:05:39:33
TO-WANT5* will
00:05:39:33
00:05:39:49
00:05:39:49
00:05:40:06
TO-ORDER1A bestell
00:05:40:06
00:05:40:15
00:05:40:15
00:05:40:38
HERE1*
00:05:40:38
00:05:40:49
00:05:40:49
00:05:41:04
I did not know that before, but I have read about it recently.
00:05:41:04
00:05:41:09
I1 ich
00:05:41:09
00:05:41:16
00:05:41:16
00:05:41:20
TO-KNOW-STH2A
00:05:41:20
00:05:41:28
00:05:41:28
00:05:41:36
RECENTLY1A
00:05:41:36
00:05:41:42
00:05:41:42
00:05:42:04
TO-READ-BOOK2B [MG]
00:05:42:04
00:05:42:09
00:05:42:09
00:05:42:16
INTEREST1A*
00:05:42:16
00:05:42:21
00:05:42:21
00:05:42:29
TOWARDS9 zum
00:05:42:29
00:05:42:37
00:05:42:37
00:05:43:03
TO-TAKE-SB-OR-STH-ALONG2* mitnehm
00:05:43:03
00:05:43:04
00:05:43:04
00:05:43:07
HERE1
00:05:43:07
00:05:43:14
Curly-leafed kale is really delicious; it is exclusively typical during that time.
00:05:43:14
00:05:43:21
CABBAGE2B* kohl
00:05:43:21
00:05:43:29
00:05:43:29
00:05:43:33
IN-ADDITION1*
00:05:43:33
00:05:43:34
00:05:43:34
00:05:43:37
HERE1
00:05:43:37
00:05:43:44
00:05:43:44
00:05:44:33
TASTY1 lecker
00:05:44:33
00:05:44:37
00:05:44:37
00:05:44:40
$INDEX1
00:05:44:40
00:05:44:42
00:05:44:42
00:05:45:00
TYPICAL1* typisch
00:05:45:00
00:05:45:09
00:05:45:09
00:05:45:23
BETWEEN1B^* [MG]
00:05:45:23
00:05:45:28
00:05:45:28
00:05:45:30
TYPICAL1*
00:05:45:30
00:05:45:34
00:05:45:34
00:05:45:42
$INDEX1
00:05:45:42
00:05:45:46
00:05:45:46
00:05:46:01
The dish can be prepared in private, or with your family. Even my grandmother makes it if she feels like it.
00:05:46:01
00:05:46:10
DISTINCT1 versch{ieden}
00:05:46:10
00:05:46:22
00:05:46:22
00:05:46:37
PRIVATE1A* privat
00:05:46:37
00:05:46:47
00:05:46:47
00:05:47:09
OR4B* o{der}
00:05:47:09
00:05:47:23
00:05:47:23
00:05:47:42
FAMILY1 familie
00:05:47:42
00:05:47:44
00:05:47:44
00:05:48:06
$GEST-OFF1^
00:05:48:06
00:05:48:09
00:05:48:09
00:05:48:14
SOMETIMES2 manchmal
00:05:48:14
00:05:48:18
00:05:48:18
00:05:48:21
I1
00:05:48:21
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00:05:48:29
00:05:48:35
GRANDMA1C oma
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00:05:48:46
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00:05:49:03
DELIGHT1B lust
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00:05:49:10
00:05:49:10
00:05:49:15
EASY1 einfach
00:05:49:15
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00:05:49:23
00:05:49:29
LIKE-THIS1A* so
00:05:49:29
00:05:49:36
It doesn't always have to be combined with a cabbage walk. You can cook the kale just like that, and eat it with your friends. That's how the elderly typically do it.
00:05:49:36
00:05:49:44
WITHOUT1B* ohne
00:05:49:44
00:05:50:01
00:05:50:01
00:05:50:11
MASS-OF-PEOPLE-ACTIVE2* fahrt
00:05:50:11
00:05:50:22
00:05:50:22
00:05:50:27
ONLY2A nur
00:05:50:27
00:05:50:37
00:05:50:37
00:05:51:02
TO-COOK1*
00:05:51:02
00:05:51:11
00:05:51:11
00:05:51:28
TO-EAT-OR-FOOD2
00:05:51:28
00:05:51:48
00:05:51:48
00:05:52:02
OLD5A* alt
00:05:52:02
00:05:52:07
00:05:52:07
00:05:52:15
PEOPLE2 leute
00:05:52:15
00:05:52:22
00:05:52:22
00:05:52:36
TYPICAL1*
00:05:52:36
00:05:52:41
00:05:52:41
00:05:52:48
Younger people, like myself, enjoy the walks and prefer going to restaurants together.
00:05:52:48
00:05:53:02
YOUNG1* ju{ng}
00:05:53:02
00:05:53:04
00:05:53:04
00:05:53:08
I1
00:05:53:08
00:05:53:24
00:05:53:24
00:05:53:44
MASS-OF-PEOPLE-ACTIVE2* kohlfahrt
00:05:53:44
00:05:54:02
00:05:54:02
00:05:54:09
RESTAURANT1* restau{rant}
00:05:54:09
00:05:54:18
00:05:54:18
00:05:54:29
THROUGH1^*
00:05:54:29
00:05:54:38
00:05:54:38
00:05:55:12
TO-EAT-OR-FOOD1*
00:05:55:12
00:05:55:15
00:05:55:15
00:05:55:20
TO-SIT1A restaurant
00:05:55:20
00:05:55:35
00:05:55:35
00:05:55:41
TO-COOK1*
00:05:55:41
00:05:56:02
It is quite filling.
00:05:56:02
00:05:56:09
FEELING3*
00:05:56:09
00:05:56:22
00:05:56:22
00:05:56:32
THICK7^ Perhaps you will do it like that in the future.
00:05:56:32
00:05:56:40
00:05:56:40
00:05:56:43
LATER5* später
00:05:56:43
00:05:57:13
$GEST^ [MG]
00:05:57:13
00:05:57:22
00:05:57:22
00:05:57:29
DONT-KNOW1 weiß nicht
00:05:57:29
00:05:57:39
00:05:57:39
00:05:57:40
TYPICAL1
00:05:57:40
00:05:57:49
00:05:57:49
00:05:58:07
$GEST-OFF1^
00:05:58:07
00:05:58:13
00:05:58:13
00:05:58:20
Yes.
00:05:58:20
00:05:58:32
YES2
00:05:58:32
00:05:58:36
Another famous dish of Bremen is called ‘Labskaus’.
00:05:58:36
00:05:58:42
AND5* und
00:05:58:42
00:05:59:05
00:05:59:05
00:05:59:18
INTEREST1A
00:05:59:18
00:05:59:32
00:05:59:32
00:05:59:46
BREMEN1 bremen
00:05:59:46
00:06:00:06
00:06:00:06
00:06:00:20
TO-EAT-OR-FOOD2 essen
00:06:00:20
00:06:00:30
00:06:00:30
00:06:00:45
KITCHEN3B küche
00:06:00:45
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00:06:01:02
00:06:01:10
BREMEN1 bremen
00:06:01:10
00:06:01:28
00:06:01:28
00:06:01:34
QUOTATION-MARKS1
00:06:01:34
00:06:01:43
00:06:01:43
00:06:02:01
BREMEN1* bremen
00:06:02:01
00:06:02:08
00:06:02:08
00:06:02:14
KITCHEN3B kü{che}
00:06:02:14
00:06:02:19
00:06:02:19
00:06:02:24
HERE1
00:06:02:24
00:06:02:25
00:06:02:25
00:06:02:32
FAMOUS1A be{rühmt}
00:06:02:32
00:06:02:36
00:06:02:36
00:06:02:41
WHAT1A
00:06:02:41
00:06:03:00
00:06:03:00
00:06:03:42
TO-STOMP1^* labskaus
00:06:03:42
00:06:04:34
00:06:04:34
00:06:04:40
People who worked at the harbor used to have really bad teeth back then, so they weren't able to eat meat anymore.
00:06:04:40
00:06:04:46
ALREADY1B schon
00:06:04:46
00:06:05:03
00:06:05:03
00:06:05:11
PAST-OR-BACK-THEN1* früher
00:06:05:11
00:06:05:33
00:06:05:33
00:06:06:09
TO-STOMP1^* labs{kaus}
00:06:06:09
00:06:06:14
00:06:06:14
00:06:06:25
WHERE-FROM1 woher
00:06:06:25
00:06:06:29
00:06:06:29
00:06:06:34
THROUGH2A durch
00:06:06:34
00:06:06:38
00:06:06:38
00:06:06:45
WAS1 hafen
00:06:06:45
00:06:07:06
00:06:07:06
00:06:07:25
HARBOUR1*
00:06:07:25
00:06:07:31
00:06:07:31
00:06:07:44
$INDEX1
00:06:07:44
00:06:07:49
00:06:07:49
00:06:08:09
PEOPLE2 leute
00:06:08:09
00:06:08:18
00:06:08:18
00:06:08:25
BAD-OR-STALE1 schlecht
00:06:08:25
00:06:08:33
00:06:08:33
00:06:09:18
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
LOVE1^* beliebt
00:06:14:41
00:06:14:49
00:06:14:49
00:06:15:25
UNTIL-NOW2* bis jetzt
00:06:15:25
00:06:15:49
00:06:15:49
00:06:17:00
TO-STOMP1^* labskaus
00:06:17:00
00:06:17:09
The side dish varies, depending on the particular region.
00:06:17:09
00:06:17:14
MORE1
00:06:17:14
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00:06:17:34
DIFFERENCE1B
00:06:17:34
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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-GREAT2 [MG]
00:06:28:11
00:06:28:17
00:06:28:17
00:06:28:21
$INDEX1
00:06:28:21
00:06:28:33
00:06:28:33
00:06:28:46
POPULAR1*
00:06:28:46
00:06:29:01
00:06:29:01
00:06:29:09
UNTIL-TODAY2 bis heute
00:06:29:09
00:06:29:15
00:06:29:15
00:06:29:22
RIGHT-OR-AGREED1A stimmt
00:06:29:22
00:06:29:27
00:06:29:27
00:06:29:32
$INDEX1
00:06:29:32
00:06:29:44
The third typical specialty of Bremen is ham with fried eggs, and a big pot of fried potatoes.
00:06:29:44
00:06:30:04
$LIST1:2of2d
00:06:30:04
00:06:30:09
00:06:30:09
00:06:30:18
ALSO3A* auch
00:06:30:18
00:06:30:29
00:06:30:29
00:06:31:20
$GEST^
00:06:31:20
00:06:31:27
00:06:31:27
00:06:31:41
$GEST^
00:06:31:41
00:06:32:18
00:06:32:18
00:06:32:36
HAM1* schinken
00:06:32:36
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00:06:32:45
00:06:33:09
AND2A und
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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
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00:06:42:46
00:06:43:07
CONTENT3* inhalt
00:06:43:07
00:06:43:16
00:06:43:16
00:06:43:21
WHAT1A was
00:06:43:21
00:06:43:31
00:06:43:31
00:06:43:35
TO-KNOW-STH2B
00:06:43:35
00:06:43:42
00:06:43:42
00:06:44:01
NOT3B
00:06:44:01
00:06:44:06
00:06:44:06
00:06:44:12
$GEST-DECLINE1^
00:06:44:12
00:06:44:15
As long as it tastes good.
00:06:44:15
00:06:44:20
$INDEX1
00:06:44:20
00:06:44:26
00:06:44:26
00:06:44:33
MAIN-POINT1B haupt{sache}
00:06:44:33
00:06:44:36
00:06:44:36
00:06:44:47
TO-EAT-OR-FOOD2* essen
00:06:44:47
00:06:45:03
00:06:45:03
00:06:45:11
TO-TASTE1A schmeckt
00:06:45:11
00:06:45:13
00:06:45:13
00:06:45:18
GOOD1 gut
00:06:45:18
00:06:45:20
00:06:45:20
00:06:45:26
If I knew what's in there, I probably wouldn't eat it any longer.
00:06:45:26
00:06:45:30
IF-OR-WHEN1A* wenn
00:06:45:30
00:06:45:35
00:06:45:35
00:06:45:40
TO-KNOW-STH2B
00:06:45:40
00:06:45:47
00:06:45:47
00:06:46:13
CONTENT3 inhalt
00:06:46:13
00:06:46:19
00:06:46:19
00:06:46:29
TO-EAT-OR-FOOD1 essen
00:06:46:29
00:06:46:37
00:06:46:37
00:06:46:49
NOT3B
00:06:46:49
00:06:47:02
That is why I don't want to know the ingredients.
00:06:47:02
00:06:47:05
$INDEX1
00:06:47:05
00:06:47:16
00:06:47:16
00:06:47:28
TO-KNOW-STH-OR-SB1A
00:06:47:28
00:06:47:39
00:06:47:39
00:06:48:06
TO-TAKE1A^*
00:06:48:06
00:06:48:20
00:06:48:20
00:06:48:25
TO-KNOW-STH2B weiß
00:06:48:25
00:06:48:31
00:06:48:31
00:06:48:38
CONTENT3 in{halt}
00:06:48:38
00:06:48:47
00:06:48:47
00:06:49:10
NOT3B
00:06:49:10
00:06:49:27
00:06:49:27
00:06:49:41
A deaf person once told me that if I enjoyed eating it, I should know the ingredients.
00:06:49:41
00:06:49:49
DEAF1A
00:06:49:49
00:06:50:06
00:06:50:06
00:06:50:10
FRIEND1B* freund
00:06:50:10
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00:06:50:15
00:06:50:38
AFFECTED2
00:06:50:38
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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
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00:06:53:17
00:06:53:21
I1
00:06:53:21
00:06:53:26
00:06:53:26
00:06:53:31
TO-KNOW-STH2A
00:06:53:31
00:06:53:35
00:06:53:35
00:06:53:43
TO-WANT7 will
00:06:53:43
00:06:53:47
00:06:53:47
00:06:54:02
NOT3B nicht
00:06:54:02
00:06:54:09
00:06:54:09
00:06:54:14
TO-KNOW-STH2B
00:06:54:14
00:06:54:19
00:06:54:19
00:06:54:25
I1
00:06:54:25
00:06:54:35
00:06:54:35
00:06:54:43
$GEST-DECLINE1^*
00:06:54:43
00:06:54:47
As long as it tastes good.
00:06:54:47
00:06:55:04
$MORPH-MAIN1B haupt
00:06:55:04
00:06:55:07
00:06:55:07
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TO-EAT-OR-FOOD1 essen
00:06:55:28
00:06:55:31
00:06:55:31
00:06:55:34
TO-TASTE1A* [MG]
00:06:55:34
00:06:55:42
Whether I knew all the ingredients or not, I would eat it anyways.
00:06:55:42
00:06:55:44
I1*
00:06:55:44
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00:06:56:06
00:06:56:13
WHATEVER3 egal
00:06:56:13
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00:06:56:16
00:06:56:23
IF1 ob
00:06:56:23
00:06:56:30
00:06:56:30
00:06:56:42
TO-KNOW-STH2B* weiß
00:06:56:42
00:06:56:49
00:06:56:49
00:06:57:19
OR1* oder
00:06:57:19
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00:06:57:28
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TO-LET1^* egal
00:06:57:39
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00:06:57:47
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TO-EAT-OR-FOOD2* essen
00:06:58:10
00:06:58:22
00:06:58:22
00:06:58:33
DONE1A* fertig
00:06:58:33
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00:06:59:29
Bremen has some great specialties itself.
00:06:59:29
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$LIST1:3of5
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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]
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00:07:00:30
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OWN1B eigen
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TO-EAT-OR-FOOD1*
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00:07:01:23
TO-EAT-OR-FOOD2* essen
00:07:01:23
00:07:01:26
00:07:01:26
00:07:01:41
TO-FIND-STH-GREAT2* [MG]
00:07:01:41
00:07:01:44
00:07:01:44
00:07:02:01
Especially downtown, in the historic city center, they have some great restaurants like the ‘Bremer Ratskeller’.
00:07:02:01
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MOST1B [MG]
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OLD5B* altstadt
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CITY2
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00:07:03:41
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$INDEX1
00:07:03:49
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00:07:04:08
00:07:04:26
RESTAURANT1 restaurant
00:07:04:26
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$INDEX1
00:07:04:42
00:07:04:48
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00:07:05:09
BREMEN1* bremen
00:07:05:09
00:07:05:16
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UNDER1A^* rat
00:07:05:28
00:07:05:38
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00:07:05:48
$INDEX-ORAL1 ratskeller
00:07:05:48
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00:07:06:24
UNDER1A^*
00:07:06:24
00:07:06:30
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00:07:06:35
It is really good.
00:07:06:35
00:07:06:45
TO-FIND-STH-GREAT2
00:07:06:45
00:07:07:01
The guests are seated close by the wine barrels in little snugs.
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HONEY2^* wein
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BARREL1 fass
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ROUND4A^* groß groß
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TO-SIT1A* sitz
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THERE-IS3*
00:07:09:37
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SOCIETY1* gesellschaft
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SMALL1A* klein
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00:07:10:39
$PROD*
00:07:10:39
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My parents made a reservation in advance and we sat there cosily.
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PARENTS9B* eltern
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PAST-OR-BACK-THEN1* früher
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TO-MAKE-RESERVATIONS1 reservieren
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$PROD*
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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
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TO-EAT-OR-FOOD1 es{sen}
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TO-FIND-STH-GREAT2 [MG]
00:07:14:23
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00:07:15:42
Bremen is also known for its beer.
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BREMEN1* bremen
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FAMOUS1A berühmt
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OWN1B* eigene
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BEER1 bier
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Beck’s.
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$ALPHA1:B-E-C-K-S becks
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Right.
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$GEST^
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They have a big company on site.
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BIG3B* groß
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STORE1* firma
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$GEST^
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00:07:22:35
What else can I talk about?
00:07:22:35
00:07:23:04
$GEST^ [MG]
00:07:23:04
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The Town Musicians of Bremen.
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00:07:25:00
Yes, the famous fairy tale of the Town Musicians of Bremen: a donkey, a dog, a cat, and a cock.
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YES2 ja
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FAMOUS1A berühmt
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HISTORY-OR-STORY8 märchen
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BREMEN1* bremer stadtmusikanten
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CITY2
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MUSIC1
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DONKEY1*$NUM-ONE-TO-TEN1A:1d esel
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$LIST1:2of2d
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DOG3* hund
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$LIST1:3of3d
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CAT1A* katze
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COCK1$NUM-ONE-TO-TEN1A:4d hahn
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$GEST-OFF1^
00:07:31:16
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A famous fairy tale, an old tale.
00:07:32:01
00:07:32:11
FAMOUS1A berühmt
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HISTORY-OR-STORY8* märchen
00:07:33:03
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HISTORY-OR-STORY3* geschich{te}
00:07:33:22
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PAST-OR-BACK-THEN1*
00:07:33:42
00:07:34:06
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$GEST-OFF1^
00:07:34:11
00:07:34:26
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00:07:35:45
00:07:35:45
00:07:46:13
If you have friends form Southern Germany visiting you, what places should they be visiting?
00:07:46:13
00:07:46:26
First of all, a guided tour through the city center where the ‘Bremer Roland’, the cathedral, and ‘The Town Musicians of Bremen’ are located.
00:07:46:26
00:07:46:45
$LIST1:1of1d*
00:07:46:45
00:07:47:03
00:07:47:03
00:07:47:11
PARTICULARLY1A [MG]
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TO-LEAD1A führen
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AND2A
00:07:48:06
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MIDDLE2B mitte
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ROLAND-MONUMENT roland
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00:07:51:02
$LIST1:2of2d
00:07:51:02
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SPIKY-AT-THE-TOP2A^ dom
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$INDEX1*
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00:07:52:43
$LIST1:2of2d
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$LIST1:3of3d
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00:07:53:25
CITY2 stadtmusikanten
00:07:53:25
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00:07:53:36
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MUSIC1*
00:07:54:01
00:07:54:07
The “Böttcherstraße” [Cooper Street] with the golden sword at its entrance, the “Ratskeller” [lit. council wine cellar], and of course the “Schnoor”.
00:07:54:07
00:07:54:15
$LIST1:4of4d
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00:07:54:39
$INIT-STRAIGHT1^* böttcherstraße
00:07:54:39
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STREET1A
00:07:55:22
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$INDEX1STREET1A*
00:07:55:34
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00:07:55:39
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GOLD3B* gold
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BAT1B^*
00:07:56:35
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$INDEX1
00:07:57:19
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$INDEX1
00:07:58:07
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00:07:58:19
00:07:58:25
COUNCIL1* ratskeller
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UNDER1A^*
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00:07:59:18
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I1
00:07:59:25
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COUNCIL1* ratskeller
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00:08:00:01
00:08:00:01
00:08:00:10
UNDER1A^*
00:08:00:10
00:08:00:18
00:08:00:18
00:08:01:21
$ALPHA1:SCH-N-OO-R schnoor
00:08:01:21
00:08:01:25
00:08:01:25
00:08:01:32
It is really beautiful there.
00:08:01:32
00:08:02:00
TO-FIND-STH-GREAT2
00:08:02:00
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00:08:02:04
00:08:02:14
Too bad that it is so tiny.
00:08:02:14
00:08:02:30
TOO-BAD1* schade
00:08:02:30
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SMALL11* [MG]
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ONLY2A nur
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SMALL11 klein
00:08:03:28
00:08:03:33
00:08:03:33
00:08:03:40
But apart from that, those small alleys are great.
00:08:03:40
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$INDEX1*
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00:08:04:25
WAY3*$PROD* straße
00:08:04:25
00:08:04:31
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$ALPHA1:SCH-N-OO-R schnoor
00:08:05:12
00:08:05:24
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PARTICULARLY1A* [MG]
00:08:05:32
00:08:05:34
00:08:05:34
00:08:05:43
I strongly recommend going in and have a seat in a café.
00:08:05:43
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COFFEE2A café
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TO-SIT1A sitz
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00:08:06:21
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IN2 in{nen}
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00:08:06:37
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TO-RECOMMEND1A empfehlen
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IN2* in{nen} in{nen}
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The houses look beautiful from the outside, as well. OUTDOORS1A au{ßen}
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TO-LOOK1*
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BEAUTIFUL1A schön
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00:08:09:15
But inside, the ceilings are quite low, the staircase is not even but all twisted and a little crooked.
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IN2 innen
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00:08:09:45
BEAUTIFUL1A* sch{ön}
00:08:09:45
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00:08:10:12
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MEASURE8A^ klein
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STAIRS1 treppe
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PLANE3A^*
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$PROD* form
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$PROD* schief
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That's what it looked like in the past.
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OLD4A alt
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TIME5A* zeit
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$PROD* schief
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The “Schnoor” is very lovely.
00:08:16:15
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BEAUTIFUL1A schö{n}
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$ALPHA1:SCH-N-OO-R schnoor
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And the ‘Bürgerpark’.
00:08:17:47
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AND5*
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CITIZEN1 bürgerpark
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PLANE1^
00:08:18:35
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$INDEX1
00:08:19:02
00:08:19:05
00:08:19:05
00:08:19:14
You can take wonderful walks in the ‘Bürgerpark’.
00:08:19:14
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BEAUTIFUL1A sch{ön}
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TO-GO-FOR-A-WALK3* spazieren
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CITIZEN1* bürgerpark
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PARK1A*
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$GEST-OFF1^*
00:08:21:23
00:08:21:33
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I recommend the “Blockland” to anyone who enjoys biking in the environs.
00:08:25:16
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ALSO3A*
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CURVE1* umland
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WITH1A mit
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WHO6 wer
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WITH1A mit
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BICYCLE1* fahrrad
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TO-RECOMMEND1A empfehl
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TO-THROW1^* blockland
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COUNTRY3B*
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No, “Blockland” is signed differently.
00:08:28:48
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BLOCK-THEME4 block
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WRONG1 [MG]
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I1
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TO-SLIDE-OR-TO-PUSH2^ blockland
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COUNTRY3B*
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But it is great for biking.
00:08:30:26
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$INDEX1*
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BEAUTIFUL1B sch{ön}
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00:08:31:08
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BICYCLE1* fahrrad
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There you can bike along the Weser, wait no, along the Wümme northwards from Bremen-Horn all the way to Ritterhude.
00:08:31:35
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FROM-OR-BY-OR-OF2* von
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HORNS1A* horn
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UNTIL1* bis
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$CUED-SPEECH* ritterhude
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DOG3^*
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FAR1
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$PROD*
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VERY7^* [MG]
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EXHAUSTING5
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RIVER1* weser
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$ALPHA1:W-U-NN-E wümme
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$PROD*
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$PROD*
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It is great.
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BEAUTIFUL3 schön
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If they were staying longer, I would recommend Bremerhaven, as well.
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MAYBE1* [MG]
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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}
00:08:44:31
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TO-LEAD1A fü{hrung}
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THERE1*
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00:08:45:30
00:08:45:35
BREMEN1* bremerhaven
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HARBOUR2
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WHAT1A
00:08:46:21
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They have built the new “Klimahaus” [lit. climate house] there.
00:08:46:31
00:08:46:36
NOW3* je{tzt}
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NEW1A
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SUPER3* [MG]
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$INDEX1
00:08:47:22
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MUSEUM1*
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CLIMATE1 klimahaus
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HOUSE1B
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$GEST^
00:08:48:40
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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
00:08:49:06
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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^
00:08:53:33
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What about this American house?
00:08:55:43
00:08:56:11
America?
00:08:56:11
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AMERICA1*
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Oh yes, the German Emigration Center.
00:08:56:36
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YES2 [MG]
00:08:56:45
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TO-HIKE1* auswanderermuseum
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MUSEUM1
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$GEST^
00:08:58:35
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The German Emigration Center is an amazing museum.
00:08:59:33
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GREAT1A [MG]
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00:09:00:24
00:09:00:24
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TO-HIKE1* auswanderermuseum
00:09:00:38
00:09:00:44
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MUSEUM1
00:09:01:22
00:09:01:32
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GREAT1A [MG]
00:09:02:06
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00:09:02:16
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TO-HIKE1* auswanderermuseum
00:09:02:38
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00:09:03:14
MUSEUM1
00:09:03:14
00:09:03:18
00:09:03:18
00:09:03:24
It is really to be recommended.
00:09:03:24
00:09:03:38
TO-RECOMMEND1A empfehlen
00:09:03:38
00:09:03:40
00:09:03:40
00:09:03:46
You can learn a lot of interesting things about history there.
00:09:03:46
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INTEREST1A [MG]
00:09:04:12
00:09:04:22
00:09:04:22
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HISTORY-OR-STORY3* geschichte
00:09:04:37
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00:09:05:02
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INTEREST1A [MG]
00:09:05:16
00:09:05:45
00:09:05:45
00:09:06:08
The “Zoo am Meer” - we talked about that one, and the “Klimahaus” is great, as well.
00:09:06:08
00:09:06:16
I1
00:09:06:16
00:09:06:31
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00:09:06:43
$ALPHA1:Z-O zo{o}
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ON-OR-AT1* am
00:09:06:47
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PLANE3B^* meer
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NEW1A neu
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CLIMATE1* klimahaus
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HOUSE1B
00:09:09:16
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MUSEUM1* [MG]
00:09:09:30
00:09:09:37
00:09:09:37
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GREAT1A [MG]
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00:09:10:15
00:09:10:15
00:09:10:23
The idea of the “Klimahaus“, I think, is a journey along the fifth longitude/
00:09:10:23
00:09:10:31
SUBJECT1 thema
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$NUM-ONE-TO-TEN1A:5 fünf
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DEGREE1B*
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HOW-MUCH5* wie viel
00:09:11:49
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Wait, am I stupid?
00:09:12:02
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DUMB1B* [MG]
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I1
00:09:12:21
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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*
00:09:16:02
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$PROD*
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CLIMATE1* klima
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DIFFERENCE1B* untersch{iedlich}
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CIRCLE2*
00:09:19:01
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00:09:19:09
It is interesting.
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INTEREST1A [MG]
00:09:19:21
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What else?
00:09:22:35
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GOOD1 gut
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$INDEX1
00:09:23:12
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MORE1 mehr
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Are there any famous companies in Bremen?
00:09:27:02
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Sure, a famous company is Airbus - a company of Mercedes, Jacobs /
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$GEST-TO-PONDER3^ [MG]
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FAMOUS1A ber{ühmt}
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COMPANY1B firma
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$LIST1:1of1
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AIRPORT2* airbus
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$LIST1:2of2d
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$ORG-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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$GEST^
00:09:39:28
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Then there‘s Astrium, where Airbus and NASA work together.
00:09:39:36
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$ALPHA1:A-S-T-R-I-U-M astrium
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ROCKET1B^ apollo
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$ALPHA1:N-A-S-A* nasa
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TOGETHER3A zusamm
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TO-WORK1* arbeit
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Then there's the drop tower research at the University [of Bremen], which is about weight and pressure.
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$LIST1:2of2d*
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$INDEX1
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CASE1 fallturm
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TOWER1
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$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
00:09:47:49
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What other companies are there?
00:09:48:37
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$LIST1:2of2d
00:09:48:42
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COMPANY1B* firma
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$GEST^
00:09:50:26
00:09:50:36
OHB, they are concerned with astronautics, as well. They get bigger and bigger, they even take orders from Astrium.
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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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$ALPHA1:O-H-B* o-h-b
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MORE3 mehr mehr mehr
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TO-LINK1B^* zusammen
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TO-WORK1 arbeit
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YES2
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ASSIGNMENT1B auftrag
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BACK-AND-FORTH1*
00:09:56:09
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Nothing is left concerning shipbuilding - all dockyards like the Bremer Vulkan [name of a big dockyard] are bankrupt.
00:09:56:38
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$LIST1:1of1d
00:09:57:20
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$GEST^
00:09:58:27
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SHIP1 schiff
00:09:59:08
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WHAT1A^
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BROKEN4 [MG]
00:10:00:06
00:10:00:18
00:10:00:18
00:10:00:31
OVER1
00:10:00:31
00:10:01:00
00:10:01:00
00:10:01:10
SHIP1* schiff
00:10:01:10
00:10:01:14
00:10:01:14
00:10:01:42
$ALPHA1:U-L-E* vulkan
00:10:01:42
00:10:01:49
00:10:01:49
00:10:02:13
BROKEN4 [MG]
00:10:02:13
00:10:02:24
00:10:02:24
00:10:02:33
OVER1
00:10:02:33
00:10:02:36
00:10:02:36
00:10:03:29
Um.
00:10:03:29
00:10:05:48
$GEST^ [MG]
00:10:05:48
00:10:06:10
00:10:06:10
00:10:06:17
Another big company is Mercedes. BIG3B*
00:10:06:17
00:10:06:23
00:10:06:23
00:10:06:26
COMPANY1A*
00:10:06:26
00:10:06:32
00:10:06:32
00:10:07:00
$ORG-MERCEDES1 merce{des}
00:10:07:00
00:10:07:03
00:10:07:03
00:10:08:16
Let me think. $GEST-TO-PONDER1^
00:10:08:16
00:10:08:33
There are other well-known companies.
00:10:08:33
00:10:08:43
FAMOUS1A be{rühmt}
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00:10:09:02
00:10:09:11
COMPANY1B* firma
00:10:09:11
00:10:09:20
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PRESENT-OR-HERE1 da da
00:10:10:04
00:10:10:08
00:10:10:08
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$GEST-OFF1^*
00:10:10:14
00:10:10:39
Um, I cannot remember any, but there are other famous companies.
00:10:10:39
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$GEST-TO-PONDER3^*
00:10:13:23
00:10:13:30
00:10:13:30
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TO-KNOW-STH2B*
00:10:13:35
00:10:14:00
00:10:14:00
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NOTHING1A*
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FAMOUS1A* berühmt
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00:10:15:36
00:10:15:36
00:10:15:41
COMPANY1B* f{irma}
00:10:15:41
00:10:15:48
00:10:15:48
00:10:16:24
PRESENT-OR-HERE1
00:10:16:24
00:10:18:15
00:10:18:15
00:10:18:26
Big and small ones. Kraft, it’s Kraft.
00:10:18:26
00:10:18:33
BIG3A groß
00:10:18:33
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FORCE2B kraft
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00:10:19:14
SMALL11 klein
00:10:19:14
00:10:19:18
00:10:19:18
00:10:20:18
$ALPHA1:K-R-A-F-T
00:10:20:18
00:10:20:21
00:10:20:21
00:10:21:12
FORCE2B kraft
00:10:21:12
00:10:21:30
Kraft.
00:10:21:30
00:10:21:36
FORCE2A kraft
00:10:21:36
00:10:22:03
$ALPHA1:K-R-A-F-T kraft
00:10:22:03
00:10:22:07
00:10:22:07
00:10:22:09
I am not sure if their place of business is right downtown of Bremen.
00:10:22:09
00:10:22:15
$ALPHA1:K*
00:10:22:15
00:10:22:27
00:10:22:27
00:10:22:36
CENTRE1A* zen{trum}
00:10:22:36
00:10:22:42
00:10:22:42
00:10:22:47
IN1*
00:10:22:47
00:10:23:02
00:10:23:02
00:10:23:10
BREMEN1* bremen
00:10:23:10
00:10:23:13
00:10:23:13
00:10:23:21
I1
00:10:23:21
00:10:23:27
00:10:23:27
00:10:23:35
TO-KNOW-STH2B*
00:10:23:35
00:10:23:38
00:10:23:38
00:10:23:45
NOT5*
00:10:23:45
00:10:23:46
00:10:23:46
00:10:23:49
Right.
00:10:23:49
00:10:24:12
RIGHT-OR-AGREED1B stimmt
00:10:24:12
00:10:24:18
00:10:24:18
00:10:24:21
Yes, right, I can remember the building with its logo.
00:10:24:21
00:10:24:26
00:10:24:26
00:10:24:32
They produce Milka chocolate, or something like that.
00:10:24:32
00:10:24:36
$INDEX1
00:10:24:36
00:10:24:39
TOWER1
00:10:24:39
00:10:24:48
00:10:24:48
00:10:25:11
CHOCOLATE2 schoko
00:10:25:11
00:10:25:19
COMPANY1A
00:10:25:19
00:10:25:23
00:10:25:23
00:10:25:30
TOGETHER3A^* milka
00:10:25:30
00:10:25:33
YES2
00:10:25:33
00:10:25:40
00:10:25:40
00:10:26:04
CHOCOLATE2*
00:10:26:04
00:10:26:13
00:10:26:13
00:10:26:17
00:10:26:17
00:10:26:20
They belong to Jacobs.
00:10:26:20
00:10:26:28
$LIST1:2of2d*
00:10:26:28
00:10:26:30
00:10:26:30
00:10:26:34
TOGETHER1A* zusammen zusammen
00:10:26:34
00:10:27:03
TO-EAT-OR-FOOD2*
00:10:27:03
00:10:27:08
00:10:27:08
00:10:27:13
TO-LIST1A*
00:10:27:13
00:10:27:21
YES2
00:10:27:21
00:10:27:25
00:10:27:25
00:10:27:33
$ALPHA1:J_2 jacobs
00:10:27:33
00:10:27:41
YES1A*
00:10:27:41
00:10:28:01
00:10:28:01
00:10:28:17
$ALPHA1:J-C-O-#-S j-a-c-o-b-s
00:10:28:17
00:10:28:39
No, there is the Jacobs coffee, and there is Kraft. They are separate companies.
00:10:28:39
00:10:28:43
00:10:28:43
00:10:29:00
TO-BELONG1^* jacobs kaffee
00:10:29:00
00:10:29:15
Jacobs and Milka belong to Kraft.
00:10:29:15
00:10:29:16
$INDEX1TO-LIST1C* jacobs
00:10:29:16
00:10:29:23
00:10:29:23
00:10:29:35
COFFEE2A
00:10:29:35
00:10:29:36
00:10:29:36
00:10:30:14
LOCATION1B^*
00:10:30:14
00:10:30:22
COFFEE2A kaffee
00:10:30:22
00:10:30:26
00:10:30:26
00:10:30:30
ANOTHER2 nochein
00:10:30:30
00:10:30:36
$INDEX1
00:10:30:36
00:10:30:43
00:10:30:43
00:10:31:00
FORCE2B* kraft
00:10:31:00
00:10:31:07
00:10:31:07
00:10:31:19
LOCATION1B^*
00:10:31:19
00:10:31:23
$INDEX1 jacobs
00:10:31:23
00:10:31:31
00:10:31:31
00:10:31:34
$ALPHA1:J_2
00:10:31:34
00:10:31:39
ANOTHER2 nochein
00:10:31:39
00:10:31:41
00:10:31:41
00:10:31:44
00:10:31:44
00:10:31:48
LOCATION1B^*
00:10:31:48
00:10:32:02
TO-BELONG1 gehört
00:10:32:02
00:10:32:08
00:10:32:08
00:10:32:12
CHOCOLATE2*
00:10:32:12
00:10:32:22
00:10:32:22
00:10:32:37
TO-MILK1C^ milka-schokolade
00:10:32:37
00:10:32:41
00:10:32:41
00:10:33:07
CHOCOLATE2
00:10:33:07
00:10:33:13
00:10:33:13
00:10:33:21
TO-BELONG1 gehört
00:10:33:21
00:10:33:38
00:10:33:38
00:10:34:23
FORCE2B kraft
00:10:34:23
00:10:34:39
Jacobs does not have any chocolate?
00:10:34:39
00:10:34:44
$GEST^
00:10:34:44
00:10:35:06
00:10:35:06
00:10:35:13
$INDEX1
00:10:35:13
00:10:35:20
00:10:35:20
00:10:35:28
00:10:35:28
00:10:35:38
$ALPHA1:J_2 jacobs
00:10:35:38
00:10:35:45
00:10:35:45
00:10:36:01
ALSO1A* auch
00:10:36:01
00:10:36:09
00:10:36:09
00:10:37:18
CHOCOLATE2 schokolade
00:10:37:18
00:10:37:21
There is something written on it. But it must be something else.
00:10:37:21
00:10:37:24
$ALPHA1:M-I mil{ka}
00:10:37:24
00:10:37:28
DIFFERENT1* anders
00:10:37:28
00:10:37:30
00:10:37:30
00:10:37:35
00:10:37:35
00:10:38:20
TO-BELONG1^*
00:10:38:20
00:10:38:30
$PROD*
00:10:38:30
00:10:39:01
Hachez!
00:10:39:01
00:10:39:11
00:10:39:11
00:10:39:38
00:10:39:38
00:10:39:49
Right, Hachez is a chocolate company here in Bremen. It is located in the new town.
00:10:39:49
00:10:40:15
$GEST^
00:10:40:15
00:10:40:17
00:10:40:17
00:10:40:20
OWN1B$INDEX1 eigen
00:10:40:20
00:10:40:36
00:10:40:36
00:10:40:47
BREMEN1 bremen
00:10:40:47
00:10:41:01
00:10:41:01
00:10:41:08
CHOCOLATE2 schokolade
00:10:41:08
00:10:41:16
00:10:41:16
00:10:42:23
$ALPHA1:H-A-#-Z hachez
00:10:42:23
00:10:42:32
00:10:42:32
00:10:43:00
$INDEX1
00:10:43:00
00:10:43:12
00:10:43:12
00:10:43:15
OWN1B* eigen
00:10:43:15
00:10:43:20
00:10:43:20
00:10:43:29
00:10:43:29
00:10:43:38
BREMEN1* bremen
00:10:43:38
00:10:43:39
00:10:43:39
00:10:44:04
$PROD*
00:10:44:04
00:10:44:23
00:10:44:23
00:10:44:28
$ALPHA1:H$PROD* hachez
00:10:44:28
00:10:44:48
00:10:44:48
00:10:45:11
$INDEX1
00:10:45:11
00:10:45:24
00:10:45:24
00:10:45:28
NEW1A neustadt
00:10:45:28
00:10:45:35
00:10:45:35
00:10:45:42
CITY2
00:10:45:42
00:10:45:43
00:10:45:43
00:10:45:47
They produce typical chocolate from Bremen.
00:10:45:47
00:10:46:06
$INDEX1
00:10:46:06
00:10:46:21
00:10:46:21
00:10:46:27
OWN1B eigen
00:10:46:27
00:10:46:37
00:10:46:37
00:10:47:00
TO-MIX4^ produkt
00:10:47:00
00:10:47:10
00:10:47:10
00:10:47:26
BREMEN1 bremen
00:10:47:26
00:10:47:35
00:10:47:35
00:10:48:04
CHOCOLATE2 schokolade
00:10:48:04
00:10:48:06
00:10:48:06
00:10:48:13
And Milka belongs to Jacobs.
00:10:48:13
00:10:48:19
TO-SAY1
00:10:48:19
00:10:48:23
00:10:48:23
00:10:48:28
DIFFERENT1 an{dere}
00:10:48:28
00:10:48:35
00:10:48:35
00:10:49:11
$ALPHA1:M-I-L-K-A milka
00:10:49:11
00:10:49:17
00:10:49:17
00:10:49:20
TO-BELONG1^
00:10:49:20
00:10:49:24
00:10:49:24
00:10:49:41
$ALPHA1:J_2 jacobs
00:10:49:41
00:10:50:03
00:10:50:03
00:10:50:12
TO-BELONG1^
00:10:50:12
00:10:50:43
00:10:50:43
00:10:51:19
That's how it is, right.
00:10:51:19
00:10:51:33
$INDEX1*
00:10:51:33
00:10:51:45
00:10:51:45
00:10:52:02
$INDEX1*
00:10:52:02
00:10:52:31
00:10:52:31
00:10:53:44
Awesome.
00:10:53:44
00:10:55:20
00:10:55:20
00:10:57:00
Can you talk about your home now?
00:10:57:00
00:10:57:13
Yes, Osnabrück.
00:10:57:13
00:10:57:43
YES2
00:10:57:43
00:10:58:00
00:10:58:00
00:10:58:47
OSNABRÜCK1* osnabrück
00:10:58:47
00:10:59:01
00:10:59:01
00:10:59:31
Well, let's hear it.
00:10:59:31
00:11:01:23
00:11:01:23
00:11:01:36
I have lived in Bremen for the last ten years, and I am quite rooted in.
00:11:01:36
00:11:01:44
HERE1 hier
00:11:01:44
00:11:02:29
00:11:02:29
00:11:02:45
ALREADY1A schon
00:11:02:45
00:11:03:07
00:11:03:07
00:11:03:13
I1*
00:11:03:13
00:11:03:18
00:11:03:18
00:11:03:30
BREMEN1 bremen
00:11:03:30
00:11:03:38
00:11:03:38
00:11:04:19
YEAR1A* zehn jahre
00:11:04:19
00:11:04:37
00:11:04:37
00:11:05:24
ROOT1B* wurzel
00:11:05:24
00:11:05:34
00:11:05:34
00:11:06:02
SOLID1 [MG]
00:11:06:02
00:11:06:17
00:11:06:17
00:11:06:38
I was born and raised in Georgsmarienhütte near Osnabrück.
00:11:06:38
00:11:06:49
ROUND-THE-CORNER2^* um
00:11:06:49
00:11:07:04
00:11:07:04
00:11:07:11
I1
00:11:07:11
00:11:07:20
00:11:07:20
00:11:07:36
BIRTH1A [MG]
00:11:07:36
00:11:07:43
00:11:07:43
00:11:07:48
REALLY2*
00:11:07:48
00:11:08:05
00:11:08:05
00:11:08:17
OSNABRÜCK1 osnabrück
00:11:08:17
00:11:08:26
00:11:08:26
00:11:08:31
CLOSE-BY1B [MG]
00:11:08:31
00:11:08:33
00:11:08:33
00:11:09:08
LOCATION3* [MG]
00:11:09:08
00:11:09:19
00:11:09:19
00:11:09:43
$NAME georgsmarienhütte
00:11:09:43
00:11:10:21
00:11:10:21
00:11:10:25
BIRTH1A* aufgewachsen
00:11:10:25
00:11:10:32
00:11:10:32
00:11:11:11
TO-GROW-UP1A
00:11:11:11
00:11:11:14
The landscape is quite interesting.
00:11:11:14
00:11:11:37
$GEST^
00:11:11:37
00:11:11:43
00:11:11:43
00:11:12:02
WHAT-DOES-IT-LOOK-LIKE1* wie sie{ht es} aus
00:11:12:02
00:11:12:10
00:11:12:10
00:11:12:14
HOW-QUESTION2* wie
00:11:12:14
00:11:12:22
00:11:12:22
00:11:13:07
AREA1A [MG]
00:11:13:07
00:11:13:20
00:11:13:20
00:11:13:33
INTEREST1A* interessant
00:11:13:33
00:11:13:41
00:11:13:41
00:11:14:30
LANDSCAPE1* landschaft
00:11:14:30
00:11:14:35
It is really hilly, and the landscape has a lightness to it.
00:11:14:35
00:11:16:22
$PROD* [MG]
00:11:16:22
00:11:16:33
00:11:16:33
00:11:18:17
EASY-OR-LIGHT1 leicht
00:11:18:17
00:11:18:23
00:11:18:23
00:11:18:27
The area to the north of Osnabrück is called ‘Wiehengebirge’, and to the south the ‘Teutoburger Wald’ is located.
00:11:18:27
00:11:18:49
FROM-OR-BY-OR-OF2*
00:11:18:49
00:11:19:09
00:11:19:09
00:11:19:23
NORTH1B nord
00:11:19:23
00:11:19:32
00:11:19:32
00:11:19:44
NAME1A name
00:11:19:44
00:11:19:49
00:11:19:49
00:11:20:43
$ALPHA1:W-I-E-N* wiehengebirge
00:11:20:43
00:11:21:20
MOUNTAINS1*
00:11:21:20
00:11:21:44
00:11:21:44
00:11:22:08
SOUTH1B süd
00:11:22:08
00:11:22:42
00:11:22:42
00:11:23:05
$ALPHA1:T teutoburger wald
00:11:23:05
00:11:23:08
00:11:23:08
00:11:23:25
FOREST2A*
00:11:23:25
00:11:23:37
00:11:23:37
00:11:24:21
$PROD*
00:11:24:21
00:11:24:27
Osnabrück is located in a valley in between those two areas.
00:11:24:27
00:11:24:47
$PROD* zwischen
00:11:24:47
00:11:25:01
00:11:25:01
00:11:25:16
OSNABRÜCK1* osnabrück
00:11:25:16
00:11:25:26
00:11:25:26
00:11:25:38
COUNTRY2* land
00:11:25:38
00:11:26:07
00:11:26:07
00:11:27:06
VALLEY1* tal
00:11:27:06
00:11:27:12
00:11:27:12
00:11:27:30
OSNABRÜCK1* osnabrück
00:11:27:30
00:11:27:36
00:11:27:36
00:11:27:46
The landscape is really beautiful.
00:11:27:46
00:11:28:03
BEAUTIFUL1A schö{n}
00:11:28:03
00:11:28:10
00:11:28:10
00:11:28:36
LANDSCAPE1* landschaft
00:11:28:36
00:11:28:42
Especially during summer or fall, when the forest looks particularly beautiful.
00:11:28:42
00:11:29:04
PARTICULARLY1A besonders
00:11:29:04
00:11:29:08
00:11:29:08
00:11:29:13
IN1 im
00:11:29:13
00:11:29:23
00:11:29:23
00:11:30:03
SUMMER9 sommer
00:11:30:03
00:11:30:16
00:11:30:16
00:11:30:25
$ORAL^ oder
00:11:30:25
00:11:30:27
00:11:30:27
00:11:30:42
AUTUMN1A herbst
00:11:30:42
00:11:31:22
00:11:31:22
00:11:31:30
PARTICULARLY1A besonders
00:11:31:30
00:11:31:38
00:11:31:38
00:11:32:25
FOREST5* wald
00:11:32:25
00:11:32:46
00:11:32:46
00:11:33:04
BEAUTIFUL1A schön
00:11:33:04
00:11:33:10
00:11:33:10
00:11:33:19
FOREST5* wald
00:11:33:19
00:11:33:29
You can take wonderful walks there, go hiking or biking.
00:11:33:29
00:11:33:40
TO-GO-FOR-A-WALK2B*
00:11:33:40
00:11:33:45
00:11:33:45
00:11:34:13
TO-HIKE2* wandern
00:11:34:13
00:11:34:19
00:11:34:19
00:11:34:28
SUPER2* [MG]
00:11:34:28
00:11:34:41
00:11:34:41
00:11:35:26
TO-STEP-PEDAL3^ mountainbike
00:11:35:26
00:11:35:31
00:11:35:31
00:11:35:39
$PROD*
00:11:35:39
00:11:36:08
00:11:36:08
00:11:36:30
SUPER2* [MG]
00:11:36:30
00:11:36:42
It is nice to cruise around the region of Osnabrück with a motorcycle, because of the surrounding landscape and the winding roads.
00:11:36:42
00:11:37:07
MOTORCYCLE1A* motorradtour
00:11:37:07
00:11:37:16
00:11:37:16
00:11:38:03
JOURNEY1C^
00:11:38:03
00:11:38:18
00:11:38:18
00:11:38:38
$INDEX1*
00:11:38:38
00:11:38:44
00:11:38:44
00:11:39:09
OSNABRÜCK1* os{nabrück}
00:11:39:09
00:11:39:16
00:11:39:16
00:11:39:24
$GEST^
00:11:39:24
00:11:39:31
00:11:39:31
00:11:40:03
$INDEX1
00:11:40:03
00:11:40:06
00:11:40:06
00:11:40:11
OSNABRÜCK1*
00:11:40:11
00:11:40:14
00:11:40:14
00:11:40:20
$GEST^
00:11:40:20
00:11:40:27
00:11:40:27
00:11:41:29
$INDEX1* landkreis
00:11:41:29
00:11:41:37
MOTORCYCLE1A* motorradtour
00:11:41:37
00:11:41:44
00:11:41:44
00:11:41:49
JOURNEY1B^
00:11:41:49
00:11:42:06
00:11:42:06
00:11:42:32
SUPER2$INDEX1* [MG]
00:11:42:32
00:11:42:48
00:11:42:48
00:11:43:25
$PROD* kurven
00:11:43:25
00:11:43:38
00:11:43:38
00:11:44:06
BEAUTIFUL1A* schön
00:11:44:06
00:11:44:25
00:11:44:25
00:11:47:07
00:11:47:07
00:11:48:05
There is a landmark of the Roman Age in Detmold. $GEST^
00:11:48:05
00:11:48:17
00:11:48:17
00:11:48:22
PAST-OR-BACK-THEN2*
00:11:48:22
00:11:48:33
00:11:48:33
00:11:48:47
TIME5A* zeit
00:11:48:47
00:11:49:02
00:11:49:02
00:11:49:44
ROME1 römer
00:11:49:44
00:11:50:08
00:11:50:08
00:11:50:16
TO-SEE1 sehenswürdigkeiten
00:11:50:16
00:11:50:18
00:11:50:18
00:11:50:45
$ALPHA1:W
00:11:50:45
00:11:51:04
00:11:51:04
00:11:51:05
$INDEX1
00:11:51:05
00:11:51:10
00:11:51:10
00:11:51:21
WHERE1A wo
00:11:51:21
00:11:51:42
00:11:51:42
00:11:52:35
DETMOLD-$CANDIDATE-HB18^ detmold
00:11:52:35
00:11:53:01
00:11:53:01
00:11:53:30
$INDEX1
00:11:53:30
00:11:53:34
Well, it is not directly located in the village.
00:11:53:34
00:11:53:39
REALLY2*
00:11:53:39
00:11:54:00
00:11:54:00
00:11:54:09
LOCATION3* ort
00:11:54:09
00:11:54:15
00:11:54:15
00:11:54:19
RIGHT-OR-CORRECT1B*
00:11:54:19
00:11:54:29
00:11:54:29
00:11:54:44
$INDEX1
00:11:54:44
00:11:55:34
NO1A*
00:11:55:34
00:11:55:36
00:11:55:36
00:11:55:46
They discovered some remains of the Roman Age while doing some archeological excavations.
00:11:55:46
00:11:56:06
TO-FIND1B* gefunden
00:11:56:06
00:11:56:14
00:11:56:14
00:11:56:28
RESEARCH1A* forsch
00:11:56:28
00:11:56:35
00:11:56:35
00:11:57:30
$INDEX1* [MG]
00:11:57:30
00:11:57:33
00:11:57:33
00:11:57:44
Most of the finds are located north-west of Bramsche.
00:11:57:44
00:11:58:14
CLOSE-BY1B* [MG]
00:11:58:14
00:11:58:39
00:11:58:39
00:11:59:00
OSNABRÜCK1$INDEX1 osnabrücker
00:11:59:00
00:11:59:04
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$ALPHA1:E-R
00:11:59:13
00:11:59:26
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00:11:59:35
$CUED-SPEECH*$PROD* bramsche
00:11:59:35
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00:11:59:40
00:12:00:23
$PROD*
00:12:00:23
00:12:00:30
00:12:00:30
00:12:01:02
$INDEX1
00:12:01:02
00:12:01:03
00:12:01:03
00:12:01:19
They actually found a lot of different fragments from the Romans.
00:12:01:19
00:12:01:25
REALLY2 [MG]
00:12:01:25
00:12:01:31
00:12:01:31
00:12:01:35
MUCH1C* viel
00:12:01:35
00:12:01:43
00:12:01:43
00:12:02:14
TO-FIND1B* gefunden
00:12:02:14
00:12:02:25
00:12:02:25
00:12:02:36
PART1A teil
00:12:02:36
00:12:02:42
00:12:02:42
00:12:03:08
HISTORY-OR-STORY3* geschichte
00:12:03:08
00:12:03:12
00:12:03:12
00:12:03:44
PAST-OR-BACK-THEN1*
00:12:03:44
00:12:04:08
00:12:04:08
00:12:04:40
TO-DIG1D^* römer
00:12:04:40
00:12:05:03
00:12:05:03
00:12:05:24
ROME1 römer
00:12:05:24
00:12:05:28
00:12:05:28
00:12:05:39
You should take a look at it.
00:12:05:39
00:12:06:01
TO-RECOMMEND1C* empfehl
00:12:06:01
00:12:06:06
00:12:06:06
00:12:06:12
ALSO1A* auch
00:12:06:12
00:12:06:21
00:12:06:21
00:12:06:37
TO-SEE1 sehen
00:12:06:37
00:12:06:47
00:12:06:47
00:12:07:13
TO-FIND-STH-GREAT2*$INDEX1 [MG]
00:12:07:13
00:12:07:21
00:12:07:21
00:12:07:28
The museum grows bigger constantly.
00:12:07:28
00:12:07:35
$INDEX1
00:12:07:35
00:12:08:01
00:12:08:01
00:12:08:09
MUSEUM1* museum
00:12:08:09
00:12:08:17
00:12:08:17
00:12:09:23
BIG3A* größer größer größer
00:12:09:23
00:12:09:28
00:12:09:28
00:12:09:33
Even though I haven't seen it myself, either.
00:12:09:33
00:12:09:38
I1 obwohl
00:12:09:38
00:12:09:42
00:12:09:42
00:12:10:00
ALTHOUGH1*
00:12:10:00
00:12:10:06
00:12:10:06
00:12:10:19
SELF1A selbst
00:12:10:19
00:12:10:27
00:12:10:27
00:12:10:37
ALONE1A^ noch nie
00:12:10:37
00:12:10:43
00:12:10:43
00:12:11:12
TO-SEE1 sehen
00:12:11:12
00:12:11:16
00:12:11:16
00:12:11:30
$GEST^
00:12:11:30
00:12:11:36
I am desperate to look at it soon.
00:12:11:36
00:12:11:43
MUST1* muss mal
00:12:11:43
00:12:11:46
00:12:11:46
00:12:12:16
TO-LOOK1 mal schauen
00:12:12:16
00:12:12:29
00:12:12:29
00:12:12:38
$INDEX1
00:12:12:38
00:12:12:49
00:12:12:49
00:12:13:16
TO-FIND-STH-GREAT2* [MG]
00:12:13:16
00:12:13:20
00:12:13:20
00:12:13:32
$GEST^
00:12:13:32
00:12:14:07
00:12:14:07
00:12:14:16
A large company is called ‘Karmann’.
00:12:14:16
00:12:14:34
BIG3B groß
00:12:14:34
00:12:14:47
00:12:14:47
00:12:15:16
COMPANY1B firma
00:12:15:16
00:12:15:31
00:12:15:31
00:12:15:36
EXAMPLE1* beispiel
00:12:15:36
00:12:15:42
00:12:15:42
00:12:16:15
$ALPHA1:K-A-R* karmann
00:12:16:15
00:12:16:28
00:12:16:28
00:12:16:44
MAN1*
00:12:16:44
00:12:17:29
00:12:17:29
00:12:17:36
VW has taken them over by now.
00:12:17:36
00:12:17:44
NOW1 jetzt
00:12:17:44
00:12:18:33
00:12:18:33
00:12:18:49
$ALPHA1:V-W v-w
00:12:18:49
00:12:19:05
00:12:19:05
00:12:20:17
TO-UNDERTAKE1* [MG]
00:12:20:17
00:12:20:22
00:12:20:22
00:12:20:26
NOW1
00:12:20:26
00:12:20:29
00:12:20:29
00:12:20:42
$ALPHA1:V-W v-w
00:12:20:42
00:12:21:00
00:12:21:00
00:12:21:10
Thankfully, the company is still running.
00:12:21:10
00:12:21:24
$GEST^ [MG]
00:12:21:24
00:12:21:26
00:12:21:26
00:12:21:37
FURTHER1A weiter
00:12:21:37
00:12:21:43
00:12:21:43
00:12:21:49
TO-RUN-MACHINE1* läuft
00:12:21:49
00:12:22:06
00:12:22:06
00:12:22:13
STILL4A noch
00:12:22:13
00:12:22:22
00:12:22:22
00:12:22:29
COMPANY1B firma
00:12:22:29
00:12:22:31
00:12:22:31
00:12:22:39
$ALPHA1:K karmann
00:12:22:39
00:12:22:43
00:12:22:43
00:12:23:01
THERE-IS3*
00:12:23:01
00:12:23:24
00:12:23:24
00:12:23:37
Of course, there is soccer, as well - the VfL Osnabrück.
00:12:23:37
00:12:24:16
$LIST1:2of2d [MG]
00:12:24:16
00:12:24:27
00:12:24:27
00:12:25:03
OBJECT-ON-CLOTHES1A^ v-f-l
00:12:25:03
00:12:25:17
00:12:25:17
00:12:25:43
FOOTBALL1A fußball
00:12:25:43
00:12:26:07
00:12:26:07
00:12:26:20
$GEST^
00:12:26:20
00:12:26:32
00:12:26:32
00:12:26:38
What are you talking about?
00:12:26:38
00:12:26:49
00:12:26:49
00:12:27:09
OBJECT-ON-CLOTHES1A^
00:12:27:09
00:12:27:19
The VfL.
00:12:27:19
00:12:27:47
$ALPHA1:V-F-L v-f-l
00:12:27:47
00:12:28:07
00:12:28:07
00:12:28:15
00:12:28:15
00:12:28:22
Pah, the third division.
00:12:28:22
00:12:28:32
$GEST-DECLINE1^ FOOTBALL1A fußball
00:12:28:32
00:12:29:02
00:12:29:02
00:12:29:09
$NUM-ORDINAL1:3d dritte
00:12:29:09
00:12:29:10
00:12:29:10
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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
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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
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00:12:36:06
00:12:36:26
CITY2*
00:12:36:26
00:12:36:32
00:12:36:32
00:12:36:37
ALSO3A auch
00:12:36:37
00:12:36:49
00:12:36:49
00:12:37:18
BEAUTIFUL3* schön
00:12:37:18
00:12:38:03
00:12:38:03
00:12:39:07
SMALL11* klein
00:12:39:07
00:12:39:08
00:12:39:08
00:12:39:13
Even though, it is tiny, there is a lot to be seen.
00:12:39:13
00:12:39:18
ALSO1A auch
00:12:39:18
00:12:39:23
00:12:39:23
00:12:39:42
SMALL11* klein
00:12:39:42
00:12:40:11
00:12:40:11
00:12:40:24
MUCH1C viel
00:12:40:24
00:12:40:31
00:12:40:31
00:12:41:03
TO-SEE1* zu sehen
00:12:41:03
00:12:41:18
00:12:41:18
00:12:41:35
A few special features.
00:12:41:35
00:12:41:44
NOT3A nicht
00:12:41:44
00:12:42:01
00:12:42:01
00:12:42:09
MUCH1C viel
00:12:42:09
00:12:42:20
00:12:42:20
00:12:42:36
PARTICULARLY1A* besonders
00:12:42:36
00:12:42:41
00:12:42:41
00:12:42:47
The town hall is nice.
00:12:42:47
00:12:43:30
$ALPHA1:R rathaus
00:12:43:30
00:12:43:38
00:12:43:38
00:12:44:03
HOUSE1A*
00:12:44:03
00:12:44:17
00:12:44:17
00:12:44:22
BEAUTIFUL1A schö{n}
00:12:44:22
00:12:44:30
00:12:44:30
00:12:45:22
ROUND-BALL1^* groß
00:12:45:22
00:12:45:33
00:12:45:33
00:12:45:37
Three-fourth of Osnabrück were destroyed during World War II.
00:12:45:37
00:12:46:00
OSNABRÜCK1* osnabrück
00:12:46:00
00:12:46:13
00:12:46:13
00:12:46:32
RIGHT-OR-AGREED1^*
00:12:46:32
00:12:46:47
00:12:46:47
00:12:47:07
APPROXIMATELY2* ungefähr
00:12:47:07
00:12:47:17
00:12:47:17
00:12:47:24
$NUM-NUMERATOR1:3d* dreiviertel
00:12:47:24
00:12:47:34
00:12:47:34
00:12:48:09
$NUM-DENOMINATOR1:4*
00:12:48:09
00:12:48:25
00:12:48:25
00:12:49:12
TO-DESTROY1* zerstört
00:12:49:12
00:12:49:28
00:12:49:28
00:12:50:03
GONE-VANISHED3 weg
00:12:50:03
00:12:50:07
00:12:50:07
00:12:50:29
$NUM-ORDINAL1:2d* zweiten weltkrieg
00:12:50:29
00:12:50:36
00:12:50:36
00:12:51:22
WAR1A*
00:12:51:22
00:12:52:03
00:12:52:03
00:12:52:08
That's too bad.
00:12:52:08
00:12:52:49
TOO-BAD1
00:12:52:49
00:12:53:17
00:12:53:17
00:12:54:13
There is a “Ratskeller” next to the town hall.
00:12:54:13
00:12:54:19
AND5 und
00:12:54:19
00:12:54:23
00:12:54:23
00:12:54:29
OLD5A* a{lt}
00:12:54:29
00:12:54:36
00:12:54:36
00:12:55:01
$ALPHA1:R rathaus
00:12:55:01
00:12:55:05
00:12:55:05
00:12:55:09
HOUSE1A*
00:12:55:09
00:12:55:20
00:12:55:20
00:12:55:25
$ALPHA1:R* ratskeller
00:12:55:25
00:12:55:37
00:12:55:37
00:12:56:06
CELLAR1*
00:12:56:06
00:12:56:30
00:12:56:30
00:12:56:43
$INDEX1 [MG]
00:12:56:43
00:12:57:02
00:12:57:02
00:12:57:06
I1
00:12:57:06
00:12:57:17
00:12:57:17
00:12:57:43
SMALL6* klein
00:12:57:43
00:12:58:08
00:12:58:08
00:12:58:20
SWEET1 süß
00:12:58:20
00:12:58:24
00:12:58:24
00:12:58:33
They have really good food.
00:12:58:33
00:12:58:46
TO-EAT-OR-FOOD2* essen
00:12:58:46
00:12:59:11
00:12:59:11
00:13:00:01
TASTY1* lecker
00:13:00:01
00:13:00:10
And all sorts of great wine.
00:13:00:10
00:13:00:19
TO-SWAY1^
00:13:00:19
00:13:00:25
00:13:00:25
00:13:00:35
TO-DRINK1 wein
00:13:00:35
00:13:00:39
00:13:00:39
00:13:00:45
ALSO1A auch
00:13:00:45
00:13:01:06
00:13:01:06
00:13:01:20
TASTY1* lecker
00:13:01:20
00:13:01:34
00:13:01:34
00:13:01:47
DISTINCT1 verschieden
00:13:01:47
00:13:02:03
00:13:02:03
00:13:02:37
SORT1* sortiert
00:13:02:37
00:13:02:41
00:13:02:41
00:13:03:10
But the “Ratskeller” is quite small.
00:13:03:10
00:13:04:02
SMALL6* klein
00:13:04:02
00:13:04:18
00:13:04:18
00:13:04:46
$GEST^
00:13:04:46
00:13:05:03
00:13:05:03
00:13:05:14
The town hall is quite big, actually. Still, the civil registry office is located next door.
00:13:05:14
00:13:05:22
$ALPHA1:R rathaus
00:13:05:22
00:13:05:44
00:13:05:44
00:13:06:23
BIG3B
00:13:06:23
00:13:06:30
00:13:06:30
00:13:06:37
NO1A* [MG]
00:13:06:37
00:13:07:03
00:13:07:03
00:13:07:16
RING1A^* standes{amt}
00:13:07:16
00:13:07:28
00:13:07:28
00:13:07:40
TO-MARRY3A* heirat
00:13:07:40
00:13:07:49
00:13:07:49
00:13:08:02
$INDEX1
00:13:08:02
00:13:08:22
NO1A* [MG]
00:13:08:22
00:13:08:26
00:13:08:26
00:13:08:31
GREAT1A* toll
00:13:08:31
00:13:08:46
00:13:08:46
00:13:09:09
NEXT-TO1A*
00:13:09:09
00:13:09:15
00:13:09:15
00:13:09:31
NEXT-TO2 [MG]
00:13:09:31
00:13:09:34
00:13:09:34
00:13:10:03
NEXT-TO1B* [MG]
00:13:10:03
00:13:10:12
00:13:10:12
00:13:10:21
RING1A^* standesamt
00:13:10:21
00:13:10:39
00:13:10:39
00:13:11:07
TO-MARRY3A* heiraten
00:13:11:07
00:13:11:28
00:13:11:28
00:13:11:38
$INDEX1
00:13:11:38
00:13:11:43
00:13:11:43
00:13:12:04
The cathedral is located next to it.
00:13:12:04
00:13:12:39
NEXT-TO1A* [MG]
00:13:12:39
00:13:13:36
00:13:13:36
00:13:13:49
TO-PRAY1A^ dom
00:13:13:49
00:13:14:16
00:13:14:16
00:13:14:42
CATHEDRAL1*
00:13:14:42
00:13:15:11
00:13:15:11
00:13:15:16