DOI: 10.25592/dgs.corpus-4.0-text-1179224

1179224 (hh08): Regional Specialities

Topics City and Country: Hamburg; Politics: Demographic Change; Society: Demographic Change

Time Translation Lexem/Gebärde Mouth Translation Lexeme/Sign Mouth Moderator
right hand left hand right hand left hand
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What’s typical of Hamburg is the fish.
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HAMBURG1* hamburg
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TYPICAL1 typisch
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FISH1* fisch
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People going to the fish market in the morning is quite a famous thing.
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MORNING3A* morgen{s}
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FISH1* fischmarkt
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MARKET4*
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WELL-KNOWN1A bekannt
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$INDEX2
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I mean, you know Hamburg!
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So, that’s your hometown?
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YOU1* du
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TO-KNOW-STH-OR-SB1B* kenn
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YOUR1 dein
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HOMELAND2* heimat $INDEX1 hamburg
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Yes, part of Hamburg, my hometown, is the fish market. It’s yours as well!
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EQUAL8* [MG]
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$GEST-NM-NOD-HEAD1^ sti{mmt}
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$$EXTRA-LING-ACT^
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Old/
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HAMBURG1* hamburg
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OLD5A a{lt}
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HOMELAND2 heimat
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FISH2* fischmarkt
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$GEST-ATTENTION1^
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$GEST-OFF1^
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$GEST-NM-NOD-HEAD1^ $$EXTRA-LING-ACT^
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So, Hamburg is known for its fish market.
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FISH2* fischmarkt
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MARKET4*
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WELL-KNOWN1A bekannt
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HAMBURG1* hamburg
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$INDEX1
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Hamburg is also known for its St. Michael’s church.
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OR1* o{der}
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$LIST1:2of2d
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$ALPHA1:S* sankt michel
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$ALPHA1:M
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ROUND-LONG4^
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WELL-KNOWN1A bekannt
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$INDEX1 hamburg
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Tourists like to visit it.
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POPULAR1 beliebt
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TO-LOOK-AT5*
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TOURIST1* tourist
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TO-LOOK-AT5
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The TV tower and the Reeperbahn are also very famous.
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TOWER1* f{ernsehturm}
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TO-SEE1* fernsehturm
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$CUED-SPEECH*
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TOWER1
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TO-LOOK-AT3*
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REEPERBAHN1 reeperbahn
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VERY-GOOD1A*
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WELL-KNOWN3C* bekannt
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Most deaf people who visit me usually want to see the Reeperbahn.
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MOST1B meist
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DEAF1A
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TO-VISIT-OR-TO-ATTEND1B*
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WHAT1B was
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TO-WISH1B wünsch
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AIM4 ziel
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WHAT1A* was
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REEPERBAHN1 reeperbahn
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TYPICAL1* typisch
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Of course the fish market is interesting.
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$LIST1:2of2d
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CLEAR1A* klar
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FISH1* fischmarkt
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MARKET4*
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BEAUTIFUL1A*
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INTEREST1B* interessant
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What else do we have?
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$LIST1:3of3d
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Samuel Heinicke.
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MASK3^* samuel heinicke
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Pardon, what? $GEST-NM-NOD-HEAD1^ wie bitte
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The head of Samuel Heinicke. That’s also something well known in Hamburg, the Samuel Heinicke bust.
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FACE1* samuel heinicke
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MASK3^
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$INDEX-ORAL1 hamburg
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WELL-KNOWN1A bekannt
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MUSEUM1* museum
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ROUND-LONG4^
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TO-THINK1B denkmal
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$PROD*
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Hamburg has it, this Samuel Heinicke.
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PRESENT-OR-HERE1 da
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$INDEX1
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HAMBURG1 hamburg
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MASK3^* samuel heinicke
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Oh, I see. I haven’t taken my guests there until now. $GEST-NM-NOD-HEAD1^ ach so
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No one goes there.
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I2*
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ALL2C alle TO-LEAD1A führe
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NOT3A nicht
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$NUM-ONE-TO-TEN1A:1 ni{cht} I2*
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ALL2C alle
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$NUM-ONE-TO-TEN1A:1 ni{cht} einmal
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MASS-OF-PEOPLE-ACTIVE2*
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Too bad you’ve never been there, with Hamburg being your hometown. That’s sad!
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SAD7* traurig
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$INDEX2
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$INDEX-ORAL1* hamburg
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HOMELAND2* heimat
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$INDEX2
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SAD7* traurig
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It’s bad that you don’t know where that Samuel Heinicke is! Your/
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YOUR1 dein
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$INDEX1 samuel heinicke
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TO-KNOW-STH2B
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$GEST-ATTENTION1^
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WHERE1A weiß nicht wo
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YOU1
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BAD3A* schlimm
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Oh, thanks. It’s not that bad!
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$GEST-DECLINE1^
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THANKS2 danke
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BAD3A* nicht schlimm
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There’s also something interesting close to where I live. $NUM-ONE-TO-TEN1A:3d
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AND2B* un{d}
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MY1*
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I1* ich
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APARTMENT1A wohnen
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CLOSE-BY1A [MG]
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UNDER1A^
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INTEREST1A [MG]
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AREA1A^ was
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You know, #I live in Name1, and right around the corner there are those hills, they are sand hills, do you know what I mean?
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I1
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$NAME #name1
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TO-KNOW-STH2A wusstest
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YOU1* du
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I1 ich
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APARTMENT1A wohne
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CLOSE-BY1B*
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$NAME #name1
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$INDEX1*
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UNDER1A* unter
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TO-OWN-TO-EXIST1 [MG]
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$PROD* dünen
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SAND1A* sand
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HILL1*
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TO-KNOW-STH2A* weiß
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They are really great!
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GREAT1A toll
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Sure, you know your home area very well.
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CLEAR1D* klar
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TO-BELONG2* [MG]
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HOMELAND2* heimat
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TO-KNOW-STH-OR-SB1A* kennen
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GOOD1 sehr gut
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You could go swimming for free, in a flooded gravel pit.
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TO-COST2B* kostenlos
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WITHOUT2
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TO-SWIM1 schwimmen
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TO-JOIN1^
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TO-KNEAD1B^ baggersee
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CIRCLE2*
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Back then that was an insider tip/ So, you both go there on a regular basis?
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WAS1*
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WHAT-DOES-THAT-MEAN1* bedeutet
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SECRET2B geheimt{ipp}
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BOTH2A*
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REGULARLY2* [MG]
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HINT2* TO-GO-THERE1*
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No, it’s secret. SECRET2B*
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That was back in 1974 or 1975 when students met there often.
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PAST-OR-BACK-THEN1 früher
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$NUM-TEEN2A:9 neunzehnhundertvierundsiebzig
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$NUM-ONE-TO-TEN1B:4
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$NUM-TENS1:7d*
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$NUM-ONE-TO-TEN1B:5 fünfundsie{bzig}
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$NUM-TENS1:7d*
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TO-STUDY1 student
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TYPICAL1* [MG]
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MASS-OF-PEOPLE-ACTIVE1*
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It was an insider tip, and everyone went swimming there because being there in the outdoors is nice.
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SECRET2B geheimtipp
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HINT2*
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TO-SWIM1 schwimmen
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MASS-OF-PEOPLE-ACTIVE1*
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$ORAL^ warum
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TO-JOIN2A*
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Interesting! I go swimming there on a regular basis.
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NATURE8* natur
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INTEREST1A
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TO-SWARM1
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TO-COME1
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I2* ich
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But now there’re many more tourists; they’ve employed lifeguards and installed toilets.
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THERE1
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NOW1 jetzt REGULARLY2* [MG]
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TO-SWIM1* schwimmen
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MORE3 mehr mehr
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TOURIST2*
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LIKE-HOW1A* wie
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$PROD* leute leute
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IN-ADDITION1 dazu
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TO-LIST1C
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TO-SWIM1* bad{emeister}
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SUPERVISION1A*
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$PROD*
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IN-ADDITION1 dazu
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WC2 w-c
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TO-PUT1B*
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It’s not an insider tip anymore.
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NOT1 nicht mehr
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SECRET2B geheimtipp
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HINT2*
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I’d like to discover new insider tips, places to go to, swimming for instance. I2* ich
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GLADLY1 gern
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SECRET2B geheimtipp
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HINT2
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TO-SWIM1* schwimmen
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$PROD*
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For example what you just proposed could also be interesting. $INDEX1 beisp{iel}
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TO-GIVE2^
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CLOSE-BY1A wohn
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AREA1A
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GOOD1*
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$INDEX1 da
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AREA1AINTEREST1A interessant
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#Your home region is Name1 is more interesting than mine. #In my neighborhood in Name2 there’s only a school for deaf children.
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$INDEX1
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HOMELAND2*
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HOMELAND1 heimat
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$NAME #name1
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AREA1A
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MOUNTAIN1A^ düne
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MORE1 mehr
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INTEREST1B i{nteressant}
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I1
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$NAME #name2
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EASY-OR-LIGHT1^
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CLOSE-BY1A [MG]
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DEAF1A* gehör{los}
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SCHOOL1C schule
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I2*
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$GEST-OFF1^
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I think it would be better if the two of us tried to get back to the actual topic of discussion. I1
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OPINION1B meine
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BETTER1 besser
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BOTH2A* wir beide
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TO-TRY1 versuchen
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DISCUSSION1A* disku{tieren}
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WHAT1B was
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So, in Hamburg we have the fish market, the harbour, the TV tower, and also/
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$LIST1:1of1d
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FISH1* fischmarkt
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MARKET4*
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$LIST1:2of2d
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HARBOUR2* hafen
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$LIST1:3of3d
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TO-SIT-IN-A-CIRCLE1^* fernsehturm
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$LIST1:4of4d
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I didn’t know that there is a slaughterhouse close to the TV tower.
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$INDEX1
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TELEVISION1B* fernsehturm
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$INDEX1
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CLOSE-BY1A* [MG]
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DOWN1
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SLAUGHTER1 schlachter
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DONT-KNOW2* [MG]
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I1
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$LIST1:3of3d
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Did you know? It’s underneath the tower, close by.
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TO-KNOW-STH2B wusstest
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YOU1* du
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DOWN1^
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The TV tower is going to be closed off.
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TO-SIT-IN-A-CIRCLE1^ fernsehturm
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TO-BAR3* [MG]
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DOWN1^*
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The TV tower will be closed off?
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ROUND13B^
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TO-BAR3* [MG]
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Yes, you won’t be able to get up or down the tower anymore and experience the view from up there.
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ELEVATOR1^*
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$GEST-DECLINE1^*
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TO-BAR3* [MG]
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ELEVATOR1^* fernsehturm
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NOT-ANYMORE1A nicht mehr
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I didn’t know that. $GEST-NM^
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There’s this one famous street near the Reeperbahn that’s closed off. REEPERBAHN1 reeperbahn
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WELL-KNOWN1A bekannt
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CLOSE-BY1^
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If you’d enter despite the barricade, they’d throw you out or throw water at you.
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$PROD*
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ON-PERSON1 auf
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MOVEMENT-OBJECT2^ [MG]
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WATER1 wasser
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$PROD*
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That’s how it is, sure.
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NOW1 jetzt
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$GEST-OFF1^ [MG]
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NOW1 jetzt
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$GEST-OFF1^* [MG]
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You can’t go in there.
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YOU1 du
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TO-VISIT-OR-TO-ATTEND1B* [MG]
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CAN1* kann nicht
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INTO2*
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$GEST-OFF1^*
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It’s expensive.
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EXPENSIVE1 [MG]
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$GEST-TO-PONDER1^ [MG]
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How do people say, the Herbertstraße has the most expensive brothels of Hamburg. Did you know that?
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LIKE-HOW1A wie
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TO-SAY1 sagt man
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LOOSE1^ herbertstraße
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WAY3*
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EXPENSIVE1 teuerste
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BROTHEL1 puff
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AREA1A^ von hamburg
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TO-KNOW-STH2B* nicht gewusst
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YOU1
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Everything used to be very cheap there, but over time it changed and became much more expensive.
00:02:06:26
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PAST-OR-BACK-THEN1* früher
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CHEAP6 billig
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TO-MODIFY1B [MG]
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EXPENSIVE1 teuers{te}
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The Reeperbahn has become more professional, now a man has to pay at least 200 euros to get a woman; it is something for wealthy men nowadays.
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BEHIND1^* reeper{bahn}
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PROFESSIONAL1A* profi
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$PROD*
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MUST1* muss
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TO-COST2B* kostet
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OFF2 ab
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$NUM-HUNDREDS1:2 zweihundert
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MAN1* mann
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CAN1 kann
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RICH3 [MG]
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OFF2 ab
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$NUM-HUNDREDS1:2 zweihundert
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TO-PAY1 eu{ro}
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That’s quite expensive, but the Reeperbahn is well known for having noble brothels.
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EXPENSIVE1 teuers{te}
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WELL-KNOWN1A bekannt
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GOOD1^* wie [MG]
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LUXURIOUS1* edelpuff
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BROTHEL1*
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WAY-COURSE1A^
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Steinstrasse is much cheaper than Reeperbahn.
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CHEAP5 billig
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STONE10A steinstraße
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STREET4*
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CHEAP5 billig
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REEPERBAHN1 reeper{bahn}
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When was the last time you visited the Reeperbahn?
00:02:21:20
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WHEN1 wann
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LASTLY1A zuletzt
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REEPERBAHN1 reeperbahn
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I1*
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QUESTION1 frage
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YOU1
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I’d better ask you instead, you know the area much better.
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QUESTION1*
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CONVERSELY1 umge{kehrt}
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I1
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QUESTION1 frage
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BETTER1* besser
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YOU1
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TO-KNOW-STH-OR-SB1B kenn
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BETTER1* besser
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OUTDOORS2^ daraus
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No, I mean when did you go to see the Reeperbahn the last time?
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I1
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SELF1A* du selbst
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WHEN1 wann
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LASTLY1A letzte mal
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00:02:28:36
REEPERBAHN1 reeperbahn
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YOU1
00:02:28:46
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00:02:29:23
00:02:30:34
Well, maybe two years ago? $GEST-NM-SHAKE-HEAD1^ [MG]
00:02:30:34
00:02:30:43
$NUM-YEAR-BEFORE-NOW1:2* zwei jahre
00:02:30:43
00:02:31:42
00:02:31:42
00:02:32:14
00:02:32:14
00:02:32:25
What’s really interesting is going on a guided tour there.
00:02:32:25
00:02:32:43
TO-VISIT1
00:02:32:43
00:02:33:03
WITH1A* mit
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00:02:33:07
00:02:33:07
00:02:33:28
TO-LEAD1A* führen
00:02:33:28
00:02:33:33
No, I’ve never done that. $GEST-NM-SHAKE-HEAD1^ [MG]
00:02:33:33
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00:02:33:41
00:02:34:04
$GEST-NM-SHAKE-HEAD1^ [MG]
00:02:34:04
00:02:34:17
INTEREST1A interessant
00:02:34:17
00:02:34:20
00:02:34:20
00:02:34:24
$GEST-OFF1^
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00:02:34:36
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00:02:35:37
00:02:36:08
But there are a couple of sights in Hamburg that people recommend: BUT1* aber moment
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00:02:36:14
$INDEX1
00:02:36:14
00:02:36:36
00:02:36:36
00:02:36:46
TO-RECOMMEND1A empfohl
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00:02:37:13
$NUM-ONE-TO-TEN1A:2d
00:02:37:13
00:02:37:22
HAMBURG1* hamburg
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TO-VISIT1
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$GEST-OFF1^*$NUM-ONE-TO-TEN1A:3d [MG]
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$GEST-OFF1^*
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So, when people from outside the city come to visit, you take them on a tour through Hafencity.
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00:02:40:08
$GEST-ATTENTION1^
00:02:40:08
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NOW1* jetzt
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00:02:41:08
TO-SPREAD2^* [MG]
00:02:41:08
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00:02:41:42
TO-DRIVE3* hamburg
00:02:41:42
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00:02:42:14
HARBOUR1* hafencity
00:02:42:14
00:02:42:30
DOWNTOWN1
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00:02:43:33
TO-LEAD1A*
00:02:43:33
00:02:43:35
00:02:43:35
00:02:43:41
They are currently constructing Hafencity, and it’s very modern.
00:02:43:41
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MOMENT1* moment
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00:02:44:23
TO-SPREAD2 [MG]
00:02:44:23
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HARBOUR1* hafencity
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DOWNTOWN1
00:02:45:08
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MODERN1A modern
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$INDEX2
00:02:46:05
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What else do we have?
00:02:46:14
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$LIST1:2of2d
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$GEST-OFF1^*
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$LIST1:2of2d
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$GEST-OFF1^*
00:02:47:15
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$LIST1:2of2d
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$GEST-OFF1^*
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There’s the Hafencity and the old buildings in Eppendorf. The old buildings in Eppendorf.
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HARBOUR1 hafencity
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DOWNTOWN1
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AREA1D*
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EPPENDORF1 eppendorf
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HEADING1^
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OLD8B altbau
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TO-BUILD1*
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PERSON1^* wohn{ungen}
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OLD8B* altbau
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TO-BUILD1*
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EPPENDORF1 eppendorf
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00:02:53:03
They have these old art nouveau fronts That’s really interesting.
00:02:53:03
00:02:53:15
OLD8B alt
00:02:53:15
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STYLE2* s{til}
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YOUNG1* jugendstil
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STYLE2
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$PROD*
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INTEREST1B interessant
00:02:56:10
00:02:56:16
You know that better than I do.
00:02:56:16
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TO-KNOW-STH2B weiß
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$GEST-OFF1^*
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BETTER1* besser
00:02:56:43
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I can’t say much about that.
00:02:56:49
00:02:57:06
I2 ich
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$ORAL^ kann
00:02:57:14
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00:02:57:22
MUCH1A viel
00:02:57:22
00:02:57:24
That’s interesting.
00:02:57:24
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INTEREST1B interessant TO-SAY1* sagen
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$GEST-OFF1^*
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Then there’s Boberg with a lot of nature.
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$INDEX1 boberg
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AREA1A*
00:02:59:37
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$ORAL^ mehr
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NATURE8 natur
00:03:00:21
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00:03:00:32
AREA2B*
00:03:00:32
00:03:00:39
00:03:00:39
00:03:00:45
Hamburg doesn’t have many green spaces.
00:03:00:45
00:03:01:03
HAMBURG2* hamburg
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00:03:01:12
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NONE2* kein
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NATURE8 natur
00:03:01:36
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00:03:01:40
00:03:02:16
AREA2B* I only go to Boberg when I want to take my visitors there.
00:03:02:16
00:03:02:22
$GEST-NM-SHAKE-HEAD1^ nein
00:03:02:22
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$INDEX4
00:03:02:31
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00:03:02:40
00:03:02:45
MEANING1 bedeutet
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$GEST-OFF1^*
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00:03:03:04
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00:03:03:18
I1* ich
00:03:03:18
00:03:03:25
00:03:03:25
00:03:03:33
TO-LEAD1B* führ
00:03:03:33
00:03:03:37
00:03:03:37
00:03:03:43
$ALPHA1:B* boberg
00:03:03:43
00:03:04:20
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00:03:04:28
ONLY2A nur
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00:03:04:35
IF-OR-WHEN1A wenn
00:03:04:35
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TO-VISIT-OR-TO-ATTEND1B* besuch
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DONE1A* [MG]
00:03:05:20
00:03:06:11
00:03:06:11
00:03:06:18
00:03:06:18
00:03:06:23
If people like to, they can go to the city, but it’s not for me.
00:03:06:23
00:03:06:31
WHO3 wer
00:03:06:31
00:03:06:37
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THERE1*
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CITY2* stadt
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NO1B [MG]
00:03:07:42
00:03:07:44
The fish market is famous for its barkers, like those who throw bananas or eels.
00:03:07:44
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BUT1* aber
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FISH1* fischmarkt
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MARKET4*
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FAMOUS1A* berühmt
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SCREAM3* schreihals
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NECK2A*
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BANANA1A* banane
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00:03:13:00
TO-THROW6A* werf
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AND2B* und
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00:03:13:30
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ROUND-LONG1* aal
00:03:13:44
00:03:14:01
00:03:14:01
00:03:14:06
That’s well-known in Hamburg.
00:03:14:06
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WELL-KNOWN1A* bekannt
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$INDEX2 hamburg
00:03:14:25
00:03:14:46
00:03:14:46
00:03:15:07
It started in the 1970s already.
00:03:15:07
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NOW1 jetzt
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00:03:15:18
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00:03:15:28
$INDEX1*
00:03:15:28
00:03:15:31
00:03:15:31
00:03:15:34
PARTICULARLY1A beson{ders}
00:03:15:34
00:03:15:46
00:03:15:46
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$NUM-TEEN1:9* neunzehnhundertsiebzig
00:03:16:14
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00:03:16:21
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$NUM-TENS2A:7d
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00:03:16:45
I2
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MASS-OF-PEOPLE-ACTIVE1^
00:03:17:09
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$INDEX1*
00:03:17:13
00:03:17:16
Nowadays, when I have guests, when friends visit me, the first thing we do is a go on a tour through Speicherstadt [lit. City of Warehouses, part of town].
00:03:17:16
00:03:17:20
NOW1* jetzt
00:03:17:20
00:03:17:25
00:03:17:25
00:03:17:34
MORE1* mehr
00:03:17:34
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00:03:17:42
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IF-OR-WHEN1A wenn
00:03:18:00
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00:03:18:14
SOON6
00:03:18:14
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00:03:18:35
TO-OBTAIN1* bekommt
00:03:18:35
00:03:18:45
00:03:18:45
00:03:19:03
TO-VISIT-OR-TO-ATTEND2 bes{uch}
00:03:19:03
00:03:19:10
00:03:19:10
00:03:19:15
FRIEND1A* freund
00:03:19:15
00:03:19:25
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00:03:19:37
TO-COME1*
00:03:19:37
00:03:19:38
I1*
00:03:19:38
00:03:19:44
00:03:19:44
00:03:20:03
FIRST-OF-ALL1C erstes mal
00:03:20:03
00:03:20:14
00:03:20:14
00:03:20:20
TO-LEAD1A
00:03:20:20
00:03:20:30
00:03:20:30
00:03:20:47
TO-COLLECT1^ speicherstadt
00:03:20:47
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CITY2*
00:03:21:16
00:03:21:25
00:03:21:25
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$INDEX1
00:03:21:27
00:03:21:40
It’s all duty-free. The load could easily be transferred to the warehouses with a peg on a pull rope.
00:03:21:40
00:03:21:46
MOMENT1* im moment
00:03:21:46
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CUSTOMS1A zollfrei
00:03:22:15
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00:03:22:40
FREE1
00:03:22:40
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TO-COLLECT1^ speicherstadt
00:03:23:16
00:03:23:28
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CITY2*
00:03:23:34
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$PROD*
00:03:24:31
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00:03:24:41
00:03:24:43
I know a few restaurants there that have really good cooks.
00:03:24:43
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$INDEX1*
00:03:25:04
00:03:25:10
RATHER1 lieber
00:03:25:10
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$INDEX1
00:03:25:21
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$INDEX1*
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00:03:26:14
00:03:26:14
00:03:26:42
RESTAURANT1 restaurant
00:03:26:42
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GOOD1 gut
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TO-COOK3A koch
00:03:27:46
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$INDEX1
00:03:28:06
00:03:28:09
00:03:28:09
00:03:28:18
One of these chefs is top-class; he has already received 19 points!
00:03:28:18
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$NUM-ONE-TO-TEN1A:1d*
00:03:28:28
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GOOD1*
00:03:28:43
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TO-COOK3A*
00:03:29:30
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00:03:30:07
SPIKY1A spitze
00:03:30:07
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$NUM-TEEN1:9 neunzehn
00:03:30:44
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POINT1C punkt
00:03:31:05
00:03:31:11
00:03:31:11
00:03:31:22
That’s the record in Hamburg. It’s quite extraordinary.
00:03:31:22
00:03:31:29
SPIKY1A spitze
00:03:31:29
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AREA1A* von hamburg
00:03:32:16
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GOOD1*
00:03:32:31
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PARTICULARLY1A besonders
00:03:32:42
00:03:33:09
00:03:33:09
00:03:33:15
In the evening, you could go to Hafencity right after visiting Speicherstadt.
00:03:33:15
00:03:33:21
TO-COME1*
00:03:33:21
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00:03:33:46
EVENING2 abend
00:03:33:46
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00:03:34:05
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LIGHT1* licht
00:03:34:09
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00:03:34:26
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TO-COLLECT1^ speicherstadt
00:03:34:35
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CITY2
00:03:34:45
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LINK2 anschließend
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HARBOUR1* hafencity
00:03:35:46
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00:03:36:03
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DOWNTOWN1
00:03:36:10
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SURROUNDING1A
00:03:36:46
00:03:37:01
The buildings there are unbelievable.
00:03:37:01
00:03:37:26
INCREDIBLE2* unglaublich
00:03:37:26
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TO-BUILD1* bauen
00:03:38:08
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$PROD*
00:03:38:38
00:03:38:43
00:03:38:43
00:03:39:00
It showcases different styles of building architecture. That really is interesting.
00:03:39:00
00:03:39:12
TO-BUILD1* bau
00:03:39:12
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00:03:39:29
ARCHITECT2* architekt
00:03:39:29
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INTEREST1B* interessant
00:03:40:05
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TO-VISIT1
00:03:40:31
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00:03:40:41
00:03:40:46
You just walk down this new lane by foot.
00:03:40:46
00:03:41:11
$ORAL^ dann
00:03:41:11
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00:03:41:44
BY-FOOT1D zu fuß
00:03:41:44
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STRAIGHT-AHEAD1*
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UNION1A^ neu
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00:03:43:00
00:03:43:16
WAY3* weg
00:03:43:16
00:03:43:23
00:03:43:23
00:03:43:29
Always going straight ahead, until you reach the river Elbe.
00:03:43:29
00:03:44:03
STRAIGHT-AHEAD1*
00:03:44:03
00:03:44:18
00:03:44:18
00:03:44:40
UNTIL1* bis
00:03:44:40
00:03:45:06
00:03:45:06
00:03:45:13
$GEST-OFF1^*
00:03:45:13
00:03:45:29
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00:03:45:42
ELBE-RIVER1 elbe
00:03:45:42
00:03:46:07
00:03:46:07
00:03:46:12
In earlier times some stretches of the walk led you away from the river so that you would have had some extra walk to get back there.
00:03:46:12
00:03:46:17
PAST-OR-BACK-THEN1 früher
00:03:46:17
00:03:46:26
00:03:46:26
00:03:46:28
EXTRA1* extra
00:03:46:28
00:03:46:34
00:03:46:34
00:03:47:34
$PROD*
00:03:47:34
00:03:47:40
00:03:47:40
00:03:47:47
BACK1A* zurück
00:03:47:47
00:03:48:02
00:03:48:02
00:03:48:43
$PROD*
00:03:48:43
00:03:49:08
00:03:49:08
00:03:49:10
The walk starts at Speicherstadt. NOW1 jetzt
00:03:49:10
00:03:49:22
00:03:49:22
00:03:49:38
WAY2B weg
00:03:49:38
00:03:49:46
00:03:49:46
00:03:50:03
TO-GO1A*
00:03:50:03
00:03:50:10
00:03:50:10
00:03:50:20
FROM-OR-BY-OR-OF2* von
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00:03:50:27
00:03:50:27
00:03:50:37
$GEST-OFF1^
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00:03:51:03
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TO-COLLECT1^ speicherstadt
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00:03:51:19
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00:03:51:24
CITY2
00:03:51:24
00:03:51:28
00:03:51:28
00:03:51:43
It’s always the same lane.
00:03:51:43
00:03:52:09
WAY2B weg
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00:03:52:21
00:03:52:21
00:03:52:45
SAME4 {das}selbe {das}selbe
00:03:52:45
00:03:53:09
00:03:53:09
00:03:53:17
STRAIGHT-AHEAD1
00:03:53:17
00:03:53:20
00:03:53:20
00:03:53:37
A sign will tell you how many kilometres you have to walk to get to the Treppenviertel [staircase quarter, part of town] in Blankenese.
00:03:53:37
00:03:54:03
SIGN1*
00:03:54:03
00:03:54:07
00:03:54:07
00:03:54:12
HOW-MUCH5* wie viel
00:03:54:12
00:03:54:15
00:03:54:15
00:03:54:23
KILOMETRE1* kilometer
00:03:54:23
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00:03:54:47
STRAIGHT-AHEAD1
00:03:54:47
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00:03:55:04
00:03:55:31
UNTIL1* bis
00:03:55:31
00:03:55:48
00:03:55:48
00:03:56:11
BLANKENESE1 blankenese
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00:03:56:26
00:03:56:26
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$PROD*
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00:03:57:43
00:03:57:43
00:03:58:00
The area is also famous for that.
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WELL-KNOWN1A bekannt
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$INDEX1
00:03:58:22
00:03:58:26
00:03:58:26
00:03:58:30
$GEST-OFF1^
00:03:58:30
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That’s what my tours look like.
00:03:59:05
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LIKE-THIS1B* so
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00:03:59:45
TO-LEAD1A* führung
00:03:59:45
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$GEST-OFF1^
00:04:00:01
00:04:00:14
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I don’t know any of that. $GEST-NM-SHAKE-HEAD1^ hab kein ahnung
00:04:01:01
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Next time, we will do a tour!
00:04:01:08
00:04:01:14
$ORAL^ muss
00:04:01:14
00:04:01:19
00:04:01:19
00:04:01:22
NEXT1 nächstes mal auf dich fü{hren}
00:04:01:22
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ON-PERSON1
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TO-LEAD1A*
00:04:02:14
00:04:02:18
00:04:02:18
00:04:02:22
I mean, Hamburg is your hometown.
00:04:02:22
00:04:02:24
YOUR1* dein
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00:04:02:46
HOMELAND2 heimat
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00:04:03:11
00:04:03:11
00:04:03:17
HAMBURG1* hamburg
00:04:03:17
00:04:03:44
00:04:03:44
00:04:04:04
I’ll take you on a tour.
00:04:04:04
00:04:04:11
NEXT1* nächstes mal führen
00:04:04:11
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00:04:04:18
00:04:04:27
TO-LEAD1A*
00:04:04:27
00:04:04:35
00:04:04:35
00:04:04:41
ON-PERSON1
00:04:04:41
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00:04:05:30
Well, I don’t know much about Hamburg.
00:04:05:30
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$GEST-NM-SHAKE-HEAD1^
00:04:06:03
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00:04:06:25
00:04:06:33
TO-GO-THERE1 hamburg
00:04:06:33
00:04:06:36
00:04:06:36
00:04:06:42
I2
00:04:06:42
00:04:06:46
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$GEST-OFF1^*
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00:04:07:22
00:04:09:07
Asks Informant A to put her cup down.
00:04:09:07
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00:04:12:15
It’s quite interesting if you’re taking a look at Germany.
00:04:12:15
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INTEREST1BAREA1A intere{ssant}
00:04:12:27
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HAMBURG1* ha{mburg}
00:04:12:41
00:04:12:49
00:04:12:49
00:04:13:03
TO-SAY1 sag
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00:04:13:29
AREA1A^* deutsch
00:04:13:29
00:04:13:33
00:04:13:33
00:04:13:36
For me, Hamburg is the best city to live in in all of Germany.
00:04:13:36
00:04:13:42
I1 für mich
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00:04:14:04
00:04:14:04
00:04:14:12
HAMBURG1* hamburg
00:04:14:12
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BEAUTIFUL5 schönste
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CITY2 stadt
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00:04:15:37
I know that Hamburg is the city with the most green spaces in Germany.
00:04:15:37
00:04:15:39
TO-LIVE1C leben
00:04:15:39
00:04:15:44
BUT1* aber
00:04:15:44
00:04:15:49
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I1 weiß
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$GEST-OFF1^
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00:04:16:18
00:04:16:28
TO-KNOW-STH2A
00:04:16:28
00:04:16:34
00:04:16:34
00:04:16:40
HAMBURG1* hamburg
00:04:16:40
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AREA1A^*
00:04:17:03
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MOST1B meistens
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GREEN1A grün
00:04:18:20
00:04:18:28
$ORAL^ von
00:04:18:28
00:04:19:10
AREA1A^* deutschland
00:04:19:10
00:04:19:12
Yes, it has a lot of that.
00:04:19:12
00:04:19:17
00:04:19:17
00:04:19:24
MOST1B meistens
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MUCH1A viel
00:04:19:31
00:04:19:34
$INDEX1
00:04:19:34
00:04:19:36
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00:04:20:06
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00:04:20:09
00:04:20:14
MUCH1A viel
00:04:20:14
00:04:20:27
$GEST-NM-NOD-HEAD1^
00:04:20:27
00:04:20:43
Having the most green spaces doesn’t mean that everything is green here.
00:04:20:43
00:04:21:04
MOST1B meisten
00:04:21:04
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00:04:21:26
$INDEX-ORAL1
00:04:21:26
00:04:21:33
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00:04:21:37
MEANING1 bedeutet
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00:04:22:26
FULL2A voll
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00:04:22:35
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00:04:23:01
We just have the most green spaces here. Hamburg is at the top in that regard.
00:04:23:01
00:04:23:10
MOST2 meist
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00:04:23:32
GREEN1A grün
00:04:23:32
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00:04:24:11
AREA1A^*
00:04:24:11
00:04:24:19
00:04:24:19
00:04:24:33
HERE1* hamburg
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00:04:24:46
00:04:24:46
00:04:25:08
SPIKY1A spitze
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00:04:25:32
00:04:25:32
00:04:26:26
00:04:26:26
00:04:26:30
That’s true, isn’t it?
00:04:26:30
00:04:26:37
RIGHT-OR-AGREED1A stimmt
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00:04:26:39
Please explain in which areas it is as you said, please describe in more detail what you mean.
00:04:26:39
00:04:26:44
$GEST-OFF1^*
00:04:26:44
00:04:27:01
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00:04:29:38
00:04:29:38
00:04:30:04
It means to say that for example we have the most streets lined with trees.
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OPINION1B meinst
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MOST1B* meistens
00:04:30:41
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00:04:31:07
MEANING1* bedeutet
00:04:31:07
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00:04:31:33
TREE2B* bäume
00:04:31:33
00:04:32:01
00:04:32:01
00:04:32:15
$PROD* straße
00:04:32:15
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00:04:32:28
00:04:32:36
You mean around the Alster, in Poppenbüttel.
00:04:32:36
00:04:32:45
QUEUE-PERSONS1B^* bäume
00:04:32:45
00:04:33:00
$ALPHA1:A alster
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CIRCLE2
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OPINION1B meinst du No, in Hamburg in general!
00:04:33:31
00:04:33:40
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$ALPHA1:A alster
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CIRCLE2*
00:04:33:49
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GENERALLY1C allgemein
00:04:34:05
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PAPER1^*
00:04:34:28
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$ALPHA1:P poppenbüttel
00:04:34:40
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$INDEX1
00:04:34:48
00:04:35:00
00:04:35:00
00:04:35:08
CIRCLE2*
00:04:35:08
00:04:35:15
AREA1A^* hamburg
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00:04:35:29
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00:04:35:35
00:04:35:35
00:04:35:37
When you go to North Rhine-Westphalia you only see the tram, but what about trees?
00:04:35:37
00:04:35:39
YOU1
00:04:35:39
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AREA1B^* nordrhein-westfalen
00:04:36:07
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MOVEMENT-OBJECT2^
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ONLY2B nur
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STREETCAR1* straßenbahn
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$PROD*
00:04:37:29
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00:04:38:13
TO-PUT-LOCATION1^* aber baum
00:04:38:13
00:04:38:18
Do you know what it’s like in Munich?
00:04:38:18
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00:04:38:30
00:04:38:31
MUNICH1A* münchen
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WHERE2 wo
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I1
00:04:38:49
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QUESTION1* frag
00:04:39:11
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MUNICH1A* münchen
00:04:39:31
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$GEST-OFF1^*
00:04:39:36
00:04:40:05
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00:04:40:38
00:04:41:01
You can fly to the different towns, look at everything and answer me then.
00:04:41:01
00:04:41:03
YOU1 du
00:04:41:03
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00:04:41:05
00:04:41:23
$PROD*
00:04:41:23
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TO-VISIT1*
00:04:41:47
00:04:42:03
00:04:42:03
00:04:42:22
$PROD*
00:04:42:22
00:04:42:27
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TO-VISIT1*
00:04:42:40
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00:04:43:02
00:04:43:03
Do you know/
00:04:43:03
00:04:43:15
ANSWER1* antwort
00:04:43:15
00:04:43:20
TO-KNOW-STH2B* weißt du
00:04:43:20
00:04:43:30
00:04:43:30
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TO-GIVE3A^*
00:04:43:42
00:04:44:14
00:04:44:14
00:04:44:33
So, Hamburg is the greenest, because there are so many trees lining the streets.
00:04:44:33
00:04:44:40
HAMBURG1* hamburg
00:04:44:40
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CIRCLE2*
00:04:45:04
00:04:45:09
00:04:45:09
00:04:45:17
REASON4A grund
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00:04:45:32
00:04:45:32
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MORE1* mehr
00:04:45:40
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00:04:46:04
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GREEN1A* grün
00:04:46:08
00:04:46:17
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AVENUE1*
00:04:46:29
00:04:47:10
00:04:47:10
00:04:47:26
That’s in Poppenbüttel and around the Alster.
00:04:47:26
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$ALPHA1:P* poppenbüttel
00:04:47:33
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AREA1A^
00:04:48:09
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00:04:48:21
00:04:48:37
$LIST1:2of2d
00:04:48:37
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00:04:48:42
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CIRCLE2*
00:04:49:10
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ALSTER1* alster
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00:04:49:24
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$ALPHA1:A
00:04:49:28
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ALSTER1*
00:04:49:37
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CIRCLE2
00:04:50:17
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00:04:50:22
00:04:50:27
In the West/
00:04:50:27
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$LIST1:3of3d
00:04:50:34
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SHORT4
00:04:50:49
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NEXT-TO1A*
00:04:51:35
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$PROD*
00:04:52:04
00:04:52:16
Yes, there are trees everywhere.
00:04:52:16
00:04:52:27
There isn’t that much in the South, but the East is quite green.
00:04:52:27
00:04:52:33
SOUTH1B* süd
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AREA1D^*
00:04:52:36
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$PROD*
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VERY6 [MG]
00:04:53:17
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00:04:53:28
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Look!
00:04:53:29
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$GEST-ATTENTION1^
00:04:53:39
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NEXT-TO1A
00:04:54:05
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00:04:54:16
00:04:54:17
In North Rhine-Westphalia, the cities are all grey.
00:04:54:17
00:04:54:23
MUCH1A viel YOU1 du
00:04:54:23
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AREA1B nordrhein-westfal{en}
00:04:54:37
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GREEN1A* grün
00:04:54:46
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THERE1*
00:04:55:06
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VERY7 [MG]
00:04:55:20
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GREY1 grau
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CITY2 stadt
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$INDEX1
00:04:56:14
00:04:56:33
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00:04:57:03
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Yes, but I’m not interested in comparing it to North Rhine-Westphalia.
00:04:57:14
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I1
00:04:57:18
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$INDEX1 nord{rhein}-westfalen vergleich
00:04:58:16
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COMPARISON1C
00:04:59:00
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I1*
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00:04:59:23
INTEREST1A* [MG]
00:04:59:23
00:04:59:31
00:04:59:31
00:04:59:40
NOT5* [MG]
00:04:59:40
00:04:59:47
00:04:59:47
00:04:59:49
I wanted to compare Munich and Hamburg to one another.
00:04:59:49
00:05:00:03
I1
00:05:00:03
00:05:00:12
$ORAL^ aber
00:05:00:12
00:05:00:13
00:05:00:13
00:05:00:25
COMPARISON1C vergleich
00:05:00:25
00:05:00:29
00:05:00:29
00:05:00:33
WITH1B mit
00:05:00:33
00:05:00:41
00:05:00:41
00:05:00:48
MUNICH1A* münchen
00:05:00:48
00:05:01:04
00:05:01:04
00:05:02:07
$INDEX1*
00:05:02:07
00:05:02:12
00:05:02:12
00:05:02:22
Munich has a lot of green spaces; that’s what it’s like in Bavaria.
00:05:02:22
00:05:02:25
MUNICH1A* münchen
00:05:02:25
00:05:02:33
00:05:02:33
00:05:02:39
MUCH1A viel
00:05:02:39
00:05:02:42
00:05:02:42
00:05:03:00
GREEN1A grün
00:05:03:00
00:05:03:06
00:05:03:06
00:05:03:30
AREA1A*
00:05:03:30
00:05:03:39
BAVARIA3* bayern
00:05:03:39
00:05:03:46
00:05:03:46
00:05:04:21
AREA1A
00:05:04:21
00:05:04:27
But Hamburg is more diverse. $INDEX1 aber
00:05:04:27
00:05:04:36
00:05:04:36
00:05:04:44
HAMBURG1* hamburg
00:05:04:44
00:05:05:03
00:05:05:03
00:05:05:09
MORE1* mehr
00:05:05:09
00:05:05:26
00:05:05:26
00:05:05:35
ALTERNATION1* abwechs{lungs}reich
00:05:05:35
00:05:06:03
00:05:06:03
00:05:06:13
RICH3
00:05:06:13
00:05:06:22
00:05:06:22
00:05:06:48
AREA1F
00:05:06:48
00:05:07:06
The city is beautiful and partly built on water, especially in the centre. It’s quite special, having all that water in the centre. BEAUTIFUL1A*AREA1A schön
00:05:07:06
00:05:07:12
00:05:07:12
00:05:07:23
CITY2* stadt
00:05:07:23
00:05:07:30
00:05:07:30
00:05:07:40
AREA1F
00:05:07:40
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00:05:08:08
00:05:08:17
WATER1 wasser
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00:05:08:31
00:05:08:41
ROUND3A^* hamburg
00:05:08:41
00:05:08:45
00:05:08:45
00:05:08:46
$NUM-ONE-TO-TEN1A:1d*
00:05:08:46
00:05:09:04
00:05:09:04
00:05:09:15
MIDDLE2B* mitte
00:05:09:15
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00:05:09:21
00:05:09:37
ROUND3A^*
00:05:09:37
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WEIRD-STRANGE1 [MG]
00:05:10:13
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WATER1 wasser
00:05:10:28
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ROUND3A^
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WEIRD-STRANGE1 [MG]
00:05:11:27
00:05:11:34
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That’s one thing that is special about Hamburg.
00:05:11:42
00:05:11:48
HAMBURG1* hamburg
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TO-BELONG1^
00:05:12:02
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PARTICULARLY1A besonder
00:05:12:14
00:05:12:18
$INDEX1
00:05:12:18
00:05:12:25
$INDEX1
00:05:12:25
00:05:12:30
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00:05:12:37
Munich also has a river running through the city, but that’s different.
00:05:12:37
00:05:12:40
MUNICH1A* münchen
00:05:12:40
00:05:13:14
00:05:13:14
00:05:13:40
RIVER1* fluss
00:05:13:40
00:05:13:46
00:05:13:46
00:05:14:04
$GEST-DECLINE1^ was and{ers}
00:05:14:04
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DIFFERENT1*
00:05:14:19
00:05:14:30
00:05:14:30
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I just consider Hamburg to be more diverse.
00:05:14:40
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ROUND3A^
00:05:14:48
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00:05:15:23
I1* für mich
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00:05:16:31
HAMBURG1* hamburg
00:05:16:31
00:05:16:33
00:05:16:33
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$NUM-ONE-TO-TEN1A:1d
00:05:16:35
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00:05:16:48
BEST1* b{este}
00:05:16:48
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ALTERNATION1 abwechs{lungs}reich
00:05:17:25
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RICH3
00:05:18:02
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00:05:18:22
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There’s the Reeperbahn, the nightlife, the green areas, the Alster, what else do we have?
00:05:18:40
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REEPERBAHN1 reeperbahn
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EVENING2 abend
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GREEN1A grün
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EVENING2*
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CIRCLE2 alster
00:05:21:34
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$GEST-OFF1^
00:05:22:00
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00:05:23:27
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What could I say about events?
00:05:23:46
00:05:24:19
TO-CELEBRATE1A^ vergnügen
00:05:24:19
00:05:24:36
00:05:24:36
00:05:24:45
TO-SAY1 kann man sa{gen}
00:05:24:45
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00:05:25:29
So/ GOOD1^*
00:05:25:29
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$INDEX1
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The apartments also have different styles; new buildings and older buildings are mixed.
00:05:26:12
00:05:26:24
APARTMENT2B wohnen
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DISTINCT1 [MG]
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STYLE2 stil
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00:05:27:45
NEW1B neubau
00:05:27:45
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00:05:28:08
00:05:28:29
TO-BUILD1*
00:05:28:29
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00:05:28:42
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OLD8B alt
00:05:29:00
00:05:29:16
TO-SWARM1^
00:05:29:16
00:05:29:28
00:05:29:28
00:05:29:29
I feel a little bit like what I’m saying about Hamburg is somehow boring.
00:05:29:29
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I2
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I1*
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00:05:30:22
00:05:30:41
TO-SIGN1A [MG]
00:05:30:41
00:05:31:08
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00:05:31:23
$ORAL^ für
00:05:31:23
00:05:31:26
HEADING1^*
00:05:31:26
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00:05:31:34
00:05:31:40
HAMBURG1* hamburg
00:05:31:40
00:05:31:49
00:05:31:49
00:05:32:04
BIT1B* bisschen
00:05:32:04
00:05:32:11
00:05:32:11
00:05:32:22
$GEST-DECLINE1^ [MG]
00:05:32:22
00:05:32:31
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I2
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00:05:32:41
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FEELING3* [MG]
00:05:32:43
00:05:33:04
00:05:33:04
00:05:33:09
$GEST-DECLINE1^ [MG]
00:05:33:09
00:05:33:17
00:05:33:17
00:05:33:26
BOREDOM1 langweilig
00:05:33:26
00:05:33:33
00:05:33:33
00:05:33:35
I2*
00:05:33:35
00:05:33:40
00:05:33:40
00:05:33:44
$GEST-OFF1^
00:05:33:44
00:05:34:12
00:05:34:12
00:05:37:07
00:05:37:07
00:05:37:18
The cameras are still running, right?
00:05:37:18
00:05:37:27
MOVIE3* film
00:05:37:27
00:05:37:30
00:05:37:30
00:05:37:45
TO-RUN-MACHINE2 läuft
00:05:37:45
00:05:38:02
00:05:38:02
00:05:38:07
STILL4A* [MG]
00:05:38:07
00:05:38:12
Sure, they continue filming.
00:05:38:12
00:05:38:22
00:05:38:22
00:05:39:22
00:05:39:22
00:05:39:35
So/
00:05:39:35
00:05:39:38
$INDEX1
00:05:39:38
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00:05:40:25
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$INDEX1
00:05:40:41
00:05:44:35
00:05:44:35
00:05:44:47
For example, I think that Hamburg has a lot of very different churches all around the city/
00:05:44:47
00:05:45:19
EXAMPLE1 beispiel
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00:05:46:12
00:05:46:12
00:05:46:18
HAMBURG1* ha{mburg}
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00:05:46:21
00:05:46:24
I1 ich
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00:05:46:34
00:05:46:40
TO-BELIEVE2A glaube
00:05:46:40
00:05:46:45
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HAMBURG1* hamburg
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00:05:47:11
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MUCH1A viel
00:05:47:26
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CHURCH2A* kirche
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VERY6 [MG]
00:05:48:27
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$INDEX1*
00:05:49:05
00:05:49:38
Yes, of very different faiths. DISTINCT1 verschieden
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00:05:49:47
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TO-BELIEVE4 glauben
00:05:49:48
00:05:50:18
DISTINCT1 verschieden
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DISTINCT1 ve{rschieden} No, I didn’t mean different faiths.
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NO1A nein
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TO-PRAY1A^*
00:05:51:08
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NOT3A nicht
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TO-BELIEVE4 glauben
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NO1B*
00:05:51:37
00:05:51:42
I mean the different churches, like St. Michaelis, St. Nikolai, St. Katharinen and so on.
00:05:51:42
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CHURCH2A kirche
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NAME1A name
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$LIST1:1of1d
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$ALPHA1:S sankt michael{is}
00:05:53:38
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$LIST1:2of2d
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$ALPHA1:S sankt nikolai
00:05:54:30
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CATHEDRAL1^*
00:05:55:13
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$LIST1:3of3d
00:05:55:29
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$ALPHA1:S sankt katharina
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$ALPHA1:K
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$PROD*
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$LIST1:4of4d [MG]
00:05:58:48
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During the night of the churches there were all different kinds of faiths present.
00:05:59:14
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DISTINCT1 [MG]
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00:05:59:28
00:05:59:38
TO-PRAY1A^ glaube
00:05:59:38
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LIKE-HOW1B wie
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00:06:00:07
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NIGHT2 nacht
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00:06:00:31
00:06:00:31
00:06:01:01
CHURCH2B kirche
00:06:01:01
00:06:01:24
00:06:01:24
00:06:01:25
Did you attend the night of the churches?
00:06:01:25
00:06:01:32
NIGHT2 nacht
00:06:01:32
00:06:01:37
Seven/ What? No. $NUM-ONE-TO-TEN1A:7d* sieben
00:06:01:37
00:06:01:42
00:06:01:42
00:06:01:45
$INDEX1 der
00:06:01:45
00:06:02:01
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00:06:02:11
CHURCH2B kirche
00:06:02:11
00:06:02:20
00:06:02:20
00:06:02:27
BEEN1 gewesen
00:06:02:27
00:06:02:32
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00:06:02:48
YOU1
00:06:02:48
00:06:03:12
$ORAL^ was
00:06:03:12
00:06:03:22
00:06:03:22
00:06:03:36
The night of the churches! Different kinds of faith were represented there.
00:06:03:36
00:06:03:40
NIGHT2 nacht
00:06:03:40
00:06:03:49
$GEST-NM-SHAKE-HEAD1^ nein
00:06:03:49
00:06:04:11
00:06:04:11
00:06:04:14
$ALPHA1:D der $GEST-NM-SHAKE-HEAD1^
00:06:04:14
00:06:04:29
00:06:04:29
00:06:04:37
CHURCH2B kirche
00:06:04:37
00:06:04:39
00:06:04:39
00:06:05:06
00:06:05:06
00:06:05:12
TO-DRIVE3
00:06:05:12
00:06:05:28
00:06:05:28
00:06:05:46
DISTINCT1 [MG] verschie{den}
00:06:05:46
00:06:06:04
00:06:06:04
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TO-BELIEVE4 glauben
00:06:06:07
00:06:06:13
00:06:06:13
00:06:06:25
DIRECTION1
00:06:06:25
00:06:06:31
00:06:06:31
00:06:06:38
Muslims, Jews, different faiths, and all were there.
00:06:06:38
00:06:07:11
MUSLIM1* moslem
00:06:07:11
00:06:07:31
00:06:07:31
00:06:07:36
$INDEX1*
00:06:07:36
00:06:08:03
00:06:08:03
00:06:08:18
JEW1 juden
00:06:08:18
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00:06:08:40
00:06:09:15
PRESENT-OR-HERE1* da da
00:06:09:15
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00:06:09:22
00:06:09:34
DISTINCT1 [MG] Yes, right!
00:06:09:34
00:06:09:41
$GEST-ATTENTION1^
00:06:09:41
00:06:09:45
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YES2 ja
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00:06:10:23
00:06:10:23
00:06:10:26
00:06:10:26
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00:06:10:28
00:06:10:33
I saw these churches with all the lights on the front.
00:06:10:33
00:06:10:38
BUT1 aber
00:06:10:38
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00:06:10:44
00:06:10:48
VIEW2*
00:06:10:48
00:06:11:10
00:06:11:10
00:06:11:30
TO-SPOT2 blick
00:06:11:30
00:06:11:49
00:06:11:49
00:06:12:09
CHURCH2A kirche
00:06:12:09
00:06:12:21
00:06:12:21
00:06:12:31
$INDEX1* [MG]
00:06:12:31
00:06:12:39
00:06:12:39
00:06:14:02
LAMP1B* lampe lampe lampe lampe lampe
00:06:14:02
00:06:14:07
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00:06:14:09
There were lots of them.
00:06:14:09
00:06:14:17
MUCH1A viel
00:06:14:17
00:06:14:32
$INDEX1*
00:06:14:32
00:06:15:14
00:06:15:14
00:06:15:29
Very many different faiths and churches were represented there.
00:06:15:29
00:06:15:32
HAMBURG2* hamburg
00:06:15:32
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00:06:15:37
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VERY6* [MG]
00:06:15:45
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MUCH1C* viel
00:06:16:03
00:06:16:12
00:06:16:12
00:06:16:34
DISTINCT1 verschieden
00:06:16:34
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TO-PRAY1A^ glaube
00:06:17:05
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AND2A und
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00:06:17:29
DISTINCT1 verschie{den}
00:06:17:29
00:06:17:35
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CHURCH2B* kirche
00:06:17:41
00:06:17:49
00:06:17:49
00:06:18:10
ALL2A^
00:06:18:10
00:06:18:25
Very many, that’s true. Some of them were hidden. VERY6 [MG]
00:06:18:25
00:06:18:32
00:06:18:32
00:06:18:37
MUCH1A viel
00:06:18:37
00:06:18:43
00:06:18:43
00:06:19:02
RIGHT-OR-AGREED1A* stimmt
00:06:19:02
00:06:19:10
00:06:19:10
00:06:19:36
TO-HIDE2* versteckt
00:06:19:36
00:06:19:46
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00:06:20:04
But, I’m sorry, I’m not actually that interested in visiting churches.
00:06:20:04
00:06:20:16
I1* aber ich
00:06:20:16
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00:06:20:44
I-AM-SORRY2* tut mir leid
00:06:20:44
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00:06:20:49
00:06:21:04
SUBJECT1*
00:06:21:04
00:06:21:10
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00:06:21:17
CHURCH2C kirche
00:06:21:17
00:06:21:26
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TO-VISIT1
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INTEREST1B [MG]
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I’m not interested in that either.
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NOT5*
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NO-INTEREST1*
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I1
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$GEST-ATTENTION1^*
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I2
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I1 ich
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ALSO1A auch
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NOT3A nicht
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NO-INTEREST1 [MG]
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But our teachers used to force us to visit these churches.
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PAST-OR-BACK-THEN1* früher
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TEACHER1* lehrer
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$INDEX1
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COMPULSION1 [MG]
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MUST1 muss
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I1
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TO-LOOK-AT4^*
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CHURCH2A kirche
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We had to endure it, but that’s how I remember so many of them.
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I2
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TO-ACCEPT-STH3B [MG]
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TO-VISIT1
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$GEST-NM-NOD-HEAD1^ [MG]
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BIT1B* biss{chen}
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TO-REMEMBER2* [MG]
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Okay, so let me ask you again: you haven’t seen the head of Samuel Heinicke yet, have you?
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I2 möchte
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QUESTION1 frage
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YOU1*
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UNTIL-NOW1 bis jetzt
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$NUM-ONE-TO-TEN1A:1 nicht einmal
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$ALPHA1:S samuel heinick{e}
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MASK3^* kopf
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$NUM-ONE-TO-TEN1A:1 nicht einmal
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TO-SEE1
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TO-LOOK-AT3^
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In Eppendorf? $ORAL^ in
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EPPENDORF1* eppendorf
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$INDEX1
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That’s odd.
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No. $GEST-NM-SHAKE-HEAD1^
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$GEST-NM-SHAKE-HEAD1^ komisch
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Many people have never seen the monument and the inscription in golden letters.
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MUCH1A viel
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AREA1A
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NEVER-BEFORE1 noch nie
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MASK3^* samuel heinick{e}
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$PROD*
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$INDEX1*
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GOLD3B* gold
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TO-WRITE1B* schrift
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TO-WRITE2E
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It is in Eppendorf, where the first school for the deaf used to be.
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EPPENDORF1 eppendorf
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PAST-OR-BACK-THEN1 früher
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FIRST-OF-ALL1C erst
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DEAF1A*
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SCHOOL1A* schule
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$PROD*
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$GEST^
00:06:45:38
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The school has been taken down, but now there’s the monument instead.
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GONE-VANISHED1 [MG]
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$INDEX1
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Next time, I will show you.
00:06:47:07
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NEXT1 nächstes mal
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TO-LEAD1A* führen
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THIS1A* samuel heinick{e}
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As typical of northern Germany, people in Hamburg speak Hochdeutsch [high German dialects].
00:06:50:37
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HAMBURG1* hamburg
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TYPICAL1* typisch
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AREA1A^*
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NORTH1B* norddeutsch
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GERMAN1
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HIGH6 hochdeutsch
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GERMAN1
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LANGUAGE1 sprach
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$GEST-OFF1^
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AREA1B*
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$GEST-OFF1^
00:06:55:38
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But before, people liked to use Low German much more. $ORAL^ auch
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TO-OWN1 [MG]
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OLD4B alt
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PAST-OR-BACK-THEN1*
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POPULAR1 {be}liebt
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MUCH1AAREA1A* viel
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WHAT1B* was
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FLAT2 plattdeutsch
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GERMAN1
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$INDEX1*
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00:07:00:45
My mom also really loves Low German.
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I2
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MUM1B* mama
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TO-LIKE2 [MG]
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FLAT2 plattdeutsch
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GERMAN1
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$INDEX1
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That’s the current situation, but before, people said that Low German was dirty.
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NOW1* jetzt
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PAST-OR-BACK-THEN1 früher
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TO-SAY1 sagt man
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FLAT2 plattdeutsch
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GERMAN1
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FIE1 spott
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Today, everyone loves Low German and thinks that it’s not being used enough.
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TODAY1 heute
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TO-SAY1 sag
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FLAT2 plattdeutsch
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GERMAN1
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GREAT1B* toll
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COME-HERE1* [MG]
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LITTLE-BIT9* zu wenig
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$GEST-OFF1^*
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I live in the area of Bergedorf, and there’s something interesting there as well.
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INTEREST1B interessant
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MOMENT2*
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I2
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EYE1^* wohne bergdorf
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AREA1A^*
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If I go into a bookstore to buy a book written in Low German, there’s a whole range to choose from.
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I2
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STORE1* geschäft
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TO-VISIT-OR-TO-ATTEND1B
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PLEASE1B [MG]
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FLAT2 plattdeutsch
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GERMAN1
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BOOK1B buch
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$PROD* [MG]
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VERY6 [MG]
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But in Hamburg’s city centre, it’s the other way around. CONVERSELY1 um
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CENTRE1A zentrum
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HAMBURG1* hamburg
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$INDEX1
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You can only find very few books in Low German at Karstadt in the city centre.
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$ALPHA1:K* karstadt
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MARKET1^*
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CENTRE1A zentrum
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TO-BELONG1*
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I2
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FLAT2 plattdeutsch
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GERMAN1
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BOOK1B buch
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LONG1B [MG]
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SMALL1B
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It’s interesting to see how different the centre is.
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CENTRE1A zentrum
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SURROUNDING1A*
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INTEREST1A
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NOT5*
00:07:26:41
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In the rural areas that’s just more of a topic.
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AREA1A*
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MORE1 mehr
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COUNTRY1A land
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The area Vierlande around Bergedorf is more rural.
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$NUM-ONE-TO-TEN1A:4 vierland{e}
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COUNTRY1A*
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MORE1 mehr
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COUNTRY2 land
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As for example the south.
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DOWN1^ süden
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EXAMPLE1 beispiel
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#For example from my place, Name1, to Allermoehe.
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I2 ich
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APARTMENT1A* wo{hn}
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HIGH3A* hoch
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$NAME #name1
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$INDEX1
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AREA1A^* unten
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$GEST-OFF1^*
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$ALPHA1:A* a{llermöhe}
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$ALPHA1:A allermöhe
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AREA1A^*
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The water level there is low.
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DIFFERENCE1A* unten
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WATER1 wasser
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DOWN2^* tief
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It’s higher in my area. I2 ich
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HIGH3A hoch
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When Hamburg is being flooded, it’s the south that’s hit.
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IF-OR-WHEN1A wenn
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HAMBURG1* hamburg
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WATER1 wasser
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FLOODING2* überschwemmung
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AFFECTED1 betroffen
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$INDEX1
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Also famous in Bergedorf is the mineral water called Bismarck, which you always drink.
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$INDEX1 und
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ALSO1A* auch
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MOUNTAIN1A* bergdorf
00:07:46:09
00:07:46:12
00:07:46:12
00:07:46:25
WELL-KNOWN1A* bekannt
00:07:46:25
00:07:46:32
00:07:46:32
00:07:46:35
YOU1 du
00:07:46:35
00:07:46:41
00:07:46:41
00:07:47:00
REGULARLY2A^ [MG]
00:07:47:00
00:07:47:12
00:07:47:12
00:07:47:21
TO-DRINK1^* mineralwasser
00:07:47:21
00:07:47:34
00:07:47:34
00:07:48:09
$PROD*
00:07:48:09
00:07:48:16
00:07:48:16
00:07:48:34
$ALPHA1:B-S bismarck
00:07:48:34
00:07:48:39
00:07:48:39
00:07:48:49
Yes, I love that.
00:07:48:49
00:07:49:10
YOU1
00:07:49:10
00:07:49:16
YES2
00:07:49:16
00:07:49:19
00:07:49:19
00:07:49:24
00:07:49:24
00:07:49:28
REGULARLY2* TO-LIKE2 [MG]
00:07:49:28
00:07:49:36
00:07:49:36
00:07:49:39
00:07:49:39
00:07:49:44
This is the water from Bergedorf that the Bismarck company bottles there, isn't it?
00:07:49:44
00:07:49:45
I2
00:07:49:45
00:07:49:49
HENCE1 [MG]
00:07:49:49
00:07:50:11
00:07:50:11
00:07:50:19
00:07:50:19
00:07:50:22
MOUNTAIN1A bergdorf
00:07:50:22
00:07:50:39
00:07:50:39
00:07:50:45
00:07:50:45
00:07:50:47
$ALPHA1:B* bismarck
00:07:50:47
00:07:51:09
00:07:51:09
00:07:51:17
COMPANY1A
00:07:51:17
00:07:51:20
00:07:51:20
00:07:51:28
TO-LINK1A
00:07:51:28
00:07:51:35
00:07:51:35
00:07:51:42
WATER1* wasser
00:07:51:42
00:07:51:48
00:07:51:48
00:07:52:24
TO-FLOW-JET-OF-WATER1^*
00:07:52:24
00:07:52:29
That’s what people say, but it actually isn’t true. $GEST-NM-SHAKE-HEAD1^
00:07:52:29
00:07:52:41
MUG1A*
00:07:52:41
00:07:52:44
00:07:52:44
00:07:53:08
TO-TURN1C^* [MG]
00:07:53:08
00:07:53:11
00:07:53:11
00:07:53:19
00:07:53:19
00:07:53:22
OR4B* oder
00:07:53:22
00:07:53:29
00:07:53:29
00:07:53:32
RUMOUR1 gerücht
00:07:53:32
00:07:53:42
$GEST-NM-SHAKE-HEAD1^ was
00:07:53:42
00:07:54:04
00:07:54:04
00:07:54:09
00:07:54:09
00:07:54:12
$NUM-ONE-TO-TEN1A:1d einer
00:07:54:12
00:07:54:19
00:07:54:19
00:07:54:21
ASSERTION2* behauptet
00:07:54:21
00:07:54:25
00:07:54:25
00:07:54:47
ASSERTION1*
00:07:54:47
00:07:55:07
00:07:55:07
00:07:55:19
RIGHT-OR-AGREED1A* stimmt nicht
00:07:55:19
00:07:55:25
00:07:55:25
00:07:55:28
But it doesn’t matter, I just like the taste, and that’s enough.
00:07:55:28
00:07:55:38
WHATEVER3* egal
00:07:55:38
00:07:55:39
00:07:55:39
00:07:56:00
$INDEX1 aber
00:07:56:00
00:07:56:04
00:07:56:04
00:07:56:21
TASTE1* geschmack
00:07:56:21
00:07:56:28
00:07:56:28
00:07:57:04
TO-LIKE3*
00:07:57:04
00:07:57:14
00:07:57:14
00:07:57:20
DONE1B [MG]
00:07:57:20
00:07:57:45
00:07:57:45
00:07:58:09
But it does have something to do with Bergedorf, because of the Sachsenwald [Saxon wood], doesn’t it? $ORAL^ aber
00:07:58:09
00:07:58:13
00:07:58:13
00:07:58:21
SELF1A* selbst
00:07:58:21
00:07:58:28
00:07:58:28
00:07:58:37
COHERENCE3 be{zug}
00:07:58:37
00:07:58:49
00:07:58:49
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$INDEX1
00:07:59:02
00:07:59:05
00:07:59:05
00:07:59:10
AREA1A*
00:07:59:10
00:07:59:14
00:07:59:14
00:07:59:28
BECAUSE-OF2A wegen
00:07:59:28
00:07:59:32
00:07:59:32
00:07:59:44
MOUNTAIN1A bergdorf
00:07:59:44
00:07:59:46
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00:08:00:07
$INDEX1*
00:08:00:07
00:08:00:23
00:08:00:23
00:08:00:43
$GEST^
00:08:00:43
00:08:01:08
The Sachsenwald.
00:08:01:08
00:08:01:10
$INDEX1 [MG]
00:08:01:10
00:08:01:15
$ALPHA1:S* sachsenwald
00:08:01:15
00:08:01:27
00:08:01:27
00:08:01:31
$ALPHA1:S sachsenwald
00:08:01:31
00:08:01:32
00:08:01:32
00:08:01:39
AREA1A^
00:08:01:39
00:08:02:26
AREA1A
00:08:02:26
00:08:02:28
00:08:02:28
00:08:02:32
That means, that the water is pumped via pipelines over the whole distance to the company?
00:08:02:32
00:08:02:36
COHERENCE3 That’s where Bismarck lived.
00:08:02:36
00:08:02:38
$INDEX1
00:08:02:38
00:08:02:47
00:08:02:47
00:08:03:01
$ALPHA1:B bismarck
00:08:03:01
00:08:03:07
THUS1* selbst mehr
00:08:03:07
00:08:03:11
00:08:03:11
00:08:03:22
SELF1A*
00:08:03:22
00:08:03:33
00:08:03:33
00:08:03:40
00:08:03:40
00:08:03:44
WATER1 wasser
00:08:03:44
00:08:03:47
RIGHT-OR-AGREED1^
00:08:03:47
00:08:04:06
00:08:04:06
00:08:04:07
$INDEX1
00:08:04:07
00:08:04:11
00:08:04:11
00:08:04:15
$INDEX1 bismarck bismarck
00:08:04:15
00:08:04:20
00:08:04:20
00:08:04:27
TO-LINK1A
00:08:04:27
00:08:04:34
00:08:04:34
00:08:05:13
$PROD*
00:08:05:13
00:08:05:28
00:08:05:28
00:08:05:42
$$EXTRA-LING-ACT^
00:08:05:42
00:08:06:01
$ORAL^ aber
00:08:06:01
00:08:06:03
00:08:06:03
00:08:06:09
WATER1 wasser
00:08:06:09
00:08:06:12
00:08:06:12
00:08:06:14
TO-LINK1A HIS-HER1
00:08:06:14
00:08:06:23
00:08:06:23
00:08:06:24
00:08:06:24
00:08:06:33
APARTMENT1A wohnt
00:08:06:33
00:08:06:34
BOTH1
00:08:06:34
00:08:06:40
00:08:06:40
00:08:07:32
AREA1A^
00:08:07:32
00:08:07:35
00:08:07:35
00:08:07:37
That’s also where the well is.
00:08:07:37
00:08:07:40
$INDEX1
00:08:07:40
00:08:07:45
00:08:07:45
00:08:08:01
00:08:08:01
00:08:08:06
WHO3^ quelle
00:08:08:06
00:08:08:25
00:08:08:25
00:08:08:29
00:08:08:29
00:08:08:43
But they do not get the water right there. It is a little further away. $ORAL^ aber
00:08:08:43
00:08:08:47
00:08:08:47
00:08:09:09
$INDEX1* quelle
00:08:09:09
00:08:09:13
00:08:09:13
00:08:09:25
CLOSE-BY1A*
00:08:09:25
00:08:09:32
00:08:09:32
00:08:09:42
AREA1C^* [MG]
00:08:09:42
00:08:09:44
00:08:09:44
00:08:09:48
CLOSE-BY1B*
00:08:09:48
00:08:10:02
$ALPHA1:B* bismarck
00:08:10:02
00:08:10:09
NOT3A
00:08:10:09
00:08:10:17
00:08:10:17
00:08:10:42
GAP-OR-DISTANCE5 bisschen weit
00:08:10:42
00:08:10:47
00:08:10:47
00:08:11:12
$INDEX1*
00:08:11:12
00:08:11:19
00:08:11:19
00:08:11:37
TO-GET1A*
00:08:11:37
00:08:11:47
That’s how it’s connected to Bismarck. Yes. $ORAL^ aber
00:08:11:47
00:08:12:01
00:08:12:01
00:08:12:30
TO-LINK1B [MG]
00:08:12:30
00:08:12:49
00:08:12:49
00:08:13:09
Yes, that’s what I meant. $PROD* bismarck
00:08:13:09
00:08:13:16
BOTH1 bismarck
00:08:13:16
00:08:13:30
00:08:13:30
00:08:13:33
00:08:13:33
00:08:13:43
$GEST-NM-NOD-HEAD1^ ja
00:08:13:43
00:08:13:49
OPINION1A mein
00:08:13:49
00:08:14:03
00:08:14:03
00:08:14:11
YES2
00:08:14:11
00:08:14:16
MY3
00:08:14:16
00:08:14:20
00:08:14:20
00:08:14:27
I didn’t know that.
00:08:14:27
00:08:14:31
TO-KNOW-STH2B wusste
00:08:14:31
00:08:14:41
00:08:14:41
00:08:15:00
NOT3A nicht
00:08:15:00
00:08:15:12
00:08:15:12
00:08:15:28
Oh, that’s no problem, neither did I.
00:08:15:28
00:08:15:39
$GEST-DECLINE1^ [MG]
00:08:15:39
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00:08:15:40
00:08:15:45
I2
00:08:15:45
00:08:15:49
00:08:15:49
00:08:16:04
$GEST-OFF1^*
00:08:16:04
00:08:16:07
00:08:16:07
00:08:16:14
BAD3C* schlimm
00:08:16:14
00:08:16:17
00:08:16:17
00:08:16:31
I1* auch nicht
00:08:16:31
00:08:16:37
00:08:16:37
00:08:16:43
It was my son who explained to me that the well isn’t right there, but a bit further away.
00:08:16:43
00:08:16:48
MY1 mein
00:08:16:48
00:08:17:04
00:08:17:04
00:08:17:08
SON1 sohn
00:08:17:08
00:08:17:15
00:08:17:15
00:08:17:26
TO-EXPLAIN1* erklär
00:08:17:26
00:08:17:36
00:08:17:36
00:08:17:44
TO-SAY1 sagt
00:08:17:44
00:08:17:47
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00:08:18:03
$INDEX1
00:08:18:03
00:08:18:08
00:08:18:08
00:08:18:19
RIVER1^* quelle
00:08:18:19
00:08:18:24
00:08:18:24
00:08:18:38
CLOSE-BY1A [MG]
00:08:18:38
00:08:18:45
00:08:18:45
00:08:19:04
AREA1B bismarck
00:08:19:04
00:08:19:09
00:08:19:09
00:08:19:22
NO1A
00:08:19:22
00:08:19:29
00:08:19:29
00:08:20:17
OUTDOORS1B^* außerhalb
00:08:20:17
00:08:20:20
00:08:20:20
00:08:20:23
So, it’s a bit further away, but it’s still connected.
00:08:20:23
00:08:20:27
BIT1B bisschen
00:08:20:27
00:08:20:34
00:08:20:34
00:08:20:44
OUTDOORS1B^* weiter
00:08:20:44
00:08:21:02
00:08:21:02
00:08:21:11
$ORAL^ aber
00:08:21:11
00:08:21:13
00:08:21:13
00:08:21:38
TO-LINK1B [MG]
00:08:21:38
00:08:21:44
00:08:21:44
00:08:22:11
And, bad/
00:08:22:11
00:08:22:12
AND5 und
00:08:22:12
00:08:22:19
I do like the taste.
00:08:22:19
00:08:22:31
00:08:22:31
00:08:22:33
TO-TASTE1A* schmeckt
00:08:22:33
00:08:22:39
BAD3B* sch
00:08:22:39
00:08:22:43
00:08:22:43
00:08:22:46
00:08:22:46
00:08:22:48
I1 mir
00:08:22:48
00:08:22:49
00:08:22:49
00:08:23:05
00:08:23:05
00:08:23:10
GOOD1 gut
00:08:23:10
00:08:23:26
00:08:23:26
00:08:23:41
00:08:23:41
00:08:23:49
About a year ago, I learned that the water of the Alster comes from the Alster source. BAD3B* schlimmste
00:08:23:49
00:08:24:11
00:08:24:11
00:08:24:18
A-MOMENT-AGO1A
00:08:24:18
00:08:24:30
00:08:24:30
00:08:25:09
$NUM-YEAR-BEFORE-NOW1:1 vor einem jahr
00:08:25:09
00:08:26:24
00:08:26:24
00:08:27:05
ROUND3A^ alster
00:08:27:05
00:08:27:20
00:08:27:20
00:08:27:32
WHERE-FROM1 wo kommt das wasser
00:08:27:32
00:08:27:43
00:08:27:43
00:08:28:06
WATER1
00:08:28:06
00:08:28:15
00:08:28:15
00:08:28:27
$INDEX1
00:08:28:27
00:08:28:34
00:08:28:34
00:08:29:12
$PROD*
00:08:29:12
00:08:29:25
00:08:29:25
00:08:29:38
ALSTER1 alsterquelle
00:08:29:38
00:08:30:01
00:08:30:01
00:08:30:30
SOURCE1A*
00:08:30:30
00:08:30:35
So, you know, the source isn’t in Hamburg itself, but beyond the city limits.
00:08:30:35
00:08:30:43
TO-KNOW-STH-OR-SB1A kenn
00:08:30:43
00:08:31:13
00:08:31:13
00:08:31:25
$PROD*
00:08:31:25
00:08:31:39
00:08:31:39
00:08:31:44
HERE1 hier
00:08:31:44
00:08:32:03
00:08:32:03
00:08:32:07
HAMBURG1* ham{burg}
00:08:32:07
00:08:32:16
00:08:32:16
00:08:32:28
BEYOND3 außerhalb
00:08:32:28
00:08:32:36
00:08:32:36
00:08:33:16
$INDEX1
00:08:33:16
00:08:33:34
CIRCLE2
00:08:33:34
00:08:33:46
Of course I had an idea of what the source of the Alster would look like.
00:08:33:46
00:08:33:49
I1
00:08:33:49
00:08:34:15
00:08:34:15
00:08:34:30
ALSTER1* alsterquelle
00:08:34:30
00:08:34:41
00:08:34:41
00:08:34:49
SOURCE1A
00:08:34:49
00:08:35:22
00:08:35:22
00:08:35:30
TO-PUT-IN2^*
00:08:35:30
00:08:35:36
00:08:35:36
00:08:36:19
PICTURE1 [MG]
00:08:36:19
00:08:36:33
$GEST-NM-SHAKE-HEAD1^
00:08:36:33
00:08:36:35
I thought it would be something like very bubbly water, that’s the idea I had.
00:08:36:35
00:08:36:45
TO-KNOW-STH2B [MG]
00:08:36:45
00:08:37:07
00:08:37:07
00:08:37:11
TO-THINK1B* da{chte}
00:08:37:11
00:08:37:18
00:08:37:18
00:08:37:32
$PROD* wasser
00:08:37:32
00:08:37:39
00:08:37:39
00:08:37:41
I1
00:08:37:41
00:08:38:04
00:08:38:04
00:08:38:16
$ORAL^ wie
00:08:38:16
00:08:38:21
00:08:38:21
00:08:39:35
$PROD* [MG]
00:08:39:35
00:08:39:42
00:08:39:42
00:08:39:46
I1 ich
00:08:39:46
00:08:40:08
00:08:40:08
00:08:40:16
TO-THINK1A de{nk}
00:08:40:16
00:08:40:20
00:08:40:20
00:08:40:33
We went there as a group, and a friend was our guide.
00:08:40:33
00:08:40:49
$ORAL^ paar
00:08:40:49
00:08:41:11
$PROD* [MG]
00:08:41:11
00:08:41:15
00:08:41:15
00:08:41:18
$NUM-ONE-TO-TEN1A:1d ein
00:08:41:18
00:08:41:27
00:08:41:27
00:08:41:36
PERSON1
00:08:41:36
00:08:41:45
00:08:41:45
00:08:42:04
TO-LEAD1A* führer
00:08:42:04
00:08:42:16
00:08:42:16
00:08:42:26
FRIEND1A freund
00:08:42:26
00:08:42:30
00:08:42:30
00:08:42:38
We went there by bike, and the ride was quite long and hilly.
00:08:42:38
00:08:42:45
TO-LEAD1A* fü{hren} führ
00:08:42:45
00:08:43:04
00:08:43:04
00:08:43:27
BICYCLE1 mit fahrrad
00:08:43:27
00:08:43:37
00:08:43:37
00:08:44:47
$PROD* [MG]
00:08:44:47
00:08:45:00
00:08:45:00
00:08:45:11
When we left Hamburg behind and arrived at the Alster’s source, we were quite disappointed.
00:08:45:11
00:08:45:15
HERE-NOW1^* da
00:08:45:15
00:08:45:26
00:08:45:26
00:08:45:33
HAMBURG1* hamburg
00:08:45:33
00:08:46:08
00:08:46:08
00:08:46:38
OVER3* vorbei
00:08:46:38
00:08:47:03
00:08:47:03
00:08:47:07
DONE4*
00:08:47:07
00:08:47:16
00:08:47:16
00:08:47:26
SHORTLY-SOON1
00:08:47:26
00:08:47:34
00:08:47:34
00:08:47:39
$INDEX1*
00:08:47:39
00:08:47:44
00:08:47:44
00:08:48:03
WHERE1A* wo
00:08:48:03
00:08:48:09
00:08:48:09
00:08:48:19
SOURCE1A* alsterque{lle}
00:08:48:19
00:08:48:30
00:08:48:30
00:08:48:38
$INDEX1
00:08:48:38
00:08:49:02
$ORAL^ wir
00:08:49:02
00:08:49:16
$PROD*
00:08:49:16
00:08:49:25
00:08:49:25
00:08:49:45
THIS1A [MG]
00:08:49:45
00:08:50:05
00:08:50:05
00:08:50:15
FRUSTRATION1 aus
00:08:50:15
00:08:50:27
00:08:50:27
00:08:50:32
It was just a hole in the ground with a lid made of concrete.
00:08:50:32
00:08:50:36
ONLY2B nur
00:08:50:36
00:08:51:01
00:08:51:01
00:08:51:40
CIRCLE2*
00:08:51:40
00:08:51:48
$ORAL^ wie
00:08:51:48
00:08:52:02
00:08:52:02
00:08:52:38
NET1A^ beton
00:08:52:38
00:08:52:47
00:08:52:47
00:08:52:49
It was like one of these manholes in the streets that you can take the cover off of.
00:08:52:49
00:08:53:25
LIKE-HOW1B wie
00:08:53:25
00:08:54:11
00:08:54:11
00:08:54:26
STREET1A auf straße
00:08:54:26
00:08:54:46
00:08:54:46
00:08:55:00
NET1A^
00:08:55:00
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00:08:55:05
00:08:55:18
$ORAL^ tief
00:08:55:18
00:08:55:46
TO-DIG1D^*
00:08:55:46
00:08:56:05
00:08:56:05
00:08:56:06
It was just a round hole with a grid on top.
00:08:56:06
00:08:56:25
CIRCLE2* wie
00:08:56:25
00:08:56:27
00:08:56:27
00:08:56:38
$ORAL^ mit
00:08:56:38
00:08:57:02
NET1A^
00:08:57:02
00:08:57:07
On the covering grid it said: Hamburg Alsterquelle [source of the Alster].
00:08:57:07
00:08:57:35
CIRCLE1A* beton
00:08:57:35
00:08:58:06
00:08:58:06
00:08:58:27
HEADING1^* hamburg
00:08:58:27
00:08:58:47
00:08:58:47
00:08:59:03
$INDEX2 alsterquelle
00:08:59:03
00:08:59:25
HEADING1*
00:08:59:25
00:08:59:37
00:08:59:37
00:08:59:44
DONE1B*
00:08:59:44
00:09:00:07
And this is supposed to be the source the Alster comes from.
00:09:00:07
00:09:00:27
$INDEX1
00:09:00:27
00:09:00:33
00:09:00:33
00:09:00:38
I2 [MG]
00:09:00:38
00:09:00:42
00:09:00:42
00:09:00:46
WHAT1A*
00:09:00:46
00:09:01:02
00:09:01:02
00:09:01:10
$INDEX1 was
00:09:01:10
00:09:01:38
00:09:01:38
00:09:02:03
SOURCE1A erste wasser
00:09:02:03
00:09:02:10
00:09:02:10
00:09:02:26
SOURCE1C
00:09:02:26
00:09:02:41
$ORAL^ dann
00:09:02:41
00:09:03:20
RIVER1* fluss
00:09:03:20
00:09:03:23
But before, a gravel pit was excavated that was supposed to be flooded with water, forming the Alster.
00:09:03:23
00:09:03:25
BUT1* aber
00:09:03:25
00:09:03:32
00:09:03:32
00:09:03:41
BEFOREHAND1A* vorher
00:09:03:41
00:09:04:08
00:09:04:08
00:09:04:24
CIRCLE2* alster
00:09:04:24
00:09:04:31
RIGHT-OR-AGREED1^*
00:09:04:31
00:09:04:37
00:09:04:37
00:09:05:17
EXCAVATOR1* baggersee
00:09:05:17
00:09:05:35
CIRCLE2*
00:09:05:35
00:09:06:00
00:09:06:00
00:09:06:36
$PROD* wasser
00:09:06:36
00:09:07:04
Rainfall helped form some arms of the river that all led to the Alster and filled it.
00:09:07:04
00:09:07:10
LATER10* später
00:09:07:10
00:09:07:15
00:09:07:15
00:09:07:26
$INDEX1* wie
00:09:07:26
00:09:08:00
00:09:08:00
00:09:08:22
RAIN2A* regen
00:09:08:22
00:09:08:35
THROUGH2A* durch
00:09:08:35
00:09:08:42
00:09:08:42
00:09:10:20
RIVER1* fluss
00:09:10:20
00:09:10:29
UNTIL1* bis
00:09:10:29
00:09:10:35
00:09:10:35
00:09:11:28
$PROD* alster
00:09:11:28
00:09:11:30
00:09:11:30
00:09:11:37
Do you know what I mean?
00:09:11:37
00:09:11:44
TO-KNOW-STH2B^ verstehst
00:09:11:44
00:09:12:07
00:09:12:07
00:09:12:22
YOU1 du
00:09:12:22
00:09:13:03
No. $GEST-NM-SHAKE-HEAD1^ nein
00:09:13:03
00:09:13:06
So, when I was there one or two years ago, all I could see was this small hole, about this size.
00:09:13:06
00:09:13:10
I2 ich
00:09:13:10
00:09:13:22
00:09:13:22
00:09:13:38
$NUM-YEAR-BEFORE-NOW1:1 vor einem jahr
00:09:13:38
00:09:13:47
00:09:13:47
00:09:14:09
FIRST-TIME3C erste mal
00:09:14:09
00:09:14:26
00:09:14:26
00:09:14:31
$INDEX1
00:09:14:31
00:09:14:39
00:09:14:39
00:09:14:42
$GEST-OFF1^*
00:09:14:42
00:09:15:04
00:09:15:04
00:09:15:09
EASY4 [MG]
00:09:15:09
00:09:15:19
00:09:15:19
00:09:15:20
SMALL9*
00:09:15:20
00:09:15:24
00:09:15:24
00:09:15:32
SMALL10 [MG]
00:09:15:32
00:09:15:43
00:09:15:43
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SMALL2 so
00:09:15:49
00:09:16:16
00:09:16:16
00:09:16:46
SMALL1B schmal
00:09:16:46
00:09:17:03
00:09:17:03
00:09:17:09
From there, the creek takes its course and becomes broader and broader until it’s the Alster. It’s unbelievable.
00:09:17:09
00:09:18:16
$PROD* [MG]
00:09:18:16
00:09:18:40
00:09:18:40
00:09:19:24
BIG3A* [MG]
00:09:19:24
00:09:19:47
00:09:19:47
00:09:20:21
CIRCLE2* alster
00:09:20:21
00:09:20:33
00:09:20:33
00:09:20:39
BIG3A
00:09:20:39
00:09:20:43
00:09:20:43
00:09:21:24
INCREDIBLE2 unglaub{lich}
00:09:21:24
00:09:21:26
00:09:21:26
00:09:21:44
It went all the way from there to the Alster, it was really unbelievable. BEGINNING1A* von anfang
00:09:21:44
00:09:22:02
00:09:22:02
00:09:22:12
THERE1
00:09:22:12
00:09:22:39
$PROD*
00:09:22:39
00:09:23:03
00:09:23:03
00:09:23:09
GONE-TO-LOSE-STH1^*
00:09:23:09
00:09:23:17
00:09:23:17
00:09:24:09
$PROD*
00:09:24:09
00:09:24:32
00:09:24:32
00:09:25:22
INCREDIBLE2 unglaublich
00:09:25:22
00:09:25:31
00:09:25:31
00:09:25:36
It was a year ago that I saw the source of the Alster for the first time, and that was when I really got it. I1
00:09:25:36
00:09:25:43
00:09:25:43
00:09:26:04
FIRST-TIME3C erst
00:09:26:04
00:09:26:18
00:09:26:18
00:09:26:31
$NUM-YEAR-BEFORE-NOW1:1 vor einem jahr
00:09:26:31
00:09:26:39
00:09:26:39
00:09:27:05
TO-SEE1
00:09:27:05
00:09:27:12
00:09:27:12
00:09:27:21
$ALPHA1:A alsterquelle
00:09:27:21
00:09:27:34
00:09:27:34
00:09:28:04
EXACTLY-THAT1
00:09:28:04
00:09:28:13
00:09:28:13
00:09:28:26
It’s just this small hole in the forest.
00:09:28:26
00:09:29:06
PICTURE1^ [MG]
00:09:29:06
00:09:29:23
00:09:29:23
00:09:29:25
IN1* im
00:09:29:25
00:09:29:33
00:09:29:33
00:09:29:45
FOREST2B* wald
00:09:29:45
00:09:30:02
00:09:30:02
00:09:30:08
IN1
00:09:30:08
00:09:30:10
00:09:30:10
00:09:30:13
Maybe you can just see for yourself and take a bike tour there, if you like.
00:09:30:13
00:09:30:15
YOU1 du
00:09:30:15
00:09:30:18
00:09:30:18
00:09:30:28
NEXT2 nächste
00:09:30:28
00:09:30:33
00:09:30:33
00:09:30:45
TO-TRY-OR-REHEARSAL1 probieren
00:09:30:45
00:09:31:04
00:09:31:04
00:09:31:19
TO-GO-THERE1
00:09:31:19
00:09:31:28
00:09:31:28
00:09:31:46
BICYCLE1 fah{rrad}
00:09:31:46
00:09:32:05
00:09:32:05
00:09:32:13
TO-TRY-OR-REHEARSAL1 prob{ieren}
00:09:32:13
00:09:32:14
00:09:32:14
00:09:32:19
NOT3A nicht
00:09:32:19
00:09:32:25
BAD-OR-STALE1 schlecht
00:09:32:25
00:09:32:29
00:09:32:29
00:09:32:33
$INDEX1
00:09:32:33
00:09:33:06
00:09:33:06
00:09:34:44
00:09:34:44
00:09:35:00
So, it’s really green here.
00:09:35:00
00:09:35:11
HAMBURG1* hamburg
00:09:35:11
00:09:35:23
00:09:35:23
00:09:35:33
REALLY1* wirklich
00:09:35:33
00:09:35:38
00:09:35:38
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MUCH1A viel
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00:09:36:08
00:09:37:24
$PROD* grün
00:09:37:24
00:09:37:28
00:09:37:28
00:09:37:36
That makes the city really nice.
00:09:37:36
00:09:37:47
SURROUNDING1A*
00:09:37:47
00:09:38:06
00:09:38:06
00:09:38:20
BEAUTIFUL1A schön
00:09:38:20
00:09:38:25
00:09:38:25
00:09:38:36
CITY2 stadt
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00:09:38:46
00:09:38:46
00:09:39:01
My cousin always tells me that Hamburg is more beautiful than Munich.
00:09:39:01
00:09:39:19
MY1*
00:09:39:19
00:09:39:27
00:09:39:27
00:09:39:45
COUSIN-FEMALE1 cousin
00:09:39:45
00:09:40:00
00:09:40:00
00:09:40:09
TO-SAY2B sagt
00:09:40:09
00:09:40:23
00:09:40:23
00:09:40:38
ALWAYS4A* immer
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00:09:40:48
00:09:40:48
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HAMBURG2* hamburg
00:09:41:05
00:09:41:12
00:09:41:12
00:09:41:22
BEAUTIFUL1A schön
00:09:41:22
00:09:41:25
00:09:41:25
00:09:41:30
AS3* als
00:09:41:30
00:09:41:37
00:09:41:37
00:09:41:44
MUNICH1A* münchen
00:09:41:44
00:09:42:01
00:09:42:01
00:09:42:19
$INDEX1*
00:09:42:19
00:09:42:28
00:09:42:28
00:09:42:36
But he has to stay in Munich because of his job.
00:09:42:36
00:09:42:45
MUST1 muss
00:09:42:45
00:09:43:06
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00:09:43:09
MUNICH1A* mün{chen}
00:09:43:09
00:09:43:16
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TO-STAY2* bleiben
00:09:43:25
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00:09:43:43
BECAUSE-OF2A wegen
00:09:43:43
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00:09:44:03
00:09:44:16
PROFESSION1A beruf
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00:09:44:28
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$GEST-OFF1^
00:09:44:37
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00:09:44:44
00:09:45:05
MUST1* muss
00:09:45:05
00:09:45:23
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$GEST-OFF1^
00:09:45:29
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00:09:45:31
00:09:45:39
But you are right, Hamburg has more to offer, and the green spaces are really nice.
00:09:45:39
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$INDEX1
00:09:45:49
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00:09:46:13
00:09:46:23
BEAUTIFUL1A schön
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MORE1* mehr
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RIGHT-OR-AGREED1B stimmt
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MORE1 mehr
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OFFER1B angebot
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00:09:49:14
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MORE2* mehr
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00:09:49:32
NATURE8 natur
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SURROUNDING1A*
00:09:50:19
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It is quite diverse.
00:09:52:24
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I1
00:09:52:27
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CAN1
00:09:52:39
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ALTERNATION1* abwechs{lungs}reich
00:09:53:08
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00:09:53:21
00:09:53:33
RICH3
00:09:53:33
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$INDEX1
00:09:54:02
00:09:54:09
00:09:54:09
00:09:54:27
If the weather is nice, you can have a rest at the Elbe.
00:09:54:27
00:09:55:07
BEAUTIFUL5 schönes
00:09:55:07
00:09:55:13
00:09:55:13
00:09:55:29
$ORAL^ wetter
00:09:55:29
00:09:55:46
ELBE-RIVER1* elbe
00:09:55:46
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00:09:56:21
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TO-LIE-LEG1A* [MG]
00:09:56:46
00:09:57:04
00:09:57:04
00:09:57:11
At night, you can have a drink on the Reeperbahn.
00:09:57:11
00:09:57:34
EVENING2 abend
00:09:57:34
00:09:58:01
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$GEST-DECLINE1^ [MG]
00:09:58:08
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TO-DRINK2B [MG]
00:09:58:28
00:09:58:36
00:09:58:36
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OFF-OR-AWAY1*
00:09:59:00
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00:09:59:07
00:09:59:19
REEPERBAHN1 reeperbahn
00:09:59:19
00:09:59:27
00:09:59:27
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TO-GO-THERE2
00:09:59:43
00:09:59:48
00:09:59:48
00:10:00:08
You can also take an evening walk from the Alster to Blankenese on Sundays.
00:10:00:08
00:10:00:23
EVENING2
00:10:00:23
00:10:00:40
00:10:00:40
00:10:01:21
TO-GO-FOR-A-WALK1* spazieren
00:10:01:21
00:10:01:31
00:10:01:31
00:10:01:38
$ALPHA1:A alster
00:10:01:38
00:10:01:45
00:10:01:45
00:10:02:02
$INDEX1
00:10:02:02
00:10:02:09
00:10:02:09
00:10:02:23
ARROGANT1^
00:10:02:23
00:10:02:32
00:10:02:32
00:10:02:38
SUNDAY1B sonn{tag}
00:10:02:38
00:10:03:04
00:10:03:04
00:10:03:45
TO-GO-FOR-A-WALK1* [MG]
00:10:03:45
00:10:03:48
00:10:03:48
00:10:04:12
A lot is possible!
00:10:04:12
00:10:04:19
TO-SAY1 [MG]
00:10:04:19
00:10:04:23
00:10:04:23
00:10:04:43
ALTERNATION1* abwechs{lungs}reich
00:10:04:43
00:10:05:11
00:10:05:11
00:10:05:22
RICH3
00:10:05:22
00:10:05:28
00:10:05:28
00:10:05:34
There are so many nice options.
00:10:05:34
00:10:05:49
$GEST-DECLINE1^ [MG]
00:10:05:49
00:10:06:05
00:10:06:05
00:10:06:09
$GEST-OFF1^*
00:10:06:09
00:10:06:23
00:10:06:23
00:10:06:30
BEAUTIFUL5* schön
00:10:06:30
00:10:06:32
00:10:06:32
00:10:06:48
SURROUNDING1A
00:10:06:48
00:10:07:02
00:10:07:02
00:10:07:05
Why would I go anywhere else when Hamburg already has everything? That’s great!
00:10:07:05
00:10:07:14
I2* für mich
00:10:07:14
00:10:07:30
00:10:07:30
00:10:08:08
TO-DRIVE3*
00:10:08:08
00:10:08:14
00:10:08:14
00:10:08:39
LIKE-THIS1A* so
00:10:08:39
00:10:09:04
00:10:09:04
00:10:09:10
HAMBURG1* hamburg
00:10:09:10
00:10:09:21
00:10:09:21
00:10:09:32
BEAUTIFUL5* schönste
00:10:09:32
00:10:09:35
00:10:09:35
00:10:10:01
SURROUNDING1A
00:10:10:01
00:10:10:10
00:10:10:10
00:10:10:19
As I already said, #I live in Name2, that’s my home.
00:10:10:19
00:10:10:22
HOUSE2*
00:10:10:22
00:10:10:27
00:10:10:27
00:10:10:31
I2
00:10:10:31
00:10:10:39
00:10:10:39
00:10:10:45
HOUSE2 wohn
00:10:10:45
00:10:10:49
00:10:10:49
00:10:11:08
TO-SAY1 sag
00:10:11:08
00:10:11:11
00:10:11:11
00:10:11:19
A-MOMENT-AGO1A eben
00:10:11:19
00:10:11:27
00:10:11:27
00:10:11:32
$INDEX1
00:10:11:32
00:10:12:01
00:10:12:01
00:10:12:08
MY1 mein
00:10:12:08
00:10:12:14
00:10:12:14
00:10:12:24
HOMELAND2* heimat
00:10:12:24
00:10:12:36
00:10:12:36
00:10:12:43
$NAME #name2
00:10:12:43
00:10:12:49
00:10:12:49
00:10:13:33
AREA1B
00:10:13:33
00:10:13:42
I don’t think Wandsbek is that extraordinary.
00:10:13:42
00:10:13:46
TO-BELIEVE2A* glaube
00:10:13:46
00:10:14:05
00:10:14:05
00:10:14:11
WANDSBEK1* wandsbek
00:10:14:11
00:10:14:20
00:10:14:20
00:10:15:00
PARTICULARLY1B [MG]
00:10:15:00
00:10:15:02
But historically Wandsbek did play a special role.
00:10:15:02
00:10:15:20
TRUE2* wahr
00:10:15:20
00:10:15:38
00:10:15:38
00:10:15:42
TO-HAVE-TO-OWN1* hat
00:10:15:42
00:10:16:01
00:10:16:01
00:10:16:13
TO-TELL1^* historisch
00:10:16:13
00:10:16:20
00:10:16:20
00:10:16:25
PAST1^
00:10:16:25
00:10:16:34
00:10:16:34
00:10:16:45
HISTORY-OR-STORY2* geschi{chte}
00:10:16:45
00:10:17:03
00:10:17:03
00:10:17:13
WANDSBEK1 wandsbek
00:10:17:13
00:10:17:24
00:10:17:24
00:10:17:37
PARTICULARLY1A bes{onders}
00:10:17:37
00:10:18:01
There is this small train station where, over time, lots off monuments have been erected. TRAIN-STATION3 bahnhof
00:10:18:01
00:10:18:15
00:10:18:15
00:10:18:32
$PROD*
00:10:18:32
00:10:18:42
00:10:18:42
00:10:18:46
$INDEX1
00:10:18:46
00:10:19:15
00:10:19:15
00:10:19:28
HISTORY-INTS1 historisch
00:10:19:28
00:10:19:36
00:10:19:36
00:10:19:40
THERE-IS3*
00:10:19:40
00:10:19:49
00:10:19:49
00:10:20:05
MORE3* mehr
00:10:20:05
00:10:20:11
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TO-KNOW-STH2B^*
00:10:20:18
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00:10:20:41
HISTORY-OR-STORY1^* historisch
00:10:20:41
00:10:20:48
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00:10:21:22
$PROD* was was
00:10:21:22
00:10:21:38
00:10:21:38
00:10:21:46
I do think Boberg is quite special, though.
00:10:21:46
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$ALPHA1:B*$INDEX1 boberg
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MOUNTAIN1A
00:10:22:20
00:10:22:38
00:10:22:38
00:10:23:01
ACTUALLY1B eigent{lich}
00:10:23:01
00:10:23:22
00:10:23:22
00:10:23:28
PARTICULARLY1B beson{ders} Before people used to say “Boberg? I don’t know where that is.”
00:10:23:28
00:10:23:41
$GEST-ATTENTION1^
00:10:23:41
00:10:23:42
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$GEST-NM-SHAKE-HEAD1^
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PAST-OR-BACK-THEN1 früher
00:10:24:36
00:10:24:49
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00:10:25:17
$ALPHA1:B boberg
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WHAT1B was
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PEOPLE2 leute
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TO-SAY1 sag
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$GEST-NM-NOD-HEAD1^ boberg
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00:10:27:20
DONT-KNOW-STH-OR-SB1 kenn nicht
00:10:27:20
00:10:27:33
00:10:27:33
00:10:27:37
Today they say: “Wait, it’s really nice there!”
00:10:27:37
00:10:27:44
TODAY1 heute
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00:10:28:17
$GEST-ATTENTION1^ boberg
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BEAUTIFUL1A schön
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00:10:29:10
00:10:29:10
00:10:29:18
It’s also close to the emergency hospital, which is also quite renowned.
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AND5* und
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00:10:29:40
CLOSE-BY1B [MG]
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ACCIDENT2A unfallkrankenhaus
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HOSPITAL1A
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$INDEX1
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00:10:31:32
WELL-KNOWN3C bekannt
00:10:31:32
00:10:31:45
00:10:31:45
00:10:31:49
It is specialised on treating fingers and burns. WHAT1B* was
00:10:31:49
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00:10:33:03
HAND1^* finger
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AND7B* und
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00:10:33:33
00:10:34:24
BURN1A verbrannt
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00:10:34:30
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00:10:35:01
I mean burn wounds on the body, that’s what they in Boberg are specialised in.
00:10:35:01
00:10:35:12
BURN1A verbrannt
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00:10:35:32
BODY1*
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SPECIAL1* spezial
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TO-BELONG1 boberg
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00:10:36:39
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00:10:36:49
$GEST-OFF1^*
00:10:36:49
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00:10:37:07
That’s why there are so many helicopters going around in that area.
00:10:37:07
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MOST1B* meist
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$PROD* hubschrauber hubschrauber
00:10:38:22
00:10:38:26
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00:10:38:33
You probably remember that one well-known accident when two airplanes that had just set off crashed over Wuppertal and Remscheid.
00:10:38:33
00:10:38:36
TO-KNOW-STH-OR-SB1A*
00:10:38:36
00:10:39:07
WELL-KNOWN3C bekannt
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00:10:39:23
PAST-OR-BACK-THEN1 früher
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$INDEX1
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00:10:40:29
WUPPERTAL2 wuppertal
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00:10:41:09
$ORAL^ remscheid
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00:10:42:04
$PROD* [MG]
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00:10:42:09
00:10:42:30
$ORAL^ flugzeug
00:10:42:30
00:10:43:03
$PROD* [MG]
00:10:43:03
00:10:43:13
00:10:43:13
00:10:43:22
The burn victims were brought to Boberg.
00:10:43:22
00:10:43:34
BURN1A verbrannt
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00:10:43:45
00:10:43:45
00:10:44:09
TO-DELIVER1B liefern
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00:10:44:46
$INDEX1 boberg
00:10:44:46
00:10:45:20
00:10:45:20
00:10:45:36
TO-DELIVER1B
00:10:45:36
00:10:45:40
00:10:45:40
00:10:46:02
They can save people with the worst of burns.
00:10:46:02
00:10:46:17
BAD3D schlimmste
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BURN1A* verbrannt
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$INDEX1
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CAN1 kann
00:10:47:18
00:10:47:26
00:10:47:26
00:10:47:38
RESCUE1 rette
00:10:47:38
00:10:47:43
They also treat wheelchair users or people who have had certain accidents at work.
00:10:47:43
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ALSO3A auch
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WHEELCHAIR2D rollstuhl
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PARTICULARLY1B besonder{s}
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PROFESSION1A berufsunfall
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ACCIDENT2A
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$INDEX1
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TO-PROMOTE1B fördern
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$INDEX1
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PRIMARILY1 [MG]
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00:10:51:29
00:10:51:40
Boberg also keeps expanding.
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00:10:51:46
$NAME boberg
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TO-INCREASE3 vergrößer
00:10:52:36
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They cut down more and more of the forest and the city expands. I2*
00:10:52:46
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FOREST2B* wald
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OFF1B* ab ab ab
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TO-INCREASE2*
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So now there is enough space for the helicopters to land, and new buildings keep rising up closer and closer to where I live, I wish they’d stay away!
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HELICOPTER2* hubschrauber
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TO-INCREASE2*
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I2*
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TO-INCREASE2* [MG]
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STOP1
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But green spaces decline.
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NATURE3* natur
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SURROUNDING1A*
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00:11:00:00
LITTLE-BIT7A* [MG]
00:11:00:00
00:11:00:14
00:11:00:14
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$GEST-OFF1^ [MG]
00:11:00:21
00:11:01:15
00:11:01:15
00:11:01:29
Your h/ But sure, the state does need money. $GEST-NM-SHAKE-HEAD1^
00:11:01:29
00:11:01:34
YOU1
00:11:01:34
00:11:01:36
00:11:01:36
00:11:01:43
LIKE-THIS1A* so
00:11:01:43
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TO-BELONG2^*
00:11:01:49
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00:11:02:31
STATE1A staat
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TO-NEED1* braucht
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MONEY1C geld
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00:11:03:22
00:11:03:22
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#So, your home is Name1.
00:11:03:40
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TO-BELONG2 [MG]
00:11:03:49
00:11:04:03
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HOMELAND2* heimat
00:11:04:14
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SURROUNDING1A*
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I1 [MG]
00:11:04:45
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$NAME #name1
00:11:05:05
00:11:05:13
00:11:05:13
00:11:05:26
SURROUNDING1A
00:11:05:26
00:11:05:29
00:11:05:29
00:11:05:33
When you take a bike trip you suddenly enter something you could call the second Lüneburger Heide [Lüneburg Heath, woodland and part nature reserve in Lower Saxony], where they also trim the plants.
00:11:05:33
00:11:06:19
BICYCLE1 fahrrad
00:11:06:19
00:11:06:32
$GEST-NM^*
00:11:06:32
00:11:06:38
00:11:06:38
00:11:06:43
WEIRD-STRANGE1* [MG]
00:11:06:43
00:11:06:49
00:11:06:49
00:11:07:05
WHAT1A was
00:11:07:05
00:11:07:12
00:11:07:12
00:11:07:13
PLAIN-AREA1*
00:11:07:13
00:11:07:16
00:11:07:16
00:11:07:32
$NUM-ORDINAL1:2 zweite
00:11:07:32
00:11:07:44
00:11:07:44
00:11:08:05
LUNENBURG1* lüneburger heide
00:11:08:05
00:11:08:12
00:11:08:12
00:11:08:28
PLAIN-AREA1*
00:11:08:28
00:11:08:41
00:11:08:41
00:11:09:02
$PROD*
00:11:09:02
00:11:09:09
00:11:09:09
00:11:09:22
Right, that’s interesting.
00:11:09:22
00:11:09:27
PLAIN-AREA1*
00:11:09:27
00:11:10:01
YES2
00:11:10:01
00:11:10:03
00:11:10:03
00:11:10:05
$ORAL^ wie
00:11:10:05
00:11:10:08
00:11:10:08
00:11:10:12
$GEST-ATTENTION1^
00:11:10:12
00:11:10:20
$INDEX1
00:11:10:20
00:11:10:26
CUT2* schnitt
00:11:10:26
00:11:10:40
INTEREST1A interessant
00:11:10:40
00:11:11:01
$GEST-ATTENTION1^
00:11:11:01
00:11:11:06
00:11:11:06
00:11:11:20
RIGHT-OR-AGREED1B stimmt
00:11:11:20
00:11:11:28
00:11:11:28
00:11:11:42
I didn’t know about it before, but about three years ago I went for a walk and suddenly felt startled.
00:11:11:42
00:11:12:04
PAST-OR-BACK-THEN1 [MG]
00:11:12:04
00:11:12:08
00:11:12:08
00:11:12:13
00:11:12:13
00:11:12:25
I1 ich
00:11:12:25
00:11:12:40
00:11:12:40
00:11:12:46
TO-KNOW-STH2B* wusste
00:11:12:46
00:11:13:03
00:11:13:03
00:11:13:10
NOT3A nicht
00:11:13:10
00:11:13:13
00:11:13:13
00:11:13:26
I1 ich
00:11:13:26
00:11:13:32
00:11:13:32
00:11:13:49
APPROXIMATELY1* [MG]
00:11:13:49
00:11:14:08
00:11:14:08
00:11:14:28
$NUM-YEAR-BEFORE-NOW1:3d drei jahr
00:11:14:28
00:11:14:35
00:11:14:35
00:11:14:44
I2
00:11:14:44
00:11:15:05
00:11:15:05
00:11:15:12
TO-WALK9C* [MG]
00:11:15:12
00:11:15:15
00:11:15:15
00:11:15:20
$GEST^ erschrock
00:11:15:20
00:11:15:26
00:11:15:26
00:11:15:43
FRIGHT1*
00:11:15:43
00:11:16:04
00:11:16:04
00:11:16:21
A shepherd was walking through Boberg with all his flock.
00:11:16:21
00:11:16:32
SHEEP2* schafhirt
00:11:16:32
00:11:16:45
00:11:16:45
00:11:17:05
$ALPHA1:H*
00:11:17:05
00:11:17:17
00:11:17:17
00:11:17:32
$PROD*
00:11:17:32
00:11:18:10
00:11:18:10
00:11:18:13
I1
00:11:18:13
00:11:18:18
00:11:18:18
00:11:18:24
APARTMENT1B boberg
00:11:18:24
00:11:18:32
00:11:18:32
00:11:18:36
MASS-OF-PEOPLE-ACTIVE2
00:11:18:36
00:11:18:44
00:11:18:44
00:11:19:05
SHEEP2 schaf
00:11:19:05
00:11:19:09
00:11:19:09
00:11:20:02
MASS-OF-PEOPLE-ACTIVE2*
00:11:20:02
00:11:20:08
00:11:20:08
00:11:20:11
I didn’t know what was going on.
00:11:20:11
00:11:20:18
I1 [MG]
00:11:20:18
00:11:20:28
$GEST-NM-SHAKE-HEAD1^
00:11:20:28
00:11:21:16
00:11:21:16
00:11:21:24
TO-KNOW-STH2B* wusste
00:11:21:24
00:11:21:33
00:11:21:33
00:11:21:44
NOT3A nicht
00:11:21:44
00:11:22:00
00:11:22:00
00:11:22:16
I was really confused.
00:11:22:16
00:11:22:22
I1
00:11:22:22
00:11:22:31
00:11:22:31
00:11:23:16
TO-WONDER1 [MG]
00:11:23:16
00:11:23:22
A hearing friend then told me/
00:11:23:22
00:11:23:36
MY1
00:11:23:36
00:11:23:42
00:11:23:42
00:11:24:05
FRIEND7 freundin
00:11:24:05
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00:11:24:13
00:11:24:28
HEARING1B hörend
00:11:24:28
00:11:24:35
00:11:24:35
00:11:25:04