by transcript | by glosses | by right neighbours | by left neighbours
mue10 | 31-45m
I started collecting cars, and always showed her which ones I wanted to get.
r TO-COLLECT3 CAR1 RIVER1^ TO-LET-KNOW1A* $INDEX1* l m sammeln auto will will
koe15 | 31-45f
Then there was another poll and the Ruhr region won.
r MAIN1A^ $INDEX1 $ALPHA1:R RIVER1^ l m ruhr
fra09 | 31-45m
Well, in the Rhein-Neckar area [northwest Germany] near the cities Mannheim, Heidelberg, Ludwigshafen and Karlsruhe.
r $ALPHA1:N RIVER1^ ROOM1B* TO-BE-CALLED4* l $LIST1:1of1d* m neckarraum heißt
mvp03 | 18-30f
There had been a meeting point for the firefighters next to 'Ground Zero’.
r MAIN1A^ $ALPHA1:W-T-C* PIPE2B^* NEXT-TO1A* l NEXT-TO1A* RIVER1^ m [MG] neben straße w-t-c neben
sh08 | 46-60m
You know Kappeln, going along the Schlei river from Schleswig.
r SCHLESWIG1* $PROD FROM8* RIVER1^ FROM-TO3* l m schleswig kappeln aus schlei
koe13 | 61+f
I teach in Aachen, Erftstadt, Düren and sometimes in Cologne.
r ALWAYS4A* l AACHEN2 $INDEX1 RIVER1^ $INDEX1 $NAME* $INDEX1 m immer aachen erftstadt düren
stu07 | 46-60m
Bad Kreuznach is to have a university.
r $INDEX1 $ALPHA1:K $INDEX1 RIVER1^ $INDEX1 TO-COME1 UNIVERSITY1 l m … komm uni
lei14 | 31-45m
There is Reitzenhain, just below Marienberg.
r TO-RAKE1A^* RIVER1^ $ALPHA1:R* TO-RAKE1A^* $ALPHA1:Y-N l $INDEX1 $ALPHA1:R $INDEX1 m reitz{en}ha{in} reit{zen}hain
ber02 | 46-60m
At the beach? No, just on the street on the right side.
r CLOSE-BY1^* RIVER1^ NO1A STREET1B STORE1* l m am strand straße geschäft
mue10 | 31-45m
Is that the sign?
r TO-SIGN1A RIVER1^ l m
goe06 | 31-45f
You know that they have these parades in North Rhine-Westphalia, in Mainz, Cologne, and so on.
r TO-KNOW-STH2A NORTH-RHINE-WESTPHALIA1 MOST1B RIVER1^ $GEST-OFF1^* COLOGNE4B* AND-SO-ON2* l $INDEX1 m … nord{rhein}-westfalen meist{ens} mainz köln
stu12 | 46-60f
Near the Hamburg harbor.
r HAMBURG2* CLOSE-BY1B RIVER1^ CLOSE-BY1B l m hamburg hafen hafen
koe15 | 31-45f
And towards the Rhine where it was really windy.
r CLOSE-BY1A* WATER1* $PROD $INDEX1 INTEREST1B l RIVER1^ m nah wasser [MG]
koe15 | 31-45f
There are meadows and a forest. You can use the bridge to cross the river. That's where I went for a walk.
r MEADOW1A FOREST2A* $PROD RIVER1^ BRIDGE1A TO-GO-FOR-A-WALK1* MOST1A* l m wiese wald wasser brücke spazieren meist
lei11 | 31-45f
I think they have a stream called Mulde there or Muldental or Pethauer Teich.
r RIVER1^ $ALPHA1:M-U-L-D-E OR6B* $ALPHA1:M l m mulde oder muldetal
lei11 | 31-45f
I think they have a stream called Mulde there or Muldental or Pethauer Teich.
r $ALPHA1:M-U-L-D-E OR6B* $ALPHA1:M RIVER1^ OR4A* $ALPHA1:P* $GEST-OFF1^ l m … oder muldetal mulde oder pe{thauer teich}
mue07 | 31-45m
Everyone loves the Alps and goes on trips to the mountains.
r MOUNTAIN1A l ALL1A* TO-LOVE-STH1 RIVER1^ m alle [MG] berg [MG]
mue07 | 18-30m
Right, there are so many curves.
r YES2 RIVER1^ YES1A l m stimmt kurve
koe06 | 46-60f
We lived in a quite remote village called Mausbach.
r UNDER1B^* RIVER1^* $GEST-OFF1^* $INDEX1* $GEST-OFF1^* l VILLAGE3* m mausbach
lei09 | 31-45f
The “Kornhaus” [restaurant] is situated directly on the banks of the Elbe.
r $INDEX1 $GEST-NM-SHAKE-HEAD1^ HOUSE1A^* RIVER1^* l $INDEX1 $GEST-TO-PONDER1^ m
hh08 | 31-45f
It was my son who explained to me that the well isn’t right there, but a bit further away.
r TO-EXPLAIN1* TO-SAY1 $INDEX1 RIVER1^* CLOSE-BY1A AREA1B NO1A l m erklär sagt quelle [MG] bismarck
stu15 | 61+f
One could observe that he was processing everything while playing.
r TO-SEE1^ $INDEX1* TO-PLAY2 RIVER1^* TO-KNOW-STH2B^ ROUND-EYE1^* TO-KNOW-STH2B^* l m spiel
mue10 | 61+m
Yes, because of the three rivers, Danube, Günz and Nau.
r $LIST1:2of2d GÜNZBURG1* $LIST1:3of3d RIVER1^* $ALPHA1:N-A-U* l m … günz nau
stu12 | 46-60f
Ah okay, near the harbor.
r $ORAL^ l RIVER1^* m am hafen
Mouth: bach
Translational equivalent: brook
by transcript | by glosses | by right neighbours | by left neighbours
sh08 | 46-60m
The woods, sea, hills, streams.
r FOREST3A OCEAN1A* $PROD BROOK1 l m wa{ld} am meer bach
mue03 | 46-60m
Sometimes on the weekends I went swimming in the stream with my brother.
r TO-GO-THERE1* BROTHER1A* PRESENT-OR-HERE1 BROOK1* TO-SWIM1* l m … bruder da bach schwimmen
stu04 | 61+m
Back in the days, there was a meadow close by the creek, one for cows and another for sheep, and you could also swim across the Rhine.
r PAST-OR-BACK-THEN1 BROOK1* PLANE3B^* $LIST1:2of2d COW1* l m früher bach weide kuhweide
mue07 | 18-30m
In the English garden, one can go surfing in the Eisbach [lit.: ice brook; man-made river]. That’s really famous.
r $INDEX1 WELL-KNOWN1A ICE8 BROOK1* $INDEX1 l m … bekannt eisbach
mue07 | 31-45m
Yes, one can surf in the Eisbach.
r $INDEX1 HORSE5^* l YES1A ICE8 BROOK1* WAVE1 m eisbach wellenreiten
Mouth: elbe
Translational equivalent: Elbe
by transcript | by glosses | by right neighbours | by left neighbours
lei09 | 31-45f
I worked as a cleaning lady at the restaurant ‘Kornhaus’. It’s right on the banks of the Elbe.
r RESTAURANT1 WITH2 ELBE-RIVER1 NARROW1A^* l $ALPHA1:K-O-R-N-H-A-U-S m restaurant kornhaus elbe
hh08 | 46-60f
Always going straight ahead, until you reach the river Elbe.
r STRAIGHT-AHEAD1* l UNTIL1* $GEST-OFF1^* ELBE-RIVER1 m bis elbe
koe22 | 31-45m
There was this big flood around the river Elbe in 2002.
r AIM2^ $INDEX1 $GEST-TO-PONDER1^ ELBE-RIVER1 WAS1* $NUM-THOUSANDS1:2 $NUM-ONE-TO-TEN1B:2* l m elbe war zweitausendzwei
lei09 | 31-45f
The “Kornhaus” [restaurant] is situated directly on the banks of the Elbe.
r $ALPHA1:K-O OUTDOORS1B^ ELBE-RIVER1 $ALPHA1:K-O-R-N-H-A-U-S $INDEX1 $GEST-NM-SHAKE-HEAD1^ l $INDEX1 m korn{haus} elbe kornhaus
lei11 | 31-45f
Then they also have the Elbe where many of the large steamboats navigate.
r $GEST-OFF1^ ELBE-RIVER1 $GEST-OFF1^* MORE1 SHIP1 l m elbe mehr
lei11 | 31-45f
The River Elbe in Saxony/
r ELBE-RIVER1 ACTUALLY1B* ELBE-RIVER1 $ALPHA1:S l m elbe eige{ntlich} elbe sachsen
lei11 | 31-45f
The River Elbe in Saxony/
r ELBE-RIVER1 ACTUALLY1B* ELBE-RIVER1 $ALPHA1:S l m elbe eige{ntlich} elbe sachsen
sh08 | 46-60m
Old/ Along the Elbe-Lübeck-Canal.
r OLD5A* ELBE-RIVER1 LÜBECK1A CHANNEL1* l m a{lt} elbe lübeck kana{l}
hh02 | 31-45f
The Elbe has also tilted sides, doesn’t it?
r ELBE-RIVER1* $INDEX1* $PROD $PROD l m elbe [MG]
hb08 | 61+m
On the one side there was water - that was the river Elbe.
r ELBE-RIVER1* OFF-OR-TO-REMOVE-STH1B* l FLAP1A^* m elbe
koe22 | 46-60m
I don't know what the region around the Elbe looks like.
r AREA1A* $NUM-ONE-TO-TEN1A:2d LATER1^ ELBE-RIVER1* $GEST-OFF1^* I2 NO-CLUE1 l m elbe [MG]
sh06 | 46-60f
The water kept rising along the course of the Elbe.
r TO-RISE4^* ELBE-RIVER1* TO-RISE4^* l m mehr mehr mehr mehr mehr elbe mehr mehr
hh08 | 46-60f
If the weather is nice, you can have a rest at the Elbe.
r BEAUTIFUL5 $ORAL^ TO-LIE-LEG1A* l ELBE-RIVER1* m schönes wetter elbe [MG]
Mouth: main
Translational equivalent: Main (river in Germany)
by transcript | by glosses | by right neighbours | by left neighbours
nue01 | 61+m
What about the White and Red Main?
r $INDEX1 WHITE1B $ALPHA1:M MAIN1 $INDEX1* MOUTH2^* MAIN1 l m und auch weiße main rote main
nue01 | 61+m
What about the White and Red Main?
r MAIN1 $INDEX1* MOUTH2^* MAIN1 l m … rote main
nue01 | 61+m
The Red Main flows there as well but not in Selb.
r MAIN1 I1 $GEST-OFF1^* $GEST-OFF1^ l m bei roter main selb
nue01 | 61+m
The White and the Red Main merge together as one river. They become the River Main.
r $PROD $PROD THEN1A MAIN1 l m … roter main [MG] dann main
nue01 | 61+m
And then the River Main flows into the River Rhine.
r MAIN1 $PROD l m main rhein
nue01 | 61+m
Everybody comes to Würzburg to take a bath in the Main. Priests, bishops, they all take a bath in the Main, or a shower [laughs].
r ALL1A* WHAT2* TO-SWEAT1B^* MAIN1* TO-THROW1^* TO-PRAY1B^ TO-PRAY1B^ l m alle duschen im main pfarrer bischof
nue01 | 61+m
They have built a wall to control the flood alongside the River Main.
r TO-GIVE2 TO-BUILD1* WHAT1A* WITH1B HIGH5 PROTECTION1A l MAIN1* m gibt bauen was main mit hochwasserschutzmauer
Mouth: neckargemünd
Translational equivalent: Neckargemünd
by transcript | by glosses | by right neighbours | by left neighbours
ber04 | 46-60m
In Neckargemünd close to Heidelberg.
r TO-SAY1 NECKARGEMÜND1 $ALPHA1:G $CUED-SPEECH^* NEAR1C l m neckargemünd bei
stu02 | 18-30f
I went to a Hauptschule [school for lower secondary education].
r PERIOD1B NECKARGEMÜND1 SCHOOL1A* TO-GO-THERE1* l m neckargemünd schule
stu02 | 18-30f
Neckargemünd, that's right.
r NECKARGEMÜND1 YES1A* l m neckargemünd
stu05 | 61+m
I went to school in Neckargemünd near Heidelberg.
r I1* SCHOOL2B HEIDELBERG2* NECKARGEMÜND1 NEAR1C HEIDELBERG2 $$EXTRA-LING-ACT^ l m ich schule h{eidelberg} neckargemünd bei heidelberg
stu12 | 46-60f
I moved to Neckargemünd, to the vocational school there, the boarding school.
r NECKARGEMÜND1 NECKARGEMÜND1 SCHOOL2H* SCHOOL2H* l m neckargemünd neckargemünd berufsschule schule
stu12 | 46-60f
I moved to Neckargemünd, to the vocational school there, the boarding school.
r NECKARGEMÜND1 NECKARGEMÜND1 SCHOOL2H* SCHOOL2H* BOARDING-SCHOOL1B l m neckargemünd neckargemünd berufsschule schule internat
stu02 | 18-30f
Through the school in Neckargemünd I got to know sign language. Everyone was signing there, and I adopted it.
r $GEST-OFF1^* THROUGH2A* $INDEX1* NECKARGEMÜND1* $INDEX1* MORE1* TO-SIGN1A* l m durch neckargemünd mehr
Mouth: rhein
Translational equivalent: Rhine (river)
by transcript | by glosses | by right neighbours | by left neighbours
fra09 | 31-45m
It's quite different in the Rhein-Neckar/
r DIFFERENT1* $INDEX1* $GEST^ RHINE-RIVER1 $ALPHA1:N* l m andere [MG] rhein
koe22 | 46-60m
To be more specific in the Old Town, a little off the river Rhine.
r OLD3 CITY2 $INDEX1* RHINE-RIVER1 NEXT-TO1A* l m altstadt rhein
koe15 | 31-45f
I don't know where it was exactly; there were some meadows and a river, maybe the Rhine.
r $INDEX1 PARALLEL1A^* OR1* RHINE-RIVER1 APPROXIMATELY1^ l m … fluss oder rhein
fra13 | 46-60m
And the treasure of the Nibelungs is supposedly sunk in the river Rhine.
r TO-GIVE1A^* l AND5* IN1 RHINE-RIVER1* SHOULD1 $ALPHA1:N-N-N m und im rhein soll nibelungenschatz
stu04 | 61+m
Now wait, it was the Rhine.
r $GEST-NM-SHAKE-HEAD1^ $GEST-DECLINE1^* RHINE-RIVER1* TO-JUMP2^ l m [MG] rhein rhein
fra13 | 61+m
One sees the Rhine directly in front, ah, no, the Neckar.
r RHINE-RIVER1* $GEST-NM-SHAKE-HEAD1^ NECKAR1* l m rhein neckar
fra13 | 46-60m
Or especially the Rhine region/
r l MAINLY1B* RHINE-RIVER1* TERRITORY1* m vor allem rheingebiet
stu04 | 61+m
Back in the days, there was a meadow close by the creek, one for cows and another for sheep, and you could also swim across the Rhine.
r SHEEP-$CANDIDATE-STU63^ AREA1D^* OVER-OR-ABOUT1 RHINE-RIVER1* $GEST-OFF1^ l m schafweide über rhein
fra13 | 46-60m
So Friesenheim, Oppau, Oggersheim and Rheingönheim were included.
r $LIST1:3of3d $NAME $LIST1:4of4d RHINE-RIVER1* AREA1A* TOGETHER7 l TO-SWALLOW1* m oggersheim rheingönheim [MG] verschluckt
koe15 | 31-45f
In Düsseldorf the historical part is right next to the Rhine.
r OLD8B CITY2 ALSO3A* RHINE-RIVER1* CLOSE-BY1B* AREA1A^* l m altstadt auch rhein
Mouth: fluss
Translational equivalent: river
by transcript | by glosses | by right neighbours | by left neighbours
goe05 | 46-60m
It's just that a nuclear power plant always needs to have a river or an ocean close by.
r MUST1 TO-HAVE-TO-OWN1 CLOSE-BY1B RIVER1 OR1* OCEAN1A l m muss haben nah fluss oder meer
goe05 | 46-60m
In Germany, water from power plants must first be purified before it is discharged into the river.
r GERMAN1* $INDEX1 NONE1* RIVER1 MUST1A^ WATER7B OFF1B^* l m deutschland fluss wasser
hb06 | 31-45f
I think it was in 1979/1980 that the water of a river was rising so much that it caused flooding.
r BETWEEN1B* $INDEX1 SUDDENLY4* RIVER1 HIGH1^* $GEST-TO-PONDER1^* WATER1* l m [MG] fluss hochhaus hochwasser
fra05 | 46-60m
(Not really, but a few things in the city, mostly the Nile.)
r MOST1A $INDEX1 ON-OR-AT1* RIVER1 $INDEX1 l m m{eistens} am nil
koe22 | 46-60m
So we had the flood in Germany and much later, I don't remember when, was another flood in Frankfurt/Oder.
r RIVER1* RIVER1 $INDEX1* FRANKFURT1* OR1* l m [MG] frankfurt oder
ber14 | 18-30m
That was the Elbe. There was once a flood in Magdeburg and Dresden.
r MAGDEBURG1* THERE1 DRESDEN1* RIVER1 $ALPHA1:E-L-E FLOODWATERS1 l m … dresden elbe hochwasser
nue01 | 61+m
If there was a river, so that water could condense, then maybe, but there is none.
r RIVER1 $INDEX1* RIVER1 MOIST2 l m fluss fluss feuchtigkeit
nue01 | 61+m
If there was a river, so that water could condense, then maybe, but there is none.
r RIVER1 $INDEX1* RIVER1 MOIST2 $PROD NONE3* l m fluss fluss feuchtigkeit
mst04 | 31-45m
Exactly, the Danube is there.
r $GEST-NM-NOD-HEAD1^ RIVER1 l m fluss
goe02 | 61+m
A path leads to a river and past the riverside on the left.
r TO-GO2A RIVER1* LEFT1 l LEFT3 m [MG] fluss
koe22 | 31-45m
It is, but we also have a river down in the valley.
r MY3 AT-HOME1A MY1* RIVER1* PRESENT-OR-HERE1 l m mein fluss da
hb04 | 18-30f
The youth center was near a river.
r HOME1A $INDEX1 $ORAL^ RIVER1* l m … an einem fluss
hb08 | 61+m
Afterwards, we went to the mountains, because there was a river close to Italy. That was fun.
r MOST1A CLOSE-BY1B* ITALY1* RIVER1* TO-LOOK-AT3* FUN1^ l m meist nahe italien fluss [MG]
nue01 | 61+m
The River Main passes three cities: Schweinfurt, Würzburg and Aschaffenburg.
r $NUM-ONE-TO-TEN1A:3d $CUED-SPEECH* CORNER1* RIVER1* $ALPHA1:SCH LOCATION1A^* LOCATION1A^* l m drei-main-eck [MG] schweinfurt würzburg
koe22 | 46-60m
So we had the flood in Germany and much later, I don't remember when, was another flood in Frankfurt/Oder.
r RIVER1* RIVER1 $INDEX1* FRANKFURT1* l m [MG] frankfurt
ber12 | 31-45f
And the Spree, because there are many possible ways to go for a walk along the Spree.
r RIVER1* WHY2A* RIVER1* MUCH1C* l m spree warum spree viel
ber12 | 31-45f
And the Spree, because there are many possible ways to go for a walk along the Spree.
r RIVER1* WHY2A* RIVER1* MUCH1C* POSSIBLE1* $INDEX1* l m spree warum spree viel möglichkeit lauf lauf lauf
ber12 | 31-45f
There is this one house by the Spree, but I don’t know what it is called exactly.
r $GEST-TO-PONDER1^ TO-BELIEVE2A* HOUSE1A RIVER1* TO-BE-CALLED1A l m [MG] glaube haus am spree wie heißt das
ber14 | 18-30m
That was the Elbe. There was once a flood in Magdeburg and Dresden.
r $ALPHA1:E-L-B-E RIVER1* PAST-OR-BACK-THEN1* THERE1* MAGDEBURG1* l m elbe früher magdeburg
ber12 | 31-45f
Ah okay. Yes, it is located at the Spree.
r $GEST-NM^ RIVER1* RIGHT-OR-AGREED1B l m stimmt
stu04 | 61+m
I was really happy about it because it was close to the city and there were so many possibilities to take a walk, for example along the river Wutach.
r MUCH1C* MOVEMENT1A^* TO-GO1A* RIVER1* RIVER1* PARALLEL1A^* l m viel spazieren am wutach wutach flu{ss}
stu04 | 61+m
I was really happy about it because it was close to the city and there were so many possibilities to take a walk, for example along the river Wutach.
r MOVEMENT1A^* TO-GO1A* RIVER1* RIVER1* PARALLEL1A^* l m spazieren am wutach wutach flu{ss}
ber14 | 18-30m
It was a close call for me because my house is only ten kilometers away from the river.
r DISTANCE-OR-RANGE1* $NUM-ONE-TO-TEN1A:10 KILOMETRE1* RIVER1* l m [MG] zehn kilome{ter} fluss
hh08 | 46-60f
Munich also has a river running through the city, but that’s different.
r $GEST-DECLINE1^ DIFFERENT1* l MUNICH1A* RIVER1* m münchen fluss was and{ers}
mue05 | 46-60m
After all, they have three rivers joining which benefits a fast rise of the water.
r $INDEX1* TO-HAVE-TO-OWN1* $NUM-ONE-TO-TEN1A:3d RIVER1* $PROD $PROD FAST3A* l m … hat drei flüsse [MG] [MG] schnell
hb01 | 31-45m
There you can bike along the Weser, wait no, along the Wümme northwards from Bremen-Horn all the way to Ritterhude.
r $PROD VERY7^* EXHAUSTING5 RIVER1* $ALPHA1:W-U-NN-E $PROD $PROD l m [MG] weser wümme
hh08 | 46-60f
And this is supposed to be the source the Alster comes from.
r SOURCE1C $ORAL^ l SOURCE1A RIVER1* m erste wasser dann fluss
hh08 | 46-60f
Rainfall helped form some arms of the river that all led to the Alster and filled it.
r $INDEX1* RAIN2A* THROUGH2A* RIVER1* UNTIL1* $PROD l m wie regen durch fluss bis alster
mue10 | 61+m
Yes, because of the three rivers, Danube, Günz and Nau.
r I1^ RIVER1* $LIST1:1of1d $NUM-ONE-TO-TEN1A:3d l BECAUSE1 m weil drei
mst04 | 31-45m
Yes, the Danube is there.
r $GEST-NM-NOD-HEAD1^ RIVER1* l m fluss
mst04 | 31-45m
They carefully crept through the train, opened the window, climbed through and saw the river right next to them.
r TO-OPEN-WINDOW1* TO-GO2B* WATER5* l RIVER1* m [MG] wasser
