Mouth: groß
Translational equivalent: big, large
by transcript | by glosses | by right neighbours | by left neighbours
mst11 | 61+m
In an apartment building in the big city of Berlin.
r HOUSE1A ALL2A^* THERE1* BIG3C CITY2* l m haus miete großstadt
mst13 | 46-60f
I tried signing with them, but my vocabulary was quite large and theirs wasn’t.
r WORD3* TREASURE2* I2* BIG3C $INDEX1* YOU-PLURAL1A NOT-YET4A l m wortschatz [MG] noch nicht
mst13 | 46-60f
I tried signing with them, but my vocabulary was quite large and theirs wasn’t.
r $INDEX1* YOU-PLURAL1A NOT-YET4A BIG3C l m noch nicht [MG]
ber14 | 18-30m
We also watched it at a big square in Leipzig.
r AND2A* LEIPZIG1A* THERE1 BIG3C PLACE6A* THERE1* BEEN1 l m und leipzig groß platz gewesen
fra12 | 61+m
Erhard and Adenauer were with him. They stood in a big and opened Mercedes and waved to the crowd.
r TO-LIST1A $PROD CAR1 BIG3C CONVERTIBLE3 BIG3C $ORG-MERCEDES1* l m auto cabrio mercedes
fra12 | 61+m
Erhard and Adenauer were with him. They stood in a big and opened Mercedes and waved to the crowd.
r CAR1 BIG3C CONVERTIBLE3 BIG3C $ORG-MERCEDES1* $GEST-OFF1^ TO-STAND1* l m auto cabrio mercedes stehen
hb04 | 18-30f
The program was very diverse.
r BIG3C BIG3B* MUCH1A PROGRAM1B l m [MG] groß viel programm
nue09 | 18-30m
If you walked through the train station, you’d reach the big hall, yes.
r TRAIN-STATION2 INTO2 $INDEX1 BIG3C HALL1A INTO2 l YES2 m … [MG] [MG] groß
hb04 | 18-30f
Inside, the building was very huge; there were many rooms for all the talks and so on.
r BIG3C IN1* WITH1A* $INDEX1* l m groß in mit
fra08 | 18-30f
That was a big change for me.
r $INDEX1* FULL2A* BIG3C ADJUSTMENT1 $INDEX1 l m da voll große umstellung
mst02 | 18-30f
I’ve seen it once, that huge factory.
r ONCE1A $INDEX1* TO-SEE1* BIG3C $INDEX1* FACTORY2* $GEST-OFF1^ l m ein{mal} hab groß fabrik
goe03 | 46-60f
It’s really a big clan.
r BIG3C ATTENTION1* BIG3C l m groß groß
goe03 | 61+f
Yes, it’s a big clan.
r $GEST^ BIG3C $GEST-OFF1^ l m groß clan
goe03 | 46-60f
It’s really a big clan.
r BIG3C ATTENTION1* BIG3C l m groß groß
hh01 | 61+m
I said, “Well, I have to tell you, I made that salad for 24 people for the first time ever today!”
r I1* BIG3C l I1 TO-LET-KNOW1A* I1 m groß ich
mst11 | 61+m
There was a huge bunker with various floors directly next to the school.
r AFTERWARDS1A^* BIG3C BUNKER1* FLOOR1* PIPE2A^* l m [MG] groß bunker [MG] bunker
fra10 | 61+f
Yes, my father had built the shop himself; it was huge, and included a gas station.
r PAST-OR-BACK-THEN2* HAVE-AUXILIARY1 TO-BUILD1 BIG3C WORKSHOP-ROOM1 $ORAL^ TO-FUEL1 l m hat bau große werkstatt mi{t} tankstelle
hh02 | 31-45f
I think that that is too much.
r I1* MUCH1C* BIG3C I1 l m auch für mich zu groß
mue04 | 18-30m
The world is just so big.
r WORLD1 BIG3C $GEST-OFF1^ l m welt groß
stu05 | 61+m
My company is a big company. Its name is IVECO. Do you know that company?
r MY3 COMPANY1B BIG3C I1* $INDEX1 TO-KNOW-STH-OR-SB1A* l m bei mein firma groß firma
hh07 | 31-45f
One can brilliantly argue on this topic. But it’s a very broad topic anyway.
r SUBJECT1 A-WHOLE-LOT2* SUBJECT1* BIG3C SUBJECT1 $GEST-OFF1^ A-WHOLE-LOT2 l m them{a} [MG] groß thema [MG]
ber02 | 46-60m
They sell t-shirts with prints on them, for example with elephants on them, or souvenirs and other stuff.
r $INDEX1 TO-THINK1A BALL-SPHERE1B^ BIG3C l m denkmal
lei10 | 31-45m
Machines are expensive and I do not get anything.
r MACHINE1A* BIG3C EXPENSIVE1* I1 ZERO6B l m maschine [MG] null
fra13 | 46-60m
That’s why we can’t do as much as others.
r CAN2A^ BIG3C TO-MAKE1 DIFFERENT2 l I2^* NOT3A* ATTENTION1A^* m nicht groß machen wie andere
hb07 | 18-30m
Suddenly, there’s a big stone which the boy climbs onto.
r SUDDENLY4* STONE3* BIG3C* TO-WALK8* l m [MG] stein [MG] [MG]
mst14 | 18-30m
But sometimes I talk to people who come from a real big city, like Leipzig, for example.
r REALLY2 TO-COME2 $CUED-SPEECH* BIG3C* CITY2* EXAMPLE1* LEIPZIG1A* l m kommt von großstadt zum beispiel leipzig
hh04 | 46-60m
It’s a really big bike, not a small one, and a young boy is riding on that big bike.
r BIG3C* SMALL11* BIG3C* BOY1* l m [MG] [MG] [MG] jung
hh04 | 46-60m
It’s a really big bike, not a small one, and a young boy is riding on that big bike.
r BIG3C* SMALL11* BIG3C* BOY1* SMALL3* BIG3C* l m [MG] [MG] [MG] jung [MG] groß
hh04 | 46-60m
It’s a really big bike, not a small one, and a young boy is riding on that big bike.
r BIG3C* BOY1* SMALL3* BIG3C* l m [MG] jung [MG] groß
hh04 | 46-60m
He awkwardly gets off his enormous bike, which he puts down on its side.
r $PROD BIG3C* $PROD TO-FALL3* $GEST-DECLINE1^* l m [MG] auf [MG] [MG]
hh04 | 46-60m
So we decided to get a house, but it couldn’t be too big because I didn't want that.
r BIG9 I2 RELUCTANT1* BIG3C* l m groß [MG] groß
koe15 | 31-45m
Well, I would show you everything from the village to the big city.
r TO-LEAD1A* VILLAGE3 UNTIL1 BIG3C* CITY2 $GEST-OFF1^* l m [MG] dorf bis großstadt
goe10 | 46-60m
That’s where I started to become interested in the topic, and that’s why I know some things about it.
r $INDEX1 BEGINNING1A* AIM2 BIG3C* TO-KNOW-STH2B $GEST-DECLINE1^ l $INDEX1 m weiß
hh04 | 46-60m
The usage won't fluctuate much anymore; it'll probably stay the same.
r IF-OR-WHEN1A* BIG3C* ALSO1A* MEASURE5 MIDDLE2B l m groß auch klein mitte
hh04 | 46-60m
For instance, I don't have a big backyard.
r ALSO1A I2 GARDEN2* BIG3C* l m auch garten groß
koe01 | 18-30f
There are tiny kangaroos and then there are really big ones. There are so many differences.
r MEASURE8A^* BIG3C* DIFFERENCE1B^* l m [MG] [MG]
