DOI: /10.25592/dgs.corpus-3.0-type-13233

BEAK1^


frontal
45°
90°
from above
BEAK1^
Bremen | dgskorpus_hb_08 | 61+m   The one with the beard, Ulbricht, was gone.
rBEAK1^BEARD3^*OVER2B^
l
mulbricht[MG]weg
Leipzig | dgskorpus_lei_11 | 31-45f   It’s named “Storchennest” [stork’s nest]. Yes, that’s right, it’s called “Storchennest”.
rBEAK1^NEST1
lHEADING1^*BEAK1^
mstorchenneststorchennest
Leipzig | dgskorpus_lei_11 | 31-45f   It’s named “Storchennest” [stork’s nest]. Yes, that’s right, it’s called “Storchennest”.
rBEAK1^NEST1NEST1
lHEADING1^*BEAK1^TO-SLIDE-OR-TO-PUSH2^*YES2
mstorchenneststorchennest
Münster | dgskorpus_mst_04 | 31-45m   It is different nowadays; you see more squabblers.
rAGAINST3A^AGAINST3A^*TO-ARGUE3*$GEST-OFF^
lBEAK1^
m[MG][MG]streithahn
München (Munich) | dgskorpus_mue_03 | 46-60m   Just sometimes I had to hear something, but my hearing was pretty good back then.
rONLY2A*BEAK1^I1MUST1*TO-LISTEN1*
l
mnurmanchmalmusszuhören
Schleswig-Holstein | dgskorpus_sh_08 | 46-60m   There’s the Schwansener See [Schwansener Lake].
rBEAK1^LAKE6BEAK1^NOTHING1B^*
l
mschwansen{er} seeschwansen{er} see
Schleswig-Holstein | dgskorpus_sh_08 | 46-60m   There’s the Schwansener See [Schwansener Lake].
rBEAK1^LAKE6BEAK1^NOTHING1B^*
l
mschwansen{er} seeschwansen{er} see
Schleswig-Holstein | dgskorpus_sh_08 | 46-60m   It’s called Schwansener See.
rMEAN-OR-BE-CALLED4*BEAK1^$GEST^
l
mheißtschwansener see
Frankfurt | dgskorpus_fra_05 | 46-60m   It was the same when traveling with Peter Scheifele. We told them in advance, and then we still had to worry about it. It was such a struggle.
rLIKE3A*BEAK1^*$INDEX1ALREADY1AINFORMATION1*
l
mwiepeter scheifeleschoninfo{rmation}
Bremen | dgskorpus_hb_08 | 61+m   No, Ul/
rBEAK1^*
l
mul{bricht}
Köln (Cologne) | dgskorpus_koe_01 | 18-30f   There are so many different animals in Australia, for example parrots, but you've been to Australia, so you already know that.
r$INDEX1AUSTRALIA1*WEIRD1BEAK1^*YOU1^BEEN1TO-JUMP2^*
l
maustra{lien}[MG]papageigewesenauch
Köln (Cologne) | dgskorpus_koe_01 | 18-30f   There are many parrots living in the wild just like regular birds.
rBEAK1^*FREE2AUSUAL1BIRD2
l
mpapageifreinormalvogel
Köln (Cologne) | dgskorpus_koe_01 | 18-30f   There a so many different kinds of parrots living out in the wild in all colors imaginable.
rDISTINCT1*BEAK1^*$INDEX1*EVERYTHING-FEASIBLE1*COLOUR1B*
l
mverschiedenepapageien[MG]farbe
Leipzig | dgskorpus_lei_11 | 31-45f   Duck.
r
lYOU1BEAK1^*DUCK2TO-BELONG1^DUCK2
mente
München (Munich) | dgskorpus_mue_10 | 31-45m   One can only see the open mouth, but with its voice it says ‘meow‘.
r$GEST-NM^VOICE1*BEAK1^*
l
m[MG]stimme
= BIRD1
Berlin | dgskorpus_ber_09 | 18-30f   The little bird confidently stands beside the grandmother and shouts as well.
rTHEN1ABIRD1TO-STAND1TO-RANT3A$PROD
l
mdannvogel[MG][MG]
Göttingen | dgskorpus_goe_07 | 18-30m   I thought, the wind turbines are so strong that a bird cannot destroy it.
rTO-THINK1A$INDEX1*STRONG1B*BIRD1CAN1WEAK4*$INDEX2
l
mdenken[MG]vogelkann[MG]
Bremen | dgskorpus_hb_06 | 31-45f   They realized it earlier. Birds did, too. Birds, too.
rBEFORE2TO-LET-KNOW1A*FEELING3BIRD1ALSO3ABIRD1YOU1*
l
mvorauchdu
Bremen | dgskorpus_hb_06 | 31-45f   They realized it earlier. Birds did, too. Birds, too.
rFEELING3BIRD1ALSO3ABIRD1YOU1*
l
mauchdu
Bremen | dgskorpus_hb_07 | 18-30m   The owl is still pecking at him, how annoying.
rBIRD1$PRODANNOYING1
l
mvo{gel}[MG][MG]
Bremen | dgskorpus_hb_07 | 18-30m   He climbs it and sees a bird, an owl, sitting inside a hole in the tree up there.
r$ALPHA1:H*$INDEX1TYPICAL1*BIRD1BIRD2*UNDER1A^$ALPHA1:H-E-L
l
meu{le}typischvogeleule
Köln (Cologne) | dgskorpus_koe_21 | 61+m   You know that cat and that yellow bird.
rTO-KNOW-STH-OR-SB1ACAT3YELLOW21*BIRD1
l
mkennkatzegelbvogel
Köln (Cologne) | dgskorpus_koe_21 | 61+m   As it looks up, it notices a bird cage.
rTO-LOOK-AT1*THERE1BIRD1CAGE3*
l
mvogelkäfig
Köln (Cologne) | dgskorpus_koe_21 | 61+m   In it, there’s a yellow bird.
rBIRD1YELLOW21*$INDEX1
l
mvogelgelb
Köln (Cologne) | dgskorpus_koe_21 | 61+m   The bird is also looking through binoculars.
rALSO1A*BIRD1SELF2*ALSO1ABINOCULARS1*
l
mvogelselbstauch
Köln (Cologne) | dgskorpus_koe_21 | 61+m   Right, so the cat grabs the suitcase and the bird cage.
rSUITCASE1*$ORAL^CAGE3*BIRD1CAGE3*$PROD
l
mkofferundvogelkäfig
Berlin | dgskorpus_ber_09 | 18-30f   Then the bird swings happily back and forth in its cage.
rCAGE2*SWING1*
lTHEN1ABIRD1*$INDEX1
m[MG][MG]
Berlin | dgskorpus_ber_09 | 18-30f   On the window, it says “bird observation”.
rWHAT1B*$INDEX1TO-SAY1*BIRD1*TO-LOOK-AFTER-SB1A*AREA1B*$INDEX1
l
msagtvogelauf{passen}
Berlin | dgskorpus_ber_09 | 18-30f   The terrified bird watches from above.
r
l$INDEX1BIRD1*$INDEX1*
mvogel[MG]
Berlin | dgskorpus_ber_09 | 18-30f   The bird keeps on swinging happily.
rBIRD1*SWING1*
l
m[MG]
Berlin | dgskorpus_ber_09 | 18-30f   Towards the top there is a window with a bird in a cage.
rWINDOW6TO-OWN1$INDEX1*BIRD1*CAGE2*
l
mfenster[MG]vogelkäfig
Berlin | dgskorpus_ber_09 | 18-30f   On the other side, the small bird also looks through a pair of binoculars.
rTO-CHANGE6ALSO1ASMALL2BIRD1*BINOCULARS1*
l
mauch[MG]
Berlin | dgskorpus_ber_09 | 18-30f   The bird jumps to the side and the cat looks around confused with its flat head.
rBIRD1*$PROD
l
mvogel
Berlin | dgskorpus_ber_09 | 18-30f   The little bird watches everything from above.
r
lBIRD1*$INDEX1
m
Berlin | dgskorpus_ber_09 | 18-30f   The bird is steering the streetcar.
rBIRD1*$PROD
l
m[MG]
Berlin | dgskorpus_ber_09 | 18-30f   The cat lifts up curtains and looks for the bird all the while imitating the monkey again.
r$PRODWHERE1ABIRD1*$GEST^*MONKEY1*$PROD
l
mwovogel[MG]
Frankfurt | dgskorpus_fra_12 | 61+m   I didn't see the stork, though.
rATTENTION1A^BIRD1*I1*RIGHT-OR-AGREED1A*TO-SEE1
l
mklapperstorchstimmt nichtgesehen
Köln (Cologne) | dgskorpus_koe_21 | 61+m   The bird sees what the cat is doing and throws a bowling ball into the top of the pipe.
rBIRD1*TO-SEE1*$GEST-DECLINE1^*BOWLING3*
l
mvogel[MG]bowling
Köln (Cologne) | dgskorpus_koe_21 | 61+m   The bird is swinging back and forth, happily whistling.
rBIRD1*SILENCE1TO-HOLD-ON4*SWING2*
l
mvogelruhig[MG]
Köln (Cologne) | dgskorpus_koe_21 | 61+m   It grabs the bird, which can only watch as everything in happening, in midair.
rBIRD1*TO-LOOK1*COINCIDENCE1*$INDEX1
l
mvogelschauenzufall
Köln (Cologne) | dgskorpus_koe_21 | 61+m   The bird flutters away and disappears.
rOVER-AND-DONE1*BIRD1*$PRODFLY1AWAY1*
l
mausvogel[MG][MG][MG]
Köln (Cologne) | dgskorpus_koe_21 | 61+m   It grabs the cage and runs down the stairs with it.
r$PRODBIRD1*CAGE3*$PRODTO-GO2A*
l
mvogelkäfig[MG]
Köln (Cologne) | dgskorpus_koe_21 | 61+m   Inside the street car is the bird, wearing a hat and controlling the street car.
rDOWN1STREETCAR1*BIRD1*SELF1A*CAP1TO-CRANK1A^*
l
mstraßenbahnvogelselbstkappe[MG]
Leipzig | dgskorpus_lei_05 | 61+f   My two kids always wanted a budgie and got one.
rCHILD2*TO-WISH1A*GLADLY1BIRD1*PARROT1^*$GEST-NM-NOD-HEAD1^
l
mkinderwünschengernvogelwellensittich[MG]
Rostock | dgskorpus_mvp_07 | 31-45f   What kind of meat? Pork?
rMEAT11*BIRD1*PIG2*$GEST-OFF^*$LIST1:2of2d*
l
mwas fleischschwein
Stuttgart | dgskorpus_stu_07 | 46-60m   The cat is sitting in its apartment and is drawing up a complicated plan on how to capture the bird.
rARCHITECT1^*CROSSHAIRS1^*AIM2^BIRD1*TO-CATCH1*
l
mposition[MG][MG]
Stuttgart | dgskorpus_stu_07 | 46-60m   It’s looking around with binoculars and suddenly notices a bird in a cage in a house on the opposite side.
rBEHIND1^*$INDEX1ALSO1ABIRD1*CAGE2
l
m[MG]auchvogelkäfig
Stuttgart | dgskorpus_stu_07 | 46-60m   The bird doesn’t realize anything.
r$INDEX1TO-MEMORISE1*BIRD1*TO-MEMORISE1NOT5
l
mvogelmerken
Stuttgart | dgskorpus_stu_07 | 46-60m   The bird observes this from the opposite side and thinks, “This cat is just impossible!”
r$INDEX1BIRD1*TO-LOOK-AT3POSSIBLE1*ON-PERSON1
l
m[MG]unmöglich
Stuttgart | dgskorpus_stu_07 | 46-60m   The cat, no, the bird watches from upstairs.
rTO-LOOK-AT3$GEST-DECLINE1^*ABOVE1BIRD1*TO-LOOK-AT3
l
moben
Stuttgart | dgskorpus_stu_07 | 46-60m   How can it catch this bird?
rHOW-QUESTION1*$INDEX1BIRD1*TO-ACCOMPLISH1C^
l
mwievogel[MG]
Stuttgart | dgskorpus_stu_07 | 46-60m   Suddenly, one can see who is driving the streetcar: it’s the little bird.
rDOWN1WHAT1A*TO-MAKE1BIRD1*AS-OR-THAN3STREETCAR4TO-LEAD1A
l
muntenwasmachtvogelalsstraßenbahnführer
= CHICKEN3
Göttingen | dgskorpus_goe_06 | 31-45f   You can see chickens, roosters, fish, dogs and bunnies.
r$INDEX1$GEST^CHICKEN3$INDEX1OR4A*COCK3
l$NUM-ONE-TO-TEN1A:1d$NUM-ONE-TO-TEN1A:2d*
mhuhnhahn
Leipzig | dgskorpus_lei_11 | 31-45f   No, after that. We have chicken, yes, chicken.
rAFTER3ABEFOREHAND2*CHICKEN3NOT3ACHICKEN3
lRIGHT-OR-AGREED1A
mnachhühnerhuhn
Leipzig | dgskorpus_lei_11 | 31-45f   No, after that. We have chicken, yes, chicken.
rBEFOREHAND2*CHICKEN3NOT3ACHICKEN3
lRIGHT-OR-AGREED1ACHICKEN3
mhühnerhuhnhahn
Leipzig | dgskorpus_lei_11 | 31-45f   Chicken? or duck?
rCHICKEN3OR1*DUCK2
l
mhuhnoderente
Leipzig | dgskorpus_lei_11 | 31-45f   No, after that. We have chicken, yes, chicken.
rNOT3ACHICKEN3
lRIGHT-OR-AGREED1ACHICKEN3
mhuhnhahn
Münster | dgskorpus_mst_06 | 31-45m   It’s being said that it just tastes like chicken or frog, ugh.
rFEELING3^*$INDEX1LIKE3ACHICKEN3LIKE4A*FROG1C$GEST-OFF^
l
mwiehuhnwiefrosch
München (Munich) | dgskorpus_mue_10 | 31-45m   The families had chicken, too. My mother had three geese, and another family that lived next to us had some cats.
rTO-HAVE-TO-OWN1*ALSO1A*PRESENT-OR-HERE1*CHICKEN3$INDEX2$LIST1:2of2d*MY1*
l
mhatauch[MG]hühnermein
Rostock | dgskorpus_mvp_07 | 31-45f   Dead chickens were hanging headfirst from the ceiling and they passed me on an assembly belt.
rCHICKEN3DEATH1$PROD$PROD
l
mhühntot
Rostock | dgskorpus_mvp_07 | 31-45f   People of the regular staff are working in the barbecue and the chicken packing department.
rTO-BARBECUE1A*REGULAR2AHIS-HER1*ROUND4A^*
lHIS-HER1HIS-HER1*CHICKEN3
mgrillhuhnstamm
Rostock | dgskorpus_mvp_07 | 31-45f   I stepped out of the changing room and froze in shock; I was standing in the production area where all these chicken passed me on the assembly line.
rINTO2*$PROD
lI2TO-BE-DISILLUSIONED2CHICKEN3*I1*TO-LOOK-AT1
m[MG]aus
Rostock | dgskorpus_mvp_07 | 31-45f   Currently I am working in the department that is responsible for cleaning the chicken eggs.
r$PROD
lNOW1I2*$INDEX1*CHICKEN3*$ALPHA1:E-IEGG1A*
m[MG]huhnei
Nürnberg (Nuremberg) | dgskorpus_nue_04 | 18-30f   They had chicken as well and, well that’s about it concerning food.
r$INDEX1CHICKEN3*AND2A$INDEX1$INDEX1*
l
mhuhn
= POULTRY3
Rostock | dgskorpus_mvp_07 | 31-45f   They process pork, poultry and beef.
rPIG2BULL1APRESENT-OR-HERE1*POULTRY3ALSO1A*SHELF2A^*
l
mschweinstiergeflü{gel}auch
= TURKEY-HEN1
Köln (Cologne) | dgskorpus_koe_04 | 18-30f   For the first day, I thought, we could just fry some turkey at home.
rALREADY1ATO-ROAST-OR-TO-FRY1$INDEX1TURKEY-HEN1
l
mschonbratenpute
Köln (Cologne) | dgskorpus_koe_04 | 18-30f   Otherwise it will go bad quickly.
rTURKEY-HEN1FAST3BTO-PULL5^
l
mputeschnell[MG]
Rostock | dgskorpus_mvp_05 | 61+m   Turkey was cheap.
rTURKEY-HEN1*MEAT18*CHEAP5
l
mputenfleischbillig
Rostock | dgskorpus_mvp_05 | 61+m   Turkey was rare.
r$GEST^$INDEX1*RARELY2TURKEY-HEN1*MEAT18*
l
mseltenputenfleisch

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