HORNS2C^
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1175
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≙ HORNS2C^ (7 tokens) |
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by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1249376 goe10 | 46-60m Later on, the food was affected as well; you couldn’t eat anything from the forest, like game or deer. | |||||||
r | TO-EAT-OR-FOOD2 | GAME-ANIMALS6 | $INDEX1 | HORNS2C^ | NOT3A* | $GEST-OFF1^* | |
l | |||||||
m | essen | hirsch | verboten | [MG] | |||
1432043 sh08 | 46-60m There is also a viking bike path. | |||||||
r | THERE-IS3 | HORNS2C^ | BICYCLE1 | WAY2B | |||
l | |||||||
m | gibt es | wikinger | radweg | ||||
1432043 sh08 | 46-60m Then, in Schleswig/ in Schleswig there’s a viking festival. | |||||||
r | $INDEX1 | SCHLESWIG1 | $INDEX1 | HORNS2C^* | CELEBRATION1B | ||
l | |||||||
m | schleswig | wikingerfest | |||||
1432043 sh08 | 46-60m In Haithabu, the viking festival. | |||||||
r | $INDEX1* | $CUED-SPEECH* | $INDEX1 | HORNS2C^* | |||
l | |||||||
m | … | haithabu | wiki{nger} | ||||
1247525 goe01 | 61+m I am against it, though, because I think one gets addicted and then one sits in front of the computer all the time. | |||||||
r | HOW-QUESTION1 | ON-OBJECT1 | DEVIL1A* | HORNS2C^* | $GEST-DECLINE1^ | ADDICTION1^* | $GEST-DECLINE1^ |
l | |||||||
m | teufel | ||||||
1246681 fra13 | 46-60m Among them were Mainz, Cologne and Worms. | |||||||
r | $LIST1:1of1d* | MAINZ1* | $LIST1:1of1d | HORNS2C^* | $LIST1:2of2d* | $NUM-ONE-TO-TEN1A:2d | |
l | $ALPHA1:W | ||||||
m | mainz | köln | worms | ||||
1430328 koe15 | 31-45m There are deer and wild boars in my village and in Siegen as well. | |||||||
r | $GEST^ | $LIST1:1of1d* | $LIST1:2of2d | HORNS2C^* | $LIST1:2of2d | ||
l | |||||||
m | … | wildschwein | |||||
= BULL1A (1 token) |
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Translational equivalent: bull | |||||||
1250972 mvp07 | 31-45f They process pork, poultry and beef. | |||||||
r | PIG2 | BULL1A | PRESENT-OR-HERE1* | POULTRY3 | ALSO1A* | ||
l | |||||||
m | schwein | stier | geflü{gel} | auch | |||
= CALF-VEAL1 (2 tokens) |
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Translational equivalent: calf | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1433543 mue07 | 31-45m It used to be veal. | |||||||
r | GENUINE1* | CALF-VEAL1* | NOT-ANYMORE1A | ||||
l | PAST-OR-BACK-THEN2 | ||||||
m | früher | kalb | |||||
1433543 mue07 | 31-45m Pork or veal? | |||||||
r | PIG2 | CALF-VEAL1* | |||||
l | |||||||
m | schwein | kalb | |||||
= CATTLE1 (3 tokens) |
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Translational equivalents: ox; cow; cattle | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1250646 mvp05 | 61+m Beef was a bit more expensive, though. | |||||||
r | BUT1* | CATTLE1* | MEAT18* | PRICE1B* | |||
l | MORE6* | ||||||
m | aber | rindfleisch | preis | ||||
1250646 mvp05 | 61+f That’s true, beef/ Pork/ Right. | |||||||
r | RIGHT-OR-AGREED1A | CATTLE1* | RIGHT-OR-AGREED1A | ||||
l | PIG2* | ||||||
m | rindflei{sch} | schwein | |||||
1250646 mvp05 | 61+m Pork wasn’t as much. | |||||||
r | CATTLE1* | PIG2* | MEAT18* | LITTLE-BIT1* | |||
l | |||||||
m | schweinefleisch | weniger | |||||
= COW1 (8 tokens) |
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Mouth: kuh | |||||||
Translational equivalent: cow | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1184536 nue03 | 31-45m In former times, a farmer had cows dragging carts. | |||||||
r | FARMER2 | TO-SAY1* | PAST-OR-BACK-THEN1* | COW1* | $PROD | TO-TOW1^* | |
l | |||||||
m | bauer | früher | kuh | [MG] | [MG] | ||
1179868 hb06 | 31-45f There was a fence with some sort of string for the cows. | |||||||
r | LIKE-HOW1A | $INDEX1 | FENCE1A | COW1* | WIRE1* | ||
l | |||||||
m | wie | zaun | kuh | faden | |||
1204877 mue03 | 46-60m I also helped my grandma and grandpa to cut hay, which was used to feed the cows. | |||||||
r | $ORAL^ | TO-HELP1* | TO-SWEEP1A^* | COW1* | TO-FEED1 | ||
l | |||||||
m | oma | helfen | heu | kuh | füttern | ||
1182343 stu13 | 31-45f It was a pig’s or cow’s eye. | |||||||
r | PIG2 | COW1* | EYE1* | $PROD | |||
l | |||||||
m | schwein | kuh | auge | [MG] | |||
1211515 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 | BROOK1* | PLANE3B^* | $LIST1:2of2d | COW1* | AREA1D^* | $GEST^ | SHEEP-$CANDIDATE-STU63^ |
l | |||||||
m | bach | weide | kuhweide | schafweide | |||
1430328 koe15 | 31-45f Maybe made from a sheep or a cow which has a certain taste? | |||||||
r | ANIMAL1A* | $INDEX1* | SHEEP1* | COW1* | TO-PART-TO-CHOP1^* | TO-KNOW-STH2B^ | TO-TASTE3 |
l | |||||||
m | tier | schaf | kuh | ||||
1249741 mvp01 | 18-30m There are cows on the meadows grazing. | |||||||
r | COW1* | COW2D* | REGULARLY2A^* | AREA1A^* | |||
l | |||||||
m | kuh | kuh | |||||
1433543 mue07 | 31-45m Now it’s cheap, because they make it from a mix of pork and veal. | |||||||
r | TO-MIX2* | AND2A* | TO-MIX3* | THEREFORE1* | |||
l | PIG2 | COW1* | CHEAP2 | ||||
m | [MG] | schwein | und | kuh | misch | darum | billig |
= GAME-ANIMALS9A (3 tokens) |
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Mouth: wild | |||||||
Translational equivalent: game, game animals | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1418889 ber08 | 31-45f That was the way it went until the Fall of the Wall. Then I led a happy and excessive life. | |||||||
r | GAME-ANIMALS9A* | TO-EAGERLY-LOOK-FORWARD-TO-STH1^ | I1* | GAME-ANIMALS9A | TO-LIVE1G | $PROD | |
l | |||||||
m | … | [MG] | wild | leben | |||
1418889 ber08 | 31-45f I had to undergo physical therapy, because, as I've already said, I lead a wild life. | |||||||
r | TO-TEACH1^* | PROCEEDING1A^* | GAME-ANIMALS9A | TO-LIVE1B* | |||
l | PAST-OR-BACK-THEN1* | ||||||
m | therapie | frü{her} | wildlebend | ||||
1418889 ber08 | 31-45f That was the way it went until the Fall of the Wall. Then I led a happy and excessive life. | |||||||
r | PROCEEDING1A^* | FALL-OF-THE-BERLIN-WALL1 | NO3B^* | GAME-ANIMALS9A* | TO-EAGERLY-LOOK-FORWARD-TO-STH1^ | I1* | GAME-ANIMALS9A |
l | |||||||
m | mauerfall | [MG] | wild |