ANIMAL1A^
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| 133 |
≙ ANIMAL1A^ (2 tokens) |
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| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1251334 1251334 | 46-60m Wöller, an athlete back then in the GDR. | |||||||
| R | ANIMAL1A^ | PAST-OR-BACK-THEN2 | GDR1B | SPORTS4B | |||
|---|---|---|---|---|---|---|---|
| L | |||||||
| M | wöller | [MG] | d-d-r | sport» | |||
| 1251334 1251334 | 46-60m Ah, wait, no, Wöller/ | |||||||
| R | $INDEX1 | $GEST-TO-PONDER1^ | $INDEX1 | ANIMAL1A^ | $INDEX1 | ||
| L | |||||||
| M | [MG] | wöller | |||||
= BEAR1 (1 token) |
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| Mouth: ∅ | |||||||
| Translational equivalent: bear | |||||||
| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1184756 1184756 | 18-30f But it’s a polar bear! | |||||||
| R | ICE2* | BEAR1* | |||||
| L | |||||||
| M | eisbär | ||||||
= POLAR-BEAR1 (4 tokens) |
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| Mouth: ∅ | |||||||
| Translational equivalent: polar bear | |||||||
| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1583214 1583214 | 61+f The polar bears are in danger because they live up in the north in the ice/ | |||||||
| R | POLAR-BEAR1 | NOW1 | TO-STAND1 | NOW1 | |||
| L | |||||||
| M | eisbär | jetzt | stehen | jetzt | |||
| 1583214 1583214 | 61+f It might be possible that the situation of the polar bears gets better as well. | |||||||
| R | $ORAL^ | $INDEX1 | POLAR-BEAR1 | $INDEX1 | SHOULD1* | BETTER1* | |
| L | |||||||
| M | und | da | eisbär | soll | besser | ||
| 1583214 1583214 | 61+f It's true, you can see it in the case of the polar bears. | |||||||
| R | RIGHT-OR-AGREED1B* | TO-SEE1* | THROUGH2B | POLAR-BEAR1 | CAN1* | TO-SEE1* | |
| L | |||||||
| M | stimmt | sieht | man | eisbär | kann man | sehen | |
| 1583214 1583214 | 61+f And if the ice melts and they have nowhere to go, they will drown. | |||||||
| R | IF-OR-WHEN1A* | ICE3 | TO-MELT1B* | POLAR-BEAR1 | WHERE-TO-GO1* | $PROD | TO-TRY-OR-REHEARSAL3B^* |
| L | |||||||
| M | wenn | eis | [MG] | eisbär | wohin | [MG] | |
= LION2 (3 tokens) |
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| Mouth: löwe | |||||||
| Translational equivalent: lion | |||||||
| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1248625-15324720-15465943 1248625-… | 31-45f There is that lion statue on the castle square. | |||||||
| R | LION2 | LION2* | FORTRESS4* | FORTRESS6 | AREA1A^* | ||
| L | |||||||
| M | löwe | löwe | burg | ||||
| 1248625-15324720-15465943 1248625-… | 31-45f There is that lion statue on the castle square. | |||||||
| R | LION2 | LION2* | FORTRESS4* | FORTRESS6 | |||
| L | |||||||
| M | löwe | löwe | burg» | ||||
| 1433543 1433543 | 31-45m Maybe just every second Sunday, a lot of musicians perform at the Bavaria Statue. | |||||||
| R | BIG3A* | $PROD | LION2 | LOCATION1A* | $PROD | ||
| L | BAVARIA1^* | TO-STAND1* | |||||
| M | groß | bavaria | löwe | ||||
= ANIMAL1A (11 tokens) |
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| Mouth: tier | |||||||
| Translational equivalents: animalistic; animal | |||||||
| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1205503 1205503 | 46-60f A pet senses whenever its owner doesn't feel well and then comes to its owner. | |||||||
| R | ANIMAL1A* | TO-SENSE1 | I1 | $GEST^ | |||
| L | |||||||
| M | tier | spüren | |||||
| 1427158-11470746-12015917 1427158-… | 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 | DIFFERENCE1A^* | ANIMAL1A* | DIFFERENT2* | ALL2A^ | MUCH1C* | ||
| L | |||||||
| M | verschieden | tier | [MG] | viel | |||
| 1205503 1205503 | 61+f The book says that love doesn't focus on a single man, but rather on many people or things. Be that a child, a flower or an animal. | |||||||
| R | CHILD2 | FLOWER2 | $GEST-I-DONT-KNOW1^ | ANIMAL1A* | $GEST-I-DONT-KNOW1^ | ||
| L | |||||||
| M | kind | blume | tier | ||||
| 1430328 1430328 | 31-45f No, we don't really have animals that are special to our region. | |||||||
| R | $GEST^ | WE4* | ANIMAL1A* | $GEST^ | |||
| L | |||||||
| M | tiere | [MG] | |||||
| 1205503 1205503 | 46-60f People as well as animals have feelings. | |||||||
| R | HUMAN2 | $GEST-I-DONT-KNOW1^ | ANIMAL1A* | $GEST^ | |||
| L | |||||||
| M | mensch | tiere | |||||
| 1205503 1205503 | 46-60f Exactly, it doesn't matter if it's an animal or a person, everyone has feelings. | |||||||
| R | EQUAL1A | IF4* | ANIMAL1A* | HUMAN2 | EQUAL1A | FEELING3 | |
| L | |||||||
| M | ob | tier | mensch | gefühl | |||
| 1430328 1430328 | 31-45f Maybe made from a sheep or a cow which has a certain taste? | |||||||
| R | THIS-AND-THAT1^* | PRESENT-OR-HERE1 | PRIMARILY1 | ANIMAL1A* | $INDEX1* | SHEEP1* | COW1* |
| L | |||||||
| M | da | tier | schaf | kuh | |||
| 1184756 1184756 | 18-30f My boyfriend’s birthday party will be themed ‘Animals’. I mean, you’re supposed to dress up that way. | |||||||
| R | BIRTHDAY5 | SHOULD1 | SUBJECT1 | ANIMAL1A* | TO-DRESS-UPPER-BODY1A* | SHOULD1 | |
| L | |||||||
| M | geburtstag | soll | thema | tier | soll | ||
| 1419931 1419931 | 31-45f You can see many animals there; lots of people go. | |||||||
| R | ANIMAL1A | DISTINCT2B* | $INDEX1 | MASS-OF-PEOPLE-ACTIVE1 | |||
| L | |||||||
| M | tier | verschieden | [MG] | ||||
| 1427158-11470746-12015917 1427158-… | 18-30f We saw so many things that you can't see here, animals like e.g. kangaroos. | |||||||
| R | MUCH1C* | DISTINCT1* | ALL-KINDS-OF1* | ANIMAL1A | EXAMPLE1* | KANGAROO1 | |
| L | |||||||
| M | viel | verschiedene | [MG] | tiere | beispiel | känguru | |
| 1210763 1210763 | 18-30m I go swimming, to the lake, to the zoo or to a museum, or to the Lake Starnberg. | |||||||
| R | $GEST-OFF1^* | $ALPHA1:Z-OO | TO-VISIT1 | ANIMAL1A | LOCATION1A^ | TO-VISIT1 | $GEST-OFF1^* |
| L | |||||||
| M | see | zoo | [MG] | tierpark | [MG] | ||
= TRIER1A (5 tokens) |
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| Mouth: trier | |||||||
| Translational equivalent: Trier (city in the federal state of North-Rhine Westphalia) | |||||||
| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1431690 1431690 | 31-45m The flood had already reached Trier. | |||||||
| R | TRIER1A | ALREADY1A | FLOODWATERS1 | ||||
| L | |||||||
| M | trier | schon | hochwasser | ||||
| 1431676 1431676 | 31-45m It can only be found in Trier, Koblenz, and Saarbrücken, around that area. | |||||||
| R | ONLY2B | TRIER1A | AREA1B | COBLENZ1* | SAARBRÜCKEN1A* | ||
| L | |||||||
| M | nur | trier | koblenz | saarbrücken» | |||
| 1212611 1212611 | 18-30f That’s what it was like until I changed schools and went to Trier. | |||||||
| R | PROCEEDING1B^* | SOON1^* | UNTIL-OR-TO1 | TRIER1A | THERE1 | ||
| L | |||||||
| M | [MG] | bis | trier | ||||
| 1431676 1431676 | 31-45m The bishop told the pastor that there’s a priest for the deaf in Trier. | |||||||
| R | TO-LET-KNOW1A* | IN1 | IN1* | TRIER1A | AN1A | PERSON1 | PRIEST1B |
| L | |||||||
| M | in | trier | ein | pfarrer | |||
| 1431690 1431690 | 31-45m I believe the flood was 12 meters high in Trier. | |||||||
| R | TO-BELIEVE2A | $INDEX1 | TRIER1A* | TO-SAY1 | TO-BELIEVE2A* | $NUM-TEEN2A:2d | |
| L | $NUM-ONE-TO-TEN1A:1d | ||||||
| M | glaube | trier | sagen | glaube | zwölf | ||
= WOLF1 (1 token) |
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| Mouth: wolf | |||||||
| Translational equivalent: wolf | |||||||
| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1244978 1244978 | 46-60m The next morning, I told my deaf friends at school what I'd seen in the movies, for instance in horror movies with wolves. | |||||||
| R | OVER-OR-ABOUT1* | HORROR1 | CARNASSIAL3^ | WOLF1* | |||
| L | |||||||
| M | über | horror | wolf | ||||
= WOLFSBURG2 (4 tokens) |
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| Mouth: wolfsburg | |||||||
| Translational equivalent: Wolfsburg (city in the federal state of Lower Saxony) | |||||||
| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1429124-13403249-13545507 1429124-… | 18-30m However, the group of Wolfsburger fans was tiny. | |||||||
| R | WOLFSBURG2 | FAN1* | SMALL9 | $PROD | |||
| L | |||||||
| M | wolfsbu{rg} | [MG] | |||||
| 1429124-13403249-13545507 1429124-… | 18-30m In comparison to that the group of fans from Wolfsburg was seriously tiny. Our stands were densely occupied; the atmosphere was great, and all the people were jumping up and down. | |||||||
| R | $INDEX1 | WOLFSBURG2 | ROUND6A^* | $GEST^ | I1 | ||
| L | |||||||
| M | wolfs{burg} | [MG] | |||||
| 1429124-13403249-13545507 1429124-… | 18-30m During the matches against Cologne the stands were full of fans, but the fans from Wolfsburg added up to only a tiny crowd. | |||||||
| R | FAN1* | MASS-OF-PEOPLE-PASSIVE2^ | BUT1 | WOLFSBURG2 | MAIN-POINT1A | $PROD | |
| L | |||||||
| M | fan da | [MG] | aber | wolfsburg | [MG] | ||
| 1429124-13403249-13545507 1429124-… | 18-30m The score/ Well, Dortmund played very well in the beginning. We scored quite a few goals against Wolfsburg, and we were in a really good mood. | |||||||
| R | BEGINNING1B* | I1* | $PROD | WOLFSBURG2 | I1* | FIRST-OF-ALL1A | TO-LIST1C^* |
| L | |||||||
| M | anfang | [MG] | wolfsburg | ||||