ANIMAL1A^
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133 |
≙ ANIMAL1A^ (2 tokens) |
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by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1251334 mvp08 | 46-60m Ah, wait, no, Wöller/ | |||||||
r | $INDEX1 | $GEST-TO-PONDER1^ | $INDEX1 | ANIMAL1A^ | $INDEX1 | ||
l | |||||||
m | [MG] | wöller | |||||
1251334 mvp08 | 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 | |||
= ANIMAL1A (11 tokens) |
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Mouth: tier | |||||||
Translational equivalents: animal; animalistic | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1419931 ber12 | 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-… koe01 | 18-30f We saw so many things that you can't see here, animals like e.g. kangaroos. | |||||||
r | MUCH1C* | DISTINCT1* | EVERYTHING-FEASIBLE1* | ANIMAL1A | EXAMPLE1* | KANGAROO1 | |
l | |||||||
m | viel | verschiedene | [MG] | tiere | beispiel | känguru | |
1210763 mue04 | 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 | … | zoo | [MG] | tierpark | [MG] | ||
1205503 mue09 | 46-60f People as well as animals have feelings. | |||||||
r | HUMAN2 | $GEST-I-DONT-KNOW1^ | ANIMAL1A* | $GEST^ | |||
l | |||||||
m | mensch | tiere | |||||
1205503 mue09 | 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 koe15 | 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 | |||
1205503 mue09 | 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 | |||
1205503 mue09 | 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-… koe01 | 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 | |||
1184756 nue04 | 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 | ||
1430328 koe15 | 31-45f No, we don't really have animals that are special to our region. | |||||||
r | $GEST^ | WE4* | ANIMAL1A* | $GEST^ | |||
l | |||||||
m | tiere | [MG] | |||||
= BEAR1 (1 token) |
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Translational equivalent: bear | |||||||
1184756 nue04 | 18-30f But it’s a polar bear! | |||||||
r | ICE2* | BEAR1* | |||||
l | |||||||
m | eisbär | ||||||
= LION2 (3 tokens) |
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Mouth: löwe | |||||||
Translational equivalent: lion | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1248625-… goe06 | 31-45f There is that lion statue on the castle square. | |||||||
r | LION2 | LION2* | FORTRESS4* | FORTRESS6 | |||
l | |||||||
m | löwe | löwe | burg | ||||
1433543 mue07 | 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 | ||||
1248625-… goe06 | 31-45f There is that lion statue on the castle square. | |||||||
r | LION2 | LION2* | FORTRESS4* | FORTRESS6 | AREA1A^* | ||
l | |||||||
m | löwe | löwe | burg | ||||
= POLAR-BEAR1 (4 tokens) |
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Translational equivalent: polar bear | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1583214 lei05 | 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 lei05 | 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 lei05 | 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] | |
1583214 lei05 | 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 | ||
= TRIER1A (5 tokens) |
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Mouth: trier | |||||||
Translational equivalent: Trier | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1431690 koe22 | 31-45m The flood had already reached Trier. | |||||||
r | TRIER1A | ALREADY1A | FLOODWATERS1 | ||||
l | |||||||
m | trier | schon | hochwasser | ||||
1212611 fra08 | 18-30f That’s what it was like until I changed schools and went to Trier. | |||||||
r | PROCEEDING1B^* | SOON1^* | UNTIL1 | TRIER1A | THERE1 | ||
l | |||||||
m | [MG] | bis | trier | ||||
1431676 koe22 | 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 | |||
1431676 koe22 | 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 koe22 | 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 | |||||||
1244978 fra03 | 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 | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1429124-… koe10 | 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 | ||||
1429124-… koe10 | 18-30m However, the group of Wolfsburger fans was tiny. | |||||||
r | WOLFSBURG2 | FAN1* | SMALL9 | $PROD | |||
l | |||||||
m | wolfsbu{rg} | [MG] | |||||
1429124-… koe10 | 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-… koe10 | 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] |