BALL-SPHERE2A^
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≙ BALL-SPHERE2A^ (9 tokens) |
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by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1245154-… fra03 | 31-45m Then, you start adding the minced meat bit by bit and mix it in with the tomato purée. | |||||||
r | BALL-SPHERE2A^ | $PROD | TO-MIX2* | ||||
l | $PROD | ||||||
m | hackfleisch | hackfleisch | |||||
1427810 koe04 | 18-30f I love broccoli. | |||||||
r | SOLID1* | ||||||
l | BALL-SPHERE2A^ | I2 | LOVE1A* | ||||
m | brokkoli | [MG] | fest | ||||
1418836-… ber07 | 31-45m With 1:1 the fruit taste is the most noticeable. | |||||||
r | POINT3^* | $NUM-ONE-TO-TEN1A:1d | ORIGINAL2* | BALL-SPHERE2A^* | LIKE-HOW1B* | LIKE-HOW1B* | $ALPHA1:F-#-T_3 |
l | |||||||
m | zu | eins | original | wie | frucht | ||
1419607 ber11 | 61+m And while swimming one worries that it might break, how is that supposed to work? | |||||||
r | AND3* | FEAR1* | TO-SWIM1 | BALL-SPHERE2A^* | TO-BUMP1A* | HOW-QUESTION1* | |
l | |||||||
m | und | angst | schwimmen | wie | |||
1177640 hh04 | 46-60m Everyone gets a pear and they keep walking. | |||||||
r | TO-DIVIDE5* | BALL-SPHERE2A^* | TO-DISTRIBUTE1A* | BALL-SPHERE2A^* | TOGETHER1A* | ||
l | |||||||
m | teilen | verteilen | zus{ammen} | ||||
1177640 hh04 | 46-60m Everyone gets a pear and they keep walking. | |||||||
r | TO-DIVIDE5* | BALL-SPHERE2A^* | TO-DISTRIBUTE1A* | BALL-SPHERE2A^* | TOGETHER1A* | TO-GO1A* | |
l | |||||||
m | teilen | verteilen | zus{ammen} | [MG] | |||
1427810 koe04 | 18-30f They’re made from white cabbage, broccoli, carrots and/ | |||||||
r | INCLUSIVE1^ | CABBAGE1 | CARROT3A* | $GEST^ | |||
l | WHITE1D | BALL-SPHERE2A^* | $NUM-ONE-TO-TEN1A:3d* | ||||
m | zusammen | weißkohl | brokkoli | möhren | |||
1427810 koe04 | 18-30f Yes, I mean cauliflower. | |||||||
r | YES2 | ||||||
l | CLEAR1A* | BALL-SPHERE2A^* | |||||
m | [MG] | klar | blumenkohl | ||||
1427810 koe04 | 18-30f Right, so it’s white, eh … cauliflower, broccoli and pepper/ | |||||||
r | $NUM-ONE-TO-TEN1B:2d* | AND2A* | $NUM-ONE-TO-TEN1B:3d | CONTENT1* | |||
l | PLANT1^* | $ALPHA1:B | BALL-SPHERE2A^* | ||||
m | brokkoli | und | paprika | ||||
= APPLE1 (3 tokens) |
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Translational equivalent: apple | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1246329 fra12 | 61+m One day a friend came around at noon and gave me an apple. | |||||||
r | $INDEX1* | TO-GIVE1* | APPLE1 | ||||
l | TO-COME3* | ||||||
m | … | apfel | |||||
1246329 fra12 | 61+m An apple! That was very unusual, as most trees were destroyed. | |||||||
r | PAST-OR-BACK-THEN1* | APPLE1 | $GEST-NM-SHAKE-HEAD1^ | TO-KNOW-STH-OR-SB1B* | TO-COLLAPSE3* | ||
l | |||||||
m | apfel | kennt man nicht | [MG] | ||||
1246329 fra12 | 61+m I was so happy about it. | |||||||
r | |||||||
l | APPLE1 | ||||||
m | [MG] | ||||||
= BALL4 (1 token) |
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Translational equivalent: ball | |||||||
1584545 lei11 | 18-30f Decorating the house with nutcrackers, Christmas ornaments, and lights and candles. | |||||||
r | $GEST-OFF1^* | CHRISTMAS4A* | BALL4* | CABLE2* | LAMP1A* | ||
l | $GEST^* | $GEST-OFF1^* | |||||
m | weih{nachten} | ball | kabellampe | ||||
= COAL2 (2 tokens) |
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Translational equivalent: coal | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1430328 koe15 | 31-45f There hasn’t been any coal for a long time now. | |||||||
r | ALREADY1A | PAST1^* | COAL2 | FINISHED-EMPTY6 | NO3B^* | NOTHING1A^ | |
l | |||||||
m | [MG] | kohle | alle | alle | |||
1177704-… hh04 | 46-60m I just take the charcoal and put it on the grill. | |||||||
r | EASY1 | WOOD11 | COAL2* | TO-THROW1^* | |||
l | |||||||
m | einfach | holzkohle | [MG] | ||||
= FRUIT3 (1 token) |
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Translational equivalent: fruit | |||||||
1290126 mst04 | 31-45m When they told me that, I was surprised and asked what it was like with the fruit there, what kind of choices they had. | |||||||
r | LIKE-THIS1A* | HIS-HER1 | WHAT-DOES-IT-LOOK-LIKE1* | FRUIT3 | |||
l | |||||||
m | so | wie sieht aus | obst | ||||
= ONION2A (1 token) |
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Translational equivalents: bulb; onion | |||||||
1245154-… fra03 | 31-45m Then, I finely chop up the onions. | |||||||
r | I2* | ONION2A | TO-PART-TO-CHOP1^* | THIS-AND-THAT1^ | |||
l | |||||||
m | und | zwiebel [MG] | [MG] | ||||
= POTATO5A (2 tokens) |
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Translational equivalent: potato | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1211515 stu04 | 61+m Or the times I had to help the farmer dig up potatoes on the fields. | |||||||
r | CAN1^* | $INDEX1 | TO-HELP1 | POTATO5A* | TO-GRAB1A^ | $LIST1:2of2d | |
l | |||||||
m | bauern | helfen | kartoffel | ausheben | |||
1211515 stu04 | 61+m You had to gather potatoes as well? | |||||||
r | BACK-THEN1* | ALSO1A | POTATO5A* | TO-GRAB1A^* | YOU1* | ||
l | |||||||
m | auch | auch | kartoffel | aus{heben} | |||
= TOMATO2A (7 tokens) |
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Translational equivalent: tomato | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1249280-… goe09 | 46-60f Tomatoes always need to be watered well. | |||||||
r | YOU1 | TOMATO2A | ALWAYS4A* | MEANING1* | TO-POUR-OR-TO-WATER1B | ||
l | |||||||
m | tomate | immer | gießen | ||||
1245154-… fra03 | 31-45m Then I add the tomato purée to the now empty space. | |||||||
r | AREA1B* | DRY2A | LEAF3^ | TOMATO2A | TUBE1^* | I1 | |
l | |||||||
m | trocken | tomatenmark | |||||
1428805 koe08 | 31-45m For instance you can see the difference between an organic and an organic tomato/ | |||||||
r | CAN1 | TO-SEE1 | YOU1* | TOMATO2A | |||
l | $INDEX1 | YOU1* | BIO1 | ||||
m | kann | sehen | tomate | bio | |||
1249280-… goe09 | 46-60f Right, first, I have to buy tomato seeds. | |||||||
r | $GEST-I-DONT-KNOW1^* | FIRST1A | I1* | TOMATO2A* | SEED6A* | TO-BUY1A | I1* |
l | |||||||
m | zuerst | tomaten | samen | kaufen | |||
1249280-… goe09 | 46-60f The really small ones and the beef tomatoes. | |||||||
r | ROUND6A^ | $GEST-TO-PONDER1^* | TOMATO2A* | $PROD | AND2B* | TOMATO1B | |
l | |||||||
m | tomate | [MG] | und | fleischtomaten | |||
1249280-… goe09 | 46-60f Otherwise the tomatoes will turn out very small, and that’s not supposed to happen. | |||||||
r | OTHERWISE1* | TO-COME1* | TOMATO2A* | $PROD | BAD-OR-STALE1 | NOT3A* | |
l | |||||||
m | sonst | kommt | toma{te} | [MG] | |||
1249280-… goe09 | 46-60f Then I take the bread, add butter, the tomato and some garlic. | |||||||
r | BREAD5B* | BUTTER2* | TOMATO2A* | TO-PART-TO-CHOP1* | GARLIC5* | TO-CUT9* | |
l | |||||||
m | brot | butter | tomate | knoblauch | |||
~ STONE2A (6 tokens) |
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Translational equivalent: stone | |||||||
by transcript | by glosses | by right neighbours | by left neighbours | |||||||
1292125 mst13 | 46-60m If you throw a stone it should fall more slowly. | |||||||
r | $INDEX1* | IF-OR-WHEN1A | STONE2A | TO-THROW1* | MUST1* | $PROD | |
l | |||||||
m | wenn | stein | werfen | muss | langsam | ||
1431224 koe19 | 31-45m Doctor Steinbach gave me all these injections. | |||||||
r | PERSON1 | SELF1A* | DOCTOR1 | STONE2A | WAY-COURSE2^ | ||
l | |||||||
m | … | doktor | steinbach | ||||
1246329 fra12 | 61+m What does Lithography mean in comparison to other printers? | |||||||
r | WHAT2* | MEANING1* | STONE2A* | STONE2A | TO-PRINT1 | DIFFERENT2* | TO-PRINT1 |
l | |||||||
m | was | bedeutet | steindrucker | andere | druck | ||
1428821-… koe08 | 31-45m I usually always lay a heavy stone on top so it’ll stick better. | |||||||
r | I2 | HEAVY1B* | HEAVY2C* | STONE2A* | $PROD | ||
l | |||||||
m | … | schwer | schwer | [MG] | |||
1246329 fra12 | 61+m What does Lithography mean in comparison to other printers? | |||||||
r | WHAT2* | MEANING1* | STONE2A* | STONE2A | TO-PRINT1 | DIFFERENT2* | |
l | |||||||
m | was | bedeutet | steindrucker | andere | |||
1427810 koe04 | 18-30m They threw small stones rather than salt. | |||||||
r | NOT3A | SALT1B* | $GEST-NM-SHAKE-HEAD1^ | STONE2A* | ALL1A* | THATS-ALL1A | TO-SCATTER3 |
l | |||||||
m | salz | stein | |||||
~ VEGETABLE8 (1 token) |
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Translational equivalent: vegetables | |||||||
1427810 koe04 | 18-30f Or broccoli. | |||||||
r | THIS2 | ||||||
l | I1 | THIS2* | VEGETABLE8* | WHATS-THAT-FOR1* | |||
m | die{se} | brokkoli | [MG] |