Mouth: kalt
Translational equivalents: cold _; unfeeling
by transcript | by glosses | by right neighbours | by left neighbours
1582654 1582654 | 18-30m
That’s cold.
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COLD2*
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M
kalt
1414312 1414312 | 46-60m
It was very cold and we had to swim outside.
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COLD2* VERY5 COLD2 $GEST-OFF1^
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sehr kalt
1432043 1432043 | 46-60m
The cold comes from the water.
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COLD2* WATER1 $PROD
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kalt wasser [MG]
1584855 1584855 | 46-60m
But the restaurant owner was cold as ice and didn't open the door.
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$INDEX1 COLD2*
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kalt
1200689 1200689 | 18-30f
But then I stand firm and refuse to help.
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$GEST-NM-SHAKE-HEAD1^ COLD2* I1*
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kalt
1178347 1178347 | 31-45m
I told her, “you are pretty cold, aren’t you?”
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YOU1* COLD2*
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du kalt
1184145 1184145 | 61+m
When the bad weather comes from the left, it's always cold here, that's why we have so much snow and we often have bad weather, that's a sphere of its own.
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TO-STAY2* COLD2* HENCE1* ABOVE2B^ $LIST1:1of1d*
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$PROD STREAM1^*
M
schlechtes wetter bleibt kalt kalt kalt deshalb viel schnee
1200689 1200689 | 18-30f
I help only once. That's enough.
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$NUM-ONE-TO-TEN1A:1d* TIMES3 COLD2* DONE4*
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M
einmal kalt
1582654 1582654 | 18-30m
It was very cold in Kiev.
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RUSSIA1^* THERE1 COLD2*
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kiew kalt
1176340 1176340 | 18-30f
The departments treated each other with a cold shoulder. For example the soccer team and the handball team didn't want to have anything to do with one another.
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GROUP1A* BIT2A* COLD2* GROUP1A* COLD2 TO-SEPARATE2*
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biss{chen} kalt kalt [MG]
1180339-16161232-16363818 1180339-… | 31-45m
It's about cold water, and how to avoid flooding. That's what you can see in the museum.
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$ALPHA1:K CLIMATE1* WATER1* COLD2* WATER1 $GEST^ WATER1*
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M
kl{ima} wie viel kalt wasser wasser
1292545 1292545 | 31-45f
They shouldn’t run around and talk at once as they do with their parents when they are with me.
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NOT3A HOW-QUESTION2* CLUELESS1A* COLD2* PARENTS1A TYPICAL1* LIKE1A*
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nicht wie eltern typisch
1211515 1211515 | 61+f
With all that pressure, and the cold, and it had rained as well? No, thank you!
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TO-PRESSURE1* COLD1 RAIN1A* COLD2* I2 NOT3B* ELBOW3^
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unter{drücken} so kalt regen kalt ich will nicht platz
1181397 1181397 | 61+f
I gave him the cold shoulder.
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$GEST-NM-TO-SHRUG1^ I1* COLD2* $GEST-NM-TO-SHRUG1^
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I1 I1
M
kalt [MG]
1427810 1427810 | 18-30m
No, even if one has to be naked there, the eight of us can just sit inside with our bathing suits.
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ALL1A^* I1* $NUM-ONE-TO-TEN1B:8d* COLD2* UNDERPANTS1* TO-LET2A* $PROD
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wir acht kalt [MG]
1249951 1249951 | 31-45f
And then, as soon as it's cooler, people start complaining about the cold and want it to be warm again.
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ALL1A TO-COMPLAIN2 $INDEX1 COLD2* $GEST-OFF1^* SHOULD1 WARM1B
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alle beschweren zu kalt soll warm
1178347 1178347 | 31-45m
Others agreed with me that it was, indeed, a very sad story. They didn't react as cold as my coworker.
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DIFFERENT1* PERSON1* NOT3A COLD2*
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anders nicht kalt
1584855 1584855 | 46-60m
He was ice cold.
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COLD2 $INDEX1
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kalt
1585089 1585089 | 31-45m
He was told there was nothing they could do about it.
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COLD2 I-AM-SORRY3A*
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$GEST-OFF1^*
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kalt leid tu mir leid tu mir leid
1209495-10594836-11212321 1209495-… | 18-30f
I’m cold there, I say “No“, and that’s it.
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COLD2 NO6* DONE1A*
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kalt nein fertig
1432043 1432043 | 46-60m
That’s why it’s so cold.
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COLD2 $GEST^
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kalt
1428225 1428225 | 46-60m
I keep my distance and keep my mouth shut.
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I1 COLD2 CLOSE-MOUTH1*
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kalt [MG]
1177860 1177860 | 61+m
Outside it’s cold and raining, and inside there’s the flea market.
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OUTSIDE1* COLD2 RAIN1A* HERE1* MARKET3*
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draußen kalt regen flohmarkt
1582642 1582642 | 18-30m
The man appears, but she keeps reading.
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MAN1* COLD2 BOOK1B*
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mann kalt [MG]
1290121 1290121 | 31-45m
There I saw that the players directly went back to their locker room.
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BAD-MOOD3 COLD2 $PROD DIRECTION3^* STRAIGHT3
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M
1291243 1291243 | 31-45f
The interpreter translated everything coldly, without emotions, and the person got very angry.
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COLD2 $GEST^ $GEST-ATTENTION1^*
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$INDEX1 TO-KNOW-STH-OR-SB1A*
M
kalt kennen»
1205503 1205503 | 61+f
Isn't this cold demeanor interesting?
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$INDEX1 COLD2 INTEREST1A* LIKE-THIS1A*
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[MG] kalt [MG] so
1205503 1205503 | 61+f
When someone is very cold in their behavior, then you can spot that right away.
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TO-SIGN1G* COLD2 DONE1A* TO-FIND1D $GEST^
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[MG] kalt gefunden
1205503 1205503 | 61+f
They listen less to their mind and they seem less cold.
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BRAIN1A^* COLD2 LITTLE-BIT9
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verstand kalt wenig
1205503 1205503 | 61+f
… that they can't make any rational decisions.
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CAN2A* COLD2 TO-DECIDE1B
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kann nicht kalt entscheiden
1205503 1205503 | 61+f
I think I can also show it with facial expressions when I'm not interested. For instance, when I don't feel like flirting and the other person still seeks eye contact and I’ll just resort to looking uninterested.
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FACE1* TO-SHOW1A* $ORAL^ COLD2 $GEST^
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[MG] zeigen auch kalt
1212611 1212611 | 18-30f
He didn’t care.
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$GEST-DECLINE1^* $INDEX1* COLD2
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[MG] [MG] kalt
1180097 1180097 | 18-30m
My driving instructor was unimpressed, I was even able to see a thick layer of water on the driving lane.
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MAN1 TO-LOOK-AT1* COLD2 I1 ALREADY1A* I1
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mann kalt schon
1427810 1427810 | 18-30m
When we get there, we’ll put it in the freezer.
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COLD2 TO-THROW1^*
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TO-BE-ON-THE-MOVE1* TO-ARRIVE1* DONE1A*
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unterwegs einfrieren
1181455 1181455 | 61+f
After that, you have to go into freezing water.
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THEN7* COLD2 DOWN1*
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TO2* WATER11
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kalt wasser
1414312 1414312 | 46-60m
It was very cold and we had to swim outside.
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COLD2* VERY5 COLD2 $GEST-OFF1^ WE1A* TO-SWIM1*
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sehr kalt wir schwimmen
1212611 1212611 | 18-30f
I greeted the tutor back coolly.
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I1* $GEST-NM^ HOW-QUESTION3 COLD2 GOOD4^*
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wie kalt
1248699 1248699 | 18-30f
Right, for cooling down.
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COOL-OR-COLD2 TO-REGISTER1* $PROD COLD2 TO-STAY2*
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kühl [MG] bleib
1249951 1249951 | 31-45f
Yet, others state the opposite: it will rather be cold than warm.
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DIFFERENT2* TO-SAY3* FUTURE1A COLD2 WARM1B NOT3A* $GEST-OFF1^
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M
and{ere} sagen zukunft kalt warm nicht mehr
1180339-16161232-16363818 1180339-… | 31-45m
It’s the best to eat kale when it’s cold outside.
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COHERENCE1A^ BEST1 IF-OR-WHEN1A COLD2 TO-EAT-OR-FOOD1*
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M
[MG] wenn kalt essen
1205503 1205503 | 61+f
It's also possible that he just casually looked over.
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THERE-IS3* ALSO1A* COLD2 COLD2
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$INDEX1 $INDEX1
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gibt auch kalt [MG] kalt
1205503 1205503 | 61+f
There are wonderful emotions and then there are unbelievably cold and hard emotions.
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BEAUTIFUL1A* VERY7* HARD4B COLD2 FEELING2A* $GEST^
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schön [MG] hart kalt gefühl [MG]
1432043 1432043 | 46-60m
In the winter, the temperature goes down below zero degrees celsius, it’s so cold!
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IN1* WINTER1 MINUS2* COLD2 $GEST-OFF1^
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im winter minus so kalt
1249951 1249951 | 31-45f
And then, as soon as it's cooler, people start complaining about the cold and want it to be warm again.
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SOON1B COOL-OR-COLD2 TO-COME1* COLD2 ALL1A TO-COMPLAIN2 $INDEX1
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kühl komm kalt alle beschweren
1205503 1205503 | 61+f
Thank God, that there are very few people with these cold emotions. The majority has a normal set of emotions.
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THANKS1^* LITTLE-BIT9 $GEST^ COLD2 FEELING2A* $GEST^ LITTLE-BIT8
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M
gott sei dank wenig kalt gefühl oder wenig»
1176340 1176340 | 18-30f
The departments treated each other with a cold shoulder. For example the soccer team and the handball team didn't want to have anything to do with one another.
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BIT2A* COLD2* GROUP1A* COLD2 TO-SEPARATE2* $INDEX1* FOOTBALL2*
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TO-SEPARATE2* TO-SEPARATE2*
M
biss{chen} kalt kalt [MG] fußballmannschaft»
1205503 1205503 | 61+f
It's also possible that he just casually looked over.
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COLD2 COLD2
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$INDEX1 $INDEX1
M
kalt [MG] kalt
1180254 1180254 | 31-45m
That was very interesting to me that I use such strong facial expressions.
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INTEREST1A^ FACIAL-EXPRESSION1 I1 COLD2 SERIOUS2*
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[MG] mimik kalt [MG]
1249951 1249951 | 31-45m
Yet, it has been quite cold, and there has been a lot of snow lately.
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A-MOMENT-AGO1A IT-HAPPENS3 BACK1A* COLD2 SNOW3A $GEST-OFF1^
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passiert zu{rück} kalt schnee [MG]
1212611 1212611 | 18-30f
So I acted very coldly towards him.
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IF-OR-WHEN1A LIKE-THIS1B* I1* COLD2 MAIN-POINT1B* $GEST-DECLINE1^*
L
M
wenn so [MG] kalt haupt
1209495-10594836-11212321 1209495-… | 18-30f
Almost all of my teachers are annoyed by me, because I’m so stubborn.
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$GEST-MAD1^* ON-PERSON1* I1* COLD2
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M
[MG] kalt
1205821 1205821 | 31-45f
He insisted he wanted to go to his wife.
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TO-GO-THERE1 COLD2
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TO-WANT8 $INDEX1 TO-LET-KNOW1A I1 TO-WANT8
M
will frau kalt will
1290581 1290581 | 18-30m
And when they come back you don’t even know the individual people.
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ZERO6A TO-SEE1* COLD2
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ALL2A TO-LOOK-AT3^*
M
null kalt [MG]
1582654 1582654 | 18-30m
It was cold.
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COLD2*
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kalt
1176340 1176340 | 18-30f
Her parents send her back and she had to accept it. She was practically forced to go back.
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$INDEX1* HIS-HER1* PARENTS1A COLD2* LIKE3A*
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BACK1A* TO-OBEY1A
M
ihre eltern kalt zurück [MG] wie