Mouth: million
Translational equivalent: million
by transcript | by glosses | by right neighbours | by left neighbours
1184536 | 46-60m
Millions came by ship.
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SHIP1* $NUM-MILLION1 MASS-OF-PEOPLE-ACTIVE1* $GEST^
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million [MG]
1177918 | 61+m
Today we are talking about millions.
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TODAY1 $NUM-MILLION1 HIGH3B
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heute million hoch
1179390-… | 18-30m
I think that behind those numbers of three million unemployed people presented by our exultant government, there are at least an actual amount of six million.
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$NUM-MILLION1 HOORAY1* $NUM-ONE-TO-TEN1A:3d* $NUM-MILLION1 NOT3A TRUE2 IN-THE-BACK-OF1*
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drei million hurra drei million wahr
1179390-… | 18-30m
I think that behind those numbers of three million unemployed people presented by our exultant government, there are at least an actual amount of six million.
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TRUE2 IN-THE-BACK-OF1* $NUM-ONE-TO-TEN1D:6d $NUM-MILLION1 $GEST-DECLINE1^* TO-WORK2* $MORPH-LESS1*
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wahr sechs million arbeitslos
1413251 | 31-45m
300 million inhabitants there, 1.2 billion here, that could take a while.
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$INDEX1 $NUM-HUNDREDS1:3d $NUM-MILLION1 TO-SIT1A^* $INDEX1 $NUM-ONE-TO-TEN1A:1d
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dreihu{ndert} milio{nen} einwohner eins komma zwei millia{rden}»
1246100 | 18-30m
There are 20 million inhabitants.
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$INDEX1 $NUM-TENS2A:2* $NUM-MILLION1 TO-SIT1A^* $INDEX1
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zwanzig million einwohner
1429124-… | 18-30m
In a city of one million people like Cologne, or how many we have now, it isn’t quite as certain that you’ll get a job.
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CLEAR1B* $NUM-ONE-TO-TEN1A:1d $NUM-MILLION1 CITY2* $GEST-TO-PONDER5^ COLOGNE2*
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klar ein{e} million stadt wie viel köln»
1246100 | 18-30m
Over there, one city has 20 million inhabitants, that’s why there are deaf schools in 20 different locations.
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$INDEX1 $NUM-ONE-TO-TEN1A:1d* $NUM-TENS2A:2d* $NUM-MILLION1 THEREFORE1* MACHINE-AIDED1B IN3
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ei{n} zwanzig millionen darum automatisch im
1179390-… | 18-30m
So there are six to seven million unemployed people, I guess.
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$NUM-ONE-TO-TEN1D:6d $NUM-ONE-TO-TEN1D:7d $NUM-MILLION1 $GEST-DECLINE1^*
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$GEST-DECLINE1^*
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sechs sieben millionen
1433543 | 31-45m
Every year, more than a million people come.
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$NUM-MILLION1 TO-VISIT-OR-TO-ATTEND1A* THERE1*
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YEAR2A* OVER-OR-ABOUT1 $NUM-ONE-TO-TEN1A:1d
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jahr über ein million besuch
1177860 | 61+m
We have to repay that company 200 million euros?
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I1* BACK1A* $NUM-HUNDREDS1:2 $NUM-MILLION1 TO-LACK1A $INDEX1
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muss zurück zweihundert millionen fehlen
1431896 | 46-60m
That meant there were about 2.5 or 3 million people.
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$NUM-ONE-TO-TEN1A:5 UNTIL-OR-TO1 $NUM-ONE-TO-TEN1B:3d $NUM-MILLION1
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zwei komma fünf {million} bis drei million
1248400 | 46-60m
If China opened up, not millions of people but billions of their citizens would spread across the globe.
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$INDEX1* $NUM-BILLION1 $INDEX4 $NUM-MILLION1 TO-SIT1A^ NO1A^ $NUM-BILLION1
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milliarden millionen einwohner milliarden»
1290581 | 31-45m
The budget in Australia was smaller, not even twenty million.
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LITTLE-BIT9 MUCH1C* $NUM-TENS2A:2d* $NUM-MILLION1 NO1A TO-DECREASE1^* $NUM-ONE-TO-TEN1A:2d*
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[MG] viel zwanzig million [MG] [MG] zwei
1179390-… | 18-30m
I think that behind those numbers of three million unemployed people presented by our exultant government, there are at least an actual amount of six million.
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TRUE2 TO-SAY1 $NUM-ONE-TO-TEN1A:3d* $NUM-MILLION1 HOORAY1* $NUM-ONE-TO-TEN1A:3d* $NUM-MILLION1
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M
wahr sagen drei million hurra drei million
1179390-… | 18-30m
But in reality, there must be five millions of them.
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TRUE2 $NUM-ONE-TO-TEN1B:5 $NUM-MILLION1 $GEST-DECLINE1^*
M
wahr fünf millionen
1181455 | 61+f
They were facing expenses of millions, over 40 million.
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MOVEMENT-OBJECT2^* PRICE2*
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A-WHOLE-LOT2 OVER-OR-ABOUT1 $NUM-MILLION1 $NUM-TENS4A:4*
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[MG] über million vierzig million preiswert
1290581 | 31-45m
20 million dollars.
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$NUM-TENS2A:2d $NUM-MILLION1* $NUM-TENS2A:2d* $NUM-MILLION1* DOLLAR1
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M
million million dollar
1290581 | 31-45m
The budget in Australia was smaller, not even twenty million.
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TO-DECREASE1^* $NUM-ONE-TO-TEN1A:2d* $NUM-ONE-TO-TEN1A:3d $NUM-MILLION1* DONE4
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[MG] zwei bis drei million [MG]
1290581 | 31-45m
20 million dollars.
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$NUM-TENS2A:2d $NUM-MILLION1* $NUM-TENS2A:2d* $NUM-MILLION1* DOLLAR1
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million million dollar
1184145 | 61+m
It is supposed to cost 20 Million euros.
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TO-COST1* APPROXIMATELY2 $NUM-TENS2A:2* $NUM-MILLION1*
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kosten ungefähr zwanzig millionen
1246100 | 18-30m
But Frankfurt doesn’t even have 1 million inhabitants.
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$INDEX1 FRANKFURT1* $NUM-ONE-TO-TEN1A:1d $NUM-MILLION1* NONE7B* $GEST^
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aber frankfurt eine million [MG]
1246100 | 18-30m
Here in Germany there are 80 million inhabitants, it’s a relatively small country, and over there there are more than a billion inhabitants.
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$INDEX1 GERMAN1 $NUM-TENS2A:8d* $NUM-MILLION1* SMALL2* INDIA3* $INDEX1
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deutsch achtzig millionen indien
1292458 | 18-30m
There, Paris is the only city of over a million inhabitants.
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VERY6* SOLE1* $INDEX1 $NUM-MILLION1* CITY2 $INDEX1
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[MG] einzig million stadt
1247199 | 46-60f
He was able to say that they would get - I don't know how much - maybe a million or a hundred thousand dollars if they were able to meet their educational goals.
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DONT-KNOW2* HOW-MUCH3A TO-SAY1* $NUM-MILLION1* OR6B* $NUM-HUNDREDS1:1 $NUM-THOUSAND2
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weiß nicht wie viel sagt millionen oder hunderttausend
1177860 | 61+m
Germany paid millions to support them.
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$NUM-MILLION1* TO-GIVE4^*
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millionen [MG]
1413251 | 31-45m
Millions, surely.
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$NUM-MILLION1* CERTAIN2
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M
million bestimmt
1184536 | 31-45m
How could we have millions of words in our heads?
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$NUM-MILLION1* $INDEX1 $PROD $INDEX1
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HOW-QUESTION2*
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wie million
1584545 | 18-30f
They produce millions of pieces of chocolate every day, and they deliver their supplies to every imaginable area.
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ROUND6A^* HERE-NOW1^* DAY1B $NUM-MILLION1* ALREADY1A ROUND6A^* CLEAR1A*
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stück am tag millionen klar
1413703 | 46-60m
They now observe things more closely because there was this man in Slovakia who embezzled a lot of money. Supporting documents for two million euros went missing.
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PROOF1 $INDEX1 $NUM-ONE-TO-TEN1A:2 $NUM-MILLION1* TO-EMBEZZLE-MONEY1* $GEST-OFF1^
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$INDEX1
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beweis zwei millionen
1585089 | 31-45m
I think, on average, half a million.
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I1 AVERAGE1B HALF1A $NUM-MILLION1* HALF1B $NUM-MILLION1*
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halb million halb millio{n}
1248699 | 18-30m
It costs two or three million or so to build one, but I don’t really know.
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PERSON1^ $NUM-ONE-TO-TEN1A:2d $NUM-ONE-TO-TEN1A:3d $NUM-MILLION1* TO-KNOW-STH2B* NOT1*
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zwei drei million weiß nicht
1585089 | 31-45m
I think, on average, half a million.
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HALF1A $NUM-MILLION1* HALF1B $NUM-MILLION1*
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halb million halb millio{n}
1292458 | 18-30m
All the others haven’t reached a million, I think.
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ROUND3A^ TO-BELIEVE2B NOT-YET3 $NUM-MILLION1* TO-ACCOMPLISH1C
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$INDEX1
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glauben noch nicht erreicht
1584545 | 18-30f
They produce millions of pieces of chocolate every day, and they deliver their supplies to every imaginable area.
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$GEST-I-DONT-KNOW1^* $NUM-MILLION1* ROUND6A^* HERE-NOW1^* DAY1B
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$INDEX1 $GEST-TO-PONDER1^
M
millionen stück am tag
1246100 | 18-30m
In India there’s many million deaf people.
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INDIA3* COUNTRY1A* $GEST^ $NUM-MILLION1* DEAF1A* PRESENT-OR-HERE1* $INDEX1
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indien millionen da
1246100 | 18-30m
Hearing people, deaf people, 20 million inhabitants in total.
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DEAF1A* $GEST^ $NUM-TENS2A:2d $NUM-MILLION1* AMOUNT1A^*
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[MG] zwanzig million
1184536 | 31-45m
But what would you say about spoken and signed languages: There are millions of words in every language. How is that supposed to work?
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HOW-MUCH3A LANGUAGE1* TO-THINK1B* $NUM-MILLION1* WORD1* $GEST^
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wie viel sprache denken million wort
Translational equivalent: billion
by transcript | by glosses | by right neighbours | by left neighbours
1413251 | 31-45m
There are 1.2 billion people in this huge area.
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$NUM-ONE-TO-TEN1A:1d COMMA1* $NUM-ONE-TO-TEN1A:2d $NUM-BILLION1* HUMAN2*
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$GEST-OFF1^*
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ein komma zwei milliarden menschen
1413251 | 31-45m
300 million inhabitants there, 1.2 billion here, that could take a while.
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$NUM-ONE-TO-TEN1A:1d COMMA1* $NUM-ONE-TO-TEN1A:2d* $NUM-BILLION1* FOR-HOURS1*
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eins komma zwei millia{rden} [MG]
1209309-… | 18-30m
Billions of that is taken away through taxes.
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$NUM-BILLION1* TAX1* TO-DEDUCT2B
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$GEST-OFF1^*
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milliarde steuer ab
1177860 | 61+m
They receive billions.
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$INDEX1* $NUM-BILLION1* $INDEX1* TO-GIVE-HOLD-ON-TO1A*
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M
milliarden
1246100 | 18-30m
Here in Germany there are 80 million inhabitants, it’s a relatively small country, and over there there are more than a billion inhabitants.
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SMALL2* INDIA3* $INDEX1 $NUM-BILLION1* $GEST^
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M
millionen indien milliarde
1248400 | 46-60m
If China opened up, not millions of people but billions of their citizens would spread across the globe.
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$NUM-MILLION1 TO-SIT1A^ NO1A^ $NUM-BILLION1 PRESENT-OR-HERE1 $GEST-OFF1^ OTHERWISE1
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millionen einwohner milliarden sonst
1428472 | 61+m
But Mercedes made billions, and they didn’t care for the deaf and disabled.
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$GEST-DECLINE1^ $ORG-MERCEDES3 $INDEX1 $NUM-BILLION1 DEAF-MUTE1 OFF-OR-TO-REMOVE-STH1A DISABILITY1*
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mercedes milliarde taubstumm [MG] behinderte
1413251 | 31-45m
Europe is huge, there are around 1.2 billion people that need to be notified, one should think in large scales there.
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$NUM-ONE-TO-TEN1A:1d COMMA1* $NUM-ONE-TO-TEN1A:2d $NUM-BILLION1 HUMAN2* TO-LET-KNOW1A* $INDEX1
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ein komma zwei milliarden mensch [MG]
1248400 | 46-60m
If China opened up, not millions of people but billions of their citizens would spread across the globe.
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$INDEX1* TO-KNOW-STH2A* $INDEX1* $NUM-BILLION1 $INDEX4 $NUM-MILLION1 TO-SIT1A^
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$GEST-OFF1^*
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milliarden millionen einwohner»
