| by transcript | by glosses | by right neighbours | by left neighbours |
| 1248699 1248699 | 18-30f
The plane crashed into the tower, and I saw how people were jumping down. |
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| | | PLANE-IMPACT1^* | PICTURE1 | $INDEX1 | TO-FALL2B |
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[MG] | bild | [MG] |
| 1250061-12113327-12180631 1250061-… | 18-30f
The second plane's planned destination was the White House, but it crashed somewhere else. |
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| | | PLANE-IMPACT1^* | $INDEX1* | PLAN1A | SHOULD1 |
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| | plan | soll |
| 1248699 1248699 | 18-30f
Using simple gestures, he tried to tell us that two huge towers were hit by airplanes. |
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$INDEX1* | HIGH-RISE3 | $INDEX1 | PLANE-IMPACT1^* | I1 | | |
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| |
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| zwei | | [L09] |
| 1250061-12113327-12180631 1250061-… | 18-30f
Yet, it didn't crash into the White House. It crashed somewhere else. |
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BUT1* | $GEST-ATTENTION1^ | ALREADY1A | PLANE-IMPACT1^* | MISSED1A | AIRPLANE2A^* | |
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| | | |
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aber | | | | futsch | |
| 1291892 1291892 | 31-45m
When for instance the airplanes crashed into the towers in New York, there was a huge alarm, and people are extremely monitored since then. |
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$INDEX1 | NEW-YORK1* | $INDEX1 | PLANE-IMPACT1^* | ALERT1* | MUST1 | SHARP1B |
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beispiel | new york | | | alarm | muss | scharf |
| 1250061-12113327-12180631 1250061-… | 18-30f
The second plane's planned destination was the White House, but it crashed somewhere else. |
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SHOULD1 | WHITE1A | NARROW1A^* | PLANE-IMPACT1^* | | | |
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| | | $INDEX1 | $NUM-ONE-TO-TEN1A:2d | $INDEX1 |
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soll | weiß | | | | |
| 2021499 2021499 | 46-60m
And even if a plane crashes into a building then, they know how to put the fire out. |
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| | | PLANE-IMPACT1^ | $INDEX1 | TO-KNOW-STH2B | TO-TRY1* |
| L |
| | |
| M |
[MG] | [MG] | | versuch |
| 1248699 1248699 | 18-30m
So the planes crashed into the towers, which was bad. |
| R |
| | | PLANE-IMPACT1^ | | | |
| L |
BAD3B* |
| M |
| schlimm |
| 1248699 1248699 | 18-30m
The plane crashed into the building and made it collapse. |
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| | | PLANE-IMPACT1^ | TO-FALL-DOWN4* | | |
| L |
|
| M |
[MG] | [MG] |
| 2021499 2021499 | 46-60m
How were they supposed to calculate how it would be to have planes crashing into the buildings? |
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| | OF-ALL-THINGS2* | PLANE-IMPACT1^ | $INDEX1* | OF-ALL-THINGS2* | HOW-QUESTION2* |
| L |
| |
| M |
aus{rechnen} | | | | wie |
| 1248699 1248699 | 18-30m
Then another plane crashed into the second building. |
| R |
| | | PLANE-IMPACT1^ | | | |
| L |
$NUM-ORDINAL1:2d |
| M |
zweite | |
| 1248699 1248699 | 18-30m
The educator kept on talking about it; it sounded cruel and really bad. |
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| | $GEST-OFF1^ | PLANE-IMPACT1^ | I1 | TO-EDUCATE1A | |
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TO-TELL4 | I2 |
| M |
| [MG] | | erzieher | [MG]» |
| 1248699 1248699 | 18-30m
The educator told us how bad the collapse had been in New York, as planes had crashed into the towers. |
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NEW-YORK1* | TO-FALL-DOWN4* | BAD3B* | PLANE-IMPACT1^ | | | |
| L |
| M |
new york | | schlimm | [MG] |
| 1248699 1248699 | 18-30m
How sick of these evil people from Afghanistan to crash into the towers. |
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AFGHANISTAN1* | $INDEX1* | EVIL5 | PLANE-IMPACT1^ | $GEST-OFF1^ | | |
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| | |
| M |
afgha{nistan} | böse | [MG] | |
