| Göttingen | dgskorpus_goe_07 | 18-30m The educator told us how bad the collapse had been in New York, as planes had crashed into the towers. |
| r | NEW-YORK1* | TO-FALL-DOWN4* | BAD3B* | PLANE-CRASH1^ |
| l |
| m | … | | schlimm | [MG] |
| Göttingen | dgskorpus_goe_07 | 18-30m So the planes crashed into the towers, which was bad. |
| r | | | | PLANE-CRASH1^ | |
| l | BAD3B* |
| m | | schlimm |
| Göttingen | dgskorpus_goe_07 | 18-30m The plane crashed into the building and made it collapse. |
| r | | | | PLANE-CRASH1^ | TO-FALL-DOWN4* |
| l | |
| m | [MG] | [MG] |
| Göttingen | dgskorpus_goe_07 | 18-30m Then another plane crashed into the second building. |
| r | | | | PLANE-CRASH1^ |
| l | $NUM-ORDINAL1:2d |
| m | zweite | |
| Göttingen | dgskorpus_goe_07 | 18-30m How sick of these evil people from Afghanistan to crash into the towers. |
| r | AFGHANISTAN1* | $INDEX1* | EVIL5 | PLANE-CRASH1^ | $GEST-OFF^ |
| l | | | |
| m | … | böse | [MG] | |
| Göttingen | dgskorpus_goe_07 | 18-30m The educator kept on talking about it; it sounded cruel and really bad. |
| r | | | $GEST-OFF^ | PLANE-CRASH1^ | I1 | EDUCATION-OR-UPBRINGING1A | |
| l | TO-TELL4 | I2 |
| m | | [MG] | | erzieher | [MG] |
| Bremen | dgskorpus_hb_06 | 31-45f How were they supposed to calculate how it would be to have planes crashing into the buildings? |
| r | | | OF-ALL-THINGS2* | PLANE-CRASH1^ | $INDEX1* | OF-ALL-THINGS2* | HOW-QUESTION-COMPARISON1* |
| l | | |
| m | aus{rechnen} | | | | wie |
| Bremen | dgskorpus_hb_06 | 31-45f And even if a plane crashes into a building then, they know how to put the fire out. |
| r | | | | PLANE-CRASH1^ | $INDEX1 | TO-KNOW-OR-KNOWLEDGE2B | TO-TRY1* |
| l | | | |
| m | [MG] | [MG] | | versuch |
| Göttingen | dgskorpus_goe_07 | 18-30m Using simple gestures, he tried to tell us that two huge towers were hit by airplanes. |
| r | $INDEX1* | HIGH-RISE3 | $INDEX1 | PLANE-CRASH1^* | I1 |
| l | | |
| m | | zwei | | [L09] |
| Göttingen | dgskorpus_goe_07 | 18-30m The plane crashed into the tower, and I saw how people were jumping down. |
| r | | | | PLANE-CRASH1^* | PICTURE4 | $INDEX1 | TO-FALL2B |
| l | | |
| m | [MG] | bild | [MG] |
| Münster | dgskorpus_mst_12 | 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. |
| r | $INDEX1 | NEW-YORK1* | $INDEX1 | PLANE-CRASH1^* | ALERT1* | MUST1 | SHARP1B |
| l | | | |
| m | … | new york | | | alarm | muss | scharf |
| Rostock | dgskorpus_mvp_03 | 18-30m Yet, it didn't crash into the White House. It crashed somewhere else. |
| r | BUT1* | $GEST-ATTENTION1^ | END1^ | PLANE-CRASH1^* | GONE-OR-MISSED1A | AIRPLANE2A^* |
| l | | | | |
| m | aber | | | | futsch | |
| Rostock | dgskorpus_mvp_03 | 18-30m The second plane's planned destination was the White House, but it crashed somewhere else. |
| r | | | | PLANE-CRASH1^* | $INDEX1* | PLAN1A | SHALL1 |
| l | | |
| m | | | plan | soll |
| Rostock | dgskorpus_mvp_03 | 18-30m The second plane's planned destination was the White House, but it crashed somewhere else. |
| r | SHALL1 | WHITE1A | NARROW1A^ | PLANE-CRASH1^* | | | |
| l | | | $INDEX1 | $NUM-ONE-TO-TEN1A:2d | $INDEX1 |
| m | soll | weiß | | | | |
