NEGATIVE2^
= NEGATIVE2 (1 token) |
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| Translational equivalent: negative (finding, e.g. medical) | |||||||
| by transcript | by glosses | by right neighbours | by left neighbours | |||||||
| 1246100 1246100 | 18-30m I can’t really assess things over there as positive or negative, because it was both of those and also especially the people over there are completely different. | |||||||
| R | LIKE1A* | POSITIVE1* | OR4A* | NEGATIVE2 | TO-MIX2* | LIKE-THIS1A* | HIS-HER1 |
|---|---|---|---|---|---|---|---|
| L | |||||||
| M | wie | [MG] | oder | negativ | [MG] | so | |