Abstract
This paper presents cross-lingual models for dependency parsing using the first release of the universal dependencies data set. We systematically compare annotation projection with monolingual baseline models and study the effect of predicted PoS labels in evaluation. Our results reveal the strong impact of tagging accuracy especially with models trained on noisy projected data sets.This paper quantifies the differences that can be observed when replacing gold standard labels and our results should influence application developers that rely on crosslingual models that are not tested in realistic scenarios.
| Original language | Other/Unknown |
|---|---|
| Title of host publication | Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015) |
| Number of pages | 10 |
| Place of Publication | Uppsala |
| Publisher | Uppsala University |
| Publication date | 1 Aug 2015 |
| Pages | 340-349 |
| Publication status | Published - 1 Aug 2015 |
| Externally published | Yes |
| MoE publication type | A4 Article in conference proceedings |
| Event | International conference on dependency linguistics - Uppsala, Sweden Duration: 24 Aug 2015 → 26 Aug 2015 Conference number: 3 |
Fields of Science
- 6121 Languages