Abstract
Universal Dependencies incur a high cost in computation for unbiased system development. We propose a 100% empirically chosen small subset of UD languages for efficient parsing system development. The technique used is based on measurements of model capacity globally. We show that the diversity of the resulting representative language set is superior to the requirements-based procedure.
| Original language | English |
|---|---|
| Journal | NEALT (Northern European Association of Language Technology) Proceedings Series |
| Volume | 31 |
| Pages (from-to) | 117-122 |
| ISSN | 1736-6305 |
| Publication status | Published - 2017 |
| Event | NoDaLiDa 2017 Workshop on Universal Dependencies - Gothenburg, Sweden Duration: 22 May 2017 → … |
Workshop
| Workshop | NoDaLiDa 2017 Workshop on Universal Dependencies |
|---|---|
| Country/Territory | Sweden |
| City | Gothenburg |
| Period | 22/05/2017 → … |
Keywords
- Universal Dependencies
- Parsers
- Language subset selection
- Model capacity
- Empirical methods