Abstract
Languages with logographic writing systems present a difficulty for traditional character-level models. Leveraging the subcharacter information was recently shown to be beneficial for a number of intrinsic and extrinsic tasks in Chinese. We examine whether the same strategies could be applied for Japanese, and contribute a new analogy dataset for this language.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP |
| Antal sider | 10 |
| Udgivelsessted | Melbourne, Australia |
| Forlag | Association for Computational Linguistics |
| Publikationsdato | 2018 |
| Sider | 28-37 |
| Status | Udgivet - 2018 |
Emneord
- Logographic writing systems
- Character-level models
- Subcharacter information
- Chinese language processing
- Japanese language analogies