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 |
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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