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.- Anthology ID:
- W18-2905
- Volume:
- Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP
- Month:
- July
- Year:
- 2018
- Address:
- Melbourne, Australia
- Editors:
- Georgiana Dinu, Miguel Ballesteros, Avirup Sil, Sam Bowman, Wael Hamza, Anders Sogaard, Tahira Naseem, Yoav Goldberg
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 28–37
- Language:
- URL:
- https://aclanthology.org/W18-2905
- DOI:
- 10.18653/v1/W18-2905
- Cite (ACL):
- Marzena Karpinska, Bofang Li, Anna Rogers, and Aleksandr Drozd. 2018. Subcharacter Information in Japanese Embeddings: When Is It Worth It?. In Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP, pages 28–37, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- Subcharacter Information in Japanese Embeddings: When Is It Worth It? (Karpinska et al., ACL 2018)
- PDF:
- https://preview.aclanthology.org/naacl24-info/W18-2905.pdf