Survey on the Use of Typological Information in Natural Language Processing
Helen O’Horan, Yevgeni Berzak, Ivan Vulić, Roi Reichart, Anna Korhonen
Abstract
In recent years linguistic typologies, which classify the world’s languages according to their functional and structural properties, have been widely used to support multilingual NLP. While the growing importance of typologies in supporting multilingual tasks has been recognised, no systematic survey of existing typological resources and their use in NLP has been published. This paper provides such a survey as well as discussion which we hope will both inform and inspire future work in the area.- Anthology ID:
- C16-1123
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Yuji Matsumoto, Rashmi Prasad
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 1297–1308
- Language:
- URL:
- https://aclanthology.org/C16-1123
- DOI:
- Cite (ACL):
- Helen O’Horan, Yevgeni Berzak, Ivan Vulić, Roi Reichart, and Anna Korhonen. 2016. Survey on the Use of Typological Information in Natural Language Processing. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 1297–1308, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Survey on the Use of Typological Information in Natural Language Processing (O’Horan et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/C16-1123.pdf
- Data
- Universal Dependencies