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:
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/C16-1123.pdf
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