Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik

Emily Chen


Abstract
The adaptation of neural approaches to NLP is a landmark achievement that has called into question the utility of linguistics in the development of computational systems. This research proposal consequently explores this question in the context of a neural morphological analyzer for a polysynthetic language, St. Lawrence Island Yupik. It asks whether incorporating elements of Yupik linguistics into the implementation of the analyzer can improve performance, both in low-resource settings and in high-resource settings, where rich quantities of data are readily available.
Anthology ID:
P19-2004
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Month:
July
Year:
2019
Address:
Florence, Italy
Editors:
Fernando Alva-Manchego, Eunsol Choi, Daniel Khashabi
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
27–33
Language:
URL:
https://aclanthology.org/P19-2004
DOI:
10.18653/v1/P19-2004
Bibkey:
Cite (ACL):
Emily Chen. 2019. Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 27–33, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik (Chen, ACL 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/P19-2004.pdf