Computational Historical Linguistics and Language Diversity in South Asia

Aryaman Arora, Adam Farris, Samopriya Basu, Suresh Kolichala


Abstract
South Asia is home to a plethora of languages, many of which severely lack access to new language technologies. This linguistic diversity also results in a research environment conducive to the study of comparative, contact, and historical linguistics–fields which necessitate the gathering of extensive data from many languages. We claim that data scatteredness (rather than scarcity) is the primary obstacle in the development of South Asian language technology, and suggest that the study of language history is uniquely aligned with surmounting this obstacle. We review recent developments in and at the intersection of South Asian NLP and historical-comparative linguistics, describing our and others’ current efforts in this area. We also offer new strategies towards breaking the data barrier.
Anthology ID:
2022.acl-long.99
Volume:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1396–1409
Language:
URL:
https://aclanthology.org/2022.acl-long.99
DOI:
10.18653/v1/2022.acl-long.99
Bibkey:
Cite (ACL):
Aryaman Arora, Adam Farris, Samopriya Basu, and Suresh Kolichala. 2022. Computational Historical Linguistics and Language Diversity in South Asia. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1396–1409, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Computational Historical Linguistics and Language Diversity in South Asia (Arora et al., ACL 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.acl-long.99.pdf
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