One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

Alham Fikri Aji, Genta Indra Winata, Fajri Koto, Samuel Cahyawijaya, Ade Romadhony, Rahmad Mahendra, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Timothy Baldwin, Jey Han Lau, Sebastian Ruder


Abstract
NLP research is impeded by a lack of resources and awareness of the challenges presented by underrepresented languages and dialects. Focusing on the languages spoken in Indonesia, the second most linguistically diverse and the fourth most populous nation of the world, we provide an overview of the current state of NLP research for Indonesia’s 700+ languages. We highlight challenges in Indonesian NLP and how these affect the performance of current NLP systems. Finally, we provide general recommendations to help develop NLP technology not only for languages of Indonesia but also other underrepresented languages.
Anthology ID:
2022.acl-long.500
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:
7226–7249
Language:
URL:
https://aclanthology.org/2022.acl-long.500
DOI:
10.18653/v1/2022.acl-long.500
Bibkey:
Cite (ACL):
Alham Fikri Aji, Genta Indra Winata, Fajri Koto, Samuel Cahyawijaya, Ade Romadhony, Rahmad Mahendra, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Timothy Baldwin, Jey Han Lau, and Sebastian Ruder. 2022. One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7226–7249, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia (Aji et al., ACL 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.acl-long.500.pdf