Challenges of language technologies for the indigenous languages of the Americas

Manuel Mager, Ximena Gutierrez-Vasques, Gerardo Sierra, Ivan Meza-Ruiz


Abstract
Indigenous languages of the American continent are highly diverse. However, they have received little attention from the technological perspective. In this paper, we review the research, the digital resources and the available NLP systems that focus on these languages. We present the main challenges and research questions that arise when distant languages and low-resource scenarios are faced. We would like to encourage NLP research in linguistically rich and diverse areas like the Americas.
Anthology ID:
C18-1006
Volume:
Proceedings of the 27th International Conference on Computational Linguistics
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Editors:
Emily M. Bender, Leon Derczynski, Pierre Isabelle
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
55–69
Language:
URL:
https://aclanthology.org/C18-1006
DOI:
Bibkey:
Cite (ACL):
Manuel Mager, Ximena Gutierrez-Vasques, Gerardo Sierra, and Ivan Meza-Ruiz. 2018. Challenges of language technologies for the indigenous languages of the Americas. In Proceedings of the 27th International Conference on Computational Linguistics, pages 55–69, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
Challenges of language technologies for the indigenous languages of the Americas (Mager et al., COLING 2018)
Copy Citation:
PDF:
https://aclanthology.org/C18-1006.pdf
Code
 pywirrarika/naki