Computational Challenges for Polysynthetic Languages

Judith L. Klavans


Abstract
Given advances in computational linguistic analysis of complex languages using Machine Learning as well as standard Finite State Transducers, coupled with recent efforts in language revitalization, the time was right to organize a first workshop to bring together experts in language technology and linguists on the one hand with language practitioners and revitalization experts on the other. This one-day meeting provides a promising forum to discuss new research on polysynthetic languages in combination with the needs of linguistic communities where such languages are written and spoken.
Anthology ID:
W18-4801
Volume:
Proceedings of the Workshop on Computational Modeling of Polysynthetic Languages
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Editor:
Judith L. Klavans
Venue:
PYLO
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–11
Language:
URL:
https://aclanthology.org/W18-4801
DOI:
Bibkey:
Cite (ACL):
Judith L. Klavans. 2018. Computational Challenges for Polysynthetic Languages. In Proceedings of the Workshop on Computational Modeling of Polysynthetic Languages, pages 1–11, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
Computational Challenges for Polysynthetic Languages (Klavans, PYLO 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-4801.pdf