Improving Low-Resource Morphological Learning with Intermediate Forms from Finite State Transducers

Sarah Moeller, Ghazaleh Kazeminejad, Andrew Cowell, Mans Hulden


Anthology ID:
W19-6011
Volume:
Proceedings of the 3rd Workshop on the Use of Computational Methods in the Study of Endangered Languages Volume 1 (Papers)
Month:
February
Year:
2019
Address:
Honolulu
Venue:
ComputEL
SIG:
SIGEL
Publisher:
Association for Computational Linguistics
Note:
Pages:
81–86
Language:
URL:
https://aclanthology.org/W19-6011
DOI:
Bibkey:
Cite (ACL):
Sarah Moeller, Ghazaleh Kazeminejad, Andrew Cowell, and Mans Hulden. 2019. Improving Low-Resource Morphological Learning with Intermediate Forms from Finite State Transducers. In Proceedings of the 3rd Workshop on the Use of Computational Methods in the Study of Endangered Languages Volume 1 (Papers), pages 81–86, Honolulu. Association for Computational Linguistics.
Cite (Informal):
Improving Low-Resource Morphological Learning with Intermediate Forms from Finite State Transducers (Moeller et al., ComputEL 2019)
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PDF:
https://aclanthology.org/W19-6011.pdf