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
- Editors:
- Antti Arppe, Jeff Good, Mans Hulden, Jordan Lachler, Alexis Palmer, Lane Schwartz, Miikka Silfverberg
- Venue:
- ComputEL
- SIG:
- SIGEL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 81–86
- Language:
- URL:
- https://aclanthology.org/W19-6011
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/W19-6011.pdf