Induced Inflection-Set Keyword Search in Speech
Oliver Adams, Matthew Wiesner, Jan Trmal, Garrett Nicolai, David Yarowsky
Abstract
We investigate the problem of searching for a lexeme-set in speech by searching for its inflectional variants. Experimental results indicate how lexeme-set search performance changes with the number of hypothesized inflections, while ablation experiments highlight the relative importance of different components in the lexeme-set search pipeline and the value of using curated inflectional paradigms. We provide a recipe and evaluation set for the community to use as an extrinsic measure of the performance of inflection generation approaches.- Anthology ID:
- 2020.sigmorphon-1.25
- Volume:
- Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Editors:
- Garrett Nicolai, Kyle Gorman, Ryan Cotterell
- Venue:
- SIGMORPHON
- SIG:
- SIGMORPHON
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 210–216
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2020.sigmorphon-1.25/
- DOI:
- 10.18653/v1/2020.sigmorphon-1.25
- Cite (ACL):
- Oliver Adams, Matthew Wiesner, Jan Trmal, Garrett Nicolai, and David Yarowsky. 2020. Induced Inflection-Set Keyword Search in Speech. In Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 210–216, Online. Association for Computational Linguistics.
- Cite (Informal):
- Induced Inflection-Set Keyword Search in Speech (Adams et al., SIGMORPHON 2020)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2020.sigmorphon-1.25.pdf
- Code
- oadams/inflection-kws