Abstract
This paper describes the JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morpheme Segmentation. In this paper we describe probabilistic model trained with the Expectation-Maximization algorithm, we provide the results and analyze sources of errors and general limitations of our approach. The model was implemented within our own modular probabilistic framework.- Anthology ID:
- 2022.sigmorphon-1.17
- Volume:
- Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
- Month:
- July
- Year:
- 2022
- Address:
- Seattle, Washington
- Editors:
- Garrett Nicolai, Eleanor Chodroff
- Venue:
- SIGMORPHON
- SIG:
- SIGMORPHON
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 152–156
- Language:
- URL:
- https://aclanthology.org/2022.sigmorphon-1.17
- DOI:
- 10.18653/v1/2022.sigmorphon-1.17
- Cite (ACL):
- Jan Bodnár. 2022. JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation. In Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 152–156, Seattle, Washington. Association for Computational Linguistics.
- Cite (Informal):
- JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation (Bodnár, SIGMORPHON 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2022.sigmorphon-1.17.pdf
- Data
- UniMorph 4.0