OSU at SigMorphon 2022: Analogical Inflection With Rule Features

Micha Elsner, Sara Court


Abstract
OSU’s inflection system is a transformer whose input is augmented with an analogical exemplar showing how to inflect a different word into the target cell. In addition, alignment-based heuristic features indicate how well the exemplar is likely to match the output. OSU’s scores substantially improve over the baseline transformer for instances where an exemplar is available, though not quite matching the challenge winner. In Part 2, the system shows a tendency to over-apply the majority pattern in English, but not Arabic.
Anthology ID:
2022.sigmorphon-1.22
Volume:
Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
Month:
July
Year:
2022
Address:
Seattle, Washington
Venue:
SIGMORPHON
SIG:
SIGMORPHON
Publisher:
Association for Computational Linguistics
Note:
Pages:
220–225
Language:
URL:
https://aclanthology.org/2022.sigmorphon-1.22
DOI:
10.18653/v1/2022.sigmorphon-1.22
Bibkey:
Cite (ACL):
Micha Elsner and Sara Court. 2022. OSU at SigMorphon 2022: Analogical Inflection With Rule Features. In Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 220–225, Seattle, Washington. Association for Computational Linguistics.
Cite (Informal):
OSU at SigMorphon 2022: Analogical Inflection With Rule Features (Elsner & Court, SIGMORPHON 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.sigmorphon-1.22.pdf
Video:
 https://aclanthology.org/2022.sigmorphon-1.22.mp4
Code
 melsner/transformerbyexample