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
Venues:
ACL | SIGMORPHON | WS
SIG:
SIGMORPHON
Publisher:
Association for Computational Linguistics
Note:
Pages:
210–216
Language:
URL:
https://aclanthology.org/2020.sigmorphon-1.25
DOI:
10.18653/v1/2020.sigmorphon-1.25
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2020.sigmorphon-1.25.pdf
Video:
 http://slideslive.com/38929878
Code
 oadams/inflection-kws