@inproceedings{adams-etal-2020-induced,
title = "Induced Inflection-Set Keyword Search in Speech",
author = "Adams, Oliver and
Wiesner, Matthew and
Trmal, Jan and
Nicolai, Garrett and
Yarowsky, David",
editor = "Nicolai, Garrett and
Gorman, Kyle and
Cotterell, Ryan",
booktitle = "Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.sigmorphon-1.25/",
doi = "10.18653/v1/2020.sigmorphon-1.25",
pages = "210--216",
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."
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<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.</abstract>
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%0 Conference Proceedings
%T Induced Inflection-Set Keyword Search in Speech
%A Adams, Oliver
%A Wiesner, Matthew
%A Trmal, Jan
%A Nicolai, Garrett
%A Yarowsky, David
%Y Nicolai, Garrett
%Y Gorman, Kyle
%Y Cotterell, Ryan
%S Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F adams-etal-2020-induced
%X 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.
%R 10.18653/v1/2020.sigmorphon-1.25
%U https://aclanthology.org/2020.sigmorphon-1.25/
%U https://doi.org/10.18653/v1/2020.sigmorphon-1.25
%P 210-216
Markdown (Informal)
[Induced Inflection-Set Keyword Search in Speech](https://aclanthology.org/2020.sigmorphon-1.25/) (Adams et al., SIGMORPHON 2020)
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.