lex4all: A language-independent tool for building and evaluating pronunciation lexicons for small-vocabulary speech recognition

Anthology ID:: P14-5019
Volume:: Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Month:: June
Year:: 2014
Address:: Baltimore, Maryland
Editors:: Kalina Bontcheva, Jingbo Zhu
Venue:: ACL
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 109–114
Language:
URL:: https://aclanthology.org/P14-5019
DOI:: 10.3115/v1/P14-5019
Bibkey:
Cite (ACL):: Anjana Vakil, Max Paulus, Alexis Palmer, and Michaela Regneri. 2014. lex4all: A language-independent tool for building and evaluating pronunciation lexicons for small-vocabulary speech recognition. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 109–114, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):: lex4all: A language-independent tool for building and evaluating pronunciation lexicons for small-vocabulary speech recognition (Vakil et al., ACL 2014)
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PDF:: https://preview.aclanthology.org/naacl24-info/P14-5019.pdf
Code: lex4all/lex4all