A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification

Karim Filali, Jeff Bilmes


Anthology ID:
P05-1042
Volume:
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)
Month:
June
Year:
2005
Address:
Ann Arbor, Michigan
Editors:
Kevin Knight, Hwee Tou Ng, Kemal Oflazer
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
338–345
Language:
URL:
https://aclanthology.org/P05-1042
DOI:
10.3115/1219840.1219882
Bibkey:
Cite (ACL):
Karim Filali and Jeff Bilmes. 2005. A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05), pages 338–345, Ann Arbor, Michigan. Association for Computational Linguistics.
Cite (Informal):
A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification (Filali & Bilmes, ACL 2005)
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PDF:
https://aclanthology.org/P05-1042.pdf