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%0 Conference Proceedings
%T A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification
%A Filali, Karim
%A Bilmes, Jeff
%Y Knight, Kevin
%Y Ng, Hwee Tou
%Y Oflazer, Kemal
%S Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)
%D 2005
%8 June
%I Association for Computational Linguistics
%C Ann Arbor, Michigan
%F filali-bilmes-2005-dynamic
%R 10.3115/1219840.1219882
%U https://aclanthology.org/P05-1042
%U https://doi.org/10.3115/1219840.1219882
%P 338-345

Markdown (Informal)

[A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification](https://aclanthology.org/P05-1042) (Filali & Bilmes, ACL 2005)

• A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification (Filali & Bilmes, ACL 2005)

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.