Exploration of the Impact of Maximum Entropy in Recurrent Neural Network Language Models for Code-Switching Speech

Ngoc Thang Vu, Tanja Schultz


Anthology ID:
W14-3904
Volume:
Proceedings of the First Workshop on Computational Approaches to Code Switching
Month:
October
Year:
2014
Address:
Doha, Qatar
Editors:
Mona Diab, Julia Hirschberg, Pascale Fung, Thamar Solorio
Venue:
CodeSwitch
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
34–41
Language:
URL:
https://aclanthology.org/W14-3904
DOI:
10.3115/v1/W14-3904
Bibkey:
Cite (ACL):
Ngoc Thang Vu and Tanja Schultz. 2014. Exploration of the Impact of Maximum Entropy in Recurrent Neural Network Language Models for Code-Switching Speech. In Proceedings of the First Workshop on Computational Approaches to Code Switching, pages 34–41, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):
Exploration of the Impact of Maximum Entropy in Recurrent Neural Network Language Models for Code-Switching Speech (Vu & Schultz, CodeSwitch 2014)
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PDF:
https://aclanthology.org/W14-3904.pdf