Modeling Letter-to-Phoneme Conversion as a Phrase Based Statistical Machine Translation Problem with Minimum Error Rate Training

Taraka Rama, Anil Kumar Singh, Sudheer Kolachina


Anthology ID:
N09-3016
Volume:
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Month:
June
Year:
2009
Address:
Boulder, Colorado
Editors:
Ulrich Germann, Chirag Shah, Svetlana Stoyanchev, Carolyn Penstein Rosé, Anoop Sarkar
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
90–95
Language:
URL:
https://aclanthology.org/N09-3016
DOI:
Bibkey:
Cite (ACL):
Taraka Rama, Anil Kumar Singh, and Sudheer Kolachina. 2009. Modeling Letter-to-Phoneme Conversion as a Phrase Based Statistical Machine Translation Problem with Minimum Error Rate Training. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium, pages 90–95, Boulder, Colorado. Association for Computational Linguistics.
Cite (Informal):
Modeling Letter-to-Phoneme Conversion as a Phrase Based Statistical Machine Translation Problem with Minimum Error Rate Training (Rama et al., NAACL 2009)
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PDF:
https://aclanthology.org/N09-3016.pdf