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. Modeling Letter-to-Phoneme Conversion as a Phrase Based Statistical Machine Translation Problem with Minimum Error Rate Training. In Anoop Sarkar, Carolyn Penstein Rosé, Svetlana Stoyanchev, Ulrich Germann, Chirag Shah, editors, Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31 - June 5, 2009, Boulder, Colorado, USA, Student Research Workshop and Doctoral Consortium. pages 90-95, The Association for Computational Linguistics, 2009. [doi]

Abstract

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