| Paper: | SLP-P6.5 | ||
| Session: | Speech Understanding, Translation, Applications and Systems | ||
| Time: | Tuesday, May 16, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Speech-to-Speech Machine Translation | ||
| Title: | Statistical Phrase-Based Speech Translation | ||
| Authors: | Lambert Mathias, CLSP / The Johns Hopkins University, United States; William Byrne, University of Cambridge, United Kingdom | ||
| Abstract: | A generative statistical model of speech-to-text translation is developed as an extension of existing models of phrase-based text translation. Speech is translated by mapping ASR word lattices to lattices of phrase sequences which are then translated using operations developed for text translation. Performance is reported on Chinese to English translation of Mandarin Broadcast News. | ||
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