Reducing Confusions and Ambiguities in Speech Translation – Pascale Fung (Hong Kong University of Science & Technology)
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Abstract
I will introduce some of our research on improving speech translation, by reducing acoustic-phonetic confusions in accented speech, named entity recognition from speech, and semantics-based translation disambiguation. Accent is a major factor in causing acoustic-phonetic confusions for spontaneous Mandarin speech. Named entity extraction is needed to facilitate the understanding of “What, Who, When, Where, Why”‚ contained in the speech. Translation disambiguation is essential for translation accuracy. More importantly, translation disambiguation with frame semantics helps decode the meaning of a spoken query even if the recognition is not perfect. We believe our approach will bring marked improvement to speech translation performances.