Paper: How do you pronounce your name? Improving G2P with transliterations

ACL ID P11-1041
Title How do you pronounce your name? Improving G2P with transliterations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

Grapheme-to-phoneme conversion (G2P) of names is an important and challenging prob- lem. The correct pronunciation of a name is often reflected in its transliterations, which are expressed within a different phonological in- ventory. We investigate the problem of us- ing transliterations to correct errors produced by state-of-the-art G2P systems. We present a novel re-ranking approach that incorporates a variety of score and n-gram features, in order to leverage transliterations from multiple lan- guages. Our experiments demonstrate signifi- cant accuracy improvements when re-ranking is applied to n-best lists generated by three different G2P programs.