Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi
School Without Walls High School（无墙高中）；Georgetown University（乔治城大学）
英文摘要：
Hindi grapheme-to-phoneme (G2P) conversion is mostly trivial, with one exception: whether a schwa represented in the orthography is pronounced or unpronounced (deleted). Previous work has attempted to predict schwa deletion in a rule-based fashion using prosodic or phonetic analysis. We present the first statistical schwa deletion classifier for Hindi, which relies solely on the orthography as the input and outperforms previous approaches. We trained our model on a newly-compiled pronunciation lexicon extracted from various online dictionaries. Our best Hindi model achieves state of the art performance, and also achieves good performance on a closely related language, Punjabi, without modification.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
