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60
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NAACL
2007
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Computational Linguistics
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NAACL 2007
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Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
15 years 4 months ago
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acl.ldc.upenn.edu
Letter-to-phoneme conversion generally requires aligned training data of letters and phonemes. Typically, the alignments are limited to one-to-one alignments. We present a novel t...
Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sh...
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