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ANLP
2000

A Finite State and Data-Oriented Method for Grapheme to Phoneme Conversion

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A Finite State and Data-Oriented Method for Grapheme to Phoneme Conversion
A finite-state method, based on leftmost longestmatch replacement, is presented for segmenting words into graphemes, and for converting graphemes into phonemes. A small set of hand-crafted conversion rules for Dutch achieves a phoneme accuracy of over 93%. The accuracy of the system is further improved by using transformation-based learning. The phoneme accuracy of the best system (using a large rule and a 'lazy' variant of Brill's algoritm), trained on only 40K words, reaches 99%.
Gosse Bouma
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where ANLP
Authors Gosse Bouma
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