Probabilistic context-free grammars for syllabification and grapheme-to-phoneme conversion

被引：0
|
作者：
Müller, K [1 ]
机构：
[1] Univ Stuttgart, Inst Maschinelle Sprachverarbeitung, D-7000 Stuttgart, Germany
来源：
PROCEEDINGS OF THE 2001 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We investigated the applicability of probabilistic context-free grammars to syllabification and grapheme-to-phoneme conversion. The results show that the standard probability model of context-free grammars performs very well in predicting syllable boundaries. However, our results indicate that the standard probability model does not solve grapheme-to-phoneme conversion sufficiently although, we varied all free parameters of the probabilistic reestimation procedure.
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页码：143 / 150
页数：8
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