An unsupervised syntax disambiguation method combined with the context-sensitive probability

To address the limitations of probabilistic context free grammar, the context information is used and a probabilistic estimation function of syntax structure combined the cooccurrence information of part of speech and syntax category is proposed in this paper. The inside-outside algorithm is used to...

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Bibliographic Details
Published in2012 World Congress on Information and Communication Technologies pp. 1066 - 1070
Main Authors Xu Li, Chunlong Yao, Lan Shen, Li Shao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Context
Estimation
Grammar
Probabilistic logic
Probability
Speech
Syntactics
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Summary:To address the limitations of probabilistic context free grammar, the context information is used and a probabilistic estimation function of syntax structure combined the cooccurrence information of part of speech and syntax category is proposed in this paper. The inside-outside algorithm is used to obtain the probabilities of the syntactic rules and the structure co-occurrences from the raw materials, which can address the bottleneck of supervised learning that large-scale treebank is expensive to create. The experimental results show that the proposed method can effectively improve the precision of syntax disambiguation.
ISBN:1467348066
9781467348065
DOI:10.1109/WICT.2012.6409233