Probabilistic Parsing of Korean Sentences Using Collocational Information
نویسنده
چکیده
Lexical information is one of the most important source that can improve the accuracy of the syntactic disambigua-tion. This paper describes a Korean probabilistic parser that is based on the probabilities of phrase structure rules as well as the probabilities of collocational information between lexical items to resolve syntactic ambiguity. The proposed parser is shown by means of an extensive experiment to gain improvements in parsing accuracy. The experimental result shows about 84% in parsing accuracy .
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Probabilistic Language Model for Analyzing Korean Sentences
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