Korean Probabilistic Syntactic Model using Head Co-occurrence 


Vol. 9,  No. 6, pp. 809-816, Dec.  2002
10.3745/KIPSTB.2002.9.6.809


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  Abstract

Since a natural language has inherently structural ambiguities, one of the difficulties of parsing is resolving the structural ambiguities. Recently, a probabilistic approach to tackle this disambiguation problem has received considerable attention because it has some attractions such as automatic learning, wide-coverage, and robustness. In this paper, we focus on Korean probabilistic parsing model using head co-occurrence. We are apt to meet the data sparseness problem when we're using head co-occurrence because it is lexical. Therefore, how to handle this problem is more important than others. To lighten the problem, we have used the restricted and simplified phrase-structure grammar and back-off model as smoothing. The proposed model has showed that the accuracy is about 84%.

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[IEEE Style]

K. J. Lee and J. H. Kim, "Korean Probabilistic Syntactic Model using Head Co-occurrence," The KIPS Transactions:PartB , vol. 9, no. 6, pp. 809-816, 2002. DOI: 10.3745/KIPSTB.2002.9.6.809.

[ACM Style]

Kong Joo Lee and Jae Hoon Kim. 2002. Korean Probabilistic Syntactic Model using Head Co-occurrence. The KIPS Transactions:PartB , 9, 6, (2002), 809-816. DOI: 10.3745/KIPSTB.2002.9.6.809.

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