Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Improving partial parsing based on error-pattern analysis for a Korean grammar-checker
ACM Transactions on Asian Language Information Processing (TALIP)
Korean stochastic word-spacing with dynamic expansion of candidate words list
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
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This paper deals with a better method to treat the various linguistic errors and ambiguities that we encounter when analyzing Korean text automatically. A natural language understanding system and the full-sentence analysis would provide a better way to resolve such problems. But the practical application of natural language understanding is still far from being achieved and full sentence analysis in the current state is not only difficult to implement but also time consuming. For those reasons a Korean Grammar Checker using the partial parsing method and the conception of potential governing relationship is implemented. The paper improves the knowledge base of disambiguation rules while trying to reduce them with the result of the linguistic analysis. The extended lexical disambiguation rules and the parsing method based on the asymmetric relation that we propose thus guarantee the accuracy and efficiency of the Grammar Checker.