Abstract
For casual web users, a natural language is more accessible than formal query languages. However, understanding of a natural language query is not trivial for computer systems. This paper proposes a method to parse and understand Korean natural language queries with local grammars. A local grammar is a formalism that can model syntactic structures and synonymous phrases. With local grammars, the system directly extracts user’s intentions from natural language queries. With 163 hand-crafted local grammar graphs, the system could attain a good level of accuracy and meaningful coverage over IT company/people domain.
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Noh, TG., Han, YJ., Park, SB., Park, SY. (2009). Processing of Korean Natural Language Queries Using Local Grammars. In: Li, W., Mollá-Aliod, D. (eds) Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy. ICCPOL 2009. Lecture Notes in Computer Science(), vol 5459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00831-3_4
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DOI: https://doi.org/10.1007/978-3-642-00831-3_4
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