Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Potential Governing Relationship and a Korean Grammar Checker Using Partial Parsing
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Combined word-spacing method for disambiguating korean texts
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Automatic korean phoneme generation via input-text preprocessing and disambiguation
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
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The main aim of this work is to make improvements to Mirine 2.2, a Korean grammar-checker that takes Korean language properties into account and to develop a system that satisfies user expectations. Particular attention is given to processing Korean texts that may contain users' grammatical and practical errors. In order to treat these errors efficiently, the system includes methods based on asymmetric relations from which partial parsing and the potential governing relationship are derived, implying the starting point for checking, the direction for parsing, and the limits of the scope for parsing.To organize partial parsing efficiently, the system requires an appropriate knowledge base. As its essential prerequisites, this study (a) considers the factors from which the various error types encountered while parsing various Korean texts arise; (b) extracts general patterns from the linguistic or extra-linguistic factors obtained in this manner; and (c) demonstrates how the system, based on a linguistic analysis, procures an adequate knowledge base for partial parsing to satisfy end-users. Mirine 2.2 achieves an F-measure of about 0.80 in detecting unknown erroneous words; an F-measure of about 0.98 when not considering unknown words; and 98.94% precision in correcting erroneous words.