Abstract
Patterns are essentially context-dependent. This paper describes an error-correcting parser for a context-free language, which finds most similar sentences to an input sentence based on the context-dependent similarity(CDS). The proposed algorithm is obtained by modifying the Lyon’s error-correcting parser. Possible application are to the problem of pattern recognition, speech recognition and language processing.
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© 1988 Springer-Verlag Berlin Heidelberg
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Ikeda, M., Tanaka, E., Kasusho, O. (1988). An Error-Correcting Parser for a Context-Free Language Based on the Context-Dependent Similarity. In: Ferraté, G., Pavlidis, T., Sanfeliu, A., Bunke, H. (eds) Syntactic and Structural Pattern Recognition. NATO ASI Series, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83462-2_2
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DOI: https://doi.org/10.1007/978-3-642-83462-2_2
Publisher Name: Springer, Berlin, Heidelberg
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