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Part of the book series: Symbolic Computation ((1064))

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Abstract

Chart parsing is an approach to non-deterministic parsing developed by Kay and Kaplan based on earlier work by Earley, Kay and Colmerauer. In contrast to that earlier work, in which the chart was a (in some cases enriched) well-formed substring table for recording intermediate results, the later systems use the chart as the active agent in the parsing process.

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References

  1. Kay, M. Algorithm Schemata and Data Structures in Syntactic Processing, In Proceedings of the Nobel Symposium on Text Processing. Nobel Academy. 1980. Also available as CSL-80-12, Xerox PARC, Palo Alto, CA.

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  2. Thompson, H.S. and Ritchie. G.D. Techniques for Parsing Natural Language: Two Examples. In Eisenstadt and O’Shea (editors). Artificial Intelligence Skills. Harper and Row, 1983. Also available as Research Paper 183, Department of Artificial Intelligence, University of Edinburgh.

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© 1984 Springer-Verlag Berlin Heidelberg

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Bundy, A., Wallen, L. (1984). Chart Parsing. In: Bundy, A., Wallen, L. (eds) Catalogue of Artificial Intelligence Tools. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-96868-6_30

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  • DOI: https://doi.org/10.1007/978-3-642-96868-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-13938-6

  • Online ISBN: 978-3-642-96868-6

  • eBook Packages: Springer Book Archive

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