Error-tolerant Tree Matching

Computer Science – Computation and Language

Scientific paper

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gzipped and uuencoded postscript, 5 pages. Minor fix in one of the figures. Also available as ftp://ftp.cs.bilkent.edu.tr/pu

Scientific paper

This paper presents an efficient algorithm for retrieving from a database of trees, all trees that match a given query tree approximately, that is, within a certain error tolerance. It has natural language processing applications in searching for matches in example-based translation systems, and retrieval from lexical databases containing entries of complex feature structures. The algorithm has been implemented on SparcStations, and for large randomly generated synthetic tree databases (some having tens of thousands of trees) it can associatively search for trees with a small error, in a matter of tenths of a second to few seconds.

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