Error-tolerant Tree Matching

This paper presents an efficient algorithm for retrieving from a database of trees, all trees that match a given query tree appro,imately, 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 [or trees with a small error, in a matter of tenths of a second to few seconds.

• Type: Conference
• Year: 1996
• Where: COLING
• Authors: Kemal Oflazer
• Keywords: Certain Error Tolerance, COLING 1996, COLING 2008, Databases Containing Entries, Example-based Translation Systems