Learning Syntactic Rules and Tags with Genetic Algorithms for Information Retrieval and Filtering: An Empirical Basis for Grammatical Rules.

Losee, Robert M.

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Peer reviewed

ERIC Number: EJ516536

Record Type: Journal

Publication Date: 1996

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ISSN: ISSN-0306-4573

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Learning Syntactic Rules and Tags with Genetic Algorithms for Information Retrieval and Filtering: An Empirical Basis for Grammatical Rules.

Losee, Robert M.

Information Processing & Management, v32 n2 p185-97 Mar 1996

The grammars of natural languages may be learned by using genetic algorithm systems such as LUST (Linguistics Using Sexual Techniques) that reproduce and mutate grammatical rules and parts-of-speech tags. In document retrieval or filtering systems, applying tags to the list of terms representing a document provides additional information about semantics and structure. (Author/AEF)

Descriptors: Algorithms, Artificial Intelligence, Expert Systems, Information Retrieval, Information Systems, Language Processing, Semantics, Structural Grammar, Tagmemic Analysis

Publication Type: Reports - Descriptive; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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