KEDMA—Linguistic Tools for Retrieval Systems

R. Attar, Y. Choueka, Nachum Dershowitz, A. S. Fraenkel

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In a full-text natural-language retrieval system, frequent need for automatic hngulstec analysis arises, e.g for keyword expansion in a search process, content analysis, or automatic construction of concordances The avadablhty of sophisticated hngulstic tools, which is highly desirable for languages such as Enghsh, is quite imperative for, say, Semmc languages, whose complex morphological structure renders simple-minded and approximate soluuons such as suffix stripping totally useless. Sophisticated tools were designed and constructed via the fusion of grammatical analysis and grammatical synthesis, resulting in a set of global files which provide in some sense a complete grammatical and lexlcal description of the language These files induce a set of local files which adapt to the database at hand and permit flexible on-hne morphological analysis.

Original languageEnglish
Pages (from-to)52-66
Number of pages15
JournalJournal of the ACM
Volume25
Issue number1
DOIs
StatePublished - 1 Jan 1978

Keywords

  • automatic text processing
  • computational hngmstlcs
  • full-text
  • global files
  • grammatical analysis
  • grammatical synthesis
  • grammatical synthesis-analysis
  • hngmstlc files
  • information retrieval
  • local files

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