Reduction of expanded search terms for fuzzy English-text retrieval

Manabu Ohta, Atsuhiro Takasu, Jun Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Optical character reader (OCR) misrecognition is a serious problem when OCR-recognized text is used for retrieval purposes in digital libraries. We have proposed fuzzy retrieval methods that, instead of correcting the errors manually, assume that errors remain in the recognized text. Costs are thereby reduced. The proposed methods generate multiple search terms for each input query term by referring to the con- fusion matrices, which store all characters likely to be misrecognized and the respective probability of each misrecognition. The proposed methods can improve recall rates without decreasing precision rates. However, in English fuzzy retrieval, occasionally a few million search terms are generated, which has an intolerable effect on retrieval speed. Therefore, this paper presents two heuristics to reduce the number of generated search terms by restricting the number of errors included in each expanded search term while maintaining retrieval effectiveness.

Original languageEnglish
Title of host publicationResearch and Advanced Technology for Digital Libraries - 2nd European Conference, ECDL 1998, Proceedings
EditorsChristos Nikolaou, Constantine Stephanidis
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9783540651017
Publication statusPublished - Jan 1 1998
Externally publishedYes
Event2nd European Conference on Digital Libraries, ECDL 1998 - Heraklion, Crete, Greece
Duration: Sept 21 1998Sept 23 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd European Conference on Digital Libraries, ECDL 1998
CityHeraklion, Crete

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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