Search (7 results, page 1 of 1)

  • × theme_ss:"Automatisches Indexieren"
  1. Kuhlen, R.: Experimentelle Morphologie in der Informationswissenschaft (1977) 0.07
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    LCSH
    Information storage and retrieval systems
    Subject
    Information storage and retrieval systems
  2. Jardine, N.; Rijsbergen, C.J. van: ¬The use of hierarchic clustering in information retrieval (1971) 0.06
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    Source
    Information storage and retrieval. 7(1971), S.217-240
  3. Sparck Jones, K.; Jackson, D.M.: ¬The use of automatically obtained keyword classification for information retrieval (1970) 0.06
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    Source
    Information storage and retrieval. 5(1970), S.175-201
  4. Gray, W.A.; Harley, A.J.: Computer assisted indexing (1971) 0.06
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    Source
    Information storage and retrieval. 7(1971), S.167-174
  5. Sparck Jones, K.: Index term weighting (1973) 0.06
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    Source
    Information storage and retrieval. 9(1973), S.619-633
  6. Hafer, M.A.; Weiss, S.F.: Word segmentation by letter successor varieties (1974) 0.03
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    Abstract
    This paper describes a method for automatically segmenting words into their stems and affixes. The process uses certain statistical properties of corpus (successor and predecessor letter variety counts) to indicate where words should be divided. Consequently, this process is less reliant on human intervention than are other methods for automated stemming. The segmentation system is used to construct stem dictionariesfor documnet classification. Information retrieval experiments are then performed using documents and queries so classified. Results show not only that this method is capable of high quality word segmentation, but also that its use in information retrieval produce results that are at least as good as thosse obtained using the more traditional stemming process.
    Source
    Information storage and retrieval. 10(1974) H.11/12, S.371-385
  7. Alexander, M.: Retrieving digital data with fuzzy matching (1996) 0.03
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    Abstract
    Briefly describes the Excalibur EFS system which makes use of adaptive pattern recognition technology as an aid to automatic indexing and how it is being tested at the British Library for the indexing and retrieval of scanned images from the library's holdings. Notes how Excalibur EFS can support a wide degree of fuzzy searching, compensate for the errors produced by OCR conversion of scanned images, reduce the costs of indexing, and require far less storage space than more traditional indexes