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1 - 5 of 5 search results for `b b ndl`

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  2. The Cambridge University Spoken Document Retrieval System

    mi.eng.cam.ac.uk/reports/full_html/johnson_icassp99.html/
    8 Mar 2000: that. where N is the number of documents in the collection, ndl(j), is the length of document j normalised by the average dl, and K and b are tuning constants. ... where A(w) and B(w) represent the number of times word w occurs in the reference A and the

  3. SPOKEN DOCUMENT RETRIEVAL FOR TREC-8 AT CAMBRIDGE UNIVERSITY S.E. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec8.pdf
    10 Apr 2000: K (1 b b ndl(dj )) tf (ti, dj ). n(ti) =. diD. {. 0 tf (ti, di) = 01 tf (ti, di) > 0. ... x K[1 b b ndl](1). whereN , K, b, n and ndl have the same meaning as in sec-tion 4.1.3.

  4. Spoken Document Retrieval for TREC-7 at Cambridge University

    mi.eng.cam.ac.uk/reports/full_html/johnson_trec7.html/
    30 Mar 2000: where ndl(j) is the length of document j normalised by the average dl and K and b are tuning constants. ... J Xu & W B Croft. Corpus-Based Stemming Using Cooccurence of Word Variants. ACM trans.

  5. Spoken Document Retrieval for TREC-8 at Cambridge University

    mi.eng.cam.ac.uk/reports/full_html/johnson_trec8.html/
    30 Mar 2000: where V is the term vocabulary for the whole document collection D; and K and b are tuning constants. ... or the combined weights formula to be included directly are:. where N, K, b, n and ndl have the same meaning as in section 4.1.3.

  6. GENERAL QUERY EXPANSION TECHNIQUESFOR SPOKEN DOCUMENT RETRIEVAL…

    mi.eng.cam.ac.uk/reports/svr-ftp/jourlin_esca99.pdf
    10 Apr 2000: K.(1 b b.ndl(dj )) tf (ti, dj ). n(ti) =. diD. {. ... dl(dj ) =. wV. tf (w, dj ). ndl(dj ) =dl(dj ) N.

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