Entry Moisl:2009:SLL from talip.bib

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BibTeX entry

@Article{Moisl:2009:SLL,
  author =       "Hermann Moisl",
  title =        "Sura Length and Lexical Probability Estimation in
                 Cluster Analysis of the {Qur'an}",
  journal =      j-TALIP,
  volume =       "8",
  number =       "4",
  pages =        "19:1--19:??",
  month =        dec,
  year =         "2009",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/1644879.1644886",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Mon Mar 29 15:37:17 MDT 2010",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "Thabet [2005] applied cluster analysis to the Qur'an
                 in the hope of generating a classification of the
                 (suras) that is useful for understanding of its
                 thematic structure. The result was positive, but
                 variation in (sura) length was a problem because
                 clustering of the shorter was found to be unreliable.
                 The present discussion addresses this problem in four
                 parts. The first part summarizes Thabet's work. The
                 second part argues that unreliable clustering of the
                 shorter is a consequence of poor estimation of lexical
                 population probabilities in those. The third part
                 proposes a solution to the problem based on calculation
                 of a minimum length threshold using concepts from
                 statistical sampling theory followed by selection of
                 and lexical variables based on that threshold. The
                 fourth part applies the proposed solution to a
                 reanalysis of the Qur'an.",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
  keywords =     "Arabic natural language processing; cluster analysis;
                 document length normalization; lexical probability
                 estimation; Qur'an sampling",
}

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