Text::NSP::Measures::3D::MI::ll - Perl module that implements Loglikelihood


Text-NSP documentation  | view source Contained in the Text-NSP distribution.

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NAME

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Text::NSP::Measures::3D::MI::ll - Perl module that implements Loglikelihood measure of association for trigrams.

SYNOPSIS

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Basic Usage

  use Text::NSP::Measures::3D::MI::ll;

  $ll_value = calculateStatistic( n111=>10,
                                  n1pp=>40,
                                  np1p=>45,
                                  npp1=>42,
                                  n11p=>20,
                                  n1p1=>23,
                                  np11=>21,
                                  nppp=>100);

  if( ($errorCode = getErrorCode()))
  {
    print STDERR $erroCode." - ".getErrorMessage()."\n";
  }
  else
  {
    print getStatisticName."value for bigram is ".$ll_value."\n";
  }




DESCRIPTION

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The log-likelihood ratio measures the devitation between the observed data and what would be expected if <word1>, <word2> and <word3> were independent. The higher the score, the less evidence there is in favor of concluding that the words are independent.

The expected values for the internal cells are calculated by taking the product of their associated marginals and dividing by the sample size, for example:

            n1pp * np1p * npp1
   m111=   --------------------
                   nppp

Then the deviation between observed and expected values for each internal cell is computed to arrive at the log-likelihood value.

 Log-Likelihood = 2 * [n111 * log(n111/m111) + n112 * log(n112/m112) +
           n121 * log(n121/m121) + n122 * log(n122/m122) +
           n211 * log(n211/m211) + n212 * log(n212/m212) +
           n221 * log(n221/m221) + n222 * log(n222/m222)]

Methods

calculateStatistic($count_values) - This method calculates the ll value

INPUT PARAMS : $count_values .. Reference of an hash containing the count values computed by the count.pl program.

RETURN VALUES : $loglikelihood .. Loglikelihood value for this trigram.

getStatisticName() - Returns the name of this statistic

INPUT PARAMS : none

RETURN VALUES : $name .. Name of the measure.

AUTHOR

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Ted Pedersen, University of Minnesota Duluth<tpederse@d.umn.edu>

Satanjeev Banerjee, Carnegie Mellon University<satanjeev@cmu.edu>

Amruta Purandare, University of Pittsburgh<amruta@cs.pitt.edu>

Bridget Thomson-McInnes, University of Minnesota Twin Cities<bthompson@d.umn.edu>

Saiyam Kohli, University of Minnesota Duluth<kohli003@d.umn.edu>

HISTORY

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Last updated: $Id: ll.pm,v 1.9 2006/06/21 11:10:53 saiyam_kohli Exp $

BUGS

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SEE ALSO

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  @article{Dunning93,
            author = {Dunning, T.},
            title = {Accurate Methods for the Statistics of
          Surprise and Coincidence},
            journal = {Computational Linguistics},
            volume = {19},
            number = {1},
            year = {1993},
            pages = {61-74}
            url = L<http://www.comp.lancs.ac.uk/ucrel/papers/tedstats.pdf>}

  @inproceedings{moore:2004:EMNLP,
                author    = {Moore, Robert C.},
                title     = {On Log-Likelihood-Ratios and the Significance of Rare
              Events },
                booktitle = {Proceedings of EMNLP 2004},
                editor = {Dekang Lin and Dekai Wu},
                year      = 2004,
                month     = {July},
                address   = {Barcelona, Spain},
                publisher = {Association for Computational Linguistics},
                pages     = {333--340}
                url = L<http://acl.ldc.upenn.edu/acl2004/emnlp/pdf/Moore.pdf>}

http://groups.yahoo.com/group/ngram/

http://www.d.umn.edu/~tpederse/nsp.html

COPYRIGHT

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Text-NSP documentation  | view source Contained in the Text-NSP distribution.