Text::NSP::Measures::3D::MI::ps - Perl module that implements Poisson Stirling Measure for trigrams.

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

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

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

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

The poisson stirling measure is a negative lograthimic approximation of the poisson-likelihood measure. It uses the stirlings firmula to approximate the factorial in poisson-likelihood measure. It is computed as follows:

Posson-Stirling = n111 * ( log(n111) - log(m111) - 1)

calculateStatistic() - This method calculates the ps value

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

RETURN VALUES : $poissonStirling .. Poisson-Stirling value for this trigram.

getStatisticName() - Returns the name of this statistic

INPUT PARAMS : none

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

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>

Last updated: $Id: ps.pm,v 1.7 2006/06/21 11:10:53 saiyam_kohli Exp $

  @inproceedings{ church89word,
      author = {Kenneth W. Church and Patrick Hanks},
      title = {Word association norms, mutual information, and Lexicography},
      booktitle = {Proceedings of the 27th. Annual Meeting of the Association for Computational Linguistics},
      publisher = {Association for Computational Linguistics},
      address = {Vancouver, B.C.},
      pages = {76--83},
      year = {1989},
      url = L<http://acl.ldc.upenn.edu/J/J90/J90-1003.pdf> }

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

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

Copyright (C) 2000-2006, Ted Pedersen, Satanjeev Banerjee, Amruta Purandare, Bridget Thomson-McInnes and Saiyam Kohli

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to

    The Free Software Foundation, Inc.,
    59 Temple Place - Suite 330,
    Boston, MA  02111-1307, USA.

Note: a copy of the GNU General Public License is available on the web at http://www.gnu.org/licenses/gpl.txt and is included in this distribution as GPL.txt.