/ 
Text-NSP-0.95
River stage one • 2 direct dependents • 3 total dependents
/ Text::NSP::Measures::2D::CHI::tscore

NAME

Text::NSP::Measures::2D::CHI::tscore - Perl module that implements T-score measure of association for bigrams.

SYNOPSIS

Basic Usage

use Text::NSP::Measures::2D::tscore;

my $tscore = Text::NSP::Measures::2D::tscore->new();

my $npp = 60; my $n1p = 20; my $np1 = 20;  my $n11 = 10;

$tscore_value = $tscore->calculateStatistic( n11=>$n11,
                                    n1p=>$n1p,
                                    np1=>$np1,
                                    npp=>$npp);

if( ($errorCode = $tscore->getErrorCode()))
{
  print STDERR $erroCode." - ".$tscore->getErrorMessage();
}
else
{
  print $tscore->getStatisticName."value for bigram is ".$tscore_value;
}

DESCRIPTION

Assume that the frequency count data associated with a bigram <word1><word2> is stored in a 2x2 contingency table:

         word2   ~word2
 word1    n11      n12 | n1p
~word1    n21      n22 | n2p
          --------------
          np1      np2   npp

where n11 is the number of times <word1><word2> occur together, and n12 is the number of times <word1> occurs with some word other than word2, and n1p is the number of times in total that word1 occurs as the first word in a bigram.

The T-score is defined as a ratio of difference between the observed and the expected mean to the variance of the sample. Note that this is a variant of the standard t-test that was proposed for use in the identification of collocations in large samples of text.

Thus, the T-score is defined as follows:

m11 = n1p * np1 / npp

T-score = (n11 - m11)/sqrt(n11)
calculateStatistic() - method to calculate the tscore Coefficient

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

RETURN VALUES : $tscore .. tscore value for this bigram.

getStatisticName() - Returns the name of this statistic

INPUT PARAMS : none

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

AUTHOR

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

Last updated: $Id: tscore.pm,v 1.9 2006/06/17 18:03:19 saiyam_kohli Exp $

BUGS

SEE ALSO

@incollection {ChurchGHH91,
        author={Church, K. and Gale, W. and Hanks, P. and Hindle, D. },
        title={Using Statistics in Lexical Analysis},
        booktitle={Lexical Acquisition: Exploiting On-Line Resources
                    to Build a Lexicon},
        editor={Zernik, U.},
        year={1991},
        address={Hillsdale, NJ},
        publisher={Lawrence Erlbaum Associates}
        url = L<http://www.patrickhanks.com/papers/usingStats.pdf>}

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

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

COPYRIGHT

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.