NAME
Text::NSP::Measures::2D::MI::ll - Perl module that implements Loglikelihood measure of association for bigrams.
SYNOPSIS
Basic Usage
my
$npp
= 60;
my
$n1p
= 20;
my
$np1
= 20;
my
$n11
= 10;
$ll_value
= calculateStatistic(
n11
=>
$n11
,
n1p
=>
$n1p
,
np1
=>
$np1
,
npp
=>
$npp
);
if
( (
$errorCode
= getErrorCode()))
{
STDERR
$errorCode
.
" - "
.getErrorMessage();
}
else
{
getStatisticName.
"value for bigram is "
.
$ll_value
;
}
DESCRIPTION
The log-likelihood ratio measures the deviation between the observed data and what would be expected if <word1> and <word2> were independent. The higher the score, the less evidence there is in favor of concluding that the words are independent.
Assume that the frequency count data associated with a bigram <word1><word2> as shown by 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 expected values for the internal cells are calculated by taking the product of their associated marginals and dividing by the sample size, for example:
np1 * n1p
m11= ---------
npp
Then the deviation between observed and expected values for each internal cell is computed to arrive at the log-likelihood value.
Log-Likelihood = 2 * [n11 *
log
(n11/m11) + n12 *
log
(n12/m12) +
n21 *
log
(n21/m21) + n22 *
log
(n22/m22)]
Methods
- calculateStatistic() - 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 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: ll.pm,v 1.23 2008/03/26 17:20:27 tpederse Exp $
BUGS
SEE ALSO
@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}
@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}
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.