NAME
Lingua::EN::Bigram - Calculate two-, three-, and four-word phrases based on frequency and/or T-Score
SYNOPSIS
use Lingua::EN::Bigram;
$ngram = Lingua::EN::Bigram->new;
$ngram->text( 'All men by nature desire to know. An indication of this...' );
$tscore = $ngram->tscore;
foreach ( sort { $$tscore{ $b } <=> $$tscore{ $a } } keys %$tscore ) {
print "$$tscore{ $_ }\t" . "$_\n";
}DESCRIPTION
This module is designed to: 1) pull out all of the two-, three-, and four-word phrases in a given text, and 2) list these phrases according to their frequency. Using this module is it possible to create lists of the most common phrases in a text as well as order them by their probable occurance, thus implying significance. This process is useful for the purposes of textual analysis and "distant reading".
METHODS
new
Create a new, empty Lingua::EN::Bigram object:
# initalize
$ngram = Lingua::EN::Bigram->new;text
Set or get the text to be analyzed:
# fill Lingua::EN::Bigram object with content
$ngram->text( 'All good things must come to an end...' );
# get the Lingua::EN::Bigram object's content
$text = $ngram->text;words
Return a list of all the tokens in a text. Each token will be a word or puncutation mark:
# get words
@words = $ngram->words;word_count
Return a reference to a hash whose keys are a token and whose values are the number of times the token occurs in the text:
# get word count
$word_count = $ngram->word_count;
# list the words according to frequency
foreach ( sort { $$word_count{ $b } <=> $$word_count{ $a } } keys %$word_count ) {
print $$word_count{ $_ }, "\t$_\n";
}bigrams
Return a list of all bigrams in the text. Each item will be a pair of tokens and the tokens may consist of words or puncutation marks:
# get bigrams
@bigrams = $ngram->bigrams;bigram_count
Return a reference to a hash whose keys are a bigram and whose values are the frequency of the bigram in the text:
# get bigram count
$bigram_count = $ngram->bigram_count;
# list the bigrams according to frequency
foreach ( sort { $$bigram_count{ $b } <=> $$bigram_count{ $a } } keys %$bigram_count ) {
print $$bigram_count{ $_ }, "\t$_\n";
}tscore
Return a reference to a hash whose keys are a bigram and whose values are a T-Score -- a probabalistic calculation determining the significance of the bigram occuring in the text:
# get t-score
$tscore = $ngram->tscore;
# list bigrams according to t-score
foreach ( sort { $$tscore{ $b } <=> $$tscore{ $a } } keys %$tscore ) {
print "$$tscore{ $_ }\t" . "$_\n";
}trigrams
Return a list of all trigrams (three-word phrases) in the text. Each item will include three tokens and the tokens may consist of words or puncutation marks:
# get trigrams
@trigrams = $ngram->trigrams;trigram_count
Return a reference to a hash whose keys are a trigram and whose values are the frequency of the trigram in the text:
# get trigram count
$trigram_count = $ngram->trigram_count;
# list the trigrams according to frequency
foreach ( sort { $$trigram_count{ $b } <=> $$trigram_count{ $a } } keys %$trigram_count ) {
print $$trigram_count{ $_ }, "\t$_\n";
}quadgrams
Return a list of all quadgrams (four-word phrases) in the text. Each item will include four tokens and the tokens may consist of words or puncutation marks:
# get quadgrams
@quadgrams = $ngram->quadgrams;quadgram_count
Return a reference to a hash whose keys are a quadgram and whose values are the frequency of the quadgram in the text:
# get quadgram count
$quadgram_count = $ngram->quadgram_count;
# list the trigrams according to frequency
foreach ( sort { $$quadgram_count{ $b } <=> $$quadgram_count{ $a } } keys %$quadgram_count ) {
print $$quadgram_count{ $_ }, "\t$_\n";
}DISCUSSION
Given the increasing availability of full text materials, this module is intended to help "digital humanists" apply mathematical methods to the analysis of texts. For example, the developer can extract the high-frequency words using the word_count method and allow the user to search for those words in a concordance. The bigram_count method simply returns the frequency of a given bigram, but the tscore method can order them in a more finely tuned manner.
Consider using T-Score-weighted bigrams as classification terms to supplement the "aboutness" of texts. Concatonate many texts together and look for common phrases written by the author. Compare these commonly used phrases to the commonly used phrases of other authors.
Each bigram, trigram, or quadgram includes punctuation. This is intentional. Developers may need want to remove bigrams, trigrams, or quadgrams containing such values from the output. Similarly, no effort has been made to remove commonly used words -- stop words -- from the methods. Consider the use of Lingua::StopWords, Lingua::EN::StopWords, or the creation of your own stop word list to make output more meaningful. The distribution came with a script (bin/n-grams.pl) demonstrating how to remove puncutation and stop words from the displayed output.
Finally, this is not the only module supporting bigram extraction. See also Text::NSP which supports n-gram extraction.
TODO
There are probably a number of ways the module can be improved:
* the constructor method could take a scalar as input, thus reducing the need for the text method
* the distribution's license should probably be changed to the Perl Aristic License
* the addition of alternative T-Score calculations would be nice
* it would be nice to support n-grams
* make sure the module works with character sets beyond ASCII
CHANGES
* August 22, 2010 - added trigrams and quadgrams; tweaked documentation; removed bigrams.pl from the distribution and substituted it wih n-grams.pl
* June 19, 2009 - initial release
ACKNOWLEDGEMENTS
T-Score, as well as a number of the module's methods, is calculated as per Nugues, P. M. (2006). An introduction to language processing with Perl and Prolog: An outline of theories, implementation, and application with special consideration of English, French, and German. Cognitive technologies. Berlin: Springer.
AUTHOR
Eric Lease Morgan <eric_morgan@infomotions.com>