/ 
Text-NSP-1.03
River stage one • 2 direct dependents • 3 total dependents
/ Usage.pod

NAME

Usage.pod

SYNOPSIS

Examples of how to use NSP.

DESCRIPTION

These are some sample usages of NSP. While this is not intended to be an exhaustive treatment of the various features, it should give you some idea of some of the ways you can use NSP.

GETTING HELP

count.pl -help

rank.pl -help

statistic.pl -help

COUNT.PL

  • count all the bigrams in h.txt and store counts in holmes1.out

    count.pl h.cnt h.txt

  • count all bigrams that occur 5 or more times and store counts in holmes1.out5 AND create a histogram of the bigram counts and store in h-5.hist

    count.pl -frequency 5 -hist h-5.hist h-5.cnt h.txt

  • exclude all bigrams made up two words from stop.txt

    count.pl -stop stop.txt h-stop.cnt h.txt

  • count all bigrams that occur within a 4 word window AND use a stop list (this is especially useful to prevent bigrams caused by multiple occurrences of frequent words within the given window size (like 'and and' 'of of' etc.)

    count.pl -stop stop.txt -window 4 h-stop-w5.cnt h.txt

STATISTIC.PL

  • create a list of bigrams ranked by log-likelihood ratios. only allow scores of 6.00 or better among bigrams that occur more 3 or more times. (if you had used count to exclude certain frequencies you could simply use that file as input) (the .pm after the test name is optional)

    statistic.pl -score 6.00 -frequency 5 ll.pm holmes1.ll h.cnt

  • create a list of bigrams ranked by fisher's exact test (left sided) that only allow scores of 0.90 or better

    statistic.pl -score 0.90 leftFisher.pm h.fish h.cnt

  • create a list of the top 10 bigrams as ranked by the dice coefficient.

    statistic.pl -rank 10 dice.pm h.dice h.cnt

  • create a formatted report where bigrams are ranked by pointwise mutual information values, reported to 4 digits of precision.

    statistic.pl -format mi.pm -precision 4 h.report h.cnt

RANK.PL

  • compare the ranked list of bigrams created by pointwise mutual information and the log-likelihood ratio. make comparisons based on 3 digits of precision.

    rank.pl -precision 3 mi ll h.mi-ll-rank h.cnt

  • compare the ranked list of bigrams created by pointwise mutual information and the dice coefficient. make comparisons based on 5 digits of precision and compare only the top 10 bigrams selected by mutual information.

    rank.pl -precision 5 -rank 10 mi dice h.mi-dice-rank h.cnt

  • compare the ranked list of bigrams found by fisher's exact test and the dice coefficient. make comparisons based on 2 digits of precision and compare only those bigrams that score greater than 0.90 on fisher's exact test.

    rank.pl -precision 5 -score 0.90 leftFisher dice h.fish-dice-rank h.cnt

AUTHOR

Ted Pedersen, tpederse@d.umn.edu

Last update on 02/15/01 by TDP based on BSP v0.3.

BUGS

SEE ALSO

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

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

COPYRIGHT

Copyright (C) 2000-2003 Ted Pedersen.

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.

Note: a copy of the GNU Free Documentation License is available on the web at http://www.gnu.org/copyleft/fdl.html and is included in this distribution as FDL.txt.