casa-mp-base

--- bin/mallet.orig 2012-01-20 22:48:27.000000000 +0900

+++ bin/mallet  2012-01-21 13:35:34.000000000 +0900

@@ -1,10 +1,9 @@

 #!/bin/bash

-malletdir=`dirname $0`

-malletdir=`dirname $malletdir`

+malletdir=@malletdir@

-cp=$malletdir/class:$malletdir/lib/mallet-deps.jar:$CLASSPATH

+cp=$malletdir/mallet.jar:$malletdir/mallet-deps.jar:$CLASSPATH

 #echo $cp

 MEMORY=1g

@@ -26,12 +25,15 @@

   classify-dir       classify data from a single file with a saved classifier

   classify-file      classify the contents of a directory with a saved classifier

   classify-svmlight  classify data from a single file in SVMLight format

+  tag                train, test, or run a generic CRF-based tagger

   train-topics       train a topic model from Mallet data files

   infer-topics       use a trained topic model to infer topics for new documents

   evaluate-topics    estimate the probability of new documents under a trained model

   hlda               train a topic model using Hierarchical LDA

   prune              remove features based on frequency or information gain

   split              divide data into testing, training, and validation portions

+  buld-load          import large amounts of text into Mallet format

+  run                run the main method of the specified class

 Include --help with any option for more information

 EOF

@@ -47,6 +49,7 @@

         classify-dir) CLASS=cc.mallet.classify.tui.Text2Classify;;

         classify-file) CLASS=cc.mallet.classify.tui.Csv2Classify;;

         classify-svmlight) CLASS=cc.mallet.classify.tui.SvmLight2Classify;;

+        tag) CLASS=cc.mallet.fst.SimpleTagger;;

    train-topics) CLASS=cc.mallet.topics.tui.Vectors2Topics;;

    infer-topics) CLASS=cc.mallet.topics.tui.InferTopics;;

    evaluate-topics) CLASS=cc.mallet.topics.tui.EvaluateTopics;;