casa-mp-base

--- samples/kftt.30k/alignment/alignment.sh.orig    2013-07-30 14:14:40.000000000 +0900

+++ samples/kftt.30k/alignment/alignment.sh 2013-10-27 18:22:32.000000000 +0900

@@ -1,11 +1,11 @@

 #!/bin/sh

-cicada=../../..

+bindir=@PREFIX@/bin

 ## We perform symmetized posterior constrained training, and

 ## perform smoothing by naive Bayes.

-exec ${cicada}/scripts/cicada-alignment.py \

+exec ${bindir}/cicada-alignment.py \

    --f ../data/train.ja.bz2 \

    --e ../data/train.en.bz2 \

    --symmetric \

--- samples/kftt.30k/ngram/expgram.sh.orig  2013-07-30 14:14:34.000000000 +0900

+++ samples/kftt.30k/ngram/expgram.sh   2013-10-27 18:23:31.000000000 +0900

@@ -1,17 +1,12 @@

 #!/bin/sh

-expgram=

-

-if test "$expgram" = ""; then

-  echo "where is your expgram?"

-  exit 1

-fi

+bindir=@PREFIX@/bin

 ### Following is a quick example of LM estimation on a small data set.

-$expgram/progs/expgram_counts_extract --corpus ../data/train.en.bz2 --output ngram.5.en.counts --order 5 --threads 4

+${bindir}/expgram_counts_extract --corpus ../data/train.en.bz2 --output ngram.5.en.counts --order 5 --threads 4

-$expgram/progs/expgram_counts_estimate --ngram ngram.5.en.counts --output ngram.5.en.lm --shard 4

+${bindir}/expgram_counts_estimate --ngram ngram.5.en.counts --output ngram.5.en.lm --shard 4

 ### A standard way is:

-# $expgram/scripts/expgram.py --corpus ../data/train.en --output ngram.5.en --threads 4

+# ${bindir}/expgram.py --corpus ../data/train.en --output ngram.5.en --threads 4

--- samples/kftt.30k/s2t/data/preprocess.sh.orig    2013-08-02 10:22:41.000000000 +0900

+++ samples/kftt.30k/s2t/data/preprocess.sh 2013-10-27 19:52:56.000000000 +0900

@@ -1,12 +1,8 @@

 #!/bin/sh

-stanford=

-cicada=../../../..

-

-if test "$stanford" = ""; then

-  echo "where is your stanford parser?"

-  exit 1

-fi

+stanford=@PREFIX@/share/java/stanford-parser

+version=3.2.0

+bindir=@PREFIX@/bin

 # Here, we use stanford-parser to parse training data in English

 # cicada_filter_penntreebank to transform into hypergraph.

@@ -18,7 +14,7 @@

 bzcat ../../data/train.en.bz2 | \

 java \

     -mx12g \

-    -cp $stanford/stanford-parser.jar:$stanford/stanford-parser-3.2.0-models.jar \