score_mbr.sh
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#!/bin/bash
# Script for minimum bayes risk decoding.
[ -f ./path.sh ] && . ./path.sh;
# begin configuration section.
cmd=run.pl
min_lmwt=7
max_lmwt=17
#end configuration section.
[ -f ./path.sh ] && . ./path.sh
. parse_options.sh || exit 1;
if [ $# -ne 3 ]; then
echo "Usage: local/score_mbr.sh [--cmd (run.pl|queue.pl...)] <data-dir> <lang-dir|graph-dir> <decode-dir>"
echo " Options:"
echo " --cmd (run.pl|queue.pl...) # specify how to run the sub-processes."
echo " --min_lmwt <int> # minumum LM-weight for lattice rescoring "
echo " --max_lmwt <int> # maximum LM-weight for lattice rescoring "
exit 1;
fi
data=$1
lang_or_graph=$2
dir=$3
symtab=$lang_or_graph/words.txt
for f in $symtab $dir/lat.1.gz $data/text; do
[ ! -f $f ] && echo "score_mbr.sh: no such file $f" && exit 1;
done
mkdir -p $dir/scoring/log
cat $data/text | sed 's:<NOISE>::g' | sed 's:<SPOKEN_NOISE>::g' > $dir/scoring/test_filt.txt
# We submit the jobs separately, not as an array, because it's hard
# to get the inverse of the LM scales.
rm $dir/.error 2>/dev/null
for inv_acwt in `seq $min_lmwt $max_lmwt`; do
acwt=`perl -e "print (1.0/$inv_acwt);"`
$cmd $dir/scoring/rescore_mbr.${inv_acwt}.log \
lattice-mbr-decode --acoustic-scale=$acwt --word-symbol-table=$symtab \
"ark:gunzip -c $dir/lat.*.gz|" ark,t:$dir/scoring/${inv_acwt}.tra \
|| touch $dir/.error &
done
wait;
[ -f $dir/.error ] && echo "score_mbr.sh: errror getting MBR outout.";
$cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/score.LMWT.log \
cat $dir/scoring/LMWT.tra \| \
utils/int2sym.pl -f 2- $symtab \| sed 's:\<UNK\>::g' \| \
compute-wer --text --mode=present \
ark:$dir/scoring/test_filt.txt ark,p:- ">" $dir/wer_LMWT || exit 1;