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egs/wsj/s5/utils/format_lm_sri.sh
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#!/bin/bash
# Copyright 2012 Arnab Ghoshal
# Copyright 2010-2011 Microsoft Corporation
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
# WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
# MERCHANTABLITY OR NON-INFRINGEMENT.
# See the Apache 2 License for the specific language governing permissions and
# limitations under the License.
# Begin configuration section.
srilm_opts="-subset -prune-lowprobs -unk -tolower"
# end configuration sections
. utils/parse_options.sh
if [ $# -ne 4 ] && [ $# -ne 3 ]; then
echo "Usage: $0 [options] <lang-dir> <arpa-LM> [<lexicon>] <out-dir>"
echo "The <lexicon> argument is no longer needed but is supported for back compatibility"
echo "E.g.: utils/format_lm_sri.sh data/lang data/local/lm/foo.kn.gz data/local/dict/lexicon.txt data/lang_test"
echo "Converts ARPA-format language models to FSTs. Change the LM vocabulary using SRILM."
echo "Note: if you want to just convert ARPA LMs to FSTs, there is a simpler way to do this"
echo "that doesn't require SRILM: see utils/format_lm.sh"
echo "options:"
echo " --help # print this message and exit"
echo " --srilm-opts STRING # options to pass to SRILM tools (default: '$srilm_opts')"
exit 1;
fi
if [ $# -eq 4 ] ; then
lang_dir=$1
lm=$2
lexicon=$3
out_dir=$4
else
lang_dir=$1
lm=$2
out_dir=$3
fi
for f in $lm $lang_dir/words.txt; do
if [ ! -f $f ]; then
echo "$0: expected input file $f to exist."
exit 1;
fi
done
[ -f ./path.sh ] && . ./path.sh
loc=`which change-lm-vocab`
if [ -z $loc ]; then
echo You appear to not have SRILM tools installed.
echo cd to $KALDI_ROOT/tools and run extras/install_srilm.sh.
exit 1
fi
echo "Converting '$lm' to FST"
tmpdir=$(mktemp -d /tmp/kaldi.XXXX);
trap 'rm -rf "$tmpdir"' EXIT
mkdir -p $out_dir
cp -r $lang_dir/* $out_dir || exit 1;
awk '{print $1}' $out_dir/words.txt > $tmpdir/voc || exit 1;
# Change the LM vocabulary to be the intersection of the current LM vocabulary
# and the set of words in the pronunciation lexicon. This also renormalizes the
# LM by recomputing the backoff weights, and remove those ngrams whose
# probabilities are lower than the backed-off estimates.
change-lm-vocab -vocab $tmpdir/voc -lm $lm -write-lm - $srilm_opts | \
arpa2fst --disambig-symbol=#0 \
--read-symbol-table=$out_dir/words.txt - $out_dir/G.fst || exit 1
fstisstochastic $out_dir/G.fst
# The output is like:
# 9.14233e-05 -0.259833
# we do expect the first of these 2 numbers to be close to zero (the second is
# nonzero because the backoff weights make the states sum to >1).
echo "Succeeded in formatting LM '$lm' -> '$out_dir/G.fst'"
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