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egs/farsdat/s5/local/farsdat_format_data.sh
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#!/bin/bash # Copyright 2013 (Author: Daniel Povey, Bagher BabaAli) # Apache 2.0 # This script takes data prepared in a corpus-dependent way # in data/local/, and converts it into the "canonical" form, # in various subdirectories of data/, e.g. data/lang, data/train, etc. . ./path.sh || exit 1; echo "Preparing train, dev and test data" srcdir=data/local/data lmdir=data/local/nist_lm tmpdir=data/local/lm_tmp lexicon=data/local/dict/lexicon.txt mkdir -p $tmpdir # Next, for each type of language model, create the corresponding FST # and the corresponding lang_test_* directory. echo Preparing language models for test for lm_suffix in bg; do test=data/lang_test_${lm_suffix} mkdir -p $test cp -r data/lang/* $test gunzip -c $lmdir/lm_phone_${lm_suffix}.arpa.gz | \ arpa2fst --disambig-symbol=#0 \ --read-symbol-table=$test/words.txt - $test/G.fst fstisstochastic $test/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). # Because of the <s> fiasco for these particular LMs, the first number is not # as close to zero as it could be. # Everything below is only for diagnostic. # Checking that G has no cycles with empty words on them (e.g. <s>, </s>); # this might cause determinization failure of CLG. # #0 is treated as an empty word. mkdir -p $tmpdir/g awk '{if(NF==1){ printf("0 0 %s %s ", $1,$1); }} END{print "0 0 #0 #0"; print "0";}' \ < "$lexicon" >$tmpdir/g/select_empty.fst.txt fstcompile --isymbols=$test/words.txt --osymbols=$test/words.txt $tmpdir/g/select_empty.fst.txt | \ fstarcsort --sort_type=olabel | fstcompose - $test/G.fst > $tmpdir/g/empty_words.fst fstinfo $tmpdir/g/empty_words.fst | grep cyclic | grep -w 'y' && echo "Language model has cycles with empty words" && exit 1 rm -r $tmpdir/g done utils/validate_lang.pl data/lang_test_bg || exit 1 echo "Succeeded in formatting data." rm -r $tmpdir |