Blame view
egs/vystadial_cz/s5/local/create_LMs.sh
3.07 KB
8dcb6dfcb first commit |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 |
#!/bin/bash # Copyright (c) 2013, Ondrej Platek, Ufal MFF UK <oplatek@ufal.mff.cuni.cz> # # 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. # locdata=$1; shift train_text=$1; shift test_text=$1; shift local_lm=$1; shift lms=$1; shift mkdir -p $local_lm echo "=== Preparing the LM ..." function build_0gram { echo "=== Building zerogram $lm from ${transcr}. ..." transcr=$1; lm=$2 cut -d' ' -f2- $transcr | tr ' ' ' ' | sort -u > $lm echo "<s>" >> $lm echo "</s>" >> $lm python -c """ import math with open('$lm', 'r+') as f: lines = f.readlines() p = math.log10(1/float(len(lines))); lines = ['%f\\t%s'%(p,l) for l in lines] f.seek(0); f.write('\ \\\\data\\\\\ ngram 1= %d\ \ \\\\1-grams:\ ' % len(lines)) f.write(''.join(lines) + '\\\\end\\\\') """ } for lm in $lms ; do lm_base=`basename $lm` if [ ${lm_base%[0-6]} != 'build' ] ; then cp $lm $local_lm else # We will build the LM 'build[0-9].arpa lm_order=${lm_base#build} echo "=== Building LM of order ${lm_order}..." if [ $lm_order -eq 0 ] ; then echo "Zerogram $lm_base LM is build from text: $test_text" cut -d' ' -f2- $test_text | sed -e 's:^:<s> :' -e 's:$: </s>:' | \ sort -u > $locdata/lm_test.txt build_0gram $locdata/lm_test.txt $local_lm/${lm_base} else echo "LM $lm_base is build from text: $train_text" cut -d' ' -f2- $train_text | sed -e 's:^:<s> :' -e 's:$: </s>:' | \ sort -u > $locdata/lm_train.txt ngram-count -text $locdata/lm_train.txt -order ${lm_order} \ -wbdiscount -interpolate -lm $local_lm/${lm_base} fi fi done echo "*** LMs preparation finished!" echo "=== Preparing the vocabulary ..." if [ "$DICTIONARY" == "build" ]; then echo; echo "Building dictionary from train data"; echo cut -d' ' -f2- $train_text | tr ' ' ' ' > $locdata/vocab-full-raw.txt else echo; echo "Using predefined dictionary: ${DICTIONARY}" echo "Throwing away first 2 rows."; echo tail -n +3 $DICTIONARY | cut -f 1 > $locdata/vocab-full-raw.txt fi echo '</s>' >> $locdata/vocab-full-raw.txt echo "Removing from vocabulary _NOISE_, and all '_' words from vocab-full.txt" cat $locdata/vocab-full-raw.txt | grep -v '_' | \ sort -u > $locdata/vocab-full.txt echo "*** Vocabulary preparation finished!" echo "Removing from vocabulary _NOISE_, and all '_' words from vocab-test.txt" cut -d' ' -f2 $test_text | tr ' ' ' ' | grep -v '_' | sort -u > $locdata/vocab-test.txt |