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#!/usr/bin/env bash |
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echo 'Cloning Moses github repository (for tokenization scripts)...' |
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git clone https://github.com/moses-smt/mosesdecoder.git |
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echo 'Cloning Subword NMT repository (for BPE pre-processing)...' |
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git clone https://github.com/rsennrich/subword-nmt.git |
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SCRIPTS=mosesdecoder/scripts |
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TOKENIZER=$SCRIPTS/tokenizer/tokenizer.perl |
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LC=$SCRIPTS/tokenizer/lowercase.perl |
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CLEAN=$SCRIPTS/training/clean-corpus-n.perl |
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BPEROOT=subword-nmt/subword_nmt |
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BPE_TOKENS=10000 |
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URL="http://dl.fbaipublicfiles.com/fairseq/data/iwslt14/de-en.tgz" |
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GZ=de-en.tgz |
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if [ ! -d "$SCRIPTS" ]; then |
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echo "Please set SCRIPTS variable correctly to point to Moses scripts." |
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exit |
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fi |
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src=de |
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tgt=en |
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lang=de-en |
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prep=iwslt14.tokenized.de-en |
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tmp=$prep/tmp |
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orig=orig |
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mkdir -p $orig $tmp $prep |
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echo "Downloading data from ${URL}..." |
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cd $orig |
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wget "$URL" |
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if [ -f $GZ ]; then |
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echo "Data successfully downloaded." |
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else |
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echo "Data not successfully downloaded." |
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exit |
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fi |
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tar zxvf $GZ |
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cd .. |
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echo "pre-processing train data..." |
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for l in $src $tgt; do |
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f=train.tags.$lang.$l |
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tok=train.tags.$lang.tok.$l |
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cat $orig/$lang/$f | \ |
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grep -v '<url>' | \ |
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grep -v '<talkid>' | \ |
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grep -v '<keywords>' | \ |
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sed -e 's/<title>//g' | \ |
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sed -e 's/<\/title>//g' | \ |
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sed -e 's/<description>//g' | \ |
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sed -e 's/<\/description>//g' | \ |
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perl $TOKENIZER -threads 8 -l $l > $tmp/$tok |
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echo "" |
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done |
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perl $CLEAN -ratio 1.5 $tmp/train.tags.$lang.tok $src $tgt $tmp/train.tags.$lang.clean 1 175 |
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for l in $src $tgt; do |
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perl $LC < $tmp/train.tags.$lang.clean.$l > $tmp/train.tags.$lang.$l |
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done |
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echo "pre-processing valid/test data..." |
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for l in $src $tgt; do |
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for o in `ls $orig/$lang/IWSLT14.TED*.$l.xml`; do |
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fname=${o##*/} |
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f=$tmp/${fname%.*} |
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echo $o $f |
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grep '<seg id' $o | \ |
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sed -e 's/<seg id="[0-9]*">\s*//g' | \ |
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sed -e 's/\s*<\/seg>\s*//g' | \ |
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sed -e "s/\’/\'/g" | \ |
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perl $TOKENIZER -threads 8 -l $l | \ |
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perl $LC > $f |
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echo "" |
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done |
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done |
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echo "creating train, valid, test..." |
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for l in $src $tgt; do |
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awk '{if (NR%23 == 0) print $0; }' $tmp/train.tags.de-en.$l > $tmp/valid.$l |
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awk '{if (NR%23 != 0) print $0; }' $tmp/train.tags.de-en.$l > $tmp/train.$l |
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cat $tmp/IWSLT14.TED.dev2010.de-en.$l \ |
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$tmp/IWSLT14.TEDX.dev2012.de-en.$l \ |
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$tmp/IWSLT14.TED.tst2010.de-en.$l \ |
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$tmp/IWSLT14.TED.tst2011.de-en.$l \ |
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$tmp/IWSLT14.TED.tst2012.de-en.$l \ |
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> $tmp/test.$l |
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done |
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TRAIN=$tmp/train.en-de |
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BPE_CODE=$prep/code |
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rm -f $TRAIN |
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for l in $src $tgt; do |
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cat $tmp/train.$l >> $TRAIN |
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done |
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echo "learn_bpe.py on ${TRAIN}..." |
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python $BPEROOT/learn_bpe.py -s $BPE_TOKENS < $TRAIN > $BPE_CODE |
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for L in $src $tgt; do |
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for f in train.$L valid.$L test.$L; do |
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echo "apply_bpe.py to ${f}..." |
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python $BPEROOT/apply_bpe.py -c $BPE_CODE < $tmp/$f > $prep/$f |
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done |
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done |
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