#!/usr/bin/env bash # # Adapted from https://github.com/facebookresearch/MIXER/blob/master/prepareData.sh echo 'Cloning Moses github repository (for tokenization scripts)...' git clone https://github.com/moses-smt/mosesdecoder.git echo 'Cloning Subword NMT repository (for BPE pre-processing)...' git clone https://github.com/rsennrich/subword-nmt.git SCRIPTS=mosesdecoder/scripts TOKENIZER=$SCRIPTS/tokenizer/tokenizer.perl LC=$SCRIPTS/tokenizer/lowercase.perl CLEAN=$SCRIPTS/training/clean-corpus-n.perl BPEROOT=subword-nmt BPE_TOKENS=10000 URL="https://wit3.fbk.eu/archive/2014-01/texts/de/en/de-en.tgz" GZ=de-en.tgz if [ ! -d "$SCRIPTS" ]; then echo "Please set SCRIPTS variable correctly to point to Moses scripts." exit fi src=de tgt=en lang=de-en prep=iwslt14.tokenized.de-en tmp=$prep/tmp orig=orig mkdir -p $orig $tmp $prep echo "Downloading data from ${URL}..." cd $orig wget "$URL" if [ -f $GZ ]; then echo "Data successfully downloaded." else echo "Data not successfully downloaded." exit fi tar zxvf $GZ cd .. echo "pre-processing train data..." for l in $src $tgt; do f=train.tags.$lang.$l tok=train.tags.$lang.tok.$l cat $orig/$lang/$f | \ grep -v '' | \ grep -v '' | \ grep -v '' | \ sed -e 's///g' | \ sed -e 's/<\/title>//g' | \ sed -e 's/<description>//g' | \ sed -e 's/<\/description>//g' | \ perl $TOKENIZER -threads 8 -l $l > $tmp/$tok echo "" done perl $CLEAN -ratio 1.5 $tmp/train.tags.$lang.tok $src $tgt $tmp/train.tags.$lang.clean 1 175 for l in $src $tgt; do perl $LC < $tmp/train.tags.$lang.clean.$l > $tmp/train.tags.$lang.$l done echo "pre-processing valid/test data..." for l in $src $tgt; do for o in `ls $orig/$lang/IWSLT14.TED*.$l.xml`; do fname=${o##*/} f=$tmp/${fname%.*} echo $o $f grep '<seg id' $o | \ sed -e 's/<seg id="[0-9]*">\s*//g' | \ sed -e 's/\s*<\/seg>\s*//g' | \ sed -e "s/\’/\'/g" | \ perl $TOKENIZER -threads 8 -l $l | \ perl $LC > $f echo "" done done echo "creating train, valid, test..." for l in $src $tgt; do awk '{if (NR%23 == 0) print $0; }' $tmp/train.tags.de-en.$l > $tmp/valid.$l awk '{if (NR%23 != 0) print $0; }' $tmp/train.tags.de-en.$l > $tmp/train.$l cat $tmp/IWSLT14.TED.dev2010.de-en.$l \ $tmp/IWSLT14.TEDX.dev2012.de-en.$l \ $tmp/IWSLT14.TED.tst2010.de-en.$l \ $tmp/IWSLT14.TED.tst2011.de-en.$l \ $tmp/IWSLT14.TED.tst2012.de-en.$l \ > $tmp/test.$l done TRAIN=$tmp/train.en-de BPE_CODE=$prep/code rm -f $TRAIN for l in $src $tgt; do cat $tmp/train.$l >> $TRAIN done echo "learn_bpe.py on ${TRAIN}..." python $BPEROOT/learn_bpe.py -s $BPE_TOKENS < $TRAIN > $BPE_CODE for L in $src $tgt; do for f in train.$L valid.$L test.$L; do echo "apply_bpe.py to ${f}..." python $BPEROOT/apply_bpe.py -c $BPE_CODE < $tmp/$f > $prep/$f done done