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| # | |
| # 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=$SCRIPTS/training/clean-corpus-n.perl | |
| BPEROOT=subword-nmt/subword_nmt | |
| BPE_TOKENS=10000 | |
| URL="http://dl.fbaipublicfiles.com/fairseq/data/iwslt14/de-en.tgz" | |
| GZ=de-en.tgz | |
| if [ ! -d "$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 '<url>' | \ | |
| grep -v '<talkid>' | \ | |
| grep -v '<keywords>' | \ | |
| sed -e 's/<title>//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 | |