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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/\β/\'/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 | |