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prepare-iwslt14.sh
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prepare-iwslt14.sh
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#!/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=$SCRIPTS/training/clean-corpus-n.perl
BPEROOT=subword-nmt
BPE_TOKENS=25000
URL="https://wit3.fbk.eu/archive/2014-01/texts/de/en/de-en.tgz"
GZ=de-en.tgz
if [ ! -d "$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 '<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