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Merge pull request PaddlePaddle#29 from guoshengCS/fix-transformer
Update transformer
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,220 @@ | ||
| #! /usr/bin/env bash | ||
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| set -e | ||
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| OUTPUT_DIR=$PWD/gen_data | ||
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| ############################################################################### | ||
| # change these variables for other WMT data | ||
| ############################################################################### | ||
| OUTPUT_DIR_DATA="${OUTPUT_DIR}/wmt16_ende_data" | ||
| OUTPUT_DIR_BPE_DATA="${OUTPUT_DIR}/wmt16_ende_data_bpe" | ||
| LANG1="en" | ||
| LANG2="de" | ||
| # each of TRAIN_DATA: data_url data_file_lang1 data_file_lang2 | ||
| TRAIN_DATA=( | ||
| 'http://www.statmt.org/europarl/v7/de-en.tgz' | ||
| 'europarl-v7.de-en.en' 'europarl-v7.de-en.de' | ||
| 'http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz' | ||
| 'commoncrawl.de-en.en' 'commoncrawl.de-en.de' | ||
| 'http://data.statmt.org/wmt16/translation-task/training-parallel-nc-v11.tgz' | ||
| 'news-commentary-v11.de-en.en' 'news-commentary-v11.de-en.de' | ||
| ) | ||
| # each of DEV_TEST_DATA: data_url data_file_lang1 data_file_lang2 | ||
| DEV_TEST_DATA=( | ||
| 'http://data.statmt.org/wmt16/translation-task/dev.tgz' | ||
| 'newstest201[45]-deen-ref.en.sgm' 'newstest201[45]-deen-src.de.sgm' | ||
| 'http://data.statmt.org/wmt16/translation-task/test.tgz' | ||
| 'newstest2016-deen-ref.en.sgm' 'newstest2016-deen-src.de.sgm' | ||
| ) | ||
| ############################################################################### | ||
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| ############################################################################### | ||
| # change these variables for other WMT data | ||
| ############################################################################### | ||
| # OUTPUT_DIR_DATA="${OUTPUT_DIR}/wmt14_enfr_data" | ||
| # OUTPUT_DIR_BPE_DATA="${OUTPUT_DIR}/wmt14_enfr_data_bpe" | ||
| # LANG1="en" | ||
| # LANG2="fr" | ||
| # # each of TRAIN_DATA: ata_url data_tgz data_file | ||
| # TRAIN_DATA=( | ||
| # 'http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz' | ||
| # 'commoncrawl.fr-en.en' 'commoncrawl.fr-en.fr' | ||
| # 'http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz' | ||
| # 'training/europarl-v7.fr-en.en' 'training/europarl-v7.fr-en.fr' | ||
| # 'http://www.statmt.org/wmt14/training-parallel-nc-v9.tgz' | ||
| # 'training/news-commentary-v9.fr-en.en' 'training/news-commentary-v9.fr-en.fr' | ||
| # 'http://www.statmt.org/wmt10/training-giga-fren.tar' | ||
| # 'giga-fren.release2.fixed.en.*' 'giga-fren.release2.fixed.fr.*' | ||
| # 'http://www.statmt.org/wmt13/training-parallel-un.tgz' | ||
| # 'un/undoc.2000.fr-en.en' 'un/undoc.2000.fr-en.fr' | ||
| # ) | ||
| # # each of DEV_TEST_DATA: data_url data_tgz data_file_lang1 data_file_lang2 | ||
| # DEV_TEST_DATA=( | ||
| # 'http://data.statmt.org/wmt16/translation-task/dev.tgz' | ||
| # '.*/newstest201[45]-fren-ref.en.sgm' '.*/newstest201[45]-fren-src.fr.sgm' | ||
| # 'http://data.statmt.org/wmt16/translation-task/test.tgz' | ||
| # '.*/newstest2016-fren-ref.en.sgm' '.*/newstest2016-fren-src.fr.sgm' | ||
| # ) | ||
| ############################################################################### | ||
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| mkdir -p $OUTPUT_DIR_DATA $OUTPUT_DIR_BPE_DATA | ||
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| # Extract training data | ||
| for ((i=0;i<${#TRAIN_DATA[@]};i+=3)); do | ||
| data_url=${TRAIN_DATA[i]} | ||
| data_tgz=${data_url##*/} # training-parallel-commoncrawl.tgz | ||
| data=${data_tgz%.*} # training-parallel-commoncrawl | ||
| data_lang1=${TRAIN_DATA[i+1]} | ||
| data_lang2=${TRAIN_DATA[i+2]} | ||
| if [ ! -e ${OUTPUT_DIR_DATA}/${data_tgz} ]; then | ||
| echo "Download "${data_url} | ||
| wget -O ${OUTPUT_DIR_DATA}/${data_tgz} ${data_url} | ||
| fi | ||
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| if [ ! -d ${OUTPUT_DIR_DATA}/${data} ]; then | ||
| echo "Extract "${data_tgz} | ||
| mkdir -p ${OUTPUT_DIR_DATA}/${data} | ||
| tar_type=${data_tgz:0-3} | ||
| if [ ${tar_type} == "tar" ]; then | ||
| tar -xvf ${OUTPUT_DIR_DATA}/${data_tgz} -C ${OUTPUT_DIR_DATA}/${data} | ||
| else | ||
| tar -xvzf ${OUTPUT_DIR_DATA}/${data_tgz} -C ${OUTPUT_DIR_DATA}/${data} | ||
| fi | ||
| fi | ||
| # concatenate all training data | ||
| for data_lang in $data_lang1 $data_lang2; do | ||
| for f in `find ${OUTPUT_DIR_DATA}/${data} -regex ".*/${data_lang}"`; do | ||
| data_dir=`dirname $f` | ||
| data_file=`basename $f` | ||
| f_base=${f%.*} | ||
| f_ext=${f##*.} | ||
| if [ $f_ext == "gz" ]; then | ||
| gunzip $f | ||
| l=${f_base##*.} | ||
| f_base=${f_base%.*} | ||
| else | ||
| l=${f_ext} | ||
| fi | ||
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| if [ $i -eq 0 ]; then | ||
| cat ${f_base}.$l > ${OUTPUT_DIR_DATA}/train.$l | ||
| else | ||
| cat ${f_base}.$l >> ${OUTPUT_DIR_DATA}/train.$l | ||
| fi | ||
| done | ||
| done | ||
| done | ||
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| # Clone mosesdecoder | ||
| if [ ! -d ${OUTPUT_DIR}/mosesdecoder ]; then | ||
| echo "Cloning moses for data processing" | ||
| git clone https://github.com/moses-smt/mosesdecoder.git ${OUTPUT_DIR}/mosesdecoder | ||
| fi | ||
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| # Extract develop and test data | ||
| dev_test_data="" | ||
| for ((i=0;i<${#DEV_TEST_DATA[@]};i+=3)); do | ||
| data_url=${DEV_TEST_DATA[i]} | ||
| data_tgz=${data_url##*/} # training-parallel-commoncrawl.tgz | ||
| data=${data_tgz%.*} # training-parallel-commoncrawl | ||
| data_lang1=${DEV_TEST_DATA[i+1]} | ||
| data_lang2=${DEV_TEST_DATA[i+2]} | ||
| if [ ! -e ${OUTPUT_DIR_DATA}/${data_tgz} ]; then | ||
| echo "Download "${data_url} | ||
| wget -O ${OUTPUT_DIR_DATA}/${data_tgz} ${data_url} | ||
| fi | ||
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| if [ ! -d ${OUTPUT_DIR_DATA}/${data} ]; then | ||
| echo "Extract "${data_tgz} | ||
| mkdir -p ${OUTPUT_DIR_DATA}/${data} | ||
| tar_type=${data_tgz:0-3} | ||
| if [ ${tar_type} == "tar" ]; then | ||
| tar -xvf ${OUTPUT_DIR_DATA}/${data_tgz} -C ${OUTPUT_DIR_DATA}/${data} | ||
| else | ||
| tar -xvzf ${OUTPUT_DIR_DATA}/${data_tgz} -C ${OUTPUT_DIR_DATA}/${data} | ||
| fi | ||
| fi | ||
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| for data_lang in $data_lang1 $data_lang2; do | ||
| for f in `find ${OUTPUT_DIR_DATA}/${data} -regex ".*/${data_lang}"`; do | ||
| data_dir=`dirname $f` | ||
| data_file=`basename $f` | ||
| data_out=`echo ${data_file} | cut -d '-' -f 1` # newstest2016 | ||
| l=`echo ${data_file} | cut -d '.' -f 2` # en | ||
| dev_test_data="${dev_test_data}\|${data_out}" # to make regexp | ||
| if [ ! -e ${OUTPUT_DIR_DATA}/${data_out}.$l ]; then | ||
| ${OUTPUT_DIR}/mosesdecoder/scripts/ems/support/input-from-sgm.perl \ | ||
| < $f > ${OUTPUT_DIR_DATA}/${data_out}.$l | ||
| fi | ||
| done | ||
| done | ||
| done | ||
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| # Tokenize data | ||
| for l in ${LANG1} ${LANG2}; do | ||
| for f in `ls ${OUTPUT_DIR_DATA}/*.$l | grep "\(train${dev_test_data}\)\.$l$"`; do | ||
| f_base=${f%.*} # dir/train dir/newstest2016 | ||
| f_out=$f_base.tok.$l | ||
| if [ ! -e $f_out ]; then | ||
| echo "Tokenize "$f | ||
| ${OUTPUT_DIR}/mosesdecoder/scripts/tokenizer/tokenizer.perl -q -l $l -threads 8 < $f > $f_out | ||
| fi | ||
| done | ||
| done | ||
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| # Clean data | ||
| for f in ${OUTPUT_DIR_DATA}/train.${LANG1} ${OUTPUT_DIR_DATA}/train.tok.${LANG1}; do | ||
| f_base=${f%.*} # dir/train dir/train.tok | ||
| f_out=${f_base}.clean | ||
| if [ ! -e $f_out.${LANG1} ] && [ ! -e $f_out.${LANG2} ]; then | ||
| echo "Clean "${f_base} | ||
| ${OUTPUT_DIR}/mosesdecoder/scripts/training/clean-corpus-n.perl $f_base ${LANG1} ${LANG2} ${f_out} 1 80 | ||
| fi | ||
| done | ||
|
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| # Clone subword-nmt and generate BPE data | ||
| if [ ! -d ${OUTPUT_DIR}/subword-nmt ]; then | ||
| git clone https://github.com/rsennrich/subword-nmt.git ${OUTPUT_DIR}/subword-nmt | ||
| fi | ||
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| # Generate BPE data and vocabulary | ||
| for num_operations in 32000; do | ||
| if [ ! -e ${OUTPUT_DIR_BPE_DATA}/bpe.${num_operations} ]; then | ||
| echo "Learn BPE with ${num_operations} merge operations" | ||
| cat ${OUTPUT_DIR_DATA}/train.tok.clean.${LANG1} ${OUTPUT_DIR_DATA}/train.tok.clean.${LANG2} | \ | ||
| ${OUTPUT_DIR}/subword-nmt/learn_bpe.py -s $num_operations > ${OUTPUT_DIR_BPE_DATA}/bpe.${num_operations} | ||
| fi | ||
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| for l in ${LANG1} ${LANG2}; do | ||
| for f in `ls ${OUTPUT_DIR_DATA}/*.$l | grep "\(train${dev_test_data}\)\.tok\(\.clean\)\?\.$l$"`; do | ||
| f_base=${f%.*} # dir/train.tok dir/train.tok.clean dir/newstest2016.tok | ||
| f_base=${f_base##*/} # train.tok train.tok.clean newstest2016.tok | ||
| f_out=${OUTPUT_DIR_BPE_DATA}/${f_base}.bpe.${num_operations}.$l | ||
| if [ ! -e $f_out ]; then | ||
| echo "Apply BPE to "$f | ||
| ${OUTPUT_DIR}/subword-nmt/apply_bpe.py -c ${OUTPUT_DIR_BPE_DATA}/bpe.${num_operations} < $f > $f_out | ||
| fi | ||
| done | ||
| done | ||
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| if [ ! -e ${OUTPUT_DIR_BPE_DATA}/vocab.bpe.${num_operations} ]; then | ||
| echo "Create vocabulary for BPE data" | ||
| cat ${OUTPUT_DIR_BPE_DATA}/train.tok.clean.bpe.${num_operations}.${LANG1} ${OUTPUT_DIR_BPE_DATA}/train.tok.clean.bpe.${num_operations}.${LANG2} | \ | ||
| ${OUTPUT_DIR}/subword-nmt/get_vocab.py | cut -f1 -d ' ' > ${OUTPUT_DIR_BPE_DATA}/vocab.bpe.${num_operations} | ||
| fi | ||
| done | ||
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| # Adapt to the reader | ||
| for f in ${OUTPUT_DIR_BPE_DATA}/*.bpe.${num_operations}.${LANG1}; do | ||
| f_base=${f%.*} # dir/train.tok.clean.bpe.32000 dir/newstest2016.tok.bpe.32000 | ||
| f_out=${f_base}.${LANG1}-${LANG2} | ||
| if [ ! -e $f_out ]; then | ||
| paste -d '\t' $f_base.${LANG1} $f_base.${LANG2} > $f_out | ||
| fi | ||
| done | ||
| if [ ! -e ${OUTPUT_DIR_BPE_DATA}/vocab_all.bpe.${num_operations} ]; then | ||
| sed '1i\<s>\n<e>\n<unk>' ${OUTPUT_DIR_BPE_DATA}/vocab.bpe.${num_operations} > ${OUTPUT_DIR_BPE_DATA}/vocab_all.bpe.${num_operations} | ||
| fi | ||
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| echo "All done." |
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