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April 6, 2017 18:09
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Conjoining nmt datasets
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#! /usr/bin/env bash | |
# Processes the v2 subtitles/aspec corpora into one combined corpus | |
# Requirements | |
# - Processed subtitlesv2 corpus | |
# - ASPEC | |
CORPUS1=$1 | |
CORPUS2=$2 | |
TARGET=$3 # target language = [ja, zh, fr] | |
LOC="/scr/rpryzant/chinese_english_corpora/" | |
A_PATH=$LOC$CORPUS1 | |
B_PATH=$LOC$CORPUS2 | |
OUTPUT_DIR=$LOC$CORPUS1"_"$CORPUS2"_processed" | |
mkdir -p $OUTPUT_DIR | |
######### SET UP CORPUS 1 | |
cd $A_PATH | |
# Shuffle corpus | |
paste en ${TARGET} | shuf > corpus.shuf | |
# Remove examples are empty string for either en or TARGET | |
sed -i '/^$/d' corpus.shuf | |
sed -i '/^\t.*$/d' corpus.shuf | |
sed -i '/^.*\t$/d' corpus.shuf | |
# Separate into en/ja | |
cat corpus.shuf | cut -f1 > corpus.shuf.en | |
cat corpus.shuf | cut -f2 > corpus.shuf.${TARGET} | |
# Split into train/dev/test | |
# First 1000 lines are dev, next 1000 lines are test, the rest is train | |
tail -n +2000 corpus.shuf.en > train.en | |
tail -n +2000 corpus.shuf.${TARGET} > train.${TARGET} | |
head -n 1000 corpus.shuf.en > dev.en | |
head -n 1000 corpus.shuf.${TARGET} > dev.${TARGET} | |
head -n 2000 corpus.shuf.en | tail -n +1000 > test.en | |
head -n 2000 corpus.shuf.${TARGET} | tail -n +1000 > test.${TARGET} | |
cd .. | |
######### SET UP CORPUS 2 | |
cd $B_PATH | |
# Shuffle corpus | |
paste en ${TARGET} | shuf > corpus.shuf | |
# Remove examples are empty string for either en or TARGET | |
sed -i '/^$/d' corpus.shuf | |
sed -i '/^\t.*$/d' corpus.shuf | |
sed -i '/^.*\t$/d' corpus.shuf | |
# Separate into en/ja | |
cat corpus.shuf | cut -f1 > corpus.shuf.en | |
cat corpus.shuf | cut -f2 > corpus.shuf.${TARGET} | |
# Split into train/dev/test | |
# First 1000 lines are dev, next 1000 lines are test, the rest is train | |
tail -n +2000 corpus.shuf.en > train.en | |
tail -n +2000 corpus.shuf.${TARGET} > train.${TARGET} | |
head -n 1000 corpus.shuf.en > dev.en | |
head -n 1000 corpus.shuf.${TARGET} > dev.${TARGET} | |
head -n 2000 corpus.shuf.en | tail -n +1000 > test.en | |
head -n 2000 corpus.shuf.${TARGET} | tail -n +1000 > test.${TARGET} | |
cd .. | |
######### SET UP SHARED CORPUS | |
cd $OUTPUT_DIR | |
# Learn BPE across both corpora | |
spm_train \ | |
--input=${A_PATH}/train.en,${B_PATH}/train.en,${A_PATH}/train.${TARGET},${B_PATH}/train.${TARGET} \ | |
--model_prefix=bpe \ | |
--vocab_size=32000 \ | |
--model_type=bpe | |
# Apply BPE to both corpora | |
for data in train dev test; do | |
spm_encode --model=bpe.model --output_format=piece \ | |
< ${A_PATH}/${data}.${TARGET} \ | |
> ${data}.${CORPUS1}.bpe.${TARGET} | |
spm_encode --model=bpe.model --output_format=piece \ | |
< ${B_PATH}/${data}.${TARGET} \ | |
> ${data}.${CORPUS2}.bpe.${TARGET} | |
spm_encode --model=bpe.model --output_format=piece \ | |
< ${A_PATH}/${data}.en \ | |
> ${data}.${CORPUS1}.bpe.en | |
spm_encode --model=bpe.model --output_format=piece \ | |
< ${B_PATH}/${data}.en \ | |
> ${data}.${CORPUS2}.bpe.en | |
done | |
# Create shuffled combined dataset | |
for data in train dev test; do | |
paste <(cat ${data}.${CORPUS1}.bpe.${TARGET} ${data}.${CORPUS2}.bpe.${TARGET}) <(cat ${data}.${CORPUS1}.bpe.en ${data}.${CORPUS2}.bpe.en) | shuf > ${data}.combined.bpe.shuf | |
cut -f1 ${data}.combined.bpe.shuf > ${data}.combined.bpe.${TARGET} | |
cut -f2 ${data}.combined.bpe.shuf > ${data}.combined.bpe.en | |
done | |
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