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preprocessing.sh
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preprocessing.sh
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#!/bin/bash
# Data preprocessing
# - desgmise
# - train monolingual data
# - train parallel data
# - reference translations and MT outputs
# removes SGM markup
function desgmise {
INPUT=$1
echo "desgm $INPUT"
cat $INPUT | \
perl -ne 'print $1."\n" if /<seg[^>]+>\s*(.*)\s*<.seg>/i;' \
> "${INPUT%.*}"
}
# convert systems' outputs to plain text
function desgmises_systems {
for i in systems/*.sgm; do
desgmise $i
done
}
# convert reference translations to plain text
function desgmises_references {
for i in references/*.sgm; do
desgmise $i
done
}
# pre-processes monolingual data (will be used to build language models)
# tokenisation and true-casing
# NOTE: the data needs to be downloaded first with data_train_mono/get_data_train_mono.sh
function preprocess_train_mono {
echo "----- preprocess train mono -----"
echo " en"
zcat data_train_mono/news.2015.en.shuffled.gz | python code/tokenizer.py english \
> data_train_mono/news.2015.en.shuffled.tok
perl third/moses/recaser/train-truecaser.perl --model data_train_mono/truecasemodel.en --corpus data_train_mono/news.2015.en.shuffled.tok
cat data_train_mono/news.2015.en.shuffled.tok | perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.en \
| gzip > data_train_mono/news.2015.en.shuffled.tok.true.gz
echo " cs"
zcat data_train_mono/news.2015.cs.shuffled.gz | python code/tokenizer.py czech \
> data_train_mono/news.2015.cs.shuffled.tok
perl third/moses/recaser/train-truecaser.perl --model data_train_mono/truecasemodel.cs --corpus data_train_mono/news.2015.cs.shuffled.tok
cat data_train_mono/news.2015.cs.shuffled.tok | perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.cs \
| gzip > data_train_mono/news.2015.cs.shuffled.tok.true.gz
echo " de"
zcat data_train_mono/news.2015.de.shuffled.gz | python code/tokenizer.py german \
> data_train_mono/news.2015.de.shuffled.tok
perl third/moses/recaser/train-truecaser.perl --model data_train_mono/truecasemodel.de --corpus data_train_mono/news.2015.de.shuffled.tok
cat data_train_mono/news.2015.de.shuffled.tok | perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.de \
| gzip > data_train_mono/news.2015.de.shuffled.tok.true.gz
echo " fi"
zcat data_train_mono/news.2015.fi.shuffled.gz | python code/tokenizer.py finnish \
> data_train_mono/news.2015.fi.shuffled.tok
perl third/moses/recaser/train-truecaser.perl --model data_train_mono/truecasemodel.fi --corpus data_train_mono/news.2015.fi.shuffled.tok
cat data_train_mono/news.2015.fi.shuffled.tok | perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.fi \
| gzip > data_train_mono/news.2015.fi.shuffled.tok.true.gz
echo " ro"
zcat data_train_mono/news.2015.ro.shuffled.gz | perl third/moses/tokenizer/tokenizer.perl -l ro \
> data_train_mono/news.2015.ro.shuffled.tok
perl third/moses/recaser/train-truecaser.perl --model data_train_mono/truecasemodel.ro --corpus data_train_mono/news.2015.ro.shuffled.tok
cat data_train_mono/news.2015.ro.shuffled.tok | perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.ro \
| gzip > data_train_mono/news.2015.ro.shuffled.tok.true.gz
echo " ru"
zcat data_train_mono/news.2015.ru.shuffled.gz | perl third/moses/tokenizer/tokenizer.perl -l ru \
> data_train_mono/news.2015.ru.shuffled.tok
perl third/moses/recaser/train-truecaser.perl --model data_train_mono/truecasemodel.ru --corpus data_train_mono/news.2015.ru.shuffled.tok
cat data_train_mono/news.2015.ru.shuffled.tok | perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.ru \
| gzip > data_train_mono/news.2015.ru.shuffled.tok.true.gz
}
# pre-processes parallel data (will be used to build TODO)
# tokenisation and true-casing
# NOTE: the data needs to be downloaded first with data_train_parallel/get_data_train_parallel.sh
function preprocess_train_parallel {
echo "----- preprocess train parallel -----"
DATADIR=data_train_parallel
# NOTE some input files need to be passed through: fromdos and perl -p -i -e "s/\r//g" news-commentary-v11.de-en.?? and sed -i.old $'s/\xE2\x80\xA8/ /g' inFile
echo " deen, de"
cat $DATADIR/news-commentary-v11.de-en.de | head -n 100000 | python code/tokenizer.py german \
| perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.de \
> $DATADIR/news-commentary-v11.tok.true.de-en.de
echo " deen, en"
cat $DATADIR/news-commentary-v11.de-en.en | head -n 100000 | python code/tokenizer.py english \
| perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.en \
> $DATADIR/news-commentary-v11.tok.true.de-en.en
echo " fien, fi"
cat $DATADIR/europarl-v8.fi-en.fi | head -n 100000 | python code/tokenizer.py finnish \
| perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.fi \
> $DATADIR/europarl-v8.tok.true.fi-en.fi
echo " fien, en"
cat $DATADIR/europarl-v8.fi-en.en | head -n 100000 | python code/tokenizer.py english \
| perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.en \
> $DATADIR/europarl-v8.tok.true.fi-en.en
echo " roen, ro"
cat $DATADIR/europarl-v8.ro-en.ro | head -n 100000 \
| perl third/moses/tokenizer/tokenizer.perl -l ro \
| perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.ro \
> $DATADIR/europarl-v8.tok.true.ro-en.ro
echo " roen, en"
cat $DATADIR/europarl-v8.ro-en.en | head -n 100000 | python code/tokenizer.py english \
| perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.en \
> $DATADIR/europarl-v8.tok.true.ro-en.en
echo " ruen, ru"
perl -p -i -e "s/\r//g" data_train_parallel/news-commentary-v11.ru-en.??
sed -i.old $'s/\xE2\x80\xA8/ /g' data_train_parallel/news-commentary-v11.ru-en.en
cat $DATADIR/news-commentary-v11.ru-en.ru | head -n 100000 \
| perl third/moses/tokenizer/tokenizer.perl -l ru \
| perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.ru \
> $DATADIR/news-commentary-v11.tok.true.ru-en.ru
echo " ruen, en"
cat $DATADIR/news-commentary-v11.ru-en.en | head -n 100000 | python code/tokenizer.py english \
| perl third/moses/recaser/truecase.perl --model data_train_mono/truecasemodel.en \
> $DATADIR/news-commentary-v11.tok.true.ru-en.en
}
# pre-processes reference translatoins and systems (i.e. MT outputs)
# tokenisation, true-casing and stemming (for Hjerson)
# NOTE: systems used... TODO
# All languages use NLTK tokenizer+stemmer, except:
# - Czech: stemmer http://research.variancia.com/czech_stemmer/
# - Romanian: tokenizer Moses v3
# - Russian: tokenizer Moses v3
function preprocess_test {
echo "----- preprocess test -----"
for i in references/*cs systems/encs-?mt?; do
echo "Preprocessing (tokenise + truecase + stem) $i"
cat $i | python code/tokenizer.py czech > $i.tok
cat $i.tok | perl third/moses/recaser/truecase.perl \
--model data_train_mono/truecasemodel.cs \
> $i.tok.true
cat $i.tok.true | python3 third/czech_stemmer_rev0/czech_stemmer.py light > $i.tok.true.base-light 2> $i.tok.true.base-light.log
cat $i.tok.true | python3 third/czech_stemmer_rev0/czech_stemmer.py aggressive > $i.tok.true.base-aggressive 2> $i.tok.true.base-aggressive.log
done
for i in references/*de systems/ende-?mt?; do
echo "Preprocessing (tokenise + truecase + stem) $i"
cat $i | python code/tokenizer.py german > $i.tok
cat $i.tok | python code/stemmer.py german > $i.tok.base
cat $i.tok | perl third/moses/recaser/truecase.perl \
--model data_train_mono/truecasemodel.de \
> $i.tok.true
cat $i.tok.true | python code/stemmer.py german > $i.tok.true.base
done
for i in references/*fi systems/enfi-?mt?; do
echo "Preprocessing (tokenise + truecase + stem) $i"
cat $i | python code/tokenizer.py finnish > $i.tok
cat $i.tok | python code/stemmer.py finnish > $i.tok.base
cat $i.tok | perl third/moses/recaser/truecase.perl \
--model data_train_mono/truecasemodel.fi \
> $i.tok.true
cat $i.tok.true | python code/stemmer.py finnish > $i.tok.true.base
done
# Romanian, Russian not in punkt, so we cannot use NLTK tokenizer!
for i in references/*ro systems/enro-?mt?; do
echo "Preprocessing (tokenise + truecase + stem) $i"
cat $i | perl third/moses/tokenizer/tokenizer.perl -l ro > $i.tok
cat $i.tok | python code/stemmer.py romanian > $i.tok.base
cat $i.tok | perl third/moses/recaser/truecase.perl \
--model data_train_mono/truecasemodel.ro \
> $i.tok.true
cat $i.tok.true | python code/stemmer.py romanian > $i.tok.true.base
done
for i in references/*ru systems/enru-?mt?; do
echo "Preprocessing (tokenise + truecase + stem) $i"
cat $i | perl third/moses/tokenizer/tokenizer.perl -l ru > $i.tok
cat $i.tok | python code/stemmer.py russian > $i.tok.base
cat $i.tok | perl third/moses/recaser/truecase.perl \
--model data_train_mono/truecasemodel.ru \
> $i.tok.true
cat $i.tok.true | python code/stemmer.py russian > $i.tok.true.base
done
for i in references/*en systems/??en-?mt?; do
echo "Preprocessing (tokenise + truecase + stem) $i"
cat $i | python code/tokenizer.py english > $i.tok
cat $i.tok | python code/stemmer.py english > $i.tok.base
cat $i.tok | perl third/moses/recaser/truecase.perl \
--model data_train_mono/truecasemodel.en \
> $i.tok.true
cat $i.tok.true | python code/stemmer.py english > $i.tok.true.base
done
}
# ----------- desgmise
desgmises_systems
desgmises_references
# ----------- data preprocessing
preprocess_train_mono
preprocess_train_parallel # run after preprocess_train_mono as it needs truecase models built there
preprocess_test # run after preprocess_train_mono as it needs truecase models built there