WAT 2018

The 5th Workshop on Asian Translation

Baseline Systems

Data preparation for the JC and CJ subtasks

Setup

MOSES_SCRIPT=${path}/mosesdecoder-RELEASE-2.1.1/scripts
SCRIPT_DIR=${path}/script.converter.distribution


cd corpus.org/


Extracting sentences

for name in dev test train; do
  perl -ne 'chomp; @a=split/ \|\|\| /; print $a[1], "\n";' < ${name}.txt > ${name}.ja.txt
  perl -ne 'chomp; @a=split/ \|\|\| /; print $a[2], "\n";' < ${name}.txt > ${name}.zh.txt
done

cd ..


For NMT

mkdir corpus.tok
cd corpus.tok


Tokenizing sentences in Japanese

for file in train dev test; do
  cat ../corpus.org/${file}.ja.txt | \
    perl -Mencoding=utf8 -pe 's/　/ /g;' | \
    juman -b | \
    perl -ne 'chomp; if($_ eq "EOS"){print join(" ",@b),"\n"; @b=();} else {@a=split/ /; push @b, $a[0];}' | \
    perl -pe 's/^ +//; s/ +$//; s/ +/ /g;' | \
    perl -Mencoding=utf8 -pe 'tr/\|[]/｜［］/; ' \
    > ${file}.ja
done


Tokenizing sentences in Chinese

for name in dev test train; do
  ${path}/stanford-segmenter-2014-01-04/segment.sh ctb ../corpus.org/${name}.zh.txt UTF-8 0 | \
    perl -Mencoding=utf8 -pe 'tr/\|[]/｜［］/; ' \
    > ${name}.zh
done
cd ..


Applying BPE (see Data preparation by BPE)

NICT (National Institute of Information and Communications Technology)
Kyoto University
Last Modified: 2018-07-30