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WAT 2017

The 4th Workshop on Asian Translation
Baseline Systems
Data preparation for the JK and KJ subtask

[BASELINE SYSTEMS TOP] | [SETUP] | [FOR PHRASE-BASED AND HIERARCHICAL PHRASE-BASED SMT] | [FOR STRING-TO-TREE AND TREE-TO-STRING SMT]

Setup

We assume that there are JPO Patent Corpus text files (test.txt, dev.txt, and train.txt) in corpus.org/.
MOSES_SCRIPT=${path}/mosesdecoder-RELEASE-2.1.1/scripts
cd corpus.org/

  • Extracting sentences
  • for name in train dev test; do
      perl -ne 'chomp; @a=split/ \|\|\| /; print $a[3], "\n";' < ${name}.txt > ${name}.ko.txt
      perl -ne 'chomp; @a=split/ \|\|\| /; print $a[4], "\n";' < ${name}.txt > ${name}.ja.txt
    done

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    For Phrase-based and Hierarchical Phrase-based SMT

    mkdir corpus.tok
    cd corpus.tok

  • Tokenizing sentences in Korean
  • for file in train dev test; do
      cat ../corpus.org/${file}.ko.txt | \
        mecab -O wakati | \
        perl -Mencoding=utf8 -pe 's/ $//; tr/\|[]/|[]/; ' \
        > ${file}.ko
    done

    notice: mecab for Korean is different from mecab for Japanese.

  • 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

  • Cleaning training data for translation models
  • perl ${MOSES_SCRIPT}/training/clean-corpus-n.perl train ko ja train-clean 1 40

    cd ..

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    JST (Japan Science and Technology Agency)
    NICT (National Institute of Information and Communications Technology)
    Kyoto University
    Last Modified: 2017-07-21