NTT's RIBES.py version 1.01
http://www.kecl.ntt.co.jp/icl/lirg/ribes/index.html
For EJ subtask
perl module Lingua::JA::Regular::Unicode version 0.05
Mecab: version 0.98
http://sourceforge.net/projects/mecab/files/
Dictionary for Mecab: mecab-ipadic-2.7.0-20070801.tar.gz
http://sourceforge.net/projects/mecab/files/mecab-ipadic/
nkf: version 2.1.1
http://sourceforge.jp/projects/nkf/downloads/48945/nkf-2.1.1.tar.gz/
For CE and JE subtasks
We used "mteval-v13a.pl" for tokenization and calculation of the BLEU and NIST scores.
We used the "mteval-v13a.pl" tokenization function for tokenization, and "RIBES.py" for calculation of the RIBES score.
The scores are case sensitive. The default parameters of the tools, except for case sensitivity, were used.
For EJ subtask
We used the following procedure of standardization and tokenization, and used "mteval-v13a.pl" for the BLEU and NIST scores, and "RIBES.py" for the RIBES score. The default parameters of the tools were used.
Procedure of standardization and tokenization for Japanese sentences