This paper describes the POSTECH statistical machine translation (SMT) systems for the NTCIR-7 patent translation task. We entered two patent translation subtasks: Japanese-to-English (KLE-je), and English-toJapanese translation (KLE-ej). The baseline systems are derived from a common phrase-based SMT framework. In addition, for Japanese-to-English translation, we adopted two kinds of methods. The first method is a word reordering model for preprocessing that reorders the words in the source sentence similarly to the order of target sentence before the decoding phase. The second is a cluster based model using syntactic information of Japanese sentences.
['Jin-Ji Li', 'Han-Kyong Kim', 'Chang-Hu Jin', 'Jong-Hyeok Lee']
The POSTECH Statistical Machine Translation Systems for NTCIR-7 Patent Translation Task