System Description of NiCT-ATR SMT for NTCIR-7
Keiji Yasuda, Andrew Finch, Hideo Okuma, Masao Utiyama, Hirofumi Yamamoto, Eiichiro Sumita · 2008
In this paper we propose a method to improve SMT based patent translatioin. This method first em-ploys International Patent Classification to build class based models. Then, multiple models are interpo-lated by weighting method employing source side lan-guage models. We carried out experiments using data from the patent translation task of NTCIR-7 work-shop. According to the experimental results, the pro-posed method improved the most of automatic scores, which were NIST, WER and PER. Experimental results also shows BLUE score degradation in the proposed method. However, statistical tests by bootstrapping does not show significance for the degradation.