The ICT 's Patent MT System Description for NTCIR-9
Hao Xiong, Linfeng Song, Fandong Meng, Yajuan Lü, Qun Liu · NTCIR · 2011
This paper introduces the ICT’s system for Patent Machine Translation at the NTCIR-9 Workshop. In this year’s program, we participate all the three subtasks: ChineseEnglish, English-Japanese and Japanese-English. We submit six translation results for each subtask generated by an in-house implemented hierarchical phrase-based system (HPB) with four different variants, a widely used open source system (Moses) as well as a combinational system (SCM), respectively. We employ general translation model and concentrate on developing refined preprocessing and postprocessing techniques for patent translation. Besides that, we attempt to improve the quality of patent translation by chemical expression substitution, incorporating manually written templates, domain adaption and reranking, etc. Experimental results show that our small techniques achieve improvement over baseline, however, compared to other participants, our result is not excellent.