Statistical Japanese Names Recognition and Translation

This paper implements a system of Japanese names recognition and translation by using statistical ways.In this paper,names recognition problem is transformed to the task of labeling sequential data and the Conditional Random Field way is used to train recognition model.A seven tags label strategy is designed to distinguish the name in article when labeling corpus data;the feature template is built basing on the Japanese context and title for names.In the part of translation Japanese names,Japanese names is seperated to two types,Kana names and names.A Kanji name translation dictionaryis built to translating the Japanese names to Chinese character;and Moses machine translation system is used to deal with the kana names.Japanese names recognition and translation model both have preferably results on the test sets.