Abstract: This paper proposes a rules-based method for recognizing and transforming the complex Noun Phrases to improve the translation quality of them in patent machine translation.By analyzing the semantic chunks and the structural units of Chinese and English complex Noun Phrases,under the guide of the boundary perception,this paper extracts the feature words,builds 57 re-cognition rules,designs combination strategies and realizes the formalization of Chinese complex Noun Phrases.By comparing Chinese and English complex Noun Phrases,this paper summarizes the differences between them,and determines the transformation strategies based on that.At last,it applies the method to an existing machine translation system to test our work.Experimental results show that our rules and strategy are very efficient,and improve the translation quality in patent machine translation.

Key words: Boundary perception, Machine translation, Noun phrase, Patent, Recognize, Rules, Transform