A Similarity Measure Method of Chinese Sentence Structures
Zheru Chi · Zhongwen xinxi xuebao · 2005
Example-based machine translation(EBMT)is an important branch of machine translation that has been studied extensively for about twenty years.So far,some progresses have been gained because of researchers' hard work.Sentence similarity measure certainly is one of the most important problems addressed in EBMT.For EBMT from Chinese to English,the performance of similarity measure of Chinese sentences affects directly final translation result of an input sentence.In this paper,we proposed a similarity measure method of Chinese sentence structures for example-based Chinese to English machine translation.In this method,the algorithm performs the optimal matching between the word type sequences of two compared sentences.The preliminary experimental results show that the measure method works well when it is tested on a small dataset.