Parallel processing of contemporary Chinese "V+N" sequence relations
Minxuan Feng · Computer Engineering and Applications Journal · 2010
At present,the Chinese text processing in English-Chinese parallel corpus,more confined to only use monolingual analysis results,without sufficient use bilingual resources.Structural relation of contemporary Chinese v+n sequence is regarded as the research object,and the parallel processing algorithm is designed for recognizing v+n structural relation in English-Chinese parallel corpus.At first,this paper utilizes various form single language resources to extract the restriction rules of verb and noun that having different structural relations.And then judges v+n structural relation type separately according to translation of Chinese noun and verb,and context template in parallel English text.The experiment proves,in PCCE1000 which having been word-segmented and POS-tagged,F value that using single language resources to process v+n is 72.14%,and further utilizing the Chinese-English dictionary and English translation information,F value has reached 88.81%,having improved by 16.67 percentage points.