Research on approaches of syntactic reordering for statistical machine translation
Yuan Qi · Computer Engineering and Applications Journal · 2009
To resolve the problem of the lack of capacity for the reordering in Phrase-Based Statistical Machine Translation(PBSMT),this paper attempts to parse the input Chinese sentences to PBSMT,conduct the reordering of the sentences by a converter,pre-translate some types of phrases,and then translate the output from the above operation by a decoder.This paper focuses on the effects of the reordering for complex attributes linked by de,and the effects of the reordering and pre-translation of prepositional phrases,specific collocation phrases and phrases of noun of locality.Experimental results show that the reordering and pre-translation can significantly improve the BLEU values of the English translation by PBSMT.