Research on Chinese-Uyghur Phrase Pairs Extraction in Statistical Machine Translation
Ren Gao-ju · Shinjang dashösi ilmiy jurnili · 2010
Bilingual phrases pairs extraction is a key step that training phrase translation model in the phrase-based statistical machine translation,however,due to the limited size of bilingual parallel corpora,the sparse data problem is very serious.Improved approach of phrases extraction was proposed,firstly this algorithm considers a Chinese word to multi-Uyghur words (including nonconsecutive),and it also extracts phrases pairs using Och’s method,in the end we extracts phrases considering SOV sentence structure in Uyghur.Experiments show that the algorithm can extract bilingual phrases translation pairs accurately at the same time extract phrases as much as possible.So it improves the quality of the translation model.