2 results about "Training phase" patented technology

The invention discloses an online translation model selection method for statistical machine translation, which includes two stages of training and translation. The training stage includes: collecting bilingual parallel corpora, and dividing the bilingual parallel corpus into different sub-corpora according to types; The corpus trains the candidate translation model; builds an index for the sub-corpus, and obtains the corpus index file; the translation stage includes: inputting the text to be translated, and retrieving sentences similar to the sentences in the text to be translated from the corpus index file; The candidate translation model corresponding to the sub-corpus where the sentence is located, selects the final translation model from all the candidate translation models; translates the input text to be translated according to the final translation model, and obtains the final translation result. The invention well solves the problem that the statistical machine translation system cannot adapt to input texts in different fields, and can effectively improve the translation quality of the statistical machine translation system.