Abstract: A phrase-based statistics machine translation method includes for phrases in an input sentence, performing fuzzy matching in a pre-constructed phrase table. In the method, by performing fuzzy matching on the phrases, high quality translations can be generated for long phrases in the input sentence, thus the quality of the translation can be effectively increased with respect to the machine translation systems based on phrase exactly matching.

Abstract: The present invention provides a method and apparatus for training a target language word inflection (TLWI) model based on a bilingual corpus, a TLWI method and apparatus, and a translation method and system for translating a source language text into a target language translation. In the method for training a TLWI model based on a bilingual corpus, the bilingual corpus includes a plurality of aligned corpus pairs of source language and target language, the method comprises building an initial TLWI model, pre-processing the source language corpus and the target language corpus, extracting patterns containing TLWI information, based on the pre-processed source language corpus and the target language corpus, and training the TLWI model by using the patterns.