In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...
We present a novel translation model based on tree-to-string alignment template (TAT) which describes the alignment between a source parse tree and a target string. A TAT is capab...
When building rule-based machine translation systems, a considerable human effort is needed to code the transfer rules that are able to translate source-language sentences into gra...
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...