This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This ...
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
This paper describes the application of a suite of innovative information processing and analytic support tools developed at The MITRE Corporation, in some cases as extensions of ...
A computationally relevant theory of lexical semantics must take into consideration both the form and the content of three different static knowledge sources -- the lexicon, the o...
Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework....