This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
For natural translations, a human being does not express predicates that are inferable from the context in a target language. This paper proposes a method of machine translation w...
This paper proposes a novel lexicalized approach for rule selection for syntax-based statistical machine translation (SMT). We build maximum entropy (MaxEnt) models which combine ...
This paper describes the framework of the StatCan Daily Translation Extraction System (SDTES), a computer system that maps and compares webbased translation texts of Statistics Can...
We report results of experiments aimed at improving the translation quality by incorporating the cognate information into translation models. The results confirm that the cognate...