ABSTRACT
Pragmatics-based machine translation relies on reasoning to determine speech act content and on belief ascription for modeling the participants in the translation process (source text author and audience, translator, intended audience of translation). The theoretical framework and computational platform are presented along with an analysis of their benefits and shortcomings.
