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User-Friendly Machine Translation: Alternate Translations Based on Differing Beliefs

In this paper the authors present a notion of “user-friendly” translation and describe a method for achieving it within a pragmatics-based approach to machine translation. The approach relies on modeling the beliefs of the participants in the translation process: the source language speaker and addressee, the translator and the target language addressee. Translation choices may vary according to how beliefs are ascribed to the various participants and, in particular, “user-friendly” choices are based on the beliefs ascribed to the TL addressee.