A Principled Approach to Context-Aware Machine Translation
نویسنده
چکیده
This paper presents a new principled approach to context-aware machine translation. The proposed approach reformulates the posterior probability of a translation hypothesis given the source input by incorporating the source-context information as an additional conditioning variable. As a result, a new model component, which is referred to as the context-awareness model, is added into the original noisy channel framework. A specific computational implementation for the new model component is also described along with its main properties and limitations.
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