Modelling Human Translation with a Noisy Channel
Human translation is modelled on the basis of a noisy channel, as commonly done in machine translation. The two main objectives of translation, source language fidelity and target language conformity, are modelled probabilistically.
Different modes (interpreting, translation) and levels of expertise (learner, professional) are considered. The data set we use are translations of speeches from the EU Parliament which are compiled into a corpus. Computational translation models are built, which provide the basis for several studies on translationese, translation adequacy as well as translation complexity.
Keywords: human translation
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