شماره ركورد :
43624
عنوان مقاله :
Cohesive Features in Automatic Translation of Medical Texts
پديد آورندگان :
benhamlaoui, meriem badji mokhtar university annaba, Algeria , hamada, hacene badji mokhtar university annaba, Algeria
از صفحه :
301
تا صفحه :
320
چكيده فارسي :
Medical texts are as particular as the contexts they occur in. Characterized by the limitation of their vocabulary, automatic translation of such texts is generally correct due to the repetition of their already translated corpora. However, machine translation is still dependent on human revision and assistance while it comes to coherence and cohesive aspects. In this paper, some light will be shed on the lack of correct cohesive devices on Google translation between English and French especially in the medical domain.
كليدواژه :
Automatic translation , coherence , cohesive device , Google translate , medical texts.
عنوان نشريه :
التواصل
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