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Typy translatorów automatycznych w tłumaczeniu metafor

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Lingwistyka Stosowana / Applied Linguistics / Angewandte Linguistik
|
2017
|
issue 23
213-227
EN
The two main topics discussed in this article are machine translation systems and metaphorical constructions translated by such systems. I briefly present the history of machine translation, its evolution and types of the most widespread engines, taking into account their architecture. I describe rule-based, statistical and neural machine translation, taking Translatica PWN, Google Statistical and Google Neural Machine Translation systems respectively as examples. Having discussed the notion of metaphor, I finally analyse examples of metaphorical expressions and idioms translated by the described engines, compare the final outcome and present my conclusions.
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