Translator Google wie najlepiej… Czy na pewno? O rozwoju i jakości tłumaczenia maszynowego

Karolina Puchała-Ladzińska

doi:10.12797/MOaP.23.2017.37.07

Authors

Karolina Puchała-Ladzińska Uniwersytet Rzeszowski https://orcid.org/0000-0002-2555-8997

DOI:

https://doi.org/10.12797/MOaP.23.2017.37.07

Keywords:

machine translation, Google Translate, hypothesis of strong artificial intelligence

Abstract

Google Translate Knows Best… or Does It? On the Development and Quality of Machine Translation
The article concerns the problem of machine translation, discussing both its advantages and drawbacks. The author’s main purpose is to put the popular online translator, Google Translate, to the test by means of various text types. Google translations are then analyzed and compared to their source texts. This will allow one to specify with which text types Google can cope considerably well, and which it cannot handle at a satisfactory level. The analysis will also shed some light on the future role of human translators.

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