Maschinelle, posteditierte und menschliche Übersetzung publizistischer und populärwissenschaftlicher Texte aus dem Slowakischen ins Deutsche

Abstract

Abstract Machine translation from small into big languages, in our case a transfer from Slovak into German, has not yet undergone thorough research. Our goal is an analysis and comparison of machine translation (MT) and post-edited machine translation (PEMT) errors with human translation (HT) as well as detecting the efficiency rate of post-editing within that mentioned comparison. Hereby we apply a method of automatic and manual metrics by percentages and evaluation numbers. Results indicate that post-editing is more efficient which however does not mean that human translation has a lower quality. A higher degree of freedom of HT allows for more creative solutions contrasting with post-edited MT in the results.