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010   $a3-96110-333-X
024 8 $ahttps://doi.org/10.5281/zenodo.5646896
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035   $a(ScCtBLL)9251677a-fc73-4f7d-bcd9-35a068bb8f6c
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101 0 $aeng
135   $auru||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 02$aA short guide to post-editing$fJean Nitzke, Silvia Hansen-Schirra$hVolume 16
210  1$a[s.l.] :$cLanguage Science Press,$d2021.
215   $a1 online resource (106 p.)
225 1 $aTranslation and Multilingual Natural Language Processing
330   $aArtificial intelligence is changing and will continue to change the world we live in. These changes are also influencing the translation market. Machine translation (MT) systems automatically transfer one language to another within seconds. However, MT systems are very often still not capable of producing perfect translations. To achieve high quality translations, the MT output first has to be corrected by a professional translator. This procedure is called post-editing (PE). PE has become an established task on the professional translation market. The aim of this text book is to provide basic knowledge about the most relevant topics in professional PE. The text book comprises ten chapters on both theoretical and practical aspects including topics like MT approaches and development, guidelines, integration into CAT tools, risks in PE, data security, practical decisions in the PE process, competences for PE, and new job profiles.
410   $aTranslation and Multilingual Natural Language Processing
606   $aLanguage Arts & Disciplines / Linguistics$2bisacsh
606   $aLanguage arts
615  7$aLanguage Arts & Disciplines / Linguistics
615  0$aLanguage arts
700   $aNitzke$b Jean$0871414
702   $aHansen-Schirra$b Silvia
801  0$bScCtBLL
801  1$bScCtBLL
906   $aBOOK
912   $a9910645961303321
996   $aA short guide to post-editing$93007396
997   $aUNINA