Machine Translation and Its Role in Professional Translation - Lugos

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+ Post-editing MT: Productivity gain n In most studies, PEMT outperforms translating from scratch (productivity gains from 42 to 131%). n For some language-pairs, PEMT outperforms fuzzy matches. Source: MT at Autodesk, http://translate.autodesk.com
+ Post-editing MT: TM vs MT n Interesting study by Guerberof, A. (2009)... n Comparing productivity and quality on a group of 8 professional translators, giving them New, TM and MT segments to translate n Results: n Translators have higher productivity and quality when using machine-translated output than when processing fuzzy matches from TMs. n -> possible explanation: if the text is running smoothly, translators overlook terminology inconsistencies etc. and do not consult the original as often as they should.
Page 1 and 2: + Machine Translation and Its Role
Page 3 and 4: + Myths about MT 1. MT does not wor
Page 5 and 6: + Myths about MT 5. Only an MT syst
Page 7 and 8: + Rule-based approaches & level of
Page 9 and 10: + Sources of translation errors n L
Page 11 and 12: + Syntactic-semantic transformation
Page 13 and 14: + Do we need rules? n Children lear
Page 15 and 16: + Language Modeling " A language mo
Page 17 and 18: + Statistical Machine Translation:
Page 19 and 20: + 100% 90% analytic 80% 70% inflect
Page 21 and 22: + Human evaluation n Human: n Vario
Page 23 and 24: + MT and professional translation W
Page 25 and 26: + The long tail of languages on the
Page 27: + Post-editing MT n ...yes, there i
Page 31 and 32: + MT and Professional Translation n
Page 33 and 34: + MT and Professional Translation n
Page 35: + References n Weiss, Isabelle, 201

Machine Translation and Its Role in Professional Translation - Lugos

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