Machine Translation and Its Role in Professional Translation - Lugos

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+ New model of user-defined quality Traditional: translation copyediting proof 60% 25% 15% Scalable: MT post-editing proof X % Y %
+ Post-editing MT n ...yes, there is an abbreviation: PEMT n MT is regularly used in localization projects where no TM match is found. n 2006: O’Brien establishes a correlation between MT and TM segments in the 80-90 fuzzy match range. n Dangerous! Many IPMs still use this rate to pay for PE. n Translators generally resent doing it.... n .....but do it more and more often.
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: + The long tail of languages on the
Page 29 and 30: + Post-editing MT: TM vs MT n Inter
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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