Article published in:
Vol. 22:1 (2010) ► pp. 721


Allen, Jeff
2003 “Post-editing”. Harold Somers ed. Computers and Translation: A Translator’s Guide. Amsterdam-Philadelphia: John Benjamins. 297–317.  CrossrefGoogle Scholar
Bowker, Lynne, and Melissa Ehgoetz
2007 “Exploring User Acceptance of Machine Translation Output: A Recipient Evaluation”. Dorothy Kenny and Kyongjoo Ryou (eds.) Across Boundaries: International Perspectives on Translation. Newcastle-upon-Tyne: Cambridge Scholars Publishing. 209–224.Google Scholar
Champollion, Yves
2001 “Machine translation and the future of the translation industry”. Translation Journal 5:1.Google Scholar
De Palma, Donald A and Nataly Kelly
2008 “Translation of, for, and by the People”. Common Sense Advisory Report. http://​www​.commonsenseadvisory​.com​/research​/report​_view​.php​? id​=97​&cid​=0#Visited February2010.Google Scholar
Desilets, Alain, Lucas Gonzalez, Sebastien Paquet, Marta Stojanovic
2006 “Translation the Wiki Way.” WikiSym’06, August 21–23, Odense, Denmark. 19–31.Google Scholar
Dillinger, Mike, and Laurie Gerber
2009, January. “Success with Machine Translation. Automating Knowledge-base Translation, Part 1”. Clientside News. 10–11.Google Scholar
Fiederer, Rebecca, and Sharon O’Brien
2009 “Quality and Machine Translation: A realistic objective?” The Journal of Specialised Translation 11. 52–72.Google Scholar
Guerberof, Ana
2009Productivity and quality in the post-editing of outputs from translation memories and machine translation. Localisation Focus 7:1. 11–21.Google Scholar
Lopez, Adam
2008 “Statistical Machine Translation”. AMC Computing Surveys 40:3. 8:1–8:49.Google Scholar
O’Brien, Sharon
2006 “Eye-Tracking and Translation Memory Matches”. Perspectives: Studies in Translatology 14:3. 185–204.Google Scholar
Pym, Anthony
2009 “Using process studies in translator training: self-discovery through lousy experiments”. http://​www​.tinet​.cat​/~apym​/on​-line​/training​/2009​_lousy​_experiments​.pdf Visited February 2010.Google Scholar
SDL Research 2008 “Trends in automated translation in today’s global business”. White Paper. http://​www​.sdl​.com​/en​/globalization​-knowledge​-centre​/whitepapers/. Visited February 2010.Google Scholar
[ p. 21 ]
Zetzsche, Jost
2009July 24. The Tool Kit, 9-7-145. http://​www​.internationalwriters​.com​/toolkit. Visited February2010.Google Scholar
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