Chapter published in:
Translation in Transition: Between cognition, computing and technology
Edited by Arnt Lykke Jakobsen and Bartolomé Mesa-Lao
[Benjamins Translation Library 133] 2017
► pp. 208234
References

References

Berman, Antoine
1995Pour une critique des traductions: John Donne. Paris: Gallimard.Google Scholar
Bowker, Lynne, and Melissa Ehgoetz
2007 “Exploring User Acceptance of Machine Translation Output: A Recipient Evaluation.” In Across Boundaries: International Perspectives on Translation Studies, ed. by Dorothy Kenny, and Kyongjoo Ryou, 209–224. Cambridge: Cambridge Scholars Publishing.Google Scholar
Callison-Burch, Chris, Cameron Fordyce, Philipp Koehn, Christof Monz, and Josh Schroeder
2007 “(Meta-) evaluation of machine translation.” In Second Workshop on Statistical Machine Translation, Proceedings, ed. by the Association for Computational Linguistics, 136–158. Prague: Czech Republic. CrossrefGoogle Scholar
Chall, Jeanne S., and Edgar Dale
2000Readability revisited: The new Dale-Chall Readability Formula. Brookline Books, US.Google Scholar
Daems, Joke, Lieve Macken, and Sonia Vandepitte
2013 “Quality as the sum of its parts: A two-step approach for the identification of translation problems and translation quality assessment for HT and MT+PE.” In MT Summit XIV Workshop on Post-editing Technology and Practice, Proceedings, ed. by Sharon O’Brien, Michel Simard, and Lucia Specia, 63–71. European Association for Machine Translation.Google Scholar
Doherty, Stephen, and Sharon O’Brien
2014 “Assessing the Usability of Raw Machine Translated Output: A User-Centered Study Using Eye Tracking.” International Journal of Human-Computer Interaction 30 (1): 40–51. CrossrefGoogle Scholar
Dragsted, Barbara, Inger M. Mees, and Inge Gorm Hansen
2011 “Speaking your translation: students’ first encounter with speech recognition technology.” The International Journal for Translation & Interpreting Research 3 (1): 1–43.Google Scholar
François, Thomas, Laëtitia Brouwers, Hubert Naets, and Cédrick Fairon
2014 “AMESURE: une plateforme de lisibilité pour les textes administratifs.” In 21ème Traitement Automatique des Langues Naturelles.Google Scholar
Gouadec, Daniel
1981 “Paramètres de l’évaluation des traductions.” Meta 26 (2): 99–116. CrossrefGoogle Scholar
1989 “Comprendre, évaluer, prévenir.” TTR 2 (2): 35–54. CrossrefGoogle Scholar
Kincaid, J. Peter, Robert P. Fishburne, Jr., Richard L. Rogers, and Brad S. Chissom
1975 “Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel.” Research Branch Report 8–75, Millington, TN: Naval Technical Training, U. S. Naval Air Station, Memphis, TN.Google Scholar
Koehn, Philipp, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondřej Bojar, Alexandra Constantin, and Evan Herbst
2007 “Moses: Open Source Toolkit for Statistical Machine Translation.” In Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ed. by the Association for Computational Linguistics, 177–180.Google Scholar
Nord, Christiane
1997Translating As A Purposeful Activity: Functionalist Approaches Explained. Manchester: St. Jerome.Google Scholar
O'Brien, Sharon
2012 “Towards a Dynamic Quality Evaluation Model for Translation.” Journal Of Specialised Translation 17: 55–77.Google Scholar
Reiss, Katharina
1981 “Type, Kind and Individuality of Text: Decision Making in Translation”, translated by Susan Kitron. Poetics Today 2 (4): 121–131. CrossrefGoogle Scholar
Roux, Franck-Emmanuel, Jean-Baptiste Durand, Emilie Réhault, Samuel Planton, Louisa Draper, and Jean-François Démonet
2013 “The neural basis for writing from dictation in the temporoparietal cortex.” Cortex 50: 64–75. CrossrefGoogle Scholar
Toudic, Daniel, Katell Hernandez Morin, Fabienne Moreau, Franck Barbin, and Gaëlle Phuez-Fabris
2014 “Du contexte didactique aux pratiques professionnelles: proposition d’une grille multicritères pour l’évaluation de la qualité en traduction spécialisée.” ILCEA 19.Google Scholar
Toudic, Daniel, Katell Hernandez Morin, and Fabienne Moreau
2016. “Impact de deux approches technologiques sur un panel d’apprentis traducteurs: aide ou obstacle sur le chemin du sens?” In Actes du colloque Tralogy II - Anticiper les technologies pour la traduction. http://​lodel​.irevues​.inist​.fr​/tralogy​/index​.php​?id​=247.
Toury, Gideon
1995Translation Studies and Beyond. Amsterdam: Benjamins. CrossrefGoogle Scholar
Vermeer, Hans J.
1979 “Vom ‘richtigen’ Übersetzen.” Mitteilungsblatt für Dolmetscher und Ubersetzer 25 (4): 2–8.Google Scholar
Williams, Malcolm
2004Translation Quality Assessment: An Argumentation-Centred Approach (Perspectives on Translation series). Ottawa: University of Ottawa Press.Google Scholar
Zapata Rojas, Julián
2012Traduction dictée interactive: intégrer la reconnaissance vocale à l’enseignement et à la pratique de la traduction professionnelle. Thèse de doctorat non publiée. Ottawa: Université d’Ottawa.Google Scholar