Syntactic processing in sight translation by professional and trainee interpreters
Professionals are more time-efficient while trainees view the source text less
The study examines how professional and trainee interpreters process syntax in sight translation. We asked 24 professionals and 15 trainees to sight translate sentences with subject-relative clauses and more difficult object-relative clauses while measuring translation accuracy, eye movements and translation durations. We found that trainees took longer to achieve similar translation accuracy as professionals and viewed the source text less than professionals to avoid interference, especially when reading more difficult object-relative sentences. Syntactic manipulation modulated translation and viewing times: participants took longer to translate object-relative sentences but viewed them less in order to avoid interference in target language reformulations. To the best of our knowledge, this is the first study to show that reading measures in sight translation should be analysed together with translation times to explain complex reading patterns. It also proposes a new measure, percentage of dwell time, as an index of interference avoidance.
Keywords: sight translation, interpreter, interpreting trainee, eye-tracking, syntactic processing
Published online: 28 May 2019
Andrews, Glenda, Damian Birney, and Graeme S. Halford
Barr, Dale J., Roger Levy, Christoph Scheepers, and Harry J. Tily
Bates, Douglas, Reinhold Kliegl, Shravan Vasishth, and Harald Baayen
2015 “Parsimonious Mixed Models.” Arxiv Preprint. https://arxiv.org/abs/1506.04967
Caplan, David, Sujith Vijayan, Gina Kuperberg, Caroline West, Gloria Waters, Doug Greve, and Anders M. Dale
Caplan, David, and Gloria Waters
Chmiel, Agnieszka, Przemysław Janikowski, and Anna Cieślewicz
Forthcoming. “The Eye or the Ear? Source Language Interference in Sight Translation and Simultaneous Interpreting.” Interpreting. International Journal of Research and Practice in Interpreting.
Chmiel, Agnieszka, and Iwona Mazur
Díaz-Galaz, Stephanie, Presentacion Padilla, and María Teresa Bajo
Dragsted, Barbara, and Inge G. Hansen
Garcia, Adolfo M., Augustin Ibanez, David Huepe, Alexander L. Houck, Maëva Michon, Carlos G. Lezama, Sumeer Chadha, and Alvaro Rivera-Rei
Gernsbacher, Morton A., and Miriam Shlesinger
Jakobsen, Arnt L., and Kristian Jensen
King, Jonathan, and Marcel Adam Just
Lemhöfer, Kristin, and Mirjam Broersma
Liu, Minhua, Diane L. Schallert, and Patrick J. Carroll
Liversedge, Simon P., Kevin B. Paterson, and Martin J. Pickering
Macizo, Pedro, and Maria T. Bajo
Maier, Robert M., Martin J. Pickering, and Robert J. Hartsuiker
R: A Language and Environment For Statistical Computing
R Foundation for Statistical Computing, Vienna.
Reichle, Erik D., Simon P. Liversedge, Alexander Pollatsek, and Keith Rayner
Ruiz, Carmen, Natalia Paredes, Pedro Macizo, and Maria Teresa Bajo
Seeber, Kilian G.
Seeber, Kilian G., and Dirk Kerzel
Setton, Robin, and Manuela Motta
Shreve, Gregory M., Isabel Lacruz, and Erik Angelone
SR Research Experiment Builder 1.10.165 [Computer Software]
Timarová, Šárka, Ivana Čeňková, and Reine Meylaerts
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Abdel Latif, Muhammad M. M.
Ma, Xingcheng, Dechao Li & Yu-Yin Hsu
Seeber, Kilian G., Laura Keller & Alexis Hervais-Adelman
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