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Machine Translation and Culture-Bound Texts in Translator Education: A Pilot Study
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Loboda, Krzysztof; Mastela, Olga – Interpreter and Translator Trainer, 2023
Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…
Descriptors: Computer Software, Computational Linguistics, Polish, Folk Culture
Translator Education as a Collaborative Quest for Insights into the Re-Positioning of the Human Translator (Educator) in the Age of Machine Translation: the Results of a Learning Experiment
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Öner Bulut, Senem; Alimen, Nilüfer – Interpreter and Translator Trainer, 2023
Motivated by the urgent need to investigate the possibilities for re-positioning the human translator and his/her educator in the machine translation (MT) age, this article explores the dynamics of the human-machine dance in the translation classroom. The article discusses the results of a collaborative learning experiment which was conducted in…
Descriptors: Translation, Teaching Methods, Self Efficacy, Second Languages
Predicting Student Translators' Performance in Machine Translation Post-Editing: Interplay of Self-Regulation, Critical Thinking, and Motivation
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Yang, Yanxia; Wang, Xiangling – Interactive Learning Environments, 2023
Machine translation post-editing (MTPE) has become a common practice in translation industry, which calls much attention in academia. However, little research has been carried out to investigate students' cognitive and motivational individual differences in MTPE. The purpose of the present study was to examine the predictive effects of…
Descriptors: Translation, Computational Linguistics, Second Languages, Language Usage
An Integrated Curricular Design for Computer-Assisted Translation Tools: Developing Technical Expertise
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Rodríguez-Castro, Mónica – Interpreter and Translator Trainer, 2018
Increasing project complexity and a high level of specialization in the language industry have resulted in a demand for translation professionals with sophisticated technical skills. This has made computer-assisted translation (CAT) tools indispensable for translators in order to meet project requirements. With a rapidly changing industry…
Descriptors: Translation, Computational Linguistics, Outcomes of Education, Teaching Methods
What to Expect from Neural Machine Translation: A Practical In-Class Translation Evaluation Exercise
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Moorkens, Joss – Interpreter and Translator Trainer, 2018
Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…
Descriptors: Translation, Teaching Methods, Computational Linguistics, Quality Assurance
Machine Translation Technology: A Potential Key to the Information Age. Report of the FCCSET Committee on Industry and Technology.
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Office of Science and Technology Policy, Washington, DC. – 1993
Machine translation (MT), an emerging technology that enables text to be translated from one language to another by computer, represents an indispensable contribution to the sharing of technical information particularly since nearly half of the world's scientific and technological literature is written in languages other than English. The state of…
Descriptors: Annotated Bibliographies, Automation, Computer Oriented Programs, Computer Software