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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
Vottonen, Erja; Kujamäki, Minna – Interpreter and Translator Trainer, 2021
This paper reports on an empirical experiment in which a group of MA student translators justified their translation solutions. The aim of the work was to determine to what extent students rely on their theoretical knowledge of translation in their justifications and use the metalanguage of the field. The data consists of transcribed…
Descriptors: Translation, Masters Programs, Graduate Students, Metalinguistics
Xu, Yi – Interpreter and Translator Trainer, 2023
The research on interpreting aptitude has focused on the abilities, skills and personal traits of individuals in order to predict their future interpreting performance. However, an important variable between the personal characteristics and success of trainee interpreters in interpreter training, which is instructional practices, is overlooked.…
Descriptors: Prediction, Language Aptitude, Feedback (Response), Short Term Memory
Wu, Yinyin; Liao, Posen – Interpreter and Translator Trainer, 2018
Despite a cognitive disadvantage when interpreting into one's B language, strategy use and awareness of norms allow interpreters to be resourceful and efficient in achieving communicative goals. There is a need to incorporate strategy training in interpreter education, especially when teaching into-B interpreting. However, strategy taxonomies…
Descriptors: Teaching Methods, Translation, Language Processing, Second Languages