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Tsai, Pei-Shu – SAGE Open, 2023
Translation of scientific texts has been regarded as having the least freedom and variety in rendition; however, inconsistencies occur when translators work with two language systems that differ in reference to time, such as between Chinese and English. Tense is one of the core components of English grammar, but such information is not apparent in…
Descriptors: Error Analysis (Language), Morphemes, English (Second Language), Second Language Learning
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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
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Eun Seon Chung – Language Learning & Technology, 2024
While previous investigations on online machine translation (MT) in language learning have analyzed how second language (L2) learners use and post-edit MT output, no study as of yet has investigated how the learners process MT errors and what factors affect this process using response and reading times. The present study thus investigates L2…
Descriptors: English (Second Language), Korean, Language Processing, Translation
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Dubeda, Tomáš; Obdržálková, Vanda – Interpreter and Translator Trainer, 2021
We examine the stylistic aspects of L2 translations using a set of quantifiable descriptors. The sample includes 40 translations of a promotional text from Czech into English and French produced by novices and professional translators. The general stylistic competence is slightly higher in the group of professionals, although the overall quality…
Descriptors: Translation, Language Styles, Language Processing, Second Languages