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Identifying preschool measures most predictive of language outcomes at 11 years in the Early Language in Victoria Study ...
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Intoxication and pitch control in tonal and non-tonal language speakers ...
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Photographie de l’inscription « Subrito dôron » découverte au Cailar (Gard) ...
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Réjane Roure. - : NAKALA - https://nakala.fr (Huma-Num - CNRS), 2022
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Viewing angle in novice L2 lexical learning in British Sign Language (BSL) ...
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Neurodidactics of Languages: Neuromyths in Multilingual Learners
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In: Mathematics; Volume 10; Issue 2; Pages: 196 (2022)
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Language learning through interaction: Online and in the classroom
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In: The Coastal Review: An Online Peer-reviewed Journal (2022)
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How do L2 student moderators facilitate a peer-led discussion forum?
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Exploration of secondary EFL teachers' and students' perceptions of extensive reading in English and its implementation in Chinese secondary schools: a longitudinal case study
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Training in machine translation post-editing for foreign language students
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Zhang, Hong; Torres-Hostench, Olga. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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Abstract:
The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine Translation (MT) raw output: Accuracy, Word Order, Official Name, Preposition, Omission, and Formal Style. The training materials include three levels of difficulty: Initial - ability to spot a mistake, Intermediate - ability to classify the type of mistake, and Advanced - ability to correct the mistake. A pretest-posttest design with a control group and a trained experimental group was chosen to test the effectiveness of the training programme. In the posttest, the experimental group could identify and correct more mistakes successfully. and in less time than the control group, especially for omission, official name and preposition. Accuracy, formal style, and word order errors were more difficult to correct. Results suggest that specific MTPE training is not only useful to identify and correct MT mistakes but also a way to incorporate a critical view on machine translation in FL classes.
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Keyword:
Computer-Assisted Language Learning; Foreign Language Learning; Machine Translation; Second Language Acquisition
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URL: http://hdl.handle.net/10125/73466
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Developing and implementing an English-Spanish literary parallel audio-textual corpus for data-driven ESL learning
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In: DELTA: Documentação e Estudos em Linguística Teórica e Aplicada; v. 37 n. 1 (2021) ; 1678-460X ; 0102-4450 (2022)
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Student Centered Language Teaching: A Focus on Student Identity
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In: All Graduate Plan B and other Reports (2022)
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In-Game Social Interactions to Facilitate ESL Students' Morphological Awareness, Language and Literacy Skills
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In: Computer Science Faculty Publications and Presentations (2021)
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The L2L system for second language learning using visualised zoom calls among students
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0003-4395-7702 , Pradier, Vincent orcid:0000-0002-7050-6408 , Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) The L2L system for second language learning using visualised zoom calls among students. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4 (2021)
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