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Showing 621 - 630 results of 702 for Natural Language Processing

Effects of mobile-assisted language learning on foreign language learners’ speaking skill development
...language; LT = language types; FL = foreign language; L2 = second language; TL = target language; EL = educational levels; N = number of sample sizes; E/C = number of experimental group/number of con...

by Rui Li
in Volume 28 Number 1, 2024

Social media as an e-portfolio platform: Effects on L2 learners’ speaking performance
...language and Chinese as their native language. As such, they used Chinese as their primary language at home and of instruction in subjects other than the English courses. None of them had lived or s...

by Yan Zheng, Jessie S. Barrot
in Volume 26 Number 1, 2022

‘Successful’ participation in intercultural exchange: Tensions in American-Japanese telecollaboration
...languages are taught, learned, and used. Language teachers are now faced with more complex needs from diverse language learners (Kramsch, 2014). Along with expanded global networks and increased mob...

by Tomoe Nishio, Masanobu Nakatsugawa
in Volume 24 Number 1, February 2020

Textual, genre and social features of spoken grammar: A corpus-based approach
...Language structure and language use (pp. 47-70). Amsterdam and New York: Rodopi. Biber, D. (2006). University language: A corpus-based study of spoken and written registers. Amsterdam and Philadelp...

by Carmen Pérez-Llantada
in Volume 13 Number 1, February 2009 Special Issue On Technology And Learning Grammar

Activate space rats! Fluency development in a mobile game-assisted environment
...language, to learn from error, and to see how the target language functions. Without producing output, language learners cannot practice language, nor can they automatize their language skills. Prod...

by Jennica Grimshaw, Walcir Cardoso
in Volume 22 Number 3, October 2018

Second language learners’ post-editing strategies for machine translation errors
...Language(s) Learned in This Study: English APA Citation: Shin, D., & Chon, Y. V. (2023). Second language learners’ post-editing strategies for machine translation errors. Language Learning & Technol...

by Dongkawang Shin, Yuah V. Chon
in Volume 27 Number 1, 2023

Exploring parallel concordancing in English and Chinese
...language and their own language (Rutherford, 1987). By comparing the contexts obtained for an item in one language, with the translations of the contexts in the other language, learners can see how th...

by Wang Lixun
in Volume 05 Number 3, September 2001 Special Issue Using Corpora in Language Teaching and Learning

Changing technologies, changing literacy communities?
...processing: The computer as a new writing space. Language & Communication, 9, 129-142. Denise E. Murray Changing Technologies, Changing Literacies Communities? Language Learning & Technology 5...

by Denise E. Murray
in Volume 04 Number 2, September 2000 Special Issue Literacies and Technologies

Attention and learning in L2 multimodality: A webcam-based eye-tracking study
...Language Learning at the University of Reading, UK. His research interests include technology-enhanced language learning, school-based language learning, multimodality, vocabulary, and language comp...

by Pengchong Zhang, Shi Zhang
in Volume 29 Number 1, 2025

Going to the MALL: Mobile Assisted Language Learning
...language is similar to the native language. More elaborate language learning software programs have also been developed for PDAs and the like. Garcia Cabrere (2002) evaluated a business Spanish c...

by George M. Chinnery
in Volume 10 Number 1, January 2006