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Showing 61 - 70 results of 72 for Xu

Charting Thai university students' group translation on Google Docs through DocuViz
...Xu, B. (Eds.). (2019). Restructuring translation education: Implications from China for the rest of the world. Springer. https://doi.org/10.1007/978-981-13-3167- 1 Zhang, M. (2019). Towards a quanti...

by Nakhon Kitjaroonchai, Daron Benjamin Loo, Tantip Kitjaroonchai
in Volume 27 Number 1, 2023

Exposure to L2 online text on lexical and reading growth
...Xu, J., Liu, J. M., Li, M., & Shu, H. (2018). Different measures of print exposure predict different aspects of vocabulary. Reading Research Quarterly, 53(4), 443–454. Appendix. Website Recognitio...

by Ngo Cong-lem, Sy-Ying Lee
in Volume 24 Number 3, October 2020

EFL students' self-directed learning of conversation skills with AI chatbots
...Xu, Q., Davis, G. M., Jiang, L., Brunskill, E., & Landay, J. A. (2019). Bookbuddy: Turning digital materials into interactive foreign language lessons through a voice chatbot. In Proceedings of the ...

by Sooyeon Kang, Min-Chang Sung
in Volume 28 Number 1, 2024

Second language processing of errors in Korean-to-English machine-translated output
...Xu, J., D’Haro, L. F., & Ney, H. (2006). Error analysis of statistical machine translation output. In C. Strapparava, A. Valitutti, & O. Stock (Eds.), Proceedings of the Fifth International Conferenc...

by Eun Seon Chung
in Volume 28 Number 1, 2024

Exploring AI-Generated text in student writing: How does AI help?
...Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), 1-38. https://doi.org/10.1145/3571730 Kangasha...

by David James Woo, Hengky Susanto, Chi Ho Yeung, Kai Guo, April Ka Yeng Fung
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning

A protocol for evaluating AI chatbots’ capabilities for low-resource language teachers
...Xue, M. J., Park, P. S., Blasi, D., & Henrich, J. (2023). Which humans? PsyArXiv. https://doi.org/10.31234/osf.io/5b26t Baack, S. (2024). A critical analysis of the largest source for generative ...

by Nicholas Swineheart, Phuong Nguyen, Ellen Yeh
in Volume 29 Number 1, 2025

Second language learners’ post-editing strategies for machine translation errors
...Xu, J., D’Haro, L. F., & Ney, H. (2006). Error analysis of machine translation output. In N. Calzolari, K. Choukri, A. Gangemi, B. Maegaard, J. Mariani, J. Odijk & D. Tapias (Eds.), Proceedings of t...

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

The effectiveness of Duolingo in developing receptive and productive language knowledge and proficiency
...Xu, W., & Sukjairungwattana, P. (2023). Motivation, learning strategies, and outcomes in mobile English language learning. The Asia-Pacific Education Researcher, 32, 545–560. https://doi.org/10.1007...

by Bryan Smith, Xiangying Jiang, Ryan Peters
in Volume 28 Number 1, 2024

A system for adaptive high-variability segmental perceptual training: Implementation, effectiveness, transfer
...Xu (Eds.), Towards adaptive CALL: Natural language processing for diagnostic language assessment (pp. 197–208). Ames, IA: Iowa State University. Levis, J., & Pickering, L. (2004). Teaching intonati...

by Manman Qian, Evgeny Chukharev-Hudilainen, John Levis
in Volume 22 Number 1, February 2018

Presence and agency in real and virtual spaces: The promise of extended reality for language learning
...Xu, H., & Hu, H. (2023). Restructuring multimodal corrective feedback through augmented reality (AR)-enabled videoconferencing in L2 pronunciation teaching. Language Learning & Technology, 27(3), 83...

by Robert Godwin-Jones
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning