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Ghulam Abbas; Naureen Nazar; Zhirun Huang; Zhanhao Jiang – Asia-Pacific Education Researcher, 2025
This study compares the grammatical errors (GEs) made by non-English major undergraduate students from China and Pakistan, aiming to identify common and distinct types of error and to explore potential reasons behind them. By focusing on these two linguistically and culturally distinct groups, this research seeks to enhance understanding of…
Descriptors: Foreign Countries, Computer Assisted Instruction, Error Patterns, Error Analysis (Language)
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Qin, Ying – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types…
Descriptors: Taxonomy, Translation, Computer Assisted Instruction, Second Language Learning
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Chen, Zhenzhen; Chen, Weichao; Jia, Jiyou; Le, Huixiao – Language Learning & Technology, 2022
Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…
Descriptors: Writing Instruction, Writing Processes, Teaching Methods, Learning Strategies