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Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Chung, Eun Seon; Ahn, Soojin – Computer Assisted Language Learning, 2022
Many studies that have investigated the educational value of online machine translation (MT) in second language (L2) writing generally report significant improvements after MT use, but no study as of yet has comprehensively analyzed the effectiveness of MT use in terms of various measures in syntactic complexity, accuracy, lexical complexity, and…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2020
Although it remains controversial, machine translation (MT) has gained popularity both inside and outside of the classroom. Despite the growing number of students using MT, little is known about its use as a pedagogical tool in the EFL classroom. The present study investigated the role of MT as a CALL tool in EFL writing. Most studies on MT as a…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2017
This study reports on investigating students' English translation performance and their use of reading strategies in an elective English writing course offered to senior students of English as a Foreign Language for 100 minutes per week for 12 weeks. A courseware-implemented instruction combined with a task-based learning approach was adopted.…
Descriptors: Foreign Countries, College Students, Technical Institutes, Second Language Learning
Chen, I-Jung – Computer Assisted Language Learning, 2016
This study compared how three different gloss modes affected college students' L2 reading comprehension and vocabulary acquisition. The study also compared how results on comprehension and vocabulary acquisition may differ depending on the four assessment methods used. A between-subjects design was employed with three groups of Mandarin-speaking…
Descriptors: Reading Comprehension, Multivariate Analysis, Scores, Multiple Choice Tests
Bower, Jack Victor; Rutson-Griffiths, Arthur – Computer Assisted Language Learning, 2016
A strong relationship between L2 vocabulary knowledge and L2 reading and listening comprehension is well established. However, less research has been conducted to explore correlations between pedagogic interventions to increase vocabulary knowledge and score gains on standardized L2 proficiency tests. This study addresses this gap in the research…
Descriptors: Correlation, Computer Software, Scores, Language Tests