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Yang, Yanxia; Wei, Xiangqing; Li, Ping; Zhai, Xuesong – ReCALL, 2023
With the dramatic improvement in quality, machine translation has emerged as a tool widely adopted by language learners. Its use, however, has been a divisive issue in language education. We conducted an approximate replication of Lee (2020) about the impact of machine translation on EFL writing. This study used a mixed-methods approach with…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
Lee, Sangmin-Michelle – ReCALL, 2022
The use of machine translation (MT) in the academic context has increased in recent years. Hence, language teachers have found it difficult to ignore MT, which has led to some concerns. Among the concerns, its accuracy has become a major factor that shapes language teachers' pedagogical decision to use MT in their language classrooms. Despite the…
Descriptors: Translation, Grammar, Second Language Learning, Second Language Instruction
Frankenberg-Garcia, Ana – ReCALL, 2014
One of the many new features of English language learners' dictionaries derived from the technological developments that have taken place over recent decades is the presence of corpus-based examples to illustrate the use of words in context. However, empirical studies have generally not been able to produce conclusive evidence about their…
Descriptors: English (Second Language), Second Language Learning, Computational Linguistics, Dictionaries
Geluso, Joe; Yamaguchi, Atsumi – ReCALL, 2014
Corpus linguistics has established that language is highly patterned. The use of patterned language has been linked to processing advantages with respect to listening and reading, which has implications for perceptions of fluency. The last twenty years has seen an increase in the integration of corpus-based language learning, or data-driven…
Descriptors: Second Language Learning, Second Language Instruction, Computational Linguistics, Language Processing