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Rudy Loock; Benjamin Holt – Technology in Language Teaching & Learning, 2024
At a time when language trainers need to determine how best to integrate new digital tools that provide students with linguistic information, our aim in this article is to assess the potential value of information provided by two types of tools now widely used by students: machine translation via online translators and state-of-the-art generative…
Descriptors: Artificial Intelligence, Teaching Methods, Translation, Computer Assisted Instruction
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2022
This study investigates the effectiveness of using Google Translate as a translingual CALL tool in English as a Foreign Language (EFL) writing, keyed to the perceptions of both more highly proficient Chinese English major university students and less-proficient non-English majors. After watching a 5-minute passage from a movie, each cohort of…
Descriptors: Computer Assisted Instruction, Translation, Second Language Learning, Second Language Instruction
Shadiev, Rustam; Yang, Meng-ke; Reynolds, Barry Lee; Hwang, Wu-Yuin – Computer Assisted Language Learning, 2022
In this study, the participants learned English as a foreign language (EFL) in the classroom and then worked on five learning tasks to apply their newly learned knowledge to unfamiliar environments. The participants took photos of people, objects, situations or scenarios and described them in detail using a mobile learning system. Familiarization…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
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
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
Culbertson, Gabriel Rubow – ProQuest LLC, 2018
Many people want to learn a foreign language, but issues of time, convenience and cost mean that classes are often insufficient for learners, and increasingly learners are supplementing or replacing their classroom learning with online learning. The majority of existing online language learning systems use the traditional grammar-translation…
Descriptors: Second Language Learning, Second Language Instruction, Online Courses, Computer Assisted Instruction
Kosek, Michal; Lison, Pierre – Research-publishing.net, 2014
We present an intelligent tutoring system that lets students of Chinese learn words and grammatical constructions. It relies on a Bayesian, linguistically motivated cognitive model that represents the learner's knowledge. This model is dynamically updated given observations about the learner's behaviour in the exercises, and employed at runtime to…
Descriptors: Intelligent Tutoring Systems, Grammar, Bayesian Statistics, Second Language Learning
Pagel, James W.; Lambacher, Stephen G. – Research-publishing.net, 2016
As part of a longitudinal study on learner and instructor attitudes and patterns of computer and mobile device usage, we have attempted to identify how language instructors and students value their use in L2 learning. During the past five years at Aoyama Gakuin University (AGU) in Tokyo, we have surveyed both students and instructors annually in…
Descriptors: Teaching Methods, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Heift, Trude; Rimrott, Anne – Modern Language Journal, 2012
This study investigates task-related variation in learner performance in a computer-assisted language learning (CALL) environment. For our study, we collected data from 15 beginner and then intermediate second language (L2) learners of German who worked on 3 distinct activity types over 16 months: free composition, translation, and sentence…
Descriptors: Computer Assisted Instruction, Educational Technology, Program Effectiveness, Translation

Rosselle, Mieke; Sercu, Lies; Vandepitte, Sonia – Indian Journal of Applied Linguistics, 2009
This article reports on the findings obtained from an exploratory study on the effectiveness of feedback in a computer-based learning environment. The main aim of the study was to gain insight into learning outcomes and student perceptions in relation to different types of feedback. This aim was operationalised in terms of an investigation amongst…
Descriptors: Feedback (Response), Sentences, Computer Assisted Instruction, Indo European Languages
Lin, Grace Hui Chin; Chien, Paul Shih-chieh – Online Submission, 2010
Teaching English became a professional and academic field from a half century ago. Many researches for teacher education and teacher training have been conducted in order to raise the English as well as the foreign language trainers' knowledge and capabilities in carrying out effective lessons in classroom. During second millennium of speedily…
Descriptors: English (Second Language), Second Language Instruction, Global Approach, Global Education

Curtin, Constance; And Others – Modern Language Journal, 1972
Descriptors: Computer Assisted Instruction, Electronic Equipment, Grammar, Illustrations

Holmes, Glyn; Kidd, Marilyn E. – Canadian Modern Language Review, 1982
The history of computer assisted language instruction is briefly reviewed, highlighting several major projects. Computer functions compatible with language instruction include information storage and retrieval capacities, ability to analyze input, and interactiveness. Language skills that can be developed by computer include grammar, vocabulary,…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Grammar, Language Skills

Lewis, Derek – Computer Assisted Language Learning, 1997
Reviews the current state of Machine Translation (MT), i.e., computer systems attempting automatic natural language translation. Describes the experiences of teaching MT to modern language college students using a commercially available system and overviews the main features of the system. (Nine references) (Author/CK)
Descriptors: College Students, Computer Assisted Instruction, German, Grammar
Urion, Henry K. – 1970
CUM LAUDE (Computerized Understanding of Morphology--Language Acquisition under Development in Education) is a unique attempt to develop a system of computer programs enabling a machine to "understand" the grammatical relationships between the various parts of speech in a natural language. In response to an analysis of current…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, English (Second Language)
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