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Marco Zappatore – Technology, Knowledge and Learning, 2024
This research aims to address the current gaps in computer-assisted translation (CAT) courses offered in bachelor's and master's programmes in scientific and technical translation (STT). A multi-framework course design methodology is proposed to support CAT teachers from the computer engineering field, improve student engagement, and promote…
Descriptors: Translation, Computational Linguistics, Computer Software, Language Skills
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Nunes Vieira, Lucas; Zhang, Xiaochun; Yu, Guoxing – Interpreter and Translator Trainer, 2021
Teaching computer-assisted translation (CAT) can require providing students with direct instructions on how to operate specific CAT tools. As opposed to subjects like translation theories, the teaching of CAT is often expected not only to instigate critical reflection but also to develop students' instrumental software skills. Striking a balance…
Descriptors: Computer Assisted Instruction, Teaching Methods, Translation, Computer Software
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Pellet, Stephanie; Myers, Lindsy – L2 Journal, 2022
In this article, a learner-centered pedagogical process for scaffolding a deliberate use of MT is presented with the goal of promoting student agency and personal expression. By developing awareness that translations entail contextually-sensitive options, students learn to critically assess different forms while actively engaging with translation…
Descriptors: Translation, Metalinguistics, Feedback (Response), Student Centered Learning
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Carsten, Svetlana; Ciobanu, Drago?; Mankauskiene, Dalia – Interpreter and Translator Trainer, 2021
Measuring the quality of information and communication technology (ICT) tools and their impact on learning outcomes is not an easy task. Carol Chapelle, the leading authority on the evaluation of computer-assisted language learning (CALL) tools, wrote in 2008: 'Evaluation of innovation is perhaps the most significant challenge teachers and…
Descriptors: Case Studies, Translation, Computer Assisted Instruction, Educational Innovation
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DeKeyser, Robert M., Ed.; Botana, Goretti Prieto, Ed. – Language Learning & Language Teaching, 2019
This book is unique in bringing together studies on instructed second language acquisition that focus on a common question: "What renders this research particularly relevant to classroom applications, and what are the advantages, challenges, and potential pitfalls of the methodology adopted?" The empirical studies feature experimental,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Decision Making
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Beuls, Katrien – Computer Assisted Language Learning, 2014
Construction grammar (CG) has been proposed as an adequate grammatical formalism for building intelligent language tutoring systems because it is highly compatible with the learning strategies observed in second language learning. Unfortunately, the lack of computational CG implementations has made it impossible in the past to corroborate these…
Descriptors: Error Analysis (Language), Grammar, Second Language Learning, Spanish
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Chen, Mei-Hua; Huang, Chung-Chi; Huang, Shih-Ting; Chang, Jason S.; Liou, Hsien-Chin – IEEE Transactions on Learning Technologies, 2014
Formulaic language is important to language acquisition; however, English language learners are often reported to have problems with formulaic expressions. Several lists of formulaic sequences have been proposed, mainly for developing teaching and testing materials. However, their limited numbers and insufficient usage information seem unable to…
Descriptors: Brain Hemisphere Functions, Chinese, College Freshmen, Language Usage
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Schuetze, Ulf; Weimer-Stuckmann, Gerlinde – CALICO Journal, 2011
Second language learners are faced with the challenging task of remembering many new words. Exactly how learners are supposed to accomplish that task is disputed. Research on lexical processing that has been carried out in cognitive psychology showed that rehearsing words in expanded patterns, that is, with a delay between each rehearsal, leads to…
Descriptors: Second Language Learning, Cognitive Psychology, Language Processing, Retention (Psychology)
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Chapelle, Carol A.; Chung, Yoo-Ree – Language Testing, 2010
Advances in natural language processing (NLP) and automatic speech recognition and processing technologies offer new opportunities for language testing. Despite their potential uses on a range of language test item types, relatively little work has been done in this area, and it is therefore not well understood by test developers, researchers or…
Descriptors: Test Items, Computational Linguistics, Testing, Language Tests
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Dickinson, Markus; Lee, Chong Min – CALICO Journal, 2009
A crucial question for automatically analyzing learner language is to determine which grammatical information is relevant and useful for learner feedback. Based on knowledge about how learner language varies in its grammatical properties, we propose a framework for reusing analyses found in corpus annotation and illustrate its applicability to…
Descriptors: Grammar, Language Processing, Computational Linguistics, Second Language Learning
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Schulze, Mathias – CALICO Journal, 2008
The application of techniques from artificial intelligence (AI) to CALL has commonly been referred to as intelligent CALL (ICALL). ICALL is only slightly older than the "CALICO Journal", and this paper looks back at a quarter century of published research mainly in North America and by North American scholars. This "inventory…
Descriptors: Research and Development, Computer Assisted Instruction, Artificial Intelligence, North Americans
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Loritz, Donald – CALICO Journal, 1987
Gives a short grammar of the Lisp computer language. Presents an introductory English parser (Simparse) as an example of how to write a parser in Lisp. Lists references for further explanation. Intended as preparation for teachers who may use computer-assisted language instruction in the future. (LMO)
Descriptors: Authoring Aids (Programing), Computational Linguistics, Computer Assisted Instruction, Grammar
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Holland, Melissa V.; And Others – CALICO Journal, 1993
Possibilities and limitations of a natural language processing technology, with its central engine, the parser, are discussed. Observations are drawn from a project by the U.S. Army Research Institute to develop a German tutor, the BRIDGE, which revolves around a parser. (Contains 19 references.) (Author/LB)
Descriptors: Computational Linguistics, Computer Assisted Instruction, Courseware, German
Cumming, Geoff; McCorriston, Mary – Journal of Computer-Based Instruction, 1981
Evaluates the intelligibility of computer speech (Supertalker, Codec) by having 47 Australian children, ages six-seven, identify speech sounds in isolation, as initial sound in words, and as final sounds in words. Since Codec more closely approximates normal speech, it is recommended for computer-assisted instruction with beginning readers.…
Descriptors: Artificial Speech, Beginning Reading, Computational Linguistics, Computer Assisted Instruction
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Feuerman, Ken; And Others – CALICO Journal, 1987
Discusses the theoretical basis, implementation, and pedagogical considerations of CALLE (Computer-Aided Language Learning Environment), a dialogue-based beginning Spanish language instruction system. CALLE uses Lexical Functional Grammar Theory to analyze errors in student input. Sample screen is shown. (Author/LMO)
Descriptors: Adult Learning, Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction
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