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Huang, Ping-Yu; Tsao, Nai-Lung – Computer Assisted Language Learning, 2021
In this article, we describe an online English collocation explorer developed to help English L2 learners produce correct and appropriate collocations. Our tool, which is able to visually represent relevant correct/incorrect collocations on a single webpage, was designed based on the notions of collocation clusters and intercollocability proposed…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Error Correction
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Yang, Juan; Thomas, Michael S. C.; Qi, Xiaofei; Liu, Xuan – Computer Assisted Language Learning, 2019
From a psycholinguistic perspective of view, there are many cognitive differences that matter to individuals' second-language acquisition (SLA). Although many computer-assisted tools have been developed to capture and narrow the differences among learners, the use of these strategies may be highly risky because changing the environments or the…
Descriptors: Foreign Countries, Cognitive Ability, Phonological Awareness, English Teachers
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Daskalovska, Nina – Computer Assisted Language Learning, 2015
One of the aspects of knowing a word is the knowledge of which words it is usually used with. Since knowledge of collocations is essential for appropriate and fluent use of language, learning collocations should have a central place in the study of vocabulary. There are different opinions about the best ways of learning collocations. This study…
Descriptors: Computational Linguistics, Phrase Structure, Verbs, Form Classes (Languages)
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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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Xu, Jing; Bull, Susan – Computer Assisted Language Learning, 2010
Despite holding advanced language qualifications, many overseas students studying at English-speaking universities still have difficulties in formulating grammatically correct sentences. This article introduces an "independent open learner model" for advanced second language speakers of English, which confronts students with the state of their…
Descriptors: Feedback (Response), Sentences, Computer Assisted Instruction, Metalinguistics
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Chang, Yu-Chia; Chang, Jason S.; Chen, Hao-Jan; Liou, Hsien-Chin – Computer Assisted Language Learning, 2008
Previous work in the literature reveals that EFL learners were deficient in collocations that are a hallmark of near native fluency in learner's writing. Among different types of collocations, the verb-noun (V-N) one was found to be particularly difficult to master, and learners' first language was also found to heavily influence their collocation…
Descriptors: Sentence Structure, Verbs, Nouns, Foreign Countries
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Schoelles, Michael; Hamburger, Henry – Computer Assisted Language Learning, 1996
Discusses the integration of Fluent 2, a two-medium immersive conversational language learning environment, into the pedagogical environment. The article presents a strategy to provide teachers and other designers of language lessons with tools that will enable them to produce lessons they consider appropriate. (seven references) (Author/CK)
Descriptors: Computer Software, Course Content, Dialogs (Language), Educational Environment
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Chan, Tun-pei; Liou, Hsien-Chin – Computer Assisted Language Learning, 2005
This study investigates the influence of using five web-based practice units on English verb-noun collocations with the design of a web-based Chinese-English bilingual concordancer (keyword retrieval program) on collocation learning. Thirty-two college EFL students participated by taking a pre-test and two post-tests, and responding to a…
Descriptors: Measures (Individuals), Internet, English (Second Language), Indexes
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Schwind, Camilla B. – Computer Assisted Language Learning, 1995
Presents a framework for dealing with errors in natural language sentences within the context of automated second-language teaching. Using a feature grammar, it is possible to describe various types of errors in a uniform framework, clearly define an error, and analyze the error source. (24 references) (Author/CK)
Descriptors: Computer Assisted Instruction, Context Effect, Discourse Analysis, Error Analysis (Language)
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Metcalfe, Peter; And Others – Computer Assisted Language Learning, 1996
Discusses problems with correct verb use in the written work of students studying French. Examiners' reports indicate that the standard of verb use is declining, while the literature reveals that verb learning has inherent difficulties. The article critiques computer-assisted instruction and proposes a new approach. (23 references) (Author/CK)
Descriptors: College Students, Computer Assisted Instruction, Context Effect, Educational Technology