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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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Wu, Shaoqun; Franken, Margaret; Witten, Ian H. – Computer Assisted Language Learning, 2009
The web is a potentially useful corpus for language study because it provides examples of language that are contextualized and authentic, and is large and easily searchable. However, web contents are heterogeneous in the extreme, uncontrolled and hence "dirty," and exhibit features different from the written and spoken texts in other linguistic…
Descriptors: Computational Linguistics, Word Lists, Electronic Libraries, Internet
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Sha, Guoquan – Computer Assisted Language Learning, 2010
Data-driven learning (DDL), or corpus-based language learning, involves the learner in an exploratory task to discover appropriate expressions or collocates regarding his writing. However, the problematic units of meaning in each learner's writing are so diverse that conventional corpora often prove futile. The search engine Google with the…
Descriptors: Written Language, Search Engines, Second Language Learning, Computational Linguistics
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Schulze, Mathias; Penner, Nikolai – Computer Assisted Language Learning, 2008
The choice of grammatical framework in ICALL--the branch of CALL that applies artificial intelligence techniques--has important implications for both research and development. Matthews (1993) argued for one "that potentially meshes with SLA (second language acquisition)" (p. 5) and sketches three criteria that facilitate the crucial…
Descriptors: Research and Development, Grammar, Artificial Intelligence, Learning Processes
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Johns, Tim F.; Hsingchin, Lee; Lixun, Wang – Computer Assisted Language Learning, 2008
This paper presents particular pedagogical applications of a number of corpus-based CALL (computer assisted language learning) programs such as "CONTEXTS" and "CLOZE," "MATCHUP" and "BILINGUAL SENTENCE SHUFFLER," in the teaching of English through children's literature. An elective course in Taiwan for…
Descriptors: Childrens Literature, Elective Courses, Foreign Countries, English (Second Language)
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Futagi, Yoko; Deane, Paul; Chodorow, Martin; Tetreault, Joel – Computer Assisted Language Learning, 2008
This paper describes the first prototype of an automated tool for detecting collocation errors in texts written by non-native speakers of English. Candidate strings are extracted by pattern matching over POS-tagged text. Since learner texts often contain spelling and morphological errors, the tool attempts to automatically correct them in order to…
Descriptors: Native Speakers, English (Second Language), Limited English Speaking, Computational Linguistics
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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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Berleant, Daniel; And Others – Computer Assisted Language Learning, 1997
Describes LEARN, a software system for computer assisted foreign language vocabulary acquisition. Notes that the system processes English unrestricted text by translating selected English words in it into foreign words before presenting the text to the student. Points out that the natural path for the system's future is to add more languages. (23…
Descriptors: Ambiguity, Computational Linguistics, Computer Assisted Instruction, Computer Software
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Sentance, Sue – Computer Assisted Language Learning, 1997
Describes the development of a domain model for English article usage which has been implemented within an Intelligent Language Tutoring System. Notes that in order to develop a domain model of a language or an aspect of a language, it is necessary to formalize the native speaker's knowledge in a way that is representationally adequate and…
Descriptors: Computational Linguistics, Computer Assisted Instruction, English (Second Language), Form Classes (Languages)