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Direct linkWagner, Joachim; Foster, Jennifer; van Genabith, Josef – CALICO Journal, 2009
A classifier which is capable of distinguishing a syntactically well formed sentence from a syntactically ill formed one has the potential to be useful in an L2 language-learning context. In this article, we describe a classifier which classifies English sentences as either well formed or ill formed using information gleaned from three different…
Descriptors: Sentences, Language Processing, Natural Language Processing, Grammar
Wood, Peter – CALICO Journal, 2011
"QuickAssist," the program presented in this paper, uses natural language processing (NLP) technologies. It places a range of NLP tools at the disposal of learners, intended to enable them to independently read and comprehend a German text of their choice while they extend their vocabulary, learn about different uses of particular words,…
Descriptors: Foreign Countries, Educational Technology, German, Natural Language Processing
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
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
Peer reviewedBailin, Alan – CALICO Journal, 1988
Computer-assisted language instruction incorporating artificial intelligence (CALI-AI) is based on the assumption that human cognitive abilities can be reproduced by mechanical means. The major components of CALI-AI are: 1) natural language processing; 2) problem solving; 3) language learning; and 4) modeling teacher behavior. Language teachers…
Descriptors: Artificial Intelligence, Cognitive Ability, Computer Assisted Instruction, Language Processing
Loucky, John Paul – CALICO Journal, 2006
How can one better use modern CALL resources to help language learners to build up a larger target language (TL) vocabulary quickly? A major need that quickly becomes apparent at the intersection of the fields of second language vocabulary acquisition (SLVA) and computer-assisted language learning (CALL) is the lack of sufficient research with…
Descriptors: Reading Strategies, Classification, Educational Technology, Vocabulary Development
