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Lee, Sun-Hee; Jang, Seok Bae; Seo, Sang-Kyu – CALICO Journal, 2009
In this study, we focus on particle errors and discuss an annotation scheme for Korean learner corpora that can be used to extract heuristic patterns of particle errors efficiently. We investigate different properties of particle errors so that they can be later used to identify learner errors automatically, and we provide resourceful annotation…
Descriptors: Feedback (Response), Error Patterns, Korean, Computational Linguistics
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

Luo, Jing – CALICO Journal, 2002
Introduces two Chinese/Japanese/Korean (CJK) Web Utilities: NJStar Asian Explorer and Asian Communicator. (Author/VWL)
Descriptors: Chinese, Computer Assisted Instruction, Japanese, Korean

Kim, Wha-Chun Mary – CALICO Journal, 1987
Describes a computer-assisted interactive video system designed to improve listening comprehension skills. The courseware makes use of a wide selection HELP OPTIONS as feedback to aid the learner's mastery of authentic natural Korean. (LMO)
Descriptors: Authoring Aids (Programing), Computer Assisted Instruction, Courseware, Feedback