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…

Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…

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)

Describes a computer-assisted research project into the writing errors of English as a second language college students. Sentences with error types and first languages of students were entered into a database and analyzed for the most common errors of all students and the most prevalent patterns within each language group. (Author/SED)

This paper presents a study in which we examined spelling mistakes made by 34 learners of German in an online CALL exercise. We analyzed a total of 374 spelling errors that occurred in 341 words and subsequently classified them along four dimensions: (a) competence versus performance, (b) linguistic subsystem, (c) language influence, and (d)…