Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…

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 possible use of automatic speech recognition (ASR) for training students to improve their accents in a foreign language. Principles of good language training as well as the limits of the use of ASR and how to deal with them are discussed, and an example from the Carnegie Mellon FLUENCY system is used to show how such a system may…

Presents four sets of natural language processing-based exercises for which error correction and feedback are produced by means of a rich database in which linguistic information is encoded either at the lexical or the grammatical level. (Author/VWL)

Argues that grammar correction in second-language writing classes should be abandoned because it is ineffective, harmful, and unhelpful in any interesting sense for theoretical and practical reasons. The article also considers and rejects a number of arguments previously offered in favor of grammar correction. (122 references) (Author/CK)