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…

In examining the titles of this year's conference presentations, the author noticed quite a few papers that focus on learner-specific issues, for instance, papers that address learning styles, learner needs, personality and learning, learner modeling and, more generally, pedagogical issues that deal with individual learner differences in…

Reports on GLOSSER, an intelligent assistant for Dutch students learning to read French, and discusses the position of natural-language processing within computer-assisted instruction, using GLOSSER as an example. (Author/VWL)

Describes principles underlying ILLICO, a generic natural-language software tool for building larger applications for performing specific linguistic tasks such as analysis, synthesis, and guided composition. Shows to what extent this approach is relevant to the development of computer-assisted language-learning systems. (Author/VWL)

Describes the Voice Interactive Training System (VILTS), a language-training prototype developed to help improve comprehension and speaking skills. The system incorporates two related technologies: speech recognition and pronunciation scoring. Discusses the motivation for the program, the interdisciplinary efforts involved, and the resulting…

In most computer-assisted-language-learning (CALL) projects, research forms an important part of the development process. However, this research frequently goes unnoticed by the academic community, and developers often fail to receive academic recognition for the research component imbedded in their development projects.(Author/ER)