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…

This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package "ROBO-SENSEI: Personal Japanese Tutor" (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic…

Communicative competence is the ultimate goal of most learners of a second language and intelligible pronunciation a fundamental part of it. Unfortunately, learners often lack the opportunity to explore how intelligible their speech is for different audiences. Our research investigates whether synchronous-voice computer-mediated communication…

In a project-based approach to teaching a foreign language at the university level, students are often required to participate in several task-based writing activities. In doing so, language learners not only write incorrect forms, but also correct forms of the same structures, both of which provide useful information on their strengths and…

This paper examines the difference in learning outcomes between two groups of students, one of which used the "French Tutor," a multimedia package, and the other a textbook to learn the formation and use of two French past tense verbs: the perfect and the imperfect. Unlike the textbook, the "French Tutor" included visual…