LZ Suri, KF McCoy - Computer Assisted Language Learning, 1993 - Taylor & Francis
Introduction: In this paper, we examine the need for Computer Assisted Language Learning (CALL) systems to identify and correct errors at the discourse level. We are interested in the …
In this thesis, we investigate methods for automatic detection, and to some extent correction, of grammatical errors. The evaluation is based on manual error annotation in the Cambridge …
A Sethy, SS Narayanan, N Mote, WL Johnson - INTERSPEECH, 2005 - researchgate.net
Human tutors, in dealing with non-native speakers, draw from their knowledge of common learner mistakes to understand learner speech and offer effective corrective advice. In this …
T Chanier, M Pengelly, M Twidale, J Self - Intelligent tutoring systems for …, 1992 - Springer
Many computer-assisted language learning systems specifically designed to be used in the curriculum and which exploit AI techniques have neither a learner model nor consequently …
Learning a new language is a challenging endeavor. As a student attempts to master the grammar usage and mechanics of the new language, they make many mistakes. Detailed …
KF Shaalan, HE Talhami - … in Natural Language Processing, Research in …, 2006 - cicling.org
Arabic is a Semitic language that is rich in its morphology and syntax. The very numerous and complex grammar rules of the language could be confusing even for Arabic native …
Computer Assisted Language Learning (CALL) programs can generate error messages to help students in several ways. The author of material used in a program can anticipate that …
An" intelligent" system for constructing computer-assisted pattern drills to be used in second language instruction is proposed. First, some of the difficulties in designing intelligent error …