Recognising and responding to English article usage errors : an ICALL based approach
Artificial Intelligence techniques are increasingly being used to enhance the area of Computer-Aided Instruction. This thesis is concerned with the area of Computer-Aided Language Learning, a subset of Computer-Aided Instruction, and demonstrates how various Artificial Intelligence techniques can be incorporated into a language system to produce an intelligent educational tool. In this thesis, the focus is on the use of English articles, which is a subtle area of the English language with which even advanced students of English have difficulty. This thesis describes <i>Artcheck</i>, an intelligent Computer-Aided Language Learning (ICALL) system which detects, analyses and responds to English article usage errors. This system has three main features: it has knowledge of the article usage domain; it dynamically creates a <i>model</i> of the student; and it <i>adapts</i> to the individual student. The system's <i>knowledge</i> of the domain consists of a set of article usage rules which reflect standard teaching practice. The information necessary to apply the rules is extracted at the natural language processing stage, and includes structural and contextual information. The system <i>models</i> the state of
Sentance, Susan
Recognising and responding to English article usage errors : an ICALL based approach. Artificial Intelligence techniques are increasingly being used to enhance the area of Computer-Aided Instruction. This thesis is concerned with the area of Computer-Aided Language Learning, a subset of Computer-Aided Instruction, and demonstrates how various Artificial Intelligence techniques can be incorporated into a language system to produce an intelligent educational tool. In this thesis, the focus is on the use of English articles, which is a subtle area of the English language with which even advanced students of English have difficulty. This thesis describes <i>Artcheck</i>, an intelligent Computer-Aided Language Learning (ICALL) system which detects, analyses and responds to English article usage errors. This system has three main features: it has knowledge of the article usage domain; it dynamically creates a <i>model</i> of the student; and it <i>adapts</i> to the individual student. The system's <i>knowledge</i> of the domain consists of a set of article usage rules which reflect standard teaching practice. The information necessary to apply the rules is extracted at the natural language processing stage, and includes structural and contextual information. The system <i>models</i> the state of
recognising respond english article usage error base approach artificial_intelligence technique increasingly use enhance area computer aided instruction concerned area computer_aided language_learning subset computer aided instruction demonstrate various artificial_intelligence technique incorporate language system produce intelligent educational tool focus use english article subtle area english_language even advance student english difficulty describes intelligent computer_aided language_learning system analyse responds english article usage error system three_main feature knowledge article usage domain create model student adapts individual student system knowledge domain consist set article usage rule reflect standard teaching practice information necessary apply rule extract natural_language_processing stage include structural contextual_information system model state