نتایج جستجو برای: computer assisted language learning call
تعداد نتایج: 1616396 فیلتر نتایج به سال:
Speech-enabled systems for computer-assisted language learning (CALL) offer a number of advantages for language learners. These systems make it possible to address individual problems of the learners, allow practising at self-paced speed, and the opportunity to practise is not limited to the time the teacher is available. They offer a possibility to store student profiles in log-files, and both...
Computer-assisted language learning is a research field which explores the use of computational methods and techniques as well as new media for language learning and teaching. Recently, an increasing number of language learning systems have been developed which adopt Artificial Intelligence techniques. This paper provides an overview about intelligent computer-assisted language learning. The mo...
This paper describes the tone-learning features of the MyETMyCT software, which is a computer-assisted language learning platform based on advanced speech technologies. We describe the theories involved, the advantages it offered, and the challenges we faced when developing such a computer-assisted language learning system.
The paper follows a discourse on computer-assisted language learning. We examine problems of foreign language teaching and learning and introduce a metamodel that can be used to define learning models of language grammar structures in order to support teacher/student interaction. Special attention is paid to the concept of a virtual language lab. Our approach to language education assumes to en...
A computer assisted pronunciation teaching system (CAPT) is a fundamental component in a computer assisted language learning system (CALL). A speech recognition based CAPT system often requires a large amount of speech data to train the incorrect phone models in its speech recognizer. But collecting incorrectly pronounced speech data is a labor intensive and costly work. This paper reports an e...
This study presents the results from a CALL system of Runyakitara (RU_CALL). The major objective was to provide an electronic language learning environment that can enable learners with mother tongue deficiencies to enhance their knowledge of grammar and acquire writing skills in Runyakitara. The system currently focuses on nouns and employs natural language processing in order to generate a la...
The field of Computer Assisted Language Learning (CALL) has transformed dramatically—from the days of the behaviourist approach that dominated CALL in the 1970s to the dynamism of Interactive approach in the 1990s under the immense influence of information communication technology (ICT). Regardless of these periodic changes and improvements, successful implementation of CALL programs in schools...
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