نتایج جستجو برای: computer assisted language learning call

تعداد نتایج: 1616396  

2006
Natalia Zinovjeva

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...

2002
Johann Gamper Judith Knapp

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...

2012
Chung-Hsien Yang Chin-Chin Tseng Yi-Jing Lin

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.

2015
Evgeny Pyshkin Maxim Mozgovoy Vladislav Volkov

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...

2009
Xin Zhang Qin Lu Jiping Wan Guangguang Ma Tin-Shing Chiu Weiping Ye Wenli Zhou Qiao Li

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...

Journal: :INTERNATIONAL JOURNAL OF EDUCATIONAL SCIENCES 2014

2012
Joshua Fishman

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...

2010
Muhammad Kamarul Kabilan

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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