CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it still remains a challenge to achieve high speech recognition performance, including accurate detection of erroneous utterances by non-native speakers. Conventionally, possible error patterns, based on linguistic knowledg...

This entry provides a thorough introduction to computer-assisted and -aided language learning (CALL). It starts by providing the definition and history of CALL and associated relevant terms. Then, an existing CALL methodological framework is presented and discussed. This is then followed by an overview of the current state of CALL by citing some representative examples of its uses and discussin...

nowadays computers are increasingly being incorporated into school curriculums and serious games are occupying the educational games markets. this article addressed the integration of serious games as tools for learning and teaching english in iranian schools to zero-beginner students. an experiment was concluded using computer assisted language learning (call) to investigate the effectiveness ...

The proliferation of social networking services has revolutionized the way people around the world interact and communicate. The need to overcome language barriers that impose hurdles to this human communication is more acute than ever. Computer Assisted Language Learning systems try to bridge the gap between the need and the availability of language services in education. The convergence of bo...

In the first part of this article, we explore the background of computer-assisted learning from its beginnings in the early XIX century and the first teaching machines, founded on theories of learning, at the start of the XX century. With the arrival of the computer, it became possible to offer language learners different types of language activities such as comprehension tasks, simulations, et...

As an application of NLP to computer-assisted language learning(CALL) , we propose a diagnostic processing of Japanese being able to detect errors and inappropriateness of sentences composed by the students in the given situation and the context of the exercise texts. Using LTAG(Lexicalized Tree Adjoining Grammar) formalism, we have implemented a prototype of such a diagnostic parser as a compo...