The ICICLE project is a Computer-Assisted Language Learning (CALL) environment geared toward teaching English as a second language. This paper reports on an initial prototype application of the system for deaf learners of written English. A primary focus of the ICICLE effort has been devoted to enabling the system to adapt to a learning user over the evolution of language proficiency. In this p...

Learning a second language is a challenging endeavor, and, for decades now, proponents of computer-assisted language learning (CALL) have declared that help is on the horizon. As documented not only in the CALICO Journal over its 25-year history but also in other scholarly venues, research has demonstrated the value of CALL. Nevertheless, despite the fact that textbook publishers expend signifi...

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...

In this paper, we examine various studies and reviews on the usability of Automatic Speech Recognition (ASR) technology as a tool to train pronunciation in the second language (L2). We show that part of the criticism that has been addressed to this technology is not warranted, being rather the result of limited familiarity with ASR technology and with broader Computer Assisted Language Learning...

We are developing a Computer Assisted Language Learning (CALL) system for practicing oral proficiency that makes use of Automatic Speech Recognition (ASR) to provide feedback on grammar and pronunciation. Since good quality unconstrained non-native ASR is not yet feasible, we use an approach in which we try to elicit constrained responses. The task in the current experiments is to select uttera...

The aim of this study is to do a research on the effects of e-learning and sub-categories such as :internet ;Web-based English learning and computer-assisted language learning(CALL)on language learning .Before growing prevalence of Word Wide Web (www);people use emails for language learning and teaching (LL/LT).In network-based language learning (NBLL);people use computer-based educational acti...

Instructional grammar is often used in Computer-assisted Language Learning (CALL) and the grammatical error detection is an important feature. However, it is not an easy task in Chinese language. There is no delimiter separating consecutive words in Chinese sentences. Word segmentation is a process in which proper word boundaries are identified. Before syntactic parsing of a Chinese sentence, w...