Speech technology for language tutoring
نویسندگان
چکیده
Language learners are known to perform best in one-on-one interactive situations in which they receive optimal corrective feedback. However, one-on-one tutoring by trained language instructors is costly and therefore not feasible for the majority of language learners. This particularly applies to oral proficiency, which requires intensive tutoring. Computer Assisted Language Learning (CALL) systems that make use of Automatic Speech Recognition (ASR) seem to offer new perspectives for language tutoring. In this paper we explain how. Index Term s: Computer Assisted Language Learning (CALL), Automatic Speech Recognition (ASR), language tutoring.
منابع مشابه
Towards an embedded language tutoring system for children
Computer-aided language learning (CALL) applications for adult learners are well-established. Tutoring applications for children require special didactic and ergonomic concepts. Except for low functionality (toy-like) products for children and PDA-based solutions, embedded systems seem to be not present in the market yet. The authors currently adapt baseline tutoring technology for adult learne...
متن کاملTeaching approaches to Computer Assisted Language Learning
Computers have been used for language teaching ever since the 1960's.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 horison. We investigate the suitability of deploying speech technology in computer based systems that can be used to teach foreign language skills. In this case,...
متن کاملA Corpus-Based Grammar Tutor for Education in Language and Speech Technology
We describe work in progress on a corpus-based tutoring system for educat, ion in traditional and formal grammar. It is mainly intended for language and speech technology students and gives them the opportunity to learn grammar and grammatical analysis from authentic language material. The exercises offered by the system are based on pedagogically adapted versions of formalisms and tools that a...
متن کاملContext-Based Speech Act Classification in Intelligent Tutoring Systems
In intelligent tutoring systems with natural language dialogue, speech act classification, the task of detecting learners’ intentions, informs the system’s response mechanism. In this paper, we propose supervised machine learning models for speech act classification in the context of an online collaborative learning game environment. We explore the role of context (i.e. speech acts of previous ...
متن کاملA multilingual embodied conversational agent for tutoring speech and language learning
Speech and language science and technology evolved under the assumption that speech was a solely auditory event. However, a burgeoning record of research findings reveals that our perception and understanding are influenced by a speaker's face and accompanying gestures, as well as the actual sound of the speech. Perceivers expertly use these multiple sources of information to identify and inter...
متن کامل