A statistical approach to machine translation
Computational Linguistics
TINA: a natural language system for spoken language applications
Computational Linguistics
CTM: an example-based translation aid system
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
ACM Transactions on Computer-Human Interaction (TOCHI)
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
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NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Towards automatic tone correction in non-native mandarin
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
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Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
CSIEC: A computer assisted English learning chatbot based on textual knowledge and reasoning
Knowledge-Based Systems
Spoken dialogue systems for language learning
NAACL-Demonstrations '07 Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
A case study of AI application on language instruction: CSIEC
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
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It is widely recognized that one of the best ways to learn a foreign language is through spoken dialogue with a native speaker. However, this is not a practical method in the classroom due to the one-to-one student/teacher ratio it implies. A potential solution to this problem is to rely on computer spoken dialogue systems to role play a conversational partner. This paper describes several multilingual dialogue systems specifically designed to address this need. Students can engage in dialogue with the computer either over the telephone or through audio/typed input at a Web page. Several different domains are being developed, in which a student’s conversational interaction is assisted by a software agent functioning as a “tutor” which can provide them with translation assistance at any time. Thus, two recognizers are running in parallel, one for English and one for Chinese. Some of the research issues surrounding high-quality spoken language translation and dialogue interaction with a non-native speaker are discussed.