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(1993)
Abstract
This paper discusses linguistic issues that one must address in order to design an effective CALL system for second language learners. We focus on how one should develop an error taxonomy and indicate how that taxonomy can affect the design of the entire system. This work was done in the context of designing a CALL tool to help native signers of American Sign Language (ASL) learn written English. Here we report the methodology used in developing the error taxonomy for the ...
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The Modern Language Journal, Vol. 66, No. 3. (1982), pp. 274-283.
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(1998)
Abstract
This paper presents IDAZKIDE, a prototype of an intelligent language learning environment (ICALL) for learners of Basque. The philosophy of the system is to make different Natural Language Processing tools simultaneously accessible to students to help them (mainly at morphological level) write in Basque as well as to give adequate advice taking into account some characteristics of the student gathered in a student model. Keywords: NLP, ICALL, Corpora, Student Model, Morphology, Second ... ...
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In Linguistically Interpreted Corpora (LINC-2005) (2005)
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(2000)
Abstract
This paper examines the recognition of non-native speech in jupiter, a speaker-independent, spontaneous-speech conversational system. Because the non-native speech in this domain is limited and varied, speaker- and accent-specific methods are impractical. We therefore chose to model all of the non-native data with a single model. In particular, this paper describes an attempt to better model non-native lexical patterns. These patterns are incorporated by applying context-independent phonetic... ...
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Computer Assisted Language Instruction Consortium, Vol. 16, No. 3. (1999)
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In ICSLP - Interspeech (September 2005)
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Computer Assisted Language Learning, Vol. 19, No. 1. (February 2006), pp. 15-45.
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(2000)
Abstract
This paper presents a model for representing the proficiency of users in a CALL system by recording their performance on specific grammatical features. The model will be used both to select accurate interpretations of user-written sentences and to focus system-delivered instruction on topics at the frontier of the learner's competence. Introduction Modeling characteristics of the user in an intelligent tutoring system is an essential undertaking if the system is to adapt itself to the... ...
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Artif. Intell. Rev., Vol. 21, No. 3-4. (2004), pp. 269-291.
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Machine Translation, Vol. 17, No. 1. (2002), pp. 43-75.
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Language Learning & Technology, Vol. 8, No. 1. (2004), pp. 24-52.
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In Proceedings of the 21th Annual Conference on Uncertainty in Artificial Intelligence (UAI-05) (2005), pp. 658-66.
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Language Teaching, Vol. 36, No. 1. (January 2003), pp. 1-14.
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Canadian Modern Language Review, Vol. 57, No. 4. (June 2001)
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In SLaTE Workshop on Speech and Language Technology in Education (2007), pp. 124-127.
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ReCALL, Vol. 15, No. 1. (2003), pp. 3-20.
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Computer Assisted Language Learning, Vol. 18, No. 1-2. (February 2005), pp. 81-109.
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Computer Assisted Language Learning, Vol. 15, No. 4. (October 2002), pp. 329-342.
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Computer Assisted Language Learning, Vol. 18, No. 3. (July 2005), pp. 143-149.
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In Third International Conference on Machine Learning and cybernetics (August 2004)
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In Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech) (September 2005)
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In UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (2001), pp. 362-369.
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Trends in Cognitive Sciences, Vol. In Press, Corrected Proof (2006)
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Trends in Cognitive Sciences, Vol. In Press, Corrected Proof (2006)
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In ACL '03: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics (2003), pp. 160-167.
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In Advances in Neural Information Processing Systems 18 (2006), pp. 907-914.
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Computer Assisted Language Instruction Consortium, Vol. 16, No. 3. (1999)
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Artificial Intelligence in Education (2005)
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Lecture Notes in Computer Science, Vol. 3220 (2004), pp. 336-345.
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Computational Linguistics, Vol. 18, No. 4. (1992), pp. 467-479.
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In ACL '01: Proceedings of the 39th Annual Meeting on Association for Computational Linguistics (2001), pp. 531-538.
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In HLT-NAACL 2004: Proceedings of the Main Conference (2004), pp. 113-120.
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In ICSLP - Interspeech (September 2006)
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Language Learning & Technology, Vol. 9, No. 1. (January 2005), pp. 80-96.
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