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Nagata, Noriko – CALICO Journal, 2009
This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package "ROBO-SENSEI: Personal Japanese Tutor" (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic…
Descriptors: Textbooks, Computer Assisted Instruction, Computer Software, Natural Language Processing
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Nagata, Noriko – CALICO Journal, 2010
This paper discusses several design issues in the development of a new online Japanese textbook, called "Robo-Sensei: Japanese Curriculum with Automated Feedback". When it is completed, the new online textbook will present a full Japanese curriculum. It extends a previously published online software program, "Robo-Sensei: Personal Japanese Tutor"…
Descriptors: Feedback (Response), Class Activities, Student Attitudes, Learning Activities
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Nagata, Noriko – Language Learning & Technology, 1998
Presents an experiment concerning the relative effectiveness of computer assisted comprehension practice and production practice in the acquisition of a second language. Results show that the output-focused group performed significantly better than the input-focused group for the production of Japanese honorifics and equally well for the…
Descriptors: Computer Assisted Instruction, Computer Software, Japanese, Reading Comprehension
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Nagata, Noriko – Computer Assisted Language Learning, 1998
Concerns the relative effectiveness of computer-assisted production (output) practice and comprehension (input) practice in second-language acquisition. In particular, the study focuses on whether the advantage of production practice over comprehension practice still remains when the target structures are relatively simple. (Author/VWL)
Descriptors: College Students, Computer Assisted Instruction, Computer Software, Grammar
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Nagata, Noriko – System, 1997
Describes a parser-driven Japanese tutor, "BANZAI," designed for second-language instruction and presents an empirical study of the program. Results indicate that ongoing rule-driven deductive feedback is more effective than example-driven inductive feedback for learning relatively complex structures whose grammatical rules are not…
Descriptors: College Students, Computer Assisted Instruction, Computer Software, Error Correction