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Lee, Sun-Hee; Jang, Seok Bae; Seo, Sang-Kyu – CALICO Journal, 2009
In this study, we focus on particle errors and discuss an annotation scheme for Korean learner corpora that can be used to extract heuristic patterns of particle errors efficiently. We investigate different properties of particle errors so that they can be later used to identify learner errors automatically, and we provide resourceful annotation…
Descriptors: Feedback (Response), Error Patterns, Korean, Computational Linguistics
Amaral, Luiz A.; Meurers, W. Detmar – CALICO Journal, 2009
Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…
Descriptors: Grammar, Computer Assisted Instruction, Identification, Error Analysis (Language)
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
Peer reviewedBurston, Jack – CALICO Journal, 1996
Four grammar checkers, all of French Canadian origin, were evaluated: "Le Correcteur 101,""GramR,""Hugo Plus," and "French Proofing Tools." Results indicate that "Le Correcteur 101" is the best French grammar checker on the market and worth its premium cost. (two references) (CK)
Descriptors: Computer Assisted Instruction, Computer Software, Error Analysis (Language), Error Correction
Peer reviewedLabrie, Gilles; Singh, L. P. S. – CALICO Journal, 1991
The strategy used in "Miniprof," a program designed to provide "intelligent" instruction on elementary topics in French, is described. At an erroneous response, the program engages the student in a Socratic dialog and uses three major functions: parsing, error diagnostics, and tutoring. (10 references) (Author/LB)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Error Analysis (Language), Error Correction
Peer reviewedSheridan, James – CALICO Journal, 1983
Considering the computer as a collaborator rather than a machine, it is encouraged that those in the humanities and the arts fields take advantage of the great potential that artificial intelligence can offer. Stresses that unless deliberately restricted, the computer is an inherently interdisciplinary medium, and capable of interacting with any…
Descriptors: Computer Assisted Instruction, Creative Activities, Error Analysis (Language), Humanities
Peer reviewedOller, John W., Jr. – CALICO Journal, 1996
Summarizes results from theory, research, and practice in technological assisted language instruction aiming toward an integrated theory of what will be available in this area in the 21st century. The study focuses on conceptualizing the use of advanced technologies in language instruction. (25 references) (Author/CK)
Descriptors: Computer Assisted Instruction, Concept Formation, Error Analysis (Language), Feedback
Peer reviewedSanders, Ruth – CALICO Journal, 1991
A typology for analyzing grammatical errors in student-written German compositions is presented and approaches to providing helpful error messages to student users of a parser-based writing aid are discussed. (19 references) (Author/LB)
Descriptors: Computer Assisted Instruction, Error Analysis (Language), German, Grammar
The Ghost in the Machine: Generating Error Messages in Computer Assisted Language Learning Programs.
Peer reviewedAllen, John Robin – CALICO Journal, 1996
Discusses how computer-assisted language learning programs can generate error messages to help students in different ways. The article points out that an easier solution is to program a computer to recognize several different kinds of generic errors not related to any particular question but applicable to many situations, in order to generate…
Descriptors: College Students, Computer Assisted Instruction, Error Analysis (Language), Error Correction
Peer reviewedNagata, Noriko – CALICO Journal, 1995
Presents an intelligent computer-assisted language instruction (CALI) system called "Nihongo-CALI" (Japanese Computer Assisted Language Instruction), which employs natural language processing to provide immediate, grammatically sophisticated feedback to students in an interactive environment. The study compares the efficacy of this type…
Descriptors: Artificial Intelligence, College Students, Computer Assisted Instruction, Error Analysis (Language)
Peer reviewedLevin, Lori; And Others – CALICO Journal, 1991
ALICE, a multimedia framework for intelligent computer-assisted language instruction (ICALI) at Carnegie Mellon University (PA), consists of a set of tools for building a number of different types of ICALI programs in any language. Its Natural Language Processing tools for syntactic error detection, morphological analysis, and generation of…
Descriptors: Computer Assisted Instruction, Computer Software, Error Analysis (Language), Higher Education
Peer reviewedFeuerman, Ken; And Others – CALICO Journal, 1987
Discusses the theoretical basis, implementation, and pedagogical considerations of CALLE (Computer-Aided Language Learning Environment), a dialogue-based beginning Spanish language instruction system. CALLE uses Lexical Functional Grammar Theory to analyze errors in student input. Sample screen is shown. (Author/LMO)
Descriptors: Adult Learning, Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction
Peer reviewedJehle, Fred – CALICO Journal, 1987
SPANLAP (SPANish LAnguage Processing) is a computer program which attempts to engage students of Spanish in a free-form written dialog by allowing them to ask questions. The morphological and syntactic parsing process used in SPANLAP is explained. Sample dialog illustrates limitations of the current model. (Author/LMO)
Descriptors: Artificial Intelligence, College Students, Communicative Competence (Languages), Computer Assisted Instruction
Peer reviewedClausing, Stephen – CALICO Journal, 1987
Outlines the design considerations that go into making an authoring system. Uses examples from the author's system, "Private Tutor," to illustrate. Emphasis is on the concepts that define the operation of the authoring system. Also discusses design principles of "Private Tutor" in relation to the Macintosh computer. (Author/LMO)
Descriptors: Authoring Aids (Programing), Computer Assisted Instruction, Computer Graphics, Courseware
Peer reviewedLiou, Hsien-Chin – CALICO Journal, 1991
A computer grammar checker is described that evolved from a sample of errors and resulting in a taxonomy of 14 main and 93 subtypes. Using a 1,402-word stem electronic dictionary, an augmented transition network parser, and a set of disambiguating rules, the checker provides feedback for 7 types of errors. (12 references) (Author/LB)
Descriptors: Computer Assisted Instruction, Dictionaries, English, English (Second Language)
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