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CALICO Journal

2003 Volume 20, Number 3

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Table of Contents

Number of articles: 10

  1. Error Diagnosis and Error Correction in CALL

    Trude Heift & Mathias Schulze

    Introduces this special issue of the journal, which focuses on an important aspect of learner language--linguistic errors. Each of the nine articles are highlighted. (Author/VWL) More

    pp. 433-36

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  2. Grammatical Errors and Feedback: Some Theoretical Insights

    Mathias Schulze

    Discusses selected theoretical aspects of providing error feedback for language learners. Theoretical considerations concerning the dialog with the learner about linguistic errors are discussed,... More

    pp. 437-50

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  3. Four Questions for Error Diagnosis and Correction in CALL

    Ron Cowan, Hyun Eun Choi & Doe Hyung Kim

    Poses four important questions relevant to error diagnosis and correction in computer assisted language learning (CALL). These questions relate to the diagnosis of persistent second language (L2)... More

    pp. 451-63

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  4. Error-Tagged Learner Corpora and CALL: A Promising Synergy

    Sylviane Granger

    Describes the three-tiered error annotation system designed to annotate the "French Interlanguage Database" (FRIDA) corpus. The research took place within a project that aims to produce a learner... More

    pp. 465-80

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  5. Error Diagnosis in the FreeText Project

    Sebastien L'Haire & Anne Vandeventer Faltin

    Presents research conducted within the Freetext project to build an automatic error diagnosis system for learners of French as a foreign language. Review the main features of the project and the... More

    pp. 481-95

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  6. Error Recognition and Feedback with Lexical Functional Grammar

    Veit Reuer

    Describes the error recognition module of an interactive system with a special focus on the underlying grammar theory. Using the system, the learners are invited to produce complete written... More

    pp. 497-512

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  7. Linguistic Knowledge and Reasoning for Error Diagnosis and Feedback Generation

    Rodolfo Delmonte

    Presents four sets of natural language processing-based exercises for which error correction and feedback are produced by means of a rich database in which linguistic information is encoded either ... More

    pp. 513-32

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  8. Multiple Learner Errors and Feedback: A Challenge for ICALL Systems

    Trude Heift

    Describes a web-based intelligent computer assisted language learning (ICALL) system for German that provides error-specific feedback suited to learner expertise. Focuses on the Domain Knowledge... More

    pp. 533-48

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  9. Lexically Driven Error Detection and Correction

    Cornelia Tschichold

    To overcome obstacles in error detection needed for intelligent feedback in computer assisted language learning (CALL), calls for a new focus on lexical items, both single words and multiword units... More

    pp. 549-59

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  10. A New Template-Template-Enhanced ICALL System for a Second Language Composition Course

    Liang Chen & Naoyuki Tokuda

    To solve problems of authoring a finite state of automaton-FSA based intelligent computer assisted language learning system capable of automatically correcting free format English composition... More

    pp. 561-78

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