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CALICO Journal

May 2009 Volume 26, Number 3

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Table of Contents

Number of articles: 11

  1. Judging Grammaticality: Experiments in Sentence Classification

    Joachim Wagner, Jennifer Foster & Josef van Genabith

    A classifier which is capable of distinguishing a syntactically well formed sentence from a syntactically ill formed one has the potential to be useful in an L2 language-learning context. In this... More

    pp. 474-490

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  2. Using Statistical Techniques and Web Search to Correct ESL Errors

    Michael Gamon, Claudia Leacock, Chris Brockett, William B. Dolan, Jianfeng Gao, Dmitriy Belenko & Alexandre Klementiev

    In this paper we present a system for automatic correction of errors made by learners of English. The system has two novel aspects. First, machine-learned classifiers trained on large amounts of... More

    pp. 491-511

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  3. Automatic Detection of Preposition Errors in Learner Writing

    Rachele De Felice & Stephen Pulman

    In this article, we present an approach to the automatic correction of preposition errors in L2 English. Our system, based on a maximum entropy classifier, achieves average precision of 42% and... More

    pp. 512-528

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  4. Annotation of Korean Learner Corpora for Particle Error Detection

    Sun-Hee Lee, Seok Bae Jang & Sang-Kyu Seo

    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 ... More

    pp. 529-544

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  5. Modifying Corpus Annotation to Support the Analysis of Learner Language

    Markus Dickinson & Chong Min Lee

    A crucial question for automatically analyzing learner language is to determine which grammatical information is relevant and useful for learner feedback. Based on knowledge about how learner... More

    pp. 545-561

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  6. Robo-Sensei's NLP-Based Error Detection and Feedback Generation

    Noriko Nagata

    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... More

    pp. 562-579

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  7. Little Things with Big Effects: On the Identification and Interpretation of Tokens for Error Diagnosis in ICALL

    Luiz A. Amaral & W Detmar Meurers

    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... More

    pp. 580-591

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  8. Mastering Overdetection and Underdetection in Learner-Answer Processing: Simple Techniques for Analysis and Diagnosis

    Alexia Blanchard, Olivier Kraif & Claude Ponton

    This paper presents a "didactic triangulation" strategy to cope with the problem of reliability of NLP applications for computer-assisted language learning (CALL) systems. It is based on the... More

    pp. 592-610

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  9. TechWriter: An Evolving System for Writing Assistance for Advanced Learners of English

    Diane M. Napolitano & Amanda Stent

    Writing assistance systems, from simple spelling checkers to more complex grammar and readability analyzers, can be helpful aids to nonnative writers of English. However, many writing assistance... More

    pp. 611-625

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  10. Computing Accurate Grammatical Feedback in a Virtual Writing Conference for German-Speaking Elementary-School Children: An Approach Based on Natural Language Generation

    Karin Harbusch, Gergana Itsova, Ulrich Koch & Christine Kuhner

    We built a natural language processing (NLP) system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art... More

    pp. 626-643

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  11. Construction of a Rated Speech Corpus of L2 Learners' Spontaneous Speech

    Su-Youn Yoon, Lisa Pierce, Amanda Huensch, Eric Juul, Samantha Perkins, Richard Sproat & Mark Hasegawa-Johnson

    This work reports on the construction of a rated database of spontaneous speech produced by second language (L2) learners of English. Spontaneous speech was collected from 28 L2 speakers... More

    pp. 662-673

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