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    ACL
    2009
    106views Computational Linguistics» more  ACL 2009»
    Realistic Grammar Error Simulation using Markov Logic
    13 years 5 months ago
    Realistic Grammar Error Simulation using Markov Logic
    Download  isoft.postech.ac.kr
    The development of Dialog-Based ComputerAssisted Language Learning (DB-CALL) systems requires research on the simulation of language learners. This paper presents a new method for...
    Sungjin Lee, Gary Geunbae Lee
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    COLING
    2008
    122views Computational Linguistics» more  COLING 2008»
    Computer Aided Correction and Extension of a Syntactic Wide-Coverage Lexicon
    13 years 8 months ago
    Computer Aided Correction and Extension of a Syntactic Wide-Coverage Lexicon
    Download  deptinfo.unice.fr
    The effectiveness of parsers based on manually created resources, namely a grammar and a lexicon, rely mostly on the quality of these resources. Thus, increasing the parser covera...
    Lionel Nicolas, Benoît Sagot, Miguel A. Moli...
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    LREC
    2008
    99views Education» more  LREC 2008»
    Using the Web as a Linguistic Resource to Automatically Correct Lexico-Syntactic Errors
    13 years 8 months ago
    Using the Web as a Linguistic Resource to Automatically Correct Lexico-Syntactic Errors
    Download  www.lrec-conf.org
    This paper presents an algorithm for correcting language errors typical of second-language learners. We focus on preposition errors, which are very common among second-language le...
    Matthieu Hermet, Alain Désilets, Stan Szpak...
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    PADL
    2005
    Springer
    103views Programming Languages» more  PADL 2005»
    Towards Provably Correct Code Generation via Horn Logical Continuation Semantics
    14 years 27 days ago
    Towards Provably Correct Code Generation via Horn Logical Continuation Semantics
    Download  eprints.ecs.soton.ac.uk
    Abstract. Provably correct compilation is an important aspect in development of high assurance software systems. In this paper we explore approaches to provably correct code genera...
    Qian Wang, Gopal Gupta, Michael Leuschel
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    ICDAR
    2009
    IEEE
    145views Document Analysis» more  ICDAR 2009»
    Syntactic Detection and Correction of Misrecognitions in Mathematical OCR
    13 years 5 months ago
    Syntactic Detection and Correction of Misrecognitions in Mathematical OCR
    Download  www.cvc.uab.es
    This paper proposes a syntactic method for detection and correction of misrecognized mathematical formulae for a practical mathematical OCR system. Linear monadic context-free tre...
    Akio Fujiyoshi, Masakazu Suzuki, Seiichi Uchida
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