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    CICLING
    2003
    Springer
    119views Natural Language Processing» more  CICLING 2003»
    A Corpus Balancing Method for Language Model Construction
    15 years 3 months ago
    A Corpus Balancing Method for Language Model Construction
    Download  ccc.inaoep.mx
    Luis Villaseñor Pineda, Manuel Montes-y-G&o...
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    SAC
    2006
    ACM
    137views Applied Computing» more  SAC 2006»
    An evaluation of conceptual business process modelling languages
    15 years 3 months ago
    An evaluation of conceptual business process modelling languages
    Download  www.wit.at
    Conceptual Business Process Modelling Languages (BPMLs) express certain aspects of processes (e.g. activities, roles, interactions, data, etc.) and address different application a...
    Beate List, Birgit Korherr
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    ACL
    2001
    151views Computational Linguistics» more  ACL 2001»
    Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features
    14 years 11 months ago
    Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features
    Download  acl.ldc.upenn.edu
    In this paper, we propose adding long-term grammatical information in a Whole Sentence Maximun Entropy Language Model (WSME) in order to improve the performance of the model. The ...
    Fredy A. Amaya, José-Miguel Benedí
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    ACL
    1998
    138views Computational Linguistics» more  ACL 1998»
    Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model
    14 years 11 months ago
    Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model
    Download  www.aclweb.org
    We present a novel OCR error correction method for languages without word delimiters that have a large character set, such as Japanese and Chinese. It consists of a statistical OC...
    Masaaki Nagata
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    ACL
    1994
    93views Computational Linguistics» more  ACL 1994»
    A Markov Language Learning Model for Finite Parameter Spaces
    14 years 11 months ago
    A Markov Language Learning Model for Finite Parameter Spaces
    Download  www.aclweb.org
    This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
    Partha Niyogi, Robert C. Berwick
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