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    ICPR
    2006
    IEEE
    206views computer vision» more  ICPR 2006»
    An Improved Semi-Supervised Support Vector Machine Based Translation Algorithm for BCI Systems
    14 years 1 months ago
    An Improved Semi-Supervised Support Vector Machine Based Translation Algorithm for BCI Systems
    Download  nsp.i2r.a-star.edu.sg
    In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
    Jianzhao Qin, Yuanqing Li
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    FLAIRS
    2008
    180views Artificial Intelligence» more  FLAIRS 2008»
    A Hybrid Machine Translation System for Typologically Related Languages
    13 years 8 months ago
    A Hybrid Machine Translation System for Typologically Related Languages
    Download  www.aaai.org
    This paper describes a shallow parsing formalism aiming at machine translation between closely related languages. The formalism allows to write grammar rules helping to (partially...
    Petr Homola, Vladislav Kubon
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    COLING
    1992
    161views Computational Linguistics» more  COLING 1992»
    An Analysis of Indonesian Language for Interlingual Machine-Translation System
    13 years 9 months ago
    An Analysis of Indonesian Language for Interlingual Machine-Translation System
    Download  acl.ldc.upenn.edu
    Thispaper presentsBlAS (Bahasa Indonesia AnalyzerSystem), ananalysis systemforlndonesian language suitablefor multilingual machine translation system. BIAS is developed with a mot...
    Hammam R. Yusuf
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    NAACL
    1994
    128views Computational Linguistics» more  NAACL 1994»
    The Automatic Component of the LINGSTAT Machine-Aided Translation System
    13 years 9 months ago
    The Automatic Component of the LINGSTAT Machine-Aided Translation System
    Download  acl.ldc.upenn.edu
    We present the newest implementation of the LINGSTAT machine-aided translation system. The moat signiflcsat change from earlier versions is a new set of modules that produce a dra...
    Jonathan Yamron, James Cant, Anne Demedts, Taiko D...
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    COLING
    2008
    134views Computational Linguistics» more  COLING 2008»
    Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
    13 years 9 months ago
    Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
    Download  www.speech.sri.com
    The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network d...
    Necip Fazil Ayan, Jing Zheng, Wen Wang
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