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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
    15 years 4 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
    14 years 11 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
    14 years 11 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
    14 years 11 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
    14 years 11 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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