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DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation task

机译:DCU-Lingo24参加WMT 2014印地语-英语翻译任务

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摘要

This paper describes the DCU-Lingo24 submission to WMT 2014 for the Hindi-English translation task. We exploit miscellaneous methods in our system, including: Context-Informed PB-SMT, OOV Word Conversion (OWC), Multi-Alignment Combination (MAC), Operation Sequence Model (OSM), Stemming Align and Normal Phrase Extraction (SANPE), and Language Model Interpolation (LMI). We also describe various preprocessing steps we tried for Hindi in this task.
机译:本文介绍了DCU-Lingo24提交给WMT 2014的印地文-英文翻译任务。我们利用系统中的其他方法,包括:上下文通知的PB-SMT,OOV字转换(OWC),多对齐组合(MAC),操作序列模型(OSM),词干对齐和常规短语提取(SANPE),以及语言模型插值(LMI)。我们还将描述在此任务中为印地语尝试的各种预处理步骤。

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  • 来源
  • 会议地点 Baltimore MA(US)
  • 作者单位

    CNGL, Centre for Global Intelligent Content School of Computing, Dublin City University Dublin 9, Ireland;

    CNGL, Centre for Global Intelligent Content School of Computing, Dublin City University Dublin 9, Ireland,Lingo24, Edinburgh, UK;

    CNGL, Centre for Global Intelligent Content School of Computing, Dublin City University Dublin 9, Ireland;

    CNGL, Centre for Global Intelligent Content School of Computing, Dublin City University Dublin 9, Ireland;

    CNGL, Centre for Global Intelligent Content School of Computing, Dublin City University Dublin 9, Ireland;

    CNGL, Centre for Global Intelligent Content School of Computing, Dublin City University Dublin 9, Ireland;

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