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The impact of parsing accuracy on syntax-based SMT

机译:解析准确性对基于语法的SMT的影响

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摘要

In statistical machine translation (SMT), syntax-based models generally rely on the syntactic information provided by syntactic parsers in source language, target language or both of them. However, whether or how parsers impact the performance of syntax-based systems is still an open issue in the MT field. In this paper, we make an attempt to explore answers to this issue, and empirically investigate the impact of parsing accuracy on MT performance in a state-of-the-art syntax-based system. Our study shows that syntax-based system is not very sensitive to the parsing accuracy of parsers used in building MT systems.
机译:在统计机器翻译(SMT)中,基于语法的模型通常依赖于语法解析器以源语言,目标语言或两者提供的语法信息。但是,解析器是否或如何影响基于语法的系统的性能仍然是MT领域的一个悬而未决的问题。在本文中,我们尝试探索该问题的答案,并在基于语法的最新系统中以经验方式研究解析准确性对MT性能的影响。我们的研究表明,基于语法的系统对构建MT系统中使用的解析器的解析精度不是很敏感。

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