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基于句法的统计机器翻译综述
A Survey of Syntax-based Statistical Machine Translation
【摘要】 本文对基于句法的统计机器翻译进行了综述。按照模型所基于的语法不同,将基于句法的统计机器翻译分为两大类:基于形式化语法和基于语言学语法。对这两个不同类别,我们分别介绍它们代表性的工作,包括模型的构建、训练和解码器的设计等,并对比了各个模型的优点和缺点。最后我们对基于句法的统计机器翻译进行了总结,指出设计句法模型时要注意的问题,并对未来的发展趋势进行了预测。
【Abstract】 This paper presents an overview of recent syntaxbased statistical machine translation(SMT).According to the differences of grammars which translation models are based on,we classify the syntax-based SMT into two categories: formally syntax-based SMT and linguistically syntax-based SMT.For each category,we discuss the representative work,including model design,training and decoding.We also make a comparison of different models.Finally,we point out the problems on designing syntax models and give a prediction of future development of syntax-based SMT.
【Key words】 artificial intelligence; machine translation; statistical machine translation; syntax-based SMT; tree-string; tree-tree; dependency grammar;
- 【文献出处】 中文信息学报 ,Journal of Chinese Information Processing , 编辑部邮箱 ,2008年02期
- 【分类号】TP391.2
- 【被引频次】59
- 【下载频次】2036