一种融合句法短语的汉英统计机器翻译方法

发布时间：2018-03-07 12:09

本文选题：统计机器翻译　切入点：双语句法短语　出处：《小型微型计算机系统》2017年10期 　论文类型：期刊论文

【摘要】：基于短语的统计机器翻译所使用的短语并不限制句法边界,因而得到的翻译结果存在大量不符合句法结构的表达.为此,分析短语模型与句法模型各自的优势与不足,提出将句法分析结果中获得的双语句法短语对融入在短语模型中,以改善机器翻译质量.首先对平行语料分别进行句法分析并从中获取中英文单语句法短语,而后利用短语表与一致性短语原则获取双语句法短语对,最后将其与短语翻译模型的原有短语表相结合.实验结果表明:双语句法短语能够提高基于短语的统计机器翻译质量,在十万句对与百万句对规模双语平行训练语料中BLEU值分别提高0.56%与0.62%.
[Abstract]:The phrase used in phrasal statistical machine translation does not restrict the syntactic boundary, so there are a large number of expressions which do not conform to the syntactic structure. Therefore, the advantages and disadvantages of phrase model and syntactic model are analyzed. In order to improve the quality of machine translation, the bilingual syntactic and phrasal pairs obtained from the results of syntactic analysis are integrated into the phrase model to improve the quality of machine translation. Firstly, the parallel corpus is analyzed separately and the single-sentence phrases in both Chinese and English are obtained from them. Then we use the principle of phrase table and consistent phrase to obtain the bilingual syntactic phrase pair and combine it with the original phrase table of the phrase translation model. The experimental results show that the bilingual syntactic phrase can improve the quality of statistical machine translation based on phrase. In the bilingual parallel training corpus of 100,000 pairs and 1 million pairs, the BLEU value increased by 0.56% and 0.62 respectively.
【作者单位】：大连理工大学计算机学院;
【基金】：国家自然科学基金项目(61672127,61173100)资助福建省中青年教师教育科研项目(JA14217)资助
【分类号】：H085.3

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