从英越平行语料库中提取平行短语

Quang-Hung Le, Anh-Cuong Le, V. Huynh
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引用次数: 1

摘要

平行短语对于机器翻译或跨语言信息检索等自然语言处理任务非常重要。提出了一种从英越平行语料库中提取平行短语的新方法。在该方法中,我们使用预定义的语法模式和短语翻译概率来确定平行短语。在英越平行语料库上进行的实验表明,该方法获得平行短语的Fscore比基线提高了79:72%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel phrase extraction from English-Vietnamese parallel corpora
Parallel phrases are important for some Natural Language Processing (NLP) tasks such as machine translation or cross language information retrieval. This paper proposes a novel method to extract parallel phrases from English-Vietnamese parallel corpora. In this method, we use predefined syntactic patterns and phrase translation probabilities for determining parallel phrases. The experiments are conducted on English-Vietnamese parallel corpora and have shown that our method increases 79:72% of Fscore for obtaining parallel phrases in comparison with a baseline.
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