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Mining translations of OOV terms from the web through cross-lingual query expansion

机译:通过交叉语言查询扩展挖掘oov术语的翻译

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Translating out-of-vocabulary (OOV) terms is a great challenge for the Cross-lingual Information Retrieval and Data-driven Machine Translation systems. Several approaches have been proposed to mine translations for OOV terms from the web, especially from pages containing mixed languages. In this paper, we propose a novel approach to automatically translate OOV terms on the fly through cross-lingual query expansion. The proposed approach does not require any web crawling and has achieved an inclusion rate of 95% and overall translation accuracy of 90%, outperforming state-of-the-art OOV translation techniques.
机译:翻译词汇(OOV)术语是跨语言信息检索和数据驱动的机器翻译系统的巨大挑战。已经提出了几种方法来挖掘从网络的OOV术语翻译,尤其是包含混合语言的页面。在本文中,我们提出了一种新颖的方法来通过交叉查询扩展自动翻译OOV术语。该拟议的方法不需要任何网络爬行,并且已经达到了95%和总体翻译准确性的含有90%,表现优于最先进的OOV翻译技术。

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