处理中越机器翻译中组织名称不明词

Phuoc Tran, Tan Le, Dinh Dien, Thao Nguyen
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引用次数: 5

摘要

未知词(UKW)是机器翻译的一个明显问题,命名实体(NE)是最常见的未知词类型。在本文中,我们将提出一种基于汉语和越南语意义关系的组织名称UKW重新翻译方法。这是最复杂的网元,因为它由其他网元和实体组成。将该方法应用于中越统计机器翻译(SMT),实验结果表明,该方法显著提高了机器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handling organization name unknown word in Chinese-Vietnamese machine translation
Unknown word (UKW) is an obvious problem of machine translation and named entity (NE) is the most common UKW type. In this paper, we will present a new approach based on the meaning relationship in Chinese and Vietnamese to re-translate organization name UKW. This is the most complicated NE because it consists of other NEs and entities. Applying this approach to Chinese-Vietnamese statistical machine translation (SMT), experimental results show that our approach has significantly improved machine's performance.
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