计算机工程与应用Issue(11)：6-11,6.DOI:10.3778/j.issn.1002-8331.1410-0272
汉英专利机器翻译中动-介兼类词自动识别
Automatic identification of verb-preposition multi-category words for Chinese-English patent machine translation
摘要
Abstract
Multi-category words are widely distributed in Chinese patent documents. A rule-based method is presented to identify verb and preposition multi-category words in Chinese-English patent machine translation. Based on the principles of boundary perception, and grammatical and semantic information of multi-category words, as well as the context infor-mation, serials of disambiguation and identification strategies are designed, which are described in formal rules. Related experiments show the method is efficient to identify verb and preposition multi-category words, and is helpful to improve final translation results.关键词
动词/介词/兼类词/识别/规则/机器翻译Key words
verb/preposition/multi-category words/identification/rule/machine translation分类
信息技术与安全科学引用本文复制引用
李洪政,朱筠,晋耀红..汉英专利机器翻译中动-介兼类词自动识别[J].计算机工程与应用,2015,(11):6-11,6.基金项目
国家高技术研究发展计划（863）（No.2012AA011104）；中央高校基本科研业务专项资金；中国博士后科学基金资助项目。 （）
