| 摘要: |
| 提出了一种对数模型(logarithmmodel,简称LM),构造了一个词义自动消歧系统LM-WSD(wordsensedisambiguationbasedonlogarithmmodel).在词义自动消歧实验中,构造了4种计算模型进行词义消歧,根据4个计算模型的消歧结果,分析了高频率词义、指示词、特定领域、固定搭配和固定用法信息对名词和动词词义消歧的影响.目前,该词义自动消歧系统LM-WSD已经应用于基于词层的英汉机器翻译系统(汽车配件专业领域)中,有效地提高了翻译性能. |
| 关键词: 词义自动消歧 机器翻译 对数模型 自然语言处理 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目(69985001);国家重点基础研究发展规划973资助项目(G19980305011);国家教育部博士点基金资助项目(1999014503) |
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| Logarithm Model Based Word Sense Disambiguation |
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ZHU Jing bo,LI Heng,ZHANG Yue,YAO Tian shun
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| Abstract: |
| In this paper, a method for automatic word sense disambiguation based on logarithm model (LM) is discussed, and a word sense disambiguation system LM_WSD is implemented. In the experiments, four models are used to word sense disambiguation. Experiments showed the effect of high-frequency sense, salient words, specialized field and general usage to noun and verb word sense disambiguation. Now the system LM_WSD was applied in a word based English-Chinese machine translation system for car fittings field, and improved the performance of the system. |
| Key words: word sense disambiguation machine translation logarithm model natural language processing |
