| 基于HMSVM模型的动词+名词关系研究 |
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| 引用本文： | 王仲华,卢娇丽.基于HMSVM模型的动词+名词关系研究[J].电脑开发与应用,2013(5):12-14. |
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| 作者姓名： | 王仲华 卢娇丽 |
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| 作者单位： | 太原师范学院数学系;山西大学现代教育技术中心 |
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| 摘 要： | 动词+名词现象在中文句法分析中具有非常重要的地位,它直接影响着句子的结构分析,隐马尔科夫支持向量机是兼顾词语前后关系的一种结构化学习模型,该模型在英文句法分析中的有效性已经被证明,将该模型用于中文动词+名词关系分析识别任务,实验结果表明,该模型能获得很好的关系识别效果。
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| 关 键 词： | 动词+名词 隐马尔科夫支持向量机 中文句法分析 关系识别 |
Research on Chinese Verb+Noun Based on HMSVM Model |
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| WANG Zhong-hua,LU Jiao-li.Research on Chinese Verb+Noun Based on HMSVM Model[J].Computer Development & Applications,2013(5):12-14. |
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| Authors: | WANG Zhong-hua LU Jiao-li |
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| Affiliation: | 1.Department of Mathematics of Taiyuan Normal University,Taiyuan 030012,China 2.Modern Education Technology Center of Shanxi University,Taiyyuan 030006,China) |
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| Abstract: | Verb+noun relation is an important structure in Chinese parsing,it has effect on analysing sentence structure.Hidden Markov Support Vector Machines is a novel structural learning model that can take account of the neighboring relations before or after the current words.Its efficiency has been proved in English parsing.In this paper,we apply HMSVM to solve Chinese verb +noun relation problem.The results of experiment show a better relation recognition effect. |
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| Keywords: | Chinese verb+noun HMSVM chinese parsing relations recognition |
| 本文献已被 CNKI 等数据库收录！ |
