| 自学习结合部分句法分析的汉语词性标注 |
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| 引用本文： | 孔骏,陈玉泉,陆汝占.自学习结合部分句法分析的汉语词性标注[J].上海交通大学学报,2001,35(9):1370-1372. |
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| 作者姓名： | 孔骏 陈玉泉 陆汝占 |
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| 作者单位： | 上海交通大学计算机科学与工程系, |
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| 基金项目： | 国家高技术研究发展计划("863”计划)资助项目(863-306-ZT06-02-2) |
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| 摘 要： | 针对词性标中单独使用概率方法或规则方法的缺陷,将概率方法和规则方法有机结结合起来,并引入了部分句法分析除分歧义和标注歧义,利用机器学习得到的规则对输出结果进行修正,实现了一个自学习结合部分句法分析的汉语词性标注系统。
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| 关 键 词： | 机器学习 汉语词性标注 部分句法分析 概率方法 规则方法 切分歧义 标注歧义 |
| 文章编号： | 1006-2467(2001)09-1370-03 |
| 修稿时间： | 2000年4月19日 |
A Self-Learning Part of Speech Tagging Integrated with Partial Syntactic Analysis |
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| KONG Jun,CHEN Yu quan,LU Ru zhan.A Self-Learning Part of Speech Tagging Integrated with Partial Syntactic Analysis[J].Journal of Shanghai Jiaotong University,2001,35(9):1370-1372. |
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| Authors: | KONG Jun CHEN Yu quan LU Ru zhan |
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| Abstract: | Considering the disadvantages of the statistical approach and rule approach in the part of speech tagging, a statistical approach is integrated efficiently with the rule approach. This paper excludes the ambiguity of segmentation and part of speech tagging by the partial syntactic analysis and amends the results with the rules acquired by machine learning. It completed a self learning part of speech tagging integrated with the partial syntactic analysis. |
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| Keywords: | machine learning part of speech tagging partial syntactic analysis |
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