标点分析在句子和篇章分析中有重要作用,其中逗号的功能分类是标点分析的重点和难点。该文研究添加冒号和分号分类标签为特征的逗号自动分类。首先给出逗号、冒号和分号的分类方法;然后介绍基于此分类方法的逗号、冒号和分号标点分类语料库;最后分别考察添加冒号类别标签、分号类别标签以及同时添加冒号和分号类别标签为特征的逗号分类结果。实验结果表明,三种情况下的逗号分类正确率均有不同程度的提高。
Abstract
Punctuation analysis plays an important role in sentence and discourse analysis, in which the functional classification of the comma is the key and most challenging issue. This paper explores Chinese comma automatic classification by adding the classification labels of Chinese colon or semicolon as new features. First, we describe the classification method of comma, colon and semi-colon. Then the corpora of comma, colon and semicolon are introduced. Finally, we investigate comma classification results by adding Chinese colon and semicolon, respectively and jointly as new feature(s). Experimental results show that the accuracy of comma classification improves in all three cases.
关键词
逗号分类 /
冒号标签 /
分号标签 /
篇章分析
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Key words
Chinese comma classification /
colon labels /
semicolon labels /
discourse analysis
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参考文献
[1] 中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会. GB/T15834-2011标点符号用法[M].北京:中国标准出版社, 2011.
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[6] 谷晶晶, 周国栋. 基于分词与词性标注的汉语逗号自动分类[J]. 计算机工程与应用,http://www.cnki.net/kcms/doi/10.3778/j.ssn.1002-8331,2014: 1310-0034.
[7] 黄河燕, 陈肇雄. 基于多策略分析的复杂长句翻译处理算法[J]. 中文信息学报, 2002, 16(3): 1-7.
[8] 李艳翠, 冯文贺, 周国栋. 基于逗号的汉语子句识别研究[J].北京大学学报,2013,49(1): 7-14.
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脚注
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基金
国家863计划前沿技术研究类项目(2012AA011102);国家自然科学基金面上项目(61273320)
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