| 基于历史模型的蒙古文自动词性标注研究 |
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| 引用本文： | 赵建东,高光来,飞龙.基于历史模型的蒙古文自动词性标注研究[J].中文信息学报,2013,27(5):156-160. |
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| 作者姓名： | 赵建东 高光来 飞龙 |
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| 作者单位： | 内蒙古大学 计算机学院,内蒙古 呼和浩特 010021 |
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| 基金项目： | 国家自然科学基金资助项目，内蒙古自然科学基金重大资助项目 |
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| 摘 要： | 蒙古文自动词性标注方面的研究工作较少,制约了对蒙古文的机器翻译、语法分析及语义分析等领域的深入研究。针对于此,提出了加入lookahead学习机制的基于历史模型的蒙古文自动词性标注方法。实验表明,加入lookahead学习机制的基于历史模型的蒙古文自动词性标注方法对蒙古文的未登录词、集内词、总体词自动词性标注的准确率分别达到了71.276 6%、99.148 2%、95.301 0%,说明此方法可以较好地进行蒙古文的自动词性标注。
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| 关 键 词： | 历史模型 lookahead 蒙古文 自动词性标注 |
Research on History-based Mongolian Automatic POS Tagging |
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| ZHAO Jiandong
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GAO Guanglai
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Fei Long.Research on History-based Mongolian Automatic POS Tagging[J].Journal of Chinese Information Processing,2013,27(5):156-160. |
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| Authors: | ZHAO Jiandong GAO Guanglai Fei Long |
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| Affiliation: | College of Computer Science, Inner Mongolia University, Hohhot, Inner Mongolia 010021, China |
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| Abstract: | The researches on Mongolian machine translation, syntax analysis and semantic analysis are restricted because of few researches on Mongolian automatic Part-Of-Speech (POS) tagging. In view of this, we proposed a history-based Mongolian automatic POS tagging method which incorporating a lookahead mechanism into the decision making process. Experiment results showed that the POS tagging accuracy of Mongolian unknown words, known words and all words are 71.276 6%, 99.148 2% and 95.301 0%, respectively, which demonstrate that our method is appropriate for Mongolian automatic POS tagging.
Key wordsHistory-models; learning with lookahead; Mongolian; automatic POS tagging |
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| Keywords: | History-models learning with lookahead Mongolian automatic POS tagging |
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