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。
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.
出处
《中文信息学报》
CSCD
北大核心
2013年第5期156-159,165,共5页
Journal of Chinese Information Processing
基金
国家自然科学基金资助项目(61263037)
内蒙古自然科学基金重大资助项目(2011ZD11)
