| 统计与规则相结合的古文对联应对模型 |
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| 引用本文： | 张开旭,孙茂松.统计与规则相结合的古文对联应对模型[J].中文信息学报,2009,23(1):100. |
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| 作者姓名： | 张开旭 孙茂松 |
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| 作者单位： | 清华信息科学与技术国家实验室筹 ,清华大学 计算机科学与技术系,北京 100084 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，国家自然科学基金 |
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| 摘 要： | 该文将古文对联规则区分为硬规则与软规则,将软规则区分为字相对与上下文相对。并在软规则指导下建立对联应对的有向概率图模型,使用EM(Expectation-Maximization)算法估计模型参数,在求解的搜索过程中加入硬规则,从而给出了一种完整的对联自动应对方法。实验结果表明参数学习后的候选字列表由于一定程度上不考虑上下文相对的影响,比仅用频次统计的候选字列表更为合理。该方法还能够对训练语料库中工整与不工整的对联区分学习。基于该方法所实现的古文对联应对程序达到了一定水平。
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| 关 键 词： | 计算机应用 中文信息处理 对联应对 最大熵马尔可夫模型
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An Chinese Couplet Generation Model Based on Statistics and Rules |
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| ZHANG Kai-xu,SUN Mao-song.An Chinese Couplet Generation Model Based on Statistics and Rules[J].Journal of Chinese Information Processing,2009,23(1):100. |
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| Authors: | ZHANG Kai-xu SUN Mao-song |
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| Affiliation: | Tsinghua National Laboratory of Information Science and Technology , Department of Computer
Science and Technology, Tsinghua University, Beijing 100084,China |
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| Abstract: | This paper presents an approach to computer generation of Chinese couplets.After dividing the composition of Chinese couplets into hard rules and soft rules,this paper further points out the soft rules consists of character correspondence and context correspondence.A probabilistic graphical model is proposed for couplet generation based on the soft rules,with parameters estimated by EM(Expectation-Maximization) algorithm.The decoding of the model integrates hard rules as heuristics.The experiment result dem... |
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| Keywords: | computer application Chinese information processing Chinese couplet generation maximum entropy Markov model |
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