【摘要】 本文针对有特征词的中文地名识别进行了研究。该系统使用从大规模地名词典和真实文本语料库得到的统计信息以及针对地名特点总结出来的规则 ,通过计算地名的构词可信度和接续可信度从而识别中文地名。该模型对自动分词的切分作了有效的调整 ,系统闭式召回率和精确率分别为 90 2 4 %和 93 14 % ,开式召回率和精确率分别达 86 86 %和 91 4 8%。更多还原

【Abstract】 Unknown word recognition is one of the challenging tasks in natural language processing research.This paper proposes a place name identification model in dictionary based Chinese word segmentation,in which we used statistical information drawn from a training corpus to calculate lexical reliability and contextual reliability.The rules of Chinese place names are also used in the model.We applied this approach to a Chinese morphological analysis system,and achieved 90.24% recall and 93 14% precision in close test,while the recall and precision also reach 86 86% and 91 48% in open test.更多还原