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词性标注规则的获取和优化
引用本文:陈文亮,朱靖波,吕学强.词性标注规则的获取和优化[J].术语标准化与信息技术,2004(2):23-26,31.
作者姓名:陈文亮  朱靖波  吕学强
作者单位:东北大学计算机软件与理论研究所
摘    要:本文提出一种词性标注规则自动学习算法。通过对规则进行评价、优化,有效提高标注正确率和标注效率。系统对PFR标注语料库进行标注,相对于NA假设的词性兼类消歧模型标注结果,封闭测试正确率提高了5.53%,开放测试提高了4.57%。

关 键 词:词性标注规则  中文信息处理  自动学习算法  优化  PFR标注语料库

Acquisition and Optimization of Rules for Part of Speech Tagging
Abstract:A learning algorithm is presented to acquire and optimize rules which are applied on part of speech tagging. It can increase the tagging precision and efficiency. Applying the algorithm, an experiment is conducted with PTR corpus. Comparing with tagged result of grammatical tagging based on NA assumption, the tagging precision increases 5.53% in close text and 4.57% in open text.
Keywords:part of speech tagging  automatic learning of rules  chinese information processing
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