摘要
在自然语言处理中,文本通常由多个句子组成。句子边界识别、句子分类和分析在其中具有十分重要的地位,因为它们处理的精度直接影响到后续处理,包括句法分析和语义分析等。本文研究现代维吾尔语句子分类方法。首先介绍维吾尔语句子构造规则和自动分类简单句和复合句规则;其次探讨维吾尔语句子划分原则、划分规则和分类算法;接下来对实现的现代维吾尔语句子分类系统进行功能描述、数据描述和系统设计与实现过程描述;最后,对系统实验的结果进行分析并对全文进行总结。
The written text is usually composed of multiple sentences in natural language processing. And sentence boundary identification,sentence classification and analysis play an important role because the processing results have impact on the subsequent process,such as parsing and semantic analysis etc. This paper introduces an approach to classify the modern Uyghur sentences. Firstly,we introduce the construction rules of Uyghur sentence and the rules of automatic classification of simple and compound sentences. Secondly,we investigate the classification rules,principles,and algorithm for the Uyghur sentences.Then,the functional description,data description and system design and implementation processing description are given for the realized modern Uyghur sentence classification system. Finally,the experimental results are analyzed and the conclusions are represented.
出处
《计算机与现代化》
2015年第3期84-87,共4页
Computer and Modernization
基金
新疆维吾尔自治区自然科学基金资助项目(2014211A045)
新疆维吾尔自治区哲学社会科学研究规划基金资助项目(14CYY093)
教育部人文社会科学一般项目(14YJC740001)
新疆维吾尔自治区高校科研计划青年教师科研启动基金资助项目(20140706213103147)
国家自然科学基金重点资助项目(61132009)
国家自然科学基金资助项目(61262066)
国家社科基金重点资助项目(14AZD11)
关键词
现代维吾尔语
句子分类
计量研究
modern Uyghur language
sentence classification
qualitative research
