摘要
命名实体识别是在信息抽取研究技术的蓬勃发展中提出的一个自然语言处理领域的重要分支.当前主流语言的命名实体识别方法主要是:基于规则、统计和机器学习的方法,并且都取得一定的成果.而在藏语命名实体识别研究上还处于摸索阶段.文章结合藏语本身的特点,通过和中英文比较,探索藏语命名实体识别的研究.
Named entity recognition is an important branch of the natural language processing field,which proposed from information extraction technology of vigorous development.The method of named entity recognition is mainly based on rules,statistics and machine learning method for the current mainstream language,while made a certain result.However the research on Tibetan named entity recognition is in groping stage.This paper based on the characteristics of Tibetan language itself,through the comparison with Chinese and English, explores Tibetan named entity recognition of research.
出处
《西北民族大学学报（自然科学版）》
2010年第3期49-52,共4页
Journal of Northwest Minzu University(Natural Science)
基金
国家自然基金项目(No.60773052)
西北民族大学研究生科研创新项目(No.ycx10118)
关键词
命名实体
规则
统计
机器学习
Named Entity
Rules
statistics
Machine Learning
