摘要
如何将自然语言表述的初等几何命题自动转化为计算机可理解的作图语言是自然语言处理中的空白,也是实现教育软件人机交互的难点。而中文分词是自然语言处理的第1步,分词结果直接影响后期的处理工作。该文通过对几何范围内的受限语言的研究,建立了有效可行的语言理解模型,完成了词素的切分和词性标注,并在程序上得以实现。
How to automatically transform from primary geometry propositions stated in natural language to drawing instructions which computers can understand is a blank in natural language processing （NLP）, and also is a nodus to actualize the man-machine interaction of CAI. Chinese word segmentation is the first step toward NLE and its results affect latter steps directly. Through the research on this controlled language within the scope of geometry, the paper sets up a feasible language model to realize the segmenting and labeling, and finally designs the corresponding software.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第18期180-182,共3页
Computer Engineering
关键词
自然语言处理
初等几何命题
词典
中文分词
Natural language processing （NLP）
Primary geometry proposition
Corpus
Chinese word segmentation
