基于词联接的语义分析原理及其算法

现有自然语言处理方法主要采取自下而上的由词到句、由句到篇的语言分析过程,而且语义分析能力有限,因此难以对大规模真实文本进行语义处理.笔者提出了一种基于词联接的语义分析方法.该方法以词联接的语义知识为基础,采取整句切入、先下后上的语义分析过程,核心算法是句子最优树搜索和词联接语义符合度计算.目前该方法已应用于国家自然科学基金资助的计算机辅助诗词创作研究项目.

Principles and algorithm of semantic analysis based on term connections

The present natural language processing (NLP) methods mainly employ bottom-up language analysis ways, which have only limited semantic analysis capabilities. Therefore it is impossible to carry out semantic processing for large amounts of real texts. This paper presents a semantic analysis approach and corresponding algorithms based on term connections. The approach has rooted in semantics based on term connections and taken a major sentence cut-in, bottom-up semantic analyzing process. The main algorithm is to find the optimal sentence tree based on the semantic meaning conformity of term connections. So far, this approach has been applied in project CAPC (Computer Aided Poetry Composing) funded by the Chinese Natural Science Foundation.