基于语料库的汉语视觉动词语义特征提取系统  

A Corpus-based Chinese Visual Verb Meaning Feature Extraction System

作　　者：于新鑫[1] 李青 YU Xin-xin;LI Qing(Shaanxi College of Communication Technology,Xi'an 710018 China)

机构地区：[1]陕西交通职业技术学院,陕西西安710018

出　　处：《自动化技术与应用》2022年第11期77-80,共4页Techniques of Automation and Applications

摘　　要：考虑到当前没有构建基于语料库的语言模型,存在特征提取系统性能差和系统运行次数多的问题,提出基于语料库的汉语视觉动词语义特征提取系统设计。首先构建基于语料库的语言模型,保证词语有序分类,并将词语转化成词向量方便运算,同时连接上下文关系完善语料库,其次构建语义特征提取系统框架,最后根据系统框架设计出带有核心功能、非核心功能以及用户交互的功能模块,实现汉语视觉动词语义特征提取系统设计。结果表明,所提方法的特征提取系统性能好和系统运行次数少。Considering that there is no corpus-based language model,there are problems of poor performance of the feature extraction sys-tem and the number of system runs.A corpus-based Chinese visual verb sense feature extraction system design is proposed.First,build a corpus-based language model to ensure the orderly classification of words,convert words into word vectors for easy oper-ation,and connect context to improve the corpus.Secondly,build a semantic feature extraction system framework.Finally,ac-cording to the system framework,design a system with core functions,non-core functions and user interaction function modules realize the design of the Chinese visual verb meaning feature extraction system.The results show that the feature extraction sys-tem performance of the proposed method is good and the system runs less times.

关 键 词：语料库 汉语视觉动词 特征提取 语言模型 动词语义 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]