摘要
“组块”最初是认知理论中提出的概念,被看作语言记忆和存储、输出和使用的最小单位,符合认知规律,能够有效强化认知操作。“网络”是由若干节点和边构成的图(Graph),表示诸多对象及其相互联系。作为新兴热点科学,复杂网络是对存在的网络现象及其复杂性进行解释的学科。语言网络是一种极为复杂的网络。运用复杂网络理论及方法对汉语组块结构进行定量描述与定性分析,发现汉语“N+N”组块网络是小世界网络,其度分布服从幂律分布,是一种无标度网络。从生物性角度来看,组块网络受人类使用影响程度较大,属于社会网络。
Chunks were originally proposed in cognitive theory as the smallest unit of language memory and storage,output and use,which conforms to cognitive laws and can effectively reinforce cognitive operations.A network is a graph composed of several nodes and edges,representing many objects and their interrelationships.As an emerging hot science,complex networks are a discipline that explains the existing network phenomena and their complexity.The language network is an extremely complex network.The complex network theory and methods are used to quantitatively describe and qualitatively analyze the structure of Chinese chunks,the Chinese“N+N”chunk network is a small world network,with a degree distribution following a power-law distribution,and is a scale-free network.From a biological perspective,block networks are highly influenced by human usage and belong to social networks.
出处
《北华大学学报（社会科学版）》
2024年第1期26-37,150,共13页
Journal of Beihua University(Social Sciences)
基金
国家社会科学基金项目“基于人工智能的短语结构句法关系判定方法研究”(21BYY205)
中外语言交流合作中心国际中文教学实践创新项目“《国际中文教育中文水平等级标准》词语组块智慧平台建设及应用研究”(YHJXCX23-076)的阶段性研究成果。
关键词
组块
复杂网络
计量语言学
互信息
小世界网络
无标度网络
chunk
complex network
quantitative linguistics
mutual information
small-world networks
scale-free networks
