Wordnet词典的全球组织架构。
Global organization of the Wordnet lexicon.
作者信息
Sigman Mariano, Cecchi Guillermo A
机构信息
Laboratory of Mathematical Physics, Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA.
出版信息
Proc Natl Acad Sci U S A. 2002 Feb 5;99(3):1742-7. doi: 10.1073/pnas.022341799.
The lexicon consists of a set of word meanings and their semantic relationships. A systematic representation of the English lexicon based in psycholinguistic considerations has been put together in the database Wordnet in a long-term collaborative effort. We present here a quantitative study of the graph structure of Wordnet to understand the global organization of the lexicon. Semantic links follow power-law, scale-invariant behaviors typical of self-organizing networks. Polysemy (the ambiguity of an individual word) is one of the links in the semantic network, relating the different meanings of a common word. Polysemous links have a profound impact in the organization of the semantic graph, conforming it as a small world network, with clusters of high traffic (hubs) representing abstract concepts such as line, head, or circle. Our results show that: (i) Wordnet has global properties common to many self-organized systems, and (ii) polysemy organizes the semantic graph in a compact and categorical representation, in a way that may explain the ubiquity of polysemy across languages.
词汇表由一组词义及其语义关系组成。基于心理语言学考量的英语词汇表的系统表示，是在长期合作努力下，整合到数据库Wordnet中的。我们在此展示一项关于Wordnet图结构的定量研究，以了解词汇表的全局组织。语义链接遵循自组织网络典型的幂律、尺度不变行为。一词多义（单个词的歧义性）是语义网络中的链接之一，它关联着一个常用词的不同含义。多义词链接对语义图的组织有着深远影响，使其成为一个小世界网络，其中高流量集群（枢纽）代表诸如线、头或圆等抽象概念。我们的结果表明：（i）Wordnet具有许多自组织系统共有的全局属性，并且（ii）一词多义以一种紧凑且分类的表示方式组织语义图，这种方式可能解释了一词多义在各种语言中的普遍存在。
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