论文标题
以分散的基于图的人类语言方法进行相变
Phase transitions in a decentralized graph-based approach to human language
论文作者
论文摘要
ZIPF的定律在大型文本语料库中建立了对单词频率的扩展行为。以前，人类语言中Zipfian特性的出现已被解释为对说话者和听众利益的优化问题。另一方面，可以将类似的词汇视为两部分图。这里的目的是双重：在对人类词汇的两分 - 图形方法中，提出了一个分散的语言游戏模型，以形成Zipfian属性。为此，我们定义了一种语言游戏，其中人造代理人参与了理想化的语言互动。数值模拟显示了从最初无序状态到三个可能形成的三个可能阶段的相变的出现。我们的结果表明，语言中的Zipfian属性似乎部分是由于具有双分部分单词含义映射的代理之间的分散性语言相互作用而产生的。
Zipf's law establishes a scaling behavior for word-frequencies in large text corpora. The appearance of Zipfian properties in human language has been previously explained as an optimization problem for the interests of speakers and hearers. On the other hand, human-like vocabularies can be viewed as bipartite graphs. The aim here is double: within a bipartite-graph approach to human vocabularies, to propose a decentralized language game model for the formation of Zipfian properties. To do this, we define a language game, in which a population of artificial agents is involved in idealized linguistic interactions. Numerical simulations show the appearance of a phase transition from an initially disordered state to three possible phases for language formation. Our results suggest that Zipfian properties in language seem to arise partly from decentralized linguistic interactions between agents endowed with bipartite word-meaning mappings.
