论文标题
多层网络中的自组织模式用于单词和音节
Self-organizing Pattern in Multilayer Network for Words and Syllables
论文作者
论文摘要
语言学家的最终目标之一是在人类语言中找到普遍的特性。尽管通常认为单词代表语言形式和含义之间的任意映射，但我们提出了一种新的普遍定律，该法律强调了音节的同样重要作用，这是与ZIPF互补的。通过绘制英语和中文语料库的单词和音节的等级级频率分布，可见线出现并可以适合主曲线。我们基于此分析发现了用于单词和音节的多层网络，展示了自组织的特征，该特征在很大程度上依赖于音节及其连接。缩放结构的分析形式被得出并用于量化Internet语如何变得时尚，这证明了其作为进化语言学的新工具的实用性。
One of the ultimate goals for linguists is to find universal properties in human languages. Although words are generally considered as representing arbitrary mapping between linguistic forms and meanings, we propose a new universal law that highlights the equally important role of syllables, which is complementary to Zipf's. By plotting rank-rank frequency distribution of word and syllable for English and Chinese corpora, visible lines appear and can be fit to a master curve. We discover the multi-layer network for words and syllables based on this analysis exhibits the feature of self-organization which relies heavily on the inclusion of syllables and their connections. Analytic form for the scaling structure is derived and used to quantify how Internet slang becomes fashionable, which demonstrates its usefulness as a new tool to evolutionary linguistics.
