词汇和音节多层网络的自组织模式
Self-organizing Pattern in Multilayer Network for Words and Syllables
摘要:
语言学家的最终目标之一是找到人类语言的共性。虽然单词通常被认为是代表语言形式和意义之间的任意映射,我们提出了一个新的普遍规律,突出了音节,这是补充齐普夫的同样重要的作用。通过绘制英汉语料库的词和音节的等级-等级频率分布图,可以看到明显的线条,并可以拟合成一条主曲线。我们发现基于这种分析的词和音节的多层网络表现出自组织的特征,这在很大程度上依赖于音节及其连接的包含。本文推导了网络俚语流行度的解析表达式,并将其应用于网络俚语流行度的量化分析,为进化语言学提供了一种新的工具。
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。