基于谱分析的语言网络全局模式发现--以辅音目录为例
Discovering Global Patterns in Linguistic Networks through Spectral Analysis: A Case Study of the Consonant Inventories
摘要：
最近的研究表明，语言和与之相关的社会认知现象可以通过语言实体网络进行适当的建模和可视化。然而，现有的语言网络研究大多只关注网络的局部性质。本研究试图通过一种纯结构的技术来分析语言的结构，即谱分析，它非常适合于发现网络中的全局相关性。这种技术的应用PhoNet，辅音的共现网络，不仅揭示了一些自然的语言学原则，管理的辅音库存的结构，但也能够量化它们的相对重要性。我们相信，这种强大的技术可以成功地应用，一般来说，研究自然语言的结构。
英文摘要：
Recent research has shown that language and the socio-cognitive phenomena associated with it can be aptly modeled and visualized through networks of linguistic entities. However, most of the existing works on linguistic networks focus only on the local properties of the networks. This study is an attempt to analyze the structure of languages via a purely structural technique, namely spectral analysis, which is ideally suited for discovering the global correlations in a network. Application of this technique to PhoNet, the co-occurrence network of consonants, not only reveals several natural linguistic principles governing the structure of the consonant inventories, but is also able to quantify their relative importance. We believe that this powerful technique can be successfully applied, in general, to study the structure of natural languages.
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。
