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arXiv 0806.0923physics.soc-phphysics.data-an
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辅音库存结构与动态的复杂网络模型

Modeling the Structure and Dynamics of the Consonant Inventories: A Complex Network Approach

Animesh Mukherjee, Monojit Choudhury, Anupam Basu, Niloy Ganguly

摘要:

我们通过复杂网络的方法研究辅音库存的自组织。我们观察到,分布的出现,以及共现的辅音跨语言遵循幂律的行为。辅音的共现网络具有较高的聚类系数。我们提出了四种新的合成模型,这些网络(其中每一个是一个改进的早期),以便连续匹配更高的精度(a)上述拓扑特性以及(b)的辅音库存所表现出的特征经济的语言属性。最后,我们认为,这种机制的网络增长的一个可能的解释是儿童语言习得的过程。这些模型从本质上增加了我们对语言结构的理解,这些语言结构受到其进化动力学的影响,这反过来又对构建未来的NLP应用程序非常有用。

英文摘要:

We study the self-organization of the consonant inventories through a complex network approach. We observe that the distribution of occurrence as well as cooccurrence of the consonants across languages follow a power-law behavior. The co-occurrence network of consonants exhibits a high clustering coefficient. We propose four novel synthesis models for these networks (each of which is a refinement of the earlier) so as to successively match with higher accuracy (a) the above mentioned topological properties as well as (b) the linguistic property of feature economy exhibited by the consonant inventories. We conclude by arguing that a possible interpretation of this mechanism of network growth is the process of child language acquisition. Such models essentially increase our understanding of the structure of languages that is influenced by their evolutionary dynamics and this, in turn, can be extremely useful for building future NLP applications.

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。

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