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比较语音和正字法网络:多重分析。

Comparing phonological and orthographic networks: A multiplex analysis.

机构信息

Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, México.

Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, Ciudad de México, México.

出版信息

PLoS One. 2021 Feb 1;16(2):e0245263. doi: 10.1371/journal.pone.0245263. eCollection 2021.

Abstract

The complexity of natural language can be explored by means of multiplex analyses at different scales, from single words to groups of words or sentence levels. Here, we plan to investigate a multiplex word-level network, which comprises an orthographic and a phonological network defined in terms of distance similarity. We systematically compare basic structural network properties to determine similarities and differences between them, as well as their combination in a multiplex configuration. As a natural extension of our work, we plan to evaluate the preservation of the structural network properties and information-based quantities from the following perspectives: (i) presence of similarities across 12 natural languages from 4 linguistic families (Romance, Germanic, Slavic and Uralic), (ii) increase of the size of the number of words (corpus) from 104 to 50 × 103, and (iii) robustness of the networks. Our preliminary findings reinforce the idea of common organizational properties among natural languages. Once concluded, will contribute to the characterization of similarities and differences in the orthographic and phonological perspectives of language networks at a word-level.

摘要

自然语言的复杂性可以通过在不同尺度上进行多重分析来探索,从单个单词到单词组或句子级别。在这里,我们计划研究一个多重单词级网络,该网络由基于距离相似性定义的正字法和语音网络组成。我们系统地比较基本的结构网络属性,以确定它们之间的相似性和差异,以及它们在多重配置中的组合。作为我们工作的自然延伸,我们计划从以下几个方面评估结构网络属性和基于信息的数量的保留情况:(i)在来自 4 个语系(罗曼语系、日耳曼语系、斯拉夫语系和乌拉尔语系)的 12 种自然语言中存在相似性,(ii)将单词数量(语料库)从 104 增加到 50×103,以及(iii)网络的稳健性。我们的初步发现强化了自然语言之间存在共同组织属性的观点。一旦完成,将有助于在单词级别的语言网络的正字法和语音角度上描述相似性和差异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c469/7850493/97edee76b4ec/pone.0245263.g001.jpg

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