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Comparing phonological and orthographic networks: A multiplex analysis
- Source :
- PLoS ONE, Vol 16, Iss 2, p e0245263 (2021), PLoS ONE
- Publication Year :
- 2020
-
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.
- Subjects :
- Computer and Information Sciences
Computer science
Science
Social Sciences
computer.software_genre
Semantics
Phonology
Multiplex Networks
01 natural sciences
Vocabulary
010305 fluids & plasmas
Phonetics
Registered Report Protocol
0103 physical sciences
Similarity (psychology)
Psychology
Humans
Slavic languages
Syntax
010306 general physics
Language
Grammar
Multidisciplinary
business.industry
Cognitive Psychology
Biology and Life Sciences
Phonemes
Linguistics
Languages
Cognitive Science
Medicine
Artificial intelligence
business
computer
Natural language processing
Sentence
Natural language
Network Analysis
Natural Language
Neuroscience
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....016a99c755bcf8f99418541614d1a448