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Menzerath’s Law in the Syntax of Languages Compared with Random Sentences

The Menzerath law is considered to show an aspect of the complexity underlying natural language. This law suggests that, for a linguistic unit, the size (y) of a linguistic construct decreases as the number (x) of constructs in the unit increases. This article investigates this property syntacticall...

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Autor principal: Tanaka-Ishii, Kumiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230130/
https://www.ncbi.nlm.nih.gov/pubmed/34070370
http://dx.doi.org/10.3390/e23060661
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author Tanaka-Ishii, Kumiko
author_facet Tanaka-Ishii, Kumiko
author_sort Tanaka-Ishii, Kumiko
collection PubMed
description The Menzerath law is considered to show an aspect of the complexity underlying natural language. This law suggests that, for a linguistic unit, the size (y) of a linguistic construct decreases as the number (x) of constructs in the unit increases. This article investigates this property syntactically, with x as the number of constituents modifying the main predicate of a sentence and y as the size of those constituents in terms of the number of words. Following previous articles that demonstrated that the Menzerath property held for dependency corpora, such as in Czech and Ukrainian, this article first examines how well the property applies across languages by using the entire Universal Dependency dataset ver. 2.3, including 76 languages over 129 corpora and the Penn Treebank (PTB). The results show that the law holds reasonably well for [Formula: see text]. Then, for comparison, the property is investigated with syntactically randomized sentences generated from the PTB. These results show that the property is almost reproducible even from simple random data. Further analysis of the property highlights more detailed characteristics of natural language.
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spelling pubmed-82301302021-06-26 Menzerath’s Law in the Syntax of Languages Compared with Random Sentences Tanaka-Ishii, Kumiko Entropy (Basel) Article The Menzerath law is considered to show an aspect of the complexity underlying natural language. This law suggests that, for a linguistic unit, the size (y) of a linguistic construct decreases as the number (x) of constructs in the unit increases. This article investigates this property syntactically, with x as the number of constituents modifying the main predicate of a sentence and y as the size of those constituents in terms of the number of words. Following previous articles that demonstrated that the Menzerath property held for dependency corpora, such as in Czech and Ukrainian, this article first examines how well the property applies across languages by using the entire Universal Dependency dataset ver. 2.3, including 76 languages over 129 corpora and the Penn Treebank (PTB). The results show that the law holds reasonably well for [Formula: see text]. Then, for comparison, the property is investigated with syntactically randomized sentences generated from the PTB. These results show that the property is almost reproducible even from simple random data. Further analysis of the property highlights more detailed characteristics of natural language. MDPI 2021-05-25 /pmc/articles/PMC8230130/ /pubmed/34070370 http://dx.doi.org/10.3390/e23060661 Text en © 2021 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tanaka-Ishii, Kumiko
Menzerath’s Law in the Syntax of Languages Compared with Random Sentences
title Menzerath’s Law in the Syntax of Languages Compared with Random Sentences
title_full Menzerath’s Law in the Syntax of Languages Compared with Random Sentences
title_fullStr Menzerath’s Law in the Syntax of Languages Compared with Random Sentences
title_full_unstemmed Menzerath’s Law in the Syntax of Languages Compared with Random Sentences
title_short Menzerath’s Law in the Syntax of Languages Compared with Random Sentences
title_sort menzerath’s law in the syntax of languages compared with random sentences
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230130/
https://www.ncbi.nlm.nih.gov/pubmed/34070370
http://dx.doi.org/10.3390/e23060661
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