Patterns in syntactic dependency networks
Open accessAbstract
Many languages are spoken on Earth. Despite their diversity, many robust language universals are known to exist. All languages share syntax, i.e., the ability of combining words for forming sentences. The origin of such traits is an issue of open debate. By using recent developments from the statistical physics of complex networks, we show that different syntactic dependency networks (from Czech, German, and Romanian) share many nontrivial statistical patterns such as the small world phenomenon, scaling in the distribution of degrees, and disassortative mixing. Such previously unreported features of syntax organization are not a trivial consequence of the structure of sentences, but an emergent trait at the global scale.
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Small-world and scale-free properties are universal features of human language on a macro scale.
“Consequently, small-world and scale-free properties are seen as universal features of human language on a macro scale (Ferrer i Cancho et al., 2004; Cong and Liu, 2014).”
From Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels (2021) · cites this paper as Ferrer i Cancho et al., 2004
The Results and Global Versus Sentence-Level Patterns sections report scale-free degree distributions and small-world properties emerging at the macroscopic scale in the networks studied. But the Discussion says these patterns are only candidates for linguistic universals and that more work is needed to establish them; the paper does not establish them as universal features of human language. Page numbers were not provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredSyntactic networks of different language types have the same small-world and scale-free properties as other complex networks.
“By analyzing complex networks, researchers have found that the syntactic networks of different language types have the same small-world and scale-free properties as other complex networks.”
From Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels (2021) · cites this paper as Ferrer i Cancho et al., 2004
Highly connected words tend not to be interconnected.
“Second, in terms of syntactic connectivity, highly connected words tend not to be interconnected (Ferrer i Cancho et al., 2004).”
From Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels (2021) · cites this paper as Ferrer i Cancho et al., 2004
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Cited by
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Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010 · see citing works
Euclidean distance between syntactically linked words
Ferrer i Cancho, R. (2004) · Physical Review E · doi:10.1103/physreve.70.056135 · Cited by 212 · see citing works
Self-citationSyntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels
Hao, Y., Wang, X., Wu, M., & Liu, H. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.643120 · Cited by 8 · see citing works
- Authors
- Ferrer i Cancho, R., Solé, R. V., & Köhler, R.
- Affiliations
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Universität Trier (DE)
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2004-05-26
- Volume
- 69
- Issue
- 5
- Pages
- 051915-051915
- ISSN
- 1539-3755 (ISSN-L)
- 1550-2376
- OpenAlex
- W2105544934
- Cited by
- 332
- References
- 2
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 8 · 2023: 27 · 2022: 5 · 2021: 14 · 2020: 22 · 2019: 12 · 2018: 13 · 2017: 14 · 2016: 17 · 2015: 20 · 2014: 21 · 2013: 21 · 2012: 11
- FWCI
- 7.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physical Review E (publishedVersion)
- PubMed (publishedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion, other-oa)
- UPCommons institutional repository (Universitat Politècnica de Catalunya) (acceptedVersion, other-oa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, public-domain)
- Funders
- Santa Fe Institute
- Generalitat de Catalunya
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
- Social Sciences › Cultural Studies › Language and cultural evolution
- Keywords
- language universals, small-world networks, disassortative mixing, complex networks, Czech, German, Romanian language
- MeSH terms
- Germany, Humans, Language, Linguistics, Phonetics, Romania, Speech, Speech Perception, Models, Statistical, Czech Republic
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