Complejidad lingüística

Jiménez, Carmen Conti

doi:10.3726/b14515

Cited by 2 publications

(1 citation statement)

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“…In fact, the number of papers published in recent years on complexity both in the field of theoretical and applied linguistics [3,[5][6][7][8][9][10][11][12][13] highlights the interest in finding a method to calculate linguistic complexity and in trying to answer the question of whether all languages are equal in terms of complexity or, if on the contrary, they differ in their levels of complexity.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Grammar for Evaluating Universality and Complexity in Natural Language

et al. 2022

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The paper focuses on linguistic complexity and language universals, which are two important and controversial issues in language research. A Fuzzy Property Grammar for determining the degree of universality and complexity of a natural language is introduced. In this task, the Fuzzy Property Grammar operated only with syntactic constraints. Fuzzy Natural Logic sets the fundamentals to express the notions of universality and complexity as evaluative expressions. The Fuzzy Property Grammar computes the constraints in terms of weights of universality and calculates relative complexity. We present a proof-of-concept in which we have generated a grammar with 42B syntactic constraints. The model classifies constraints in terms of low, medium, and high universality and complexity. Degrees of relative complexity in terms of similarity from a correlation matrix have been obtained. The results show that the architecture of a Universal Fuzzy Property Grammar is flexible, reusable, and re-trainable, and it can easily take into account new sets of languages, perfecting the degree of universality and complexity of the linguistic constraints as well as the degree of complexity between languages.

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Section: Introductionmentioning

confidence: 99%

A Fuzzy Grammar for Evaluating Universality and Complexity in Natural Language

et al. 2022

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Exploring the complexity of natural languages: A fuzzy evaluative perspective on Greenberg universals

Brosa-Rodríguez,

Dolores Jiménez-López,

Torrens-Urrutia

2023

MATH

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<abstract><p>In this paper, we introduced a fuzzy model for calculating complexity based on universality, aiming to measure the complexity of natural languages in terms of the degree of universality exhibited in their rules. We validated the model by conducting experiments on a corpus of 143 languages obtained from Universal Dependencies 2.11. To formalize the linguistic universals proposed by Greenberg, we employed the Grew tool to convert them into a formal rule representation. This formalization enables the verification of universals within the corpus. By analyzing the corpus, we extracted the occurrences of each universal in different languages. The obtained results were used to define a fuzzy model that quantifies the degree of universality and complexity of both the Greenberg universals and the languages themselves, employing the mathematical theory of evaluative expressions from fuzzy natural logic (FNL). Our analysis revealed an inversely proportional relationship between the degree of universality and the level of complexity observed in the languages. The implications of our findings extended to various applications in the theoretical analysis and computational treatment of languages. In addition, the proposed model offered insights into the nature of language complexity, providing a valuable framework for further research and exploration.</p></abstract>

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Complejidad lingüística

Cited by 2 publications

References 0 publications

A Fuzzy Grammar for Evaluating Universality and Complexity in Natural Language

A Fuzzy Grammar for Evaluating Universality and Complexity in Natural Language

Exploring the complexity of natural languages: A fuzzy evaluative perspective on Greenberg universals

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