Still No Evidence for an Effect of the Proportion of Non-Native Speakers on Natural Language Complexity

In a recent study, I demonstrated that large numbers of L2 (second language) speakers do not appear to influence the morphological or information-theoretic complexity of natural languages. This paper has three primary aims: First, I address recent criticisms of my analyses, showing that the points raised by my critics were already explicitly considered and analysed in my original work. Furthermore, I show that the proposed alternative analyses fail to withstand detailed examination. Second, I introduce new data on the information-theoretic complexity of natural languages, with the estimates derived from various language models-ranging from simple statistical models to advanced neural networks-based on a database of 40 multilingual text collections that represent a wide range of text types. Third, I re-analyse the information-theoretic and morphological complexity data using novel methods that better account for model uncertainty in parameter estimation, as well as the genealogical relatedness and geographic proximity of languages. In line with my earlier findings, the results show no evidence that large numbers of L2 speakers have an effect on natural language complexity.

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Publication Details

Journal
Entropy
Published
2024-11-18
DOI
https://doi.org/10.3390/e26110993
Citations
5
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
21.45

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article

Still No Evidence for an Effect of the Proportion of Non-Native Speakers on Natural Language Complexity

Alexander Koplenig
5 citations
Entropy
Language and cultural evolution
21.45
article

Still No Evidence for an Effect of the Proportion of Non-Native Speakers on Natural Language Complexity

Alexander Koplenig
article en
5 citations

Abstract

In a recent study, I demonstrated that large numbers of L2 (second language) speakers do not appear to influence the morphological or information-theoretic complexity of natural languages. This paper has three primary aims: First, I address recent criticisms of my analyses, showing that the points raised by my critics were already explicitly considered and analysed in my original work. Furthermore, I show that the proposed alternative analyses fail to withstand detailed examination. Second, I introduce new data on the information-theoretic complexity of natural languages, with the estimates derived from various language models-ranging from simple statistical models to advanced neural networks-based on a database of 40 multilingual text collections that represent a wide range of text types. Third, I re-analyse the information-theoretic and morphological complexity data using novel methods that better account for model uncertainty in parameter estimation, as well as the genealogical relatedness and geographic proximity of languages. In line with my earlier findings, the results show no evidence that large numbers of L2 speakers have an effect on natural language complexity.

EntropyVol. 26(11)
Leibniz Institute for the German Language (DE)
Kempe Foundation
Quality Education
Openalex Percentile: Top 1%
Language and cultural evolution
21.45
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