An Extended Synergetic Model of Language Phonology

Authors

  • Germán Coloma *

    Department of Economics, CEMA University, Buenos Aires C1054AAP, Argentina

DOI:

https://doi.org/10.55121/le.v1i1.192

Keywords:

Synergetic Linguistics, Welfare Maximization, Phonological Variables, Seemingly Unrelated Regressions, Correlation

Abstract

This paper extends the analysis originally performed by the author in 2014, by developing a model based on the principles of the so-called “synergetic linguistics approach”. This model tries to explain the occurrence of several phonological characteristics of languages as a process of maximization of a welfare function, which considers both the ease of decoding language expressions and the effort to produce those expressions. The main changes in this paper are the use of a larger and more balanced sample of 150 languages, the inclusion of new phonological variables, and the explicit consideration of phylogenetic, geographic and demographic factors. The analysis is carried out using seemingly unrelated regressions for a system of equations that relate six characteristics of languages: (1) number of consonant phonemes, (2) vowel qualities, (3) distinctive tones, (4) use of stress, (5) vowel length and (6) vowel nasalization, identifying those equations as first-order conditions in a welfare maximization problem. The main finding is that the key phonological variable seems to be the number of vowel qualities in a language, which is positively correlated with the number of consonants and the use of vowel length, and negatively correlated with vowel nasalization. Other important determinants seem to be the use of contrasting vowel length, and the existence of stress distinctions.

References

[1] Coloma, G., 2014. Towards a Synergetic Statistical Model of Language Phonology. Journal of Quantitative Linguistics. 21, 100–122. DOI: https://doi.org/10.1080/09296174.2014.882184

[2] Köhler, R., 2005. Synergetic Linguistics. In: Altmann, G., Köhler, R., Piotrowski, R. (eds.). Quantitative Linguistics: An International Handbook. De Gruyter: Berlin, Germany. pp. 760–774.

[3] Klymenko, O., Yenikeyeva, S., 2022. Synergetic Linguistics as a New Philosophy of Language Studies. Theory and Practice in Language Studies. 12, 417–423. DOI: https://doi.org/10.17507/tpls.1202.28

[4] Brentari, D., 2012. Phonology. In: Pfau, R., Steinbach, M., Woll, B. (eds.). Sign Language: An International Handbook. De Gruyter: Berlin, Germany. pp. 21–54.

[5] Hurford, J., 2014. The Origins of Language. Oxford University Press: Oxford, UK.

[6] Sundaram, R., 1996. A First Course in Optimization Theory. Cambridge University Press: Cambridge, UK.

[7] Dryer, M., Haspelmath, M., 2013. The World Atlas of Language Structures Online. Max Planck Institute for Evolutionary Anthropology: Leipzig, Germany.

[8] IPA, 1999. Handbook of the International Phonetic Association. Cambridge University Press: Cambridge, UK.

[9] Greene, W., 2020. Econometric Analysis, 8th ed. Pearson: Harlow, UK.

[10] Rasinger, S., 2013. Quantitative Research in Linguistics, 2nd ed. Bloomsbury: London, UK.

[11] Coloma, G., 2016. An Optimization Model of Global Language Complexity. Glottometrics. 35, 49–63.

[12] Coloma, G., 2017. Complexity Trade-Offs in the 100-Language WALS Sample. Language Sciences. 59, 148–158. DOI: https://doi.org/10.1016/j.langsci.2016.10.006

[13] Coloma, G., 2017. The Existence of Negative Correlation between Linguistic Measures across Languages. Corpus Linguistics and Linguistic Theory. 13, 1–26. DOI: https://doi.org/10.1515/cllt-2015-0020

[14] Coloma, G., 2022. Correlation between Linguistic Measures: An Extended Analysis. Studies in Linguistics and Literature. 6(4), 109–132. DOI: https://doi.org/10.22158/sll.v6n4p109

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How to Cite

Coloma, G. (2025). An Extended Synergetic Model of Language Phonology. Linguistic Exploration, 1(1), 12–35. https://doi.org/10.55121/le.v1i1.192