Delineating the field of language evolution research
A quantitative analysis of peer-review patterns at the Joint Conference on Language Evolution (JCoLE 2022)
Research on language evolution is an established subject area yet permeated by terminological controversies about
which topics should be considered pertinent to the field and which not. By consequence, scholars focusing on language evolution
struggle in providing precise demarcations of the discipline, where even the very central notions of evolution and language are
elusive. We aimed at providing a data-driven characterisation of language evolution as a field of research by relying on
quantitative analysis of data drawn from 697 reviews on 255 submissions from the Joint Conference on Language Evolution 2022
(Kanazawa, Japan). Our results delineate a field characterized by a core of main research topics such as iconicity, sign language,
multimodality. Despite being explored within the framework of language evolution research, only very recently these topics became
popular in linguistics. As a result, language evolution has the potential to emerge as a forefront of linguistic research,
bringing innovation to the study of language. We also see the emergence of more recent topics like rhythm, music, and vocal
learning. Furthermore, the community identifies cognitive science, primatology, archaeology, palaeoanthropology, and genetics as
key areas, encouraging empirical rather than theoretical work. With new themes, models, and methodologies emerging, our results
depict an intrinsically multidisciplinary and evolving research field, likely adapting as language itself.
Article outline
- 1.Introduction
- 2.Related research
- 3.The JCoLE 2022 conference
- 4.The study
- 4.1Dataset
- 4.2Analyses and results
- 4.2.1Fields of research
- 4.2.2Topics of research
- 4.2.3Topic modelling and community detection
- 4.2.4Further analyses
- Submissions with the highest and lowest relevance scores
- Rejections by the scientific committee
- Topic relevance and overall evaluation
- Empirical vs. theoretical submissions
- 5.Discussion and conclusion
- Notes
-
References
References (23)
References
Bergmann, T. & Dale, R. (2016). A
Scientometric Analysis Of Evolang: Intersections And
Authorships. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Fehér & T. Verhoef (Eds.), The
Evolution of
Language (pp. 79–87). Proceedings
of the 11th International Conference.
Bird, S., Klein, E., & Loper, E. (2009). Natural
Language Processing with Python: analyzing text with the natural language toolkit. O’ Reilly Media, Inc.
Cuskley, C., Roberts, S. G., Politzer-Ahles, S., & Verhoef, T. (2020). Double-blind
reviewing and gender biases at EvoLang conferences: An update. Journal of Language
Evolution,
5
(1), 92–99.
Dediu, D., & de Boer, B. (2016). Language
evolution needs its own journal. Journal of Language
Evolution,
1
(1), 1–6.
Fitch, W. T. (2017). Empirical
approaches to the study of language evolution. Psychonomic Bulletin &
Review 24(1). 3–33.
Gibson, K. R., & Tallerman, M. (Eds.). (2011). The
Oxford Handbook of Language Evolution. Oxford University Press.
Gong, Y., Chen, X., & Zhang, M. (2014). Evolutionary
linguistics in the past two decades: The 10the international conference on language
evolution. Journal of Chinese
Linguistics,
42
1, 499–530.
Gould, S. J., & Lewontin, R. C. (1979). The
spandrels of San Marco and the Panglossian paradigm: A critique of the adaptationist
programme. Proceedings of the Royal Society of London. Series B. Biological
Sciences,
205
(1161), 581–598.
Hagberg, A. A., Schult, D. A., & Swart, P. J. (2008). Exploring
network structure, dynamics, and function using NetworkX. In Varoquaux, G., Vaught, T., & Millman, J. (Eds.), (pp. 11–15). Proceedings
of the 7th Python in Science Conference (SciPy2008)
Hartmann, S. (2020). Language
change and language evolution: Cousins, siblings,
twins? Glottotheory, 11(1), 15–39.
Haspelmath, M. (2016). The
evolution (or diachrony) of “language evolution” [Billet]. Diversity Linguistics
Comment. [URL]
Jackendoff, R. (2010). Your
theory of language evolution depends on your theory of
language. In Larson, R. K., Déprez, V. & Yamakido, H. (eds.), The
evolution of human language: Biolinguistic
perspectives, 63–72. Cambridge: Cambridge University Press.
Landis, J. R., & Koch, G. G. (1977). The
Measurement of Observer Agreement for Categorical
Data. Biometrics,
33
(1), 159–174.
Lewontin, R. C. (1998). The
evolution of cognition: Questions we will never answer. In Methods,
models, and conceptual issues: An invitation to cognitive science, Vol.
4. (pp. 106–132). The MIT Press.
Mendívil-Giró, J. L. (2019). Did
language evolve through language change? On language change, language evolution and grammaticalization
theory. Glossa: A journal of general
linguistics,
4
(1), 124.
Miller, G. A. (2003). The
cognitive revolution: A historical perspective. Trends in Cognitive
Sciences,
7
1, 141–144.
Porter, M. F. (1980). An
algorithm for suffix
stripping. Program,
14
(3), 130–137.
Ravignani, A., Asano, R., Valente, D., Ferretti, F., Hartmann, S., Hayashi, M., Jadoul, Y., Martins, M., Oseki, Y., Rodrigues, E. D., Vasileva, O., & Wacewicz, S. (Eds.). (2022). The
evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE). The Joint Conference on Language Evolution (JCoLE).
Scott-Phillips, T. C., & Kirby, S. (2010). Language
evolution in the laboratory. Trends in Cognitive
Sciences,
14
(9), 411–417.
Silge, J. & Robinson, D. (2017). Text
mining with R. A Tidy approach. O’Reilly.
Wacewicz, S., Żywiczyński, P., Hartmann, S., Pleyer, M., & Benítez-Burraco, A. (2020). Language
in Language Evolution Research:
Biolinguistics
,
14
1, 59–101.
Wacewicz, S., Sibierska, M., Placiński, M., Szczepańska, A., Poniewierska, A., Ng, Y. Y., & Żywiczyński, P. (2023). The
scientometric landscape of Evolang: A comprehensive database of the Evolang conference. Journal
of Language Evolution.
Żywiczyński, P. (2018). Language
Origins: From Mythology to Science. Peter Lang.