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Language Dynamics Journal Club

26 March 2020 | #science

A (very) approximately fortnightly reading group devoted to the study of language variation and change from an interdisciplinary perspective. This page records a list of the interesting papers read.

Upcoming meetings



Past meetings (archive)


McElreath, R. (2020) The Golem of Prague. In Statistical rethinking: a Bayesian course with examples in R and Stan (2nd ed.), 1–18. Boca Raton, FL: CRC Press.


Daniels, D., Barth, D. & Barth, W. (2019) Subgrouping the Sogeram languages: a critical appraisal of Historical Glottometry. Journal of Historical Linguistics, 9, 92–127.


Burnham, K. P. & Anderson, D. R. (2004) Multimodel inference: understanding AIC and BIC in model selection. Sociological Methods & Research, 33, 261–304.


Beck, C. (2020) DiaSense at SemEval-2020 Task 1: Modeling sense change via pre-trained BERT embeddings. In A. Herbelot et al. (eds.), Proceedings of the Fourteenth Workshop on Semantic Evaluation, 50–58. Barcelona: International Committee for Computational Linguistics.


François, A. (2014) Trees, waves and linkages: models of language diversification. In C. Bowern & B. Evans (eds.), The Routledge handbook of historical linguistics, 161–189. London: Routledge.


Burnett, H. (2019) Signalling games, sociolinguistic variation and the construction of style. Linguistics and Philosophy, 42, 419–450.


Karjus, A., Blythe, R. A., Kirby, S. & Smith, K. (2020) Challenges in detecting evolutionary forces in language change using diachronic corpora. Glossa, 5(1), 45.


Everett, C. (2013) Evidence for direct geographic influences on linguistic sounds: the case of ejectives. PLoS ONE, 8(6), e65275.


Baumann, A. & Ritt, N. (2017) On the replicator dynamics of lexical stress: accounting for stress-pattern diversity in terms of evolutionary game theory. Phonology, 34, 439–471.


Sóskuthy, M. (2015) Understanding change through stability: a computational study of sound change actuation. Lingua, 163, 40–60.


Jacques, G. & List, J.-M. (2019) Save the trees: why we need tree models in linguistic reconstruction (and when we should apply them). Journal of Historical Linguistics, 9(1), 128–166.


Andersen, H. (2006) Synchrony, diachrony, and evolution. In O. N. Thomsen (ed.), Competing models of linguistic change, 59–90. Amsterdam: Benjamins.


Chang, W., Cathcart, C., Hall, D. & Garrett, A. (2015) Ancestry-constrained phylogenetic analysis supports the Indo-European steppe hypothesis. Language, 91(1), 194–244.


Gray, R. & Atkinson, Q. (2003) Language-tree divergence times support the Anatolian theory of Indo-European origin. Nature, 426, 435–439.

Further reading:


Burridge, J., Blaxter, T. & Vaux, B. (2020) Evolutionary paths of language. EPL, 128, 28003.


Harrington, J., Gubian, M., Stevens, M. & Schiel, F. (2019) Phonetic change in an Antarctic winter. The Journal of the Acoustical Society of America, 146, 3327.