Language Dynamics Journal Club

A(n approximately) fortnightly reading group devoted to the study of language variation and change from an interdisciplinary perspective.

Upcoming meetings

TBA

TBA

Past meetings (archive)

11/03/2021

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.

18/02/2021

Daniels, D., Barth, D. & Barth, W. (2019) Subgrouping the Sogeram languages: a critical appraisal of Historical Glottometry. Journal of Historical Linguistics, 9, 92–127. https://doi.org/10.1075/jhl.17011.dan

11/02/2021

Burnham, K. P. & Anderson, D. R. (2004) Multimodel inference: understanding AIC and BIC in model selection. Sociological Methods & Research, 33, 261–304. https://doi.org/10.1177/0049124104268644

16/12/2020

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. https://www.aclweb.org/anthology/2020.semeval-1.4

11/11/2020

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. https://doi.org/10.4324/9781315794013.ch6

28/10/2020

Burnett, H. (2019) Signalling games, sociolinguistic variation and the construction of style. Linguistics and Philosophy, 42, 419–450. https://doi.org/10.1007/s10988-018-9254-y

07/10/2020

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. https://doi.org/10.5334/gjgl.909

16/09/2020

Everett, C. (2013) Evidence for direct geographic influences on linguistic sounds: the case of ejectives. PLoS ONE, 8(6), e65275. https://doi.org/10.1371/journal.pone.0065275

02/09/2020

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. https://doi.org/10.1017/S0952675717000240

29/06/2020

Sóskuthy, M. (2015) Understanding change through stability: a computational study of sound change actuation. Lingua, 163, 40–60. https://doi.org/10.1016/j.lingua.2015.05.010

11/06/2020

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. https://doi.org/10.1075/jhl.17008.mat

21/05/2020

Andersen, H. (2006) Synchrony, diachrony, and evolution. In O. N. Thomsen (ed.), Competing models of linguistic change, 59–90. Amsterdam: Benjamins. https://www.academia.edu/805573/2006._Synchrony_diachrony_and_evolution_

07/05/2020

Chang, W., Cathcart, C., Hall, D. & Garrett, A. (2015) Ancestry-constrained phylogenetic analysis supports the Indo-European steppe hypothesis. Language, 91(1), 194–244. https://muse.jhu.edu/article/576998

23/04/2020

Gray, R. & Atkinson, Q. (2003) Language-tree divergence times support the Anatolian theory of Indo-European origin. Nature, 426, 435–439. https://doi.org/10.1038/nature02029

Further reading:

09/04/2020

Burridge, J., Blaxter, T. & Vaux, B. (2020) Evolutionary paths of language. EPL, 128, 28003. https://doi.org/10.1209/0295-5075/128/28003

26/03/2020

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. https://doi.org/10.1121/1.5130709