Mixed effect models for genetic and areal dependencies in linguistic typology
By T. Florian Jaeger, Peter Graff, W. Bruce Croft, Daniel F. Pontillo. 2011
128 citations recorded by the source corpus.
To test this hypothesis, Atkinson employs a sample of 504 non-extinct languages from WALS (Haspelmath et al. (eds.) 2008), for which the number of vowels, the number of consonants, and the number of tones in the language are annotated (Maddieson 2008a, b, c). For the main analysis, these three measures were standardized (i.e., the mean was subtracted from each value, which was then divided by the standard deviation of the measure) and averaged into one combined measure of the total phonological diversity of a language. This normalized phonological diversity measure ranges from −1.19 to 1.68 (mean = 0.02). Each language is also annotated for its coordinates on the globe as well as it population size (the number of speakers). The main text of Atkinson 2011 presents the results of a linear regression analysis of normalized phonological diversity against the distance from the hypothesized “origin of language” while controlling for log-transformed population size and its interaction with the distance from the origin (population size data was taken from Gordon & Grimes (eds.) 2005). The origin of language is determined by comparing the model fit for all 2,560 language coordinates found in the version of WALS employed by
Subfields: Cultural Studies, Experimental and Cognitive Psychology, Language and Linguistics
View Paper: https://www.semanticscholar.org/paper/2dc560a3479cec3fff3d1c61fd94c0dd2526c9cb
Citations in the corpus
- Lexical differences between Tuscan dialects and standard Italian: Accounting for geographic and sociodemographic variation using generalized additive mixed modeling (2013, unknown): “Wieling et al. 2011 also used a generalized additive model to represent the global effect of geography, since this measure is more flexible than using, for example, distance from a certain point (Jaeger et al. 2011).”
- Inferring word meanings by assuming that speakers are informative (2014, unknown): “Thus, the amount of data we collected for each participant did not allow us to make accurate estimates of participant-level effects in a mixed-effects model (Gelman & Hill, 2006; Jaeger et al., 2011).”