Data for paper: De Smet, Isabeau & Laura Rosseel (2023) "Who’s afraid of homophones? A multimethodological approach to homophony avoidance."
Description
This contains the data for the paper "De Smet, Isabeau & Laura Rosseel. 2023. Who’s afraid of homophones? A multimethodological approach to homophony avoidance. Language & Cognition 2023. 1-24." These data consist of two datasets: one on an experimental study and one on a corpus study and the relevant R-codes. Both datasets contain attestations of preterites and perfects. The experimental dataset also comprises of metadata on the condition, the exact version of the experiment etc. The corpus study consists of material from the Spoken Dutch Corpus, with manually and semi-automatically annotated variables on frequency, verb stem, lemma etc.
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Tags
- experimental-linguistics
- historical-linguistics
- homophony-avoidance
- corpus-linguistics