Calendrier

• Natalia Chousou-Polydouri, David Inman, Marine Vuillermet (Université de Zurich)

dans le cadre DILIS

https://cnrs.zoom.us/j/96151842901?pwd=M2kzMjBUeGZidXpaTTFvNnNxRWJZdz09

Speakers:

• Natalia Chousou-Polydouri
• Marine Vuillermet
• David Inman

Our dataset is based on a fine-grained survey of both well-established and more recently identified typological features with areal potential. It includes a variety of phonological features (e.g. glottalized consonants, tone, syllable structure), as well as morphosyntactic features (e.g. SG-PL verb stem alternation, apprehensional morphology, demonstratives, personal pronouns). Our genetically and geographically balanced language sample covers 215 American languages (117 families and 98 isolates), as well as a global sample of 100 languages for comparison. For the analysis, we use a geographically informed Bayesian clustering approach to detect linguistic areas, while controlling for possible confounding effects due to shared inheritance and universal preference (features being similar due to being globally common).

In this talk we will present the various aspects of the conceptualization of this interdisciplinary project, our approach to data collection and curation, as well as intermediate results.