{"paper_id":"2a3369a5-495b-4b7e-b7ff-8cecea5fc486","body_text":"This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.\nYou must log in to post a comment.\nThere are no comments or no comments have been made public for this article.\nThis is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.\nAdd a Comment\nYou must log in to post a comment.\nComments\nThere are no comments or no comments have been made public for this article.\nOne of the most specific features of the human language faculty is its intrinsic spatio-temporal dynamic, as reflected in languages' characteristic mode of extra-genomic evolution. Understanding what has emerged in the hominin lineage therefore requires capturing this dynamic and the diversity of languages and structures that it generates. In this chapter, we review the state of the art in probabilistic models designed for this task. Current approaches tend to excel either in capturing temporal or spatial processes. We summarize these and describe avenues for integrating them, illustrated by a case study on the evolution of sound inventories over time and space.\nhttps://doi.org/10.32942/X28P7N\nSocial and Behavioral Sciences\nPublished: 2024-07-04 17:00\nCC BY Attribution 4.0 International\nData and Code Availability Statement:\nhttps://github.com/chundrac/disp-phon\nLanguage:\nEnglish","source_license":"CC-BY-4.0","license_restricted":false}