This is an outdated version published on January 21, 2022. Read the most recent version.

First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach

List of Authors

  1. Abbie Hantgan ,  
  2. Hiba Babiker ,  
  3. Johann-Mattis List
Article Authors & roles Authors Peer review record Peer review Metrics
Cite

Abstract

Bangime is a language isolate, which has not been proven to be genealogically related to any other language family, spoken in Central-Eastern Mali. Its speakers, the Bangande, claim affiliation with the Dogon languages and speakers that surround them throughout a cliff range known as the Bandiagara Escarpment. However, recent genetic research has shown that the Bangande are genetically distant from the Dogon and other groups. Furthermore, the Bangande people represent a genetic isolate. Despite the geographic isolation of the Bangande people, evidence of language contact is apparent in the Bangime language. We find a plethora of shared vocabulary with neighboring Atlantic, Dogon, Mande, and Songhai language groups. To address the problem of when and whence this vocabulary emerged in the language, we use a computer-assisted, multidisciplinary approach to investigate layers of contact and inheritance in Bangime. We start from an automated comparison of lexical data from languages belonging to different language families in order to obtain a first account on potential borrowing candidates in our sample. In a second step, we use specific interfaces to refine and correct the computational findings. The revised sample is then investigated quantitatively and qualitatively by focusing on vocabularies shared exclusively between specific languages. We couch our results within archeological and historical research from Central-Eastern Mali more generally and propose a scenario in which the Bangande formed part of the expansive Mali Empire that encompassed most of West Africa from the 13 th to the 16 th centuries. We consider our methods to represent a novel approach to the investigation of a language and population isolate from multiple perspectives using innovative computer-assisted technologies.

Corresponding author
Abbie Hantgan
0000-0002-1970-8776
Grant information

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No’s 715618 and 758232). The genetic work was funded by the Max Planck Society through the Department of Linguistic and Cultural Evolution at the MPI for the Science of Human History.

Copyright
© 2022 Abbie Hantgan (Corresponding Author, Co-Author); Hiba Babiker (Co-Author); Johann-Mattis List (Co-Author) Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

First version published
Latest version published

Comments

Authors & roles

Abbie Hantgan

Langage, Langues et Cultures d'Afrique (LLACAN, UMR 8135), Centre national de la recherche scientifique (CNRS) and l’Institut National des Langues et Civilisations Orientales (INALCO), Paris, France

Roles
Corresponding Author, Co-Author, Conceptualization, Formal Analysis, Investigation, Supervision, Writing – Original Draft Preparation, Writing – Review & Editing
0000-0002-1970-8776

Hiba Babiker

Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Jena, Germany

Roles
Co-Author, Formal Analysis, Investigation, Methodology, Resources, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing
0000-0001-7947-285X

Johann-Mattis List

Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany

Roles
Co-Author, Data Curation, Formal Analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing
0000-0003-2133-8919

Downloads over the last 12 months:

Cited by

via Crossref

View citing articles