Published June 3, 2019 | Version 1.0
Software Open

Source code and data accompanying the paper «An automated framework for fast cognate detection and Bayesian phylogenetic inference in computational historical linguistics»

  • 1. University of North Texas
  • 2. Max Planck Institute for the Science of Human History

Description

This package offers data and source code for the paper:

Rama, T. and List, J.-M. (2019): An automatic framework for fast cognate detection and Bayesian phylogenetic inference in computational historical linguistics. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. URL: https://www.aclweb.org/anthology/papers/P/P19/P19-1627/

Files

fast-cognate-detection.zip

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Additional details

Related works

Is supplement to
10.17617/2.3149452 (DOI)

Funding

CALC – Computer-Assisted Language Comparison: Reconciling Computational and Classical Approaches in Historical Linguistics 715618
European Commission