Software Open Access
Source code and data accompanying the paper «An automated framework for fast cognate detection and Bayesian phylogenetic inference in computational historical linguistics»
Taraka Rama;
Johann-Mattis List
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
(2.5 MB)
| Name | Size | |
|---|---|---|
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fast-cognate-detection.zip
md5:5bff524d6baf80ed3030e1405a9b6cd5 |
2.5 MB | Download |
182
44
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 182 | 182 |
| Downloads | 44 | 45 |
| Data volume | 110.8 MB | 113.4 MB |
| Unique views | 168 | 168 |
| Unique downloads | 42 | 43 |
Indexed in
- Publication date:
- June 3, 2019
- DOI:
-
- Keyword(s):
- historical linguistics computational linguistics cognate detection phylogenetic reconstruction
- Grants:
-
European Commission:
- CALC - Computer-Assisted Language Comparison: Reconciling Computational and Classical Approaches in Historical Linguistics (715618)
- Meeting:
- 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), 2019
- Related identifiers:
- Supplement to
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International