Imputing typological values via phylogenetic inference

Gerhard Jäger


Abstract
This paper describes a workflow to impute missing values in a typological database, a sub- set of the World Atlas of Language Structures (WALS). Using a world-wide phylogeny de- rived from lexical data, the model assumes a phylogenetic continuous time Markov chain governing the evolution of typological val- ues. Data imputation is performed via a Max- imum Likelihood estimation on the basis of this model. As back-off model for languages whose phylogenetic position is unknown, a k- nearest neighbor classification based on geo- graphic distance is performed.
Anthology ID:
2020.sigtyp-1.5
Volume:
Proceedings of the Second Workshop on Computational Research in Linguistic Typology
Month:
November
Year:
2020
Address:
Online
Editors:
Ekaterina Vylomova, Edoardo M. Ponti, Eitan Grossman, Arya D. McCarthy, Yevgeni Berzak, Haim Dubossarsky, Ivan Vulić, Roi Reichart, Anna Korhonen, Ryan Cotterell
Venue:
SIGTYP
SIG:
SIGTYP
Publisher:
Association for Computational Linguistics
Note:
Pages:
36–42
Language:
URL:
https://aclanthology.org/2020.sigtyp-1.5
DOI:
10.18653/v1/2020.sigtyp-1.5
Bibkey:
Cite (ACL):
Gerhard Jäger. 2020. Imputing typological values via phylogenetic inference. In Proceedings of the Second Workshop on Computational Research in Linguistic Typology, pages 36–42, Online. Association for Computational Linguistics.
Cite (Informal):
Imputing typological values via phylogenetic inference (Jäger, SIGTYP 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.sigtyp-1.5.pdf
Video:
 https://slideslive.com/38939793
Code
 gerhardjaeger/emnlp2020