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
Venues:
EMNLP | SIGTYP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
36–42
Language:
URL:
https://www.aclweb.org/anthology/2020.sigtyp-1.5
DOI:
10.18653/v1/2020.sigtyp-1.5
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.sigtyp-1.5.pdf