1 code implementation • NAACL (SIGTYP) 2022 • Kai Hartung, Gerhard Jäger, Sören Gröttrup, Munir Georges
In this study we address the question to what extent syntactic word-order traits of different languages have evolved under correlation and whether such dependencies can be found universally across all languages or restricted to specific language families. To do so, we use logistic Brownian Motion under a Bayesian framework to model the trait evolution for 768 languages from 34 language families.
no code implementations • NAACL (SIGTYP) 2022 • Gerhard Jäger
The system described here is a re-implementation of the tools used in the mentioned paper, adapted to the current task.
1 code implementation • EMNLP (SIGTYP) 2020 • Gerhard Jäger
This paper describes a workflow to impute missing values in a typological database, a sub- set of the World Atlas of Language Structures (WALS).
1 code implementation • 5 Feb 2024 • Luise Häuser, Gerhard Jäger, Taraka Rama, Johann-Mattis List, Alexandros Stamatakis
In traditional studies on language evolution, scholars often emphasize the importance of sound laws and sound correspondences for phylogenetic inference of language family trees.
1 code implementation • 18 Mar 2021 • Gerhard Jäger, Johannes Wahle
In this article we propose a novel method to estimate the frequency distribution of linguistic variables while controlling for statistical non-independence due to shared ancestry.
1 code implementation • 21 May 2018 • Gerhard Jäger
Computational approaches to historical linguistics have been proposed since half a century.
1 code implementation • NAACL 2018 • Taraka Rama, Johann-Mattis List, Johannes Wahle, Gerhard Jäger
We evaluate the performance of state-of-the-art algorithms for automatic cognate detection by comparing how useful automatically inferred cognates are for the task of phylogenetic inference compared to classical manually annotated cognate sets.
no code implementations • 17 Feb 2018 • Gerhard Jäger
This matrix is suitable for distance-based phylogenetic inference.
no code implementations • 16 Feb 2017 • Taraka Rama, Johannes Wahle, Pavel Sofroniev, Gerhard Jäger
In this paper we explore the use of unsupervised methods for detecting cognates in multilingual word lists.