Approaching Peak Ground Truth

no code implementations • 31 Dec 2022 • Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia Wagner, Rami Al-Maskari, Emilia Gryska, Mihail Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern Menze, Marie Piraud

Machine learning models are typically evaluated by computing similarity with reference annotations and trained by maximizing similarity with such.

Phylogenetic typology

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.

Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics?

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.

Fast and unsupervised methods for multilingual cognate clustering

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.

Clustering