activity
20182025
most citedAre Sounds Sound for Phylogenetic Reconstruction?

7 citations · 22 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2025

Advancing the Database of Cross-Linguistic Colexifications with New Workflows and Data

Annika Tjuka, Robert Forkel, Christoph Rzymski +1

Lexical resources are crucial for cross-linguistic analysis and can provide new insights into computational models for natural language learning. Here, we present an advanced datab…

cs.CL2024★ 3 cited

Generating Feature Vectors from Phonetic Transcriptions in Cross-Linguistic Data Formats

Arne Rubehn, Jessica Nieder, Robert Forkel +1

When comparing speech sounds across languages, scholars often make use of feature representations of individual sounds in order to determine fine-grained sound similarities. Althou…

cs.CL2024

A Computational Model for the Assessment of Mutual Intelligibility Among Closely Related Languages

Jessica Nieder, Johann-Mattis List

Closely related languages show linguistic similarities that allow speakers of one language to understand speakers of another language without having actively learned it. Mutual int…

cs.CL2024★ 7 cited

Are Sounds Sound for Phylogenetic Reconstruction?

Luise Häuser, Gerhard Jäger, Taraka Rama +2

In traditional studies on language evolution, scholars often emphasize the importance of sound laws and sound correspondences for phylogenetic inference of language family trees. H…

cs.CL2023

Representing and Computing Uncertainty in Phonological Reconstruction

Johann-Mattis List, Nathan W. Hill, Robert Forkel +1

Despite the inherently fuzzy nature of reconstructions in historical linguistics, most scholars do not represent their uncertainty when proposing proto-forms. With the increasing s…

cs.CL2023

Information-Theoretic Characterization of Vowel Harmony: A Cross-Linguistic Study on Word Lists

Julius Steuer, Badr Abdullah, Johann-Mattis List +1

We present a cross-linguistic study that aims to quantify vowel harmony using data-driven computational modeling. Concretely, we define an information-theoretic measure of harmonic…

cs.CL2023★ 3 cited

Trimming Phonetic Alignments Improves the Inference of Sound Correspondence Patterns from Multilingual Wordlists

Frederic Blum, Johann-Mattis List

Sound correspondence patterns form the basis of cognate detection and phonological reconstruction in historical language comparison. Methods for the automatic inference of correspo…

cs.CL2023★ 2 cited

Detecting Lexical Borrowings from Dominant Languages in Multilingual Wordlists

John E. Miller, Johann-Mattis List

Language contact is a pervasive phenomenon reflected in the borrowing of words from donor to recipient languages. Most computational approaches to borrowing detection treat all lan…

cs.CL2023★ 3 cited

Inference of Partial Colexifications from Multilingual Wordlists

Johann-Mattis List

The past years have seen a drastic rise in studies devoted to the investigation of colexification patterns in individual languages families in particular and the languages of the w…

cs.CL2022★ 3 cited

A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns

Johann-Mattis List, Robert Forkel, Nathan W. Hill

Computational approaches in historical linguistics have been increasingly applied during the past decade and many new methods that implement parts of the traditional comparative me…

cs.CL2018★ 1 cited

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

Taraka Rama, Johann-Mattis List, Johannes Wahle +1

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…