publications

Papers

2025

1. Annotating and Inferring Compositional Structures Across Languages

   Arne Rubehn, Christoph Rzymski, Luca Ciucci, Kellen Parker van Dam, Alžběta Kučerová, Katja Bocklage, David Snee, Abishek Stephen, and Johann-Mattis List

   arXiv preprint [not peer-reviewed]

   arXiv Bib PDF Code DOI

   @article{rubehn2025annotating,
     author = {Rubehn, Arne and Rzymski, Christoph and Ciucci, Luca and van Dam, Kellen Parker and Kučerová, Alžběta and Bocklage, Katja and Snee, David and Stephen, Abishek and List, Johann-Mattis},
     year = {2025},
     title = {Annotating and Inferring Compositional Structures Across Languages},
     journal = {arXiv preprint [not peer-reviewed]},
     doi = {https://doi.org/10.48550/arXiv.2503.01625}
   }

2. Unstable Grounds for Beautiful Trees? Testing the Robustness of Concept Translations in the Compilation of Multilingual Wordlists

   David Snee, Luca Ciucci, Arne Rubehn, Kellen Parker van Dam, and Johann-Mattis List

   arXiv preprint [not peer-reviewed]

   arXiv Bib PDF Code DOI

   @article{snee2025unstable,
     author = {Snee, David and Ciucci, Luca and Rubehn, Arne and van Dam, Kellen Parker and List, Johann-Mattis},
     year = {2025},
     title = {Unstable Grounds for Beautiful Trees? Testing the Robustness of Concept Translations in the Compilation of Multilingual Wordlists},
     journal = {arXiv preprint [not peer-reviewed]},
     doi = {https://doi.org/10.48550/arXiv.2503.00464}
   }

3. Partial Colexifications Improve Concept Embeddings

   Arne Rubehn and Johann-Mattis List

   arXiv preprint [not peer-reviewed]

   arXiv Bib PDF Code DOI

   @article{rubehn2025partial,
     author = {Rubehn, Arne and List, Johann-Mattis},
     year = {2025},
     title = {Partial Colexifications Improve Concept Embeddings},
     journal = {arXiv preprint [not peer-reviewed]},
     doi = {https://doi.org/10.48550/arXiv.2502.09743}
   }

2024

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

   Arne Rubehn, Jessica Nieder, Robert Forkel, and Johann-Mattis List

   In Proceedings of the Society for Computation in Linguistics (SCiL) 2024, Irvine, CA

   arXiv Bib PDF Code DOI Poster

   @inproceedings{rubehn2024generating,
     title = {Generating Feature Vectors from Phonetic Transcriptions in Cross-Linguistic Data Formats},
     author = {Rubehn, Arne and Nieder, Jessica and Forkel, Robert and List, Johann-Mattis},
     booktitle = {Proceedings of the Society for Computation in Linguistics (SCiL) 2024},
     volume = {7},
     number = {1},
     pages = {205-216},
     year = {2024},
     location = {Irvine, CA},
     doi = {https://doi.org/10.7275/scil.2144},
   }

2. Extracting Tuscan phonetic correspondences from dialect pronunciations automatically

   Arne Rubehn, Simonetta Montemagni, and John Nerbonne

   Language Dynamics and Change

   Bib PDF Code DOI

   @article{rubehn2024automatically,
     title = {Extracting Tuscan phonetic correspondences from dialect pronunciations automatically},
     author = {Rubehn, Arne and Montemagni, Simonetta and Nerbonne, John},
     year = {2024},
     journal = {Language Dynamics and Change},
     volume = {14},
     number = {1},
     pages = {1-33},
     publisher = {Brill},
     address = {Leiden, The Netherlands},
     doi = {10.1163/22105832-bja10034},
   }

Theses

2022

1. A feature-based neural model of sound change informed by global lexicostatistical data

   Arne Rubehn

   University of Tübingen

   MA thesis, Computational Linguistics, supervised by Dr. Johannes Dellert and Prof. Dr. Gerhard Jäger.

   Bib PDF DOI URL

   @mastersthesis{rubehn2022feature,
     title = {{A feature-based neural model of sound change informed by global lexicostatistical data}},
     author = {Rubehn, Arne},
     year = {2022},
     school = {University of Tübingen},
     url = {http://hdl.handle.net/10900/152716},
     doi = {10.15496/publikation-94055},
     note = {MA thesis, Computational Linguistics, supervised by Dr. Johannes Dellert and Prof. Dr. Gerhard Jäger.}
   }

2019

1. Exploring the viability of polysemy networks for automated cognate detection under semantic shift

   Arne Rubehn

   University of Tübingen

   BA thesis, General Linguistics, supervised by Dr. Johannes Dellert.

   Bib PDF

   @thesis{rubehn2019exploring,
     title = {{Exploring the viability of polysemy networks for automated cognate detection under semantic shift}},
     author = {Rubehn, Arne},
     year = {2019},
     school = {University of Tübingen},
     note = {BA thesis, General Linguistics, supervised by Dr. Johannes Dellert.}
   }

Talks

2025

1. Concept Embeddings: Applying graph embedding techniques to colexification networks

   Arne Rubehn

   Bridging the Gap: Unifying approaches to linguistic evolution, University of Zurich, Switzerland. 2025/03/14.

2024

1. Word Embeddings

   Arne Rubehn

   Methoden To Go (Ringvorlesung), University of Passau, Germany. 2024/11/19.
2. Automatically Segmenting Words into Morphemes: A Detailed Comparison of Unsupervised Approaches Applied to Monolingual Wordlists from Different Languages

   Arne Rubehn

   21st International Congress of Linguistics, Poznań, Poland. 2024/09/11.

Miscellaneous

2022

1. Erweiterung der durch den Sprachassistenten generierten Antworten durch Bezugnahme auf relevante Objekte im Auto

   [Enhancing answers generated by the dialogue system by referencing relevant objects in the car]

   Christian Drescher, Teresa Botschen, and Arne Rubehn

   Patent registered at the German, European, and American Patent Offices.

   URL