Research

My research focuses on computational historical linguistics, with particular emphasis on native South American languages and phylogenetic methods.

Current Projects

PhyloVector

Vector-based approaches to phylogenetic analysis in historical linguistics.

Uralic Language Phylogeny

Computational methods for understanding relationships within the Uralic language family.

Arawan Family Analysis

Phylogenetic study of the Arawan language family of South America.

Large Language Models in Production

Extensive work with LLMs both via APIs and locally deployed systems for linguistic analysis.

Tafl Game Programming

Computer game development inspired by chess programming techniques for ancient Nordic board games.

Publications

Journal Articles

Ngesh: a Python library for synthetic phylogenetic data
Tresoldi, Tiago
Journal of Open Source Software, 6(66):3173, 2021.

The Database of Cross-Linguistic Colexifications, reproducible analysis of cross-linguistic polysemies
Rzymski, Christoph et al.
Scientific Data, 7(1):1–12, 2020.

DAFSA: a Python library for Deterministic Acyclic Finite State Automata
Tresoldi, Tiago
Journal of Open Source Software, 5(46):1986, 2020.

CLICS2: An improved database of cross-linguistic colexifications assembling lexical data with the help of cross-linguistic data formats
List, Johann-Mattis et al.
Linguistic Typology, 22(2):277–306, 2018.

O Ulisses dos muitos retornos: por uma história do clássico
Tresoldi, Tiago
Nuntius Antiquus, 13(1):227–251, 2017.

Book Chapters

Managing Historical Linguistic Data for Computational Phylogenetics and Computer-Assisted Language Comparison
Tresoldi, Tiago et al.
In The Open Handbook of Linguistic Data Management. The MIT Press, 2022.

Talks & Presentations

Talks list to be updated

Datasets

Research datasets to be listed

Collaborations

I collaborate with researchers at various institutions, including:

  • Uppsala University (Department of Linguistics and Philology)
  • Max Planck Institute for the Science of Human History
  • Various South American universities and research centers

Research Philosophy

I am committed to:

  • Open Science: Making research data and methods openly available
  • Reproducibility: Ensuring research can be independently verified
  • Collaboration: Working across disciplines and institutions
  • Community Engagement: Involving language communities in research processes