The Linguistics Olympiads: Towards a New Corpus for Linguistics Research?

Title:The Linguistics Olympiads: Towards a New Corpus for Linguistics Research?

Abstract:Linguistics olympiad problems (LOPs) are a category of self-sufficient puzzles consisting of a scaled-down corpus representative of certain linguistic phenomena, from which the solver must deduce a primitive set of rules of the language and then translate a new set of elements. The linguistics olympiads (LOs) have become a worldwide phenomenon with 43 different territories taking part in the International Linguistics Olympiad (IOL) 2025. While the typology and solving strategies of LOPs have been analysed, their scientific facet and connections to academic linguistics have yet to be explored. LOPs are directly connected to many linguistic fields, e.g., linguistic typology, linguistic relativity, and linguistics fieldwork. Recently, LOPs have become a research focus as benchmarks for large language models, thus highlighting their usefulness in computational linguistics. Nevertheless, they have not yet been integrated into mainstream linguistics research. This paper attempts to open new directions of including this particular type of puzzle in academic research by offering a structured evaluation of LOPs as linguistic data sources and proposes criteria for their responsible use in academic research. Starting from a set of over 1800 LOPs, this study critically examines the potential of LOPs as a novel corpus for linguistics research by discussing their strengths and limitations as tools, as well as the areas of linguistics into which these problems could fit. This work forms the foundation for a broader initiative aimed at bridging the gap between LOs and academic linguistics, by establishing a robust theoretical framework for LOPs.

Accepted for publication in LingBaW. Linguistics Beyond and Within (Volume 12, 2026)

Computation and Language (cs.CL)

arXiv:2606.14257 [cs.CL]

(or arXiv:2606.14257v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2606.14257 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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