Smotrom tvoja på ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study

  • Russenorsk, a pidgin language historically used in trade interactions between Russian and Norwegian speakers, represents a unique linguistic phenomenon. In this paper, we attempt to analyze its lexicon using modern large language models (LLMs), based on surviving literary sources. We construct a structured dictionary of the language, grouped by synonyms and word origins. Subsequently, we use this dictionary to formulate hypotheses about the core principles of word formation and grammatical structure in Russenorsk and show which hypotheses generated by large language models correspond to the hypotheses previously proposed ones in the academic literature. We also develop a “reconstruction” translation agent that generates hypothetical Russenorsk renderings of contemporary Russian and Norwegian texts.

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Metadaten
Author:Alexey Tikhonov, Sergei Shteiner, Anna Bykova, Ivan P. Yamshchikov
URN:urn:nbn:de:bvb:863-opus-62808
DOI:https://doi.org/10.18653/v1/2025.findings-acl.934
Parent Title (English):Findings of the Association for Computational Linguistics: ACL 2025
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, PA, USA
Document Type:Conference Proceeding
Language:English
Year of publication:2025
Release Date:2025/09/23
Tag:LLM for language reconstruction; dead languages; pidgin languages
Pages/Size:11
First Page:18156
Last Page:18166
Institutes and faculty:Institute / Center for Artificial Intelligence (CAIRO)
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