用大模型复活已消亡的贸易语言罗塞诺尔克，生成其假想文本。
Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study
- 用大语言模型分析历史文献，构建罗塞诺尔克词汇结构词典。
- 验证模型生成的构词规则与学术界已有假设高度吻合。
- 开发翻译代理，可生成现代俄语/挪威语的假想罗塞诺尔克版本。
罗塞诺尔克是一种历史上在俄罗斯人与挪威人贸易交流中使用的混合语言，具有独特语言学价值。本文利用现代大型语言模型（LLMs）分析现存文学资料，构建了该语言的结构化词典，按同义词和词源分类。基于此词典，我们提出关于罗塞诺尔克构词与语法结构的核心假设，并验证大模型生成的假设与学术文献中已有理论高度一致。此外，我们开发了一个“重建”翻译代理，能够生成当代俄语与挪威语文本在罗塞诺尔克语境下的假想表达。该研究为濒危语言的数字复兴提供了新范式。
原文摘要 · Abstract (English)
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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