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Paper · arXiv

QuanLing: Cross-Branch Validation of Language Distance Quantification on Western Romance

Quantifying language distance among closely related languages remains a core challenge in quantitative linguistics. Our previous work [1] introduced QuanLing (Quantitative Linguistics via Pretrained Language Models), a quantitative framework combining language distance metrics (sentence embedding distance, tokenization fragmentation rate) with language property analysis (MLM prediction probability), validated on North Germanic (Danish, Norwegian Bokmål, Swedish). This paper extends QuanLing to Western Romance--French, Portuguese, Spanish, Italian--testing cross-branch applicability with the same metric family and aggregation protocol as our North Germanic study, adapted for four languages...

AuthorsYiping Bai
Primary categorycs.CL
Published3 October 2026
Last updated at source3 October 2026
cs.CLcs.AI
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