Metraipolis › archive › dc_5faa042ed697

QuanLing: Cross-Branch Validation of Language Distance Quantification on Western Romance — arXiv:2610.08851

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.08851
License (as archived): CC0-1.0
Archived: 2026-10-08T11:10:12.754Z
SHA-256 of the archived text: 571969447c815bf2709c4fe1117fdaee599c9573e2375b67fdd664c3adaa0524
Stable URL of this page: https://metraipolis.com/documento/dc_5faa042ed697

How to cite

QuanLing: Cross-Branch Validation of Language Distance Quantification on Western Romance — arXiv:2610.08851 — arXiv (en), https://arxiv.org/abs/2610.08851 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_5faa042ed697 (Metraipolis archive dc_5faa042ed697, sha256 571969447c815bf2709c4fe1117fdaee599c9573e2375b67fdd664c3adaa0524)

BibTeX

@misc{dc5faa042ed697,
  title = {QuanLing: Cross-Branch Validation of Language Distance Quantification on Western Romance — arXiv:2610.08851},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.08851},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_5faa042ed697; sha256 571969447c815bf2709c4fe1117fdaee599c9573e2375b67fdd664c3adaa0524},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.08851. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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 (English anchor, quadruplet construction). Using 150 four-language parallel sentences, we compute LaBSE sentence embedding distances, tokenization fragmentation rates from four monolingual BERT tokenizers, and mBERT masked language model mutual intelligibility. Results show that Portuguese--Spanish are closest (LaBSE distance 0.0229), French--Italian most distant (0.0338); LaBSE and mBERT rankings agree on 4 of 6 pairs, confirming cross-model robustness. Western Romance shows a wider absolute distance span than North Germanic (0.011 vs. 0.008) but comparable relative ratios (1.48 vs. 1.67), consistent with longer divergence time. French exhibits notably higher MLM predictability (36.12% top-1 accuracy vs. 29.28% for Italian), reflecting its orthography--phonology decoupling. This cross-branch validation provides further evidence for QuanLing's generalizability beyond a single language branch.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2610.08851 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-08T10:14:06.016Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).