mlsanityData to 7 Oct 2026

Robust Language Identification for Romansh Varieties

arXiv 2603.15969 ↗First posted 16 Mar 2026cs.CLcited by 2

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Abstract (arXiv)

The Romansh language has several regional varieties, called idioms, which sometimes have limited mutual intelligibility. Despite this linguistic diversity, there has been a lack of documented efforts to build a language identification (LID) system that can distinguish between these idioms. Since Romansh LID should also be able to recognize Rumantsch Grischun, a supra-regional variety that combines elements of several idioms, this makes for a novel and interesting classification problem. In this paper, we present a LID system for Romansh idioms based on an SVM approach. We evaluate our model on a newly curated benchmark across two domains and find that it reaches an average in-domain accuracy of 97%, enabling applications such as idiom-aware spell checking or machine translation. Our classifier is publicly available.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 7 of its 22 references that are in the map. First posted on arXiv 16 Mar 2026.

Builds on

7 of 22 references.

References · 7

  1. 2023SwissBERT: The Multilingual Language Model for Switzerlandcited by 8
  2. 2020Linguistic Resources for Bhojpuri, Magahi and Maithili: Statistics about them, their Similarity Estimates, and Baselines for Three Applicationscited by 6
  3. 2023Fumbling in Babel: An Investigation into ChatGPT's Language Identification Abilitycited by 6
  4. 2021SIGTYP 2021 Shared Task: Robust Spoken Language Identificationcited by 5
  5. 2025ConLID: Supervised Contrastive Learning for Low-Resource Language Identificationcited by 5
  6. 2025Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Valladercited by 4
  7. 2025The Mediomatix Corpus: Parallel Data for Romansh Language Varieties via Comparable Schoolbookscited by 3

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