mlsanityData to 14 Oct 2026

LuxBorrow: From Pompier to Pompjee, Tracing Borrowing in Luxembourgish

arXiv 2603.10789 ↗First posted 11 Mar 2026cs.CLcited by 1

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Abstract (arXiv)

We present LuxBorrow, a borrowing-first analysis of Luxembourgish (LU) news spanning 27 years (1999-2025), covering 259,305 RTL articles and 43.7M tokens. Our pipeline combines sentence-level language identification (LU/DE/FR/EN) with a token-level borrowing resolver restricted to LU sentences, using lemmatization, a collected loanword registry, and compiled morphological and orthographic rules. Empirically, LU remains the matrix language across all documents, while multilingual practice is pervasive: 77.1% of articles include at least one donor language and 65.4% use three or four. Breadth does not imply intensity: median code-mixing index (CMI) increases from 3.90 (LU+1) to only 7.00 (LU+3), indicating localized insertions rather than balanced bilingual text. Domain and period summaries show moderate but persistent mixing, with CMI rising from 6.1 (1999-2007) to a peak of 8.4 in 2020. Token-level adaptations total 25,444 instances and exhibit a mixed profile: morphological 63.8%, orthographic 35.9%, lexical 0.3%. The most frequent individual rules are orthographic, such as on->oun and eur->er, while morphology is collectively dominant. Diachronically, code-switching intensifies, and morphologically adapted borrowings grow from a small base. French overwhelmingly supplies adapted items, with modest growth for German and negligible English. We advocate borrowing-centric evaluation, including borrowed token and type rates, donor entropy over borrowed items, and assimilation ratios, rather than relying only on document-level mixing indices.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 12 of its 46 references that are in the map. First posted on arXiv 11 Mar 2026.

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12 of 46 references.

References · 12

  1. 2023AlignScore: Evaluating Factual Consistency with a Unified Alignment Functioncited by 288
  2. 2020GLUECoS : An Evaluation Benchmark for Code-Switched NLPcited by 102
  3. 2020LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluationcited by 93
  4. 2023An Open Dataset and Model for Language Identificationcited by 50
  5. 2021Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Textcited by 18
  6. 2019Subword-Level Language Identification for Intra-Word Code-Switchingcited by 12
  7. 2021The futility of STILTs for the classification of lexical borrowings in Spanishcited by 6
  8. 2022Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modelingcited by 6
  9. 2024Entropy and type-token ratio in gigaword corporacited by 6
  10. 2024Neural Text Normalization for Luxembourgish using Real-Life Variation Datacited by 6
  11. 2022Borrowing or Codeswitching? Annotating for Finer-Grained Distinctions in Language Mixingcited by 5
  12. 2024Self-Consistent Decoding for More Factual Open Responsescited by 3

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