mlsanityData to 7 Oct 2026

Overview of ADoBo at IberLEF 2025: Automatic Detection of Anglicisms in Spanish

arXiv 2507.21813 ↗First posted 29 Jul 2025cs.CLcited by 4

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Abstract (arXiv)

This paper summarizes the main findings of ADoBo 2025, the shared task on anglicism identification in Spanish proposed in the context of IberLEF 2025. Participants of ADoBo 2025 were asked to detect English lexical borrowings (or anglicisms) from a collection of Spanish journalistic texts. Five teams submitted their solutions for the test phase. Proposed systems included LLMs, deep learning models, Transformer-based models and rule-based systems. The results range from F1 scores of 0.17 to 0.99, which showcases the variability in performance different systems can have for this task.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 6 of its 44 references that are in the map. First posted on arXiv 29 Jul 2025.

Builds on

6 of 44 references.

References · 6

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2024The Llama 3 Herd of Modelscited by 14,192
  3. 2020LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluationcited by 92
  4. 2023Spanish Pre-trained BERT Model and Evaluation Datacited by 81
  5. 2021The futility of STILTs for the classification of lexical borrowings in Spanishcited by 6
  6. 2023Overview of GUA-SPA at IberLEF 2023: Guarani-Spanish Code Switching Analysiscited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

  1. 2025Are Language Models Borrowing-Blind? A Multilingual Evaluation of Loanword Identification across 10 Languagescited by 2
  2. 2025Feature-Refined Unsupervised Model for Loanword Detectioncited by 0
  3. 2026Towards a Diagnostic and Predictive Evaluation Methodology for Sequence Labeling Taskscited by 0
  4. 2026Do LLMs Know What Luxembourgish Borrows? Probing Lexical Neology in Low-Resource Multilingual Modelscited by 0