An unsupervised language-internal feature-scoring model detects loanwords in six Indo-European languages with F1 0.67, rising to 0.73 when cross-linguistic wordlists are added.
Overview of ADoBo at IberLEF 2025: Automatic Detection of Anglicisms in Spanish
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abstract
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.
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cs.CL 1years
2025 1verdicts
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Feature-Refined Unsupervised Model for Loanword Detection
An unsupervised language-internal feature-scoring model detects loanwords in six Indo-European languages with F1 0.67, rising to 0.73 when cross-linguistic wordlists are added.