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This paper summarizes the main findings of the ADoBo 2021 shared task,proposed in the context of IberLef 2021. In this task, we invited participantsto detect lexical borrowings (coming mostly from English) in Spanish newswiretexts. This task was framed as a sequence classification problem using BIOencoding. We provided participants with an annotated corpus of lexicalborrowings which we split into training, development and test splits. Wereceived submissions from 4 teams with 9 different system runs overall. Theresults, which range from F1 scores of 37 to 85, suggest that this is achallenging task, especially when out-of-domain or OOV words are considered,and that traditional methods informed with lexicographic information wouldbenefit from taking advantage of current NLP trends.

Overview of ADoBo 2021: Automatic Detection of Unassimilated Borrowings in the Spanish Press