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

This paper summarizes the main findings of the ADoBo 2021 shared task, proposed in the context of IberLef 2021. In this task, we invited participants to detect lexical borrowings (coming mostly from English) in Spanish newswire texts. This task was framed as a sequence classification problem using B...

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Published inarXiv.org
Main Authors Elena Álvarez Mellado, Luis Espinosa Anke, Julio Gonzalo Arroyo, Lignos, Constantine, Jordi Porta Zamorano
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 29.10.2021
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Summary:This paper summarizes the main findings of the ADoBo 2021 shared task, proposed in the context of IberLef 2021. In this task, we invited participants to detect lexical borrowings (coming mostly from English) in Spanish newswire texts. This task was framed as a sequence classification problem using BIO encoding. We provided participants with an annotated corpus of lexical borrowings which we split into training, development and test splits. We received submissions from 4 teams with 9 different system runs overall. The results, which range from F1 scores of 37 to 85, suggest that this is a challenging task, especially when out-of-domain or OOV words are considered, and that traditional methods informed with lexicographic information would benefit from taking advantage of current NLP trends.
ISSN:2331-8422