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 BIO...

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Bibliographic Details
Published inProcesamiento del Lenguaje Natural Vol. 67; p. 277
Main Authors Álvarez Mellado, Elena, Espinosa Anke, Luis, Gonzalo Arroyo, Julio, Lignos, Constatine, Porta Zamorano, Jordi
Format Journal Article
LanguageEnglish
Published Jaén Sociedad Española para el Procesamiento del Lenguaje Natural 01.09.2021
Subjects
Borrowing
Computer science
Language
Lexicography
Linguistics
Natural language processing
Spanish language
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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 in-formation would benefit from taking advantage of current NLP trends.
ISSN:1135-5948
1989-7553
DOI:10.26342/2021-67-24