4 papers · 1 filter
BERnaT: Basque Encoders for Representing Natural Textual Diversity
Ekhi Azurmendi, Joseba Fernandez de Landa, Jaione Bengoetxea +5
Language models depend on massive text corpora that are often filtered for quality, a process that can unintentionally exclude non-standard linguistic varieties, reduce model robus…
Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque
Oscar Sainz, Naiara Perez, Julen Etxaniz +9
Instructing language models with user intent requires large instruction datasets, which are only available for a limited set of languages. In this paper, we explore alternatives to…
EuskañolDS: A Naturally Sourced Corpus for Basque-Spanish Code-Switching
Maite Heredia, Jeremy Barnes, Aitor Soroa
Code-switching (CS) remains a significant challenge in Natural Language Processing (NLP), mainly due a lack of relevant data. In the context of the contact between the Basque and S…
Conditioning LLMs to Generate Code-Switched Text
Maite Heredia, Gorka Labaka, Jeremy Barnes +1
Code-switching (CS) is still a critical challenge in Natural Language Processing (NLP), due to the limited availability of large-scale, diverse CS datasets for robust training and…