5 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…
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…
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…
HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation
Jaione Bengoetxea, Mikel Zubillaga, Ekhi Azurmendi +4
In this paper we present our submission for the NorSID Shared Task as part of the 2025 VarDial Workshop (Scherrer et al., 2025), consisting of three tasks: Intent Detection, Slot F…
XNLIeu: a dataset for cross-lingual NLI in Basque
Maite Heredia, Julen Etxaniz, Muitze Zulaika +3
XNLI is a popular Natural Language Inference (NLI) benchmark widely used to evaluate cross-lingual Natural Language Understanding (NLU) capabilities across languages. In this paper…