Severino Da Dalt — accepted AI-conference papers

2024

A CURATEd CATalog: Rethinking the Extraction of Pretraining Corpora for Mid-Resourced Languages

Jorge Palomar-Giner, Jose Javier Saiz, Ferran Espuña, Mario Mina, Severino Da Dalt, Joan Llop +5

COLING 2024main

We present and describe two language resources in this paper: CATalog 1.0, the largest text corpus in Catalan to date, and CURATE (Corpus Utility for RAting TExt), a modular, parallelizable pipeline used for processing and scoring documents based on text quality that we have optimised to run in High…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗

2024

FLOR: On the Effectiveness of Language Adaptation

Severino Da Dalt, Joan Llop, Irene Baucells, Marc Pamies, Yishi Xu, Aitor Gonzalez-Agirre +1

COLING 2024main

Large language models have amply proven their great capabilities, both in downstream tasks and real-life settings. However, low- and mid-resource languages do not have access to the necessary means to train such models from scratch, and often have to rely on multilingual models despite being underre…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗