7 papers
SalamandraTA at WMT 2026 Terminology Shared Task: Hard Examples Are Better Teachers
Xixian Liao, Maite Melero
Terminology-aware translation asks for more than a correct translation: the output must use the exact terms a glossary prescribes. The standard recipe, fine-tuning on glossary-anno…
ACADATA: Parallel Dataset of Academic Data for Machine Translation
Iñaki Lacunza, Javier Garcia Gilabert, Francesca De Luca Fornaciari +4
We present ACADATA, a high-quality parallel dataset for academic translation, that consists of two subsets: ACAD-TRAIN, which contains approximately 1.5 million author-generated pa…
From SALAMANDRA to SALAMANDRATA: BSC Submission for WMT25 General Machine Translation Shared Task
Javier Garcia Gilabert, Xixian Liao, Severino Da Dalt +8
In this paper, we present the SALAMANDRATA family of models, an improved iteration of SALAMANDRA LLMs (Gonzalez-Agirre et al., 2025) specifically trained to achieve strong performa…
MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation
Javier García Gilabert, Carlos Escolano, Audrey Mash +2
We introduce MT-LENS, a framework designed to evaluate Machine Translation (MT) systems across a variety of tasks, including translation quality, gender bias detection, added toxic…
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
Aleix Sant, Carlos Escolano, Audrey Mash +2
This paper studies gender bias in machine translation through the lens of Large Language Models (LLMs). Four widely-used test sets are employed to benchmark various base LLMs, comp…
Investigating the translation capabilities of Large Language Models trained on parallel data only
Javier García Gilabert, Carlos Escolano, Aleix Sant Savall +4
In recent years, Large Language Models (LLMs) have demonstrated exceptional proficiency across a broad spectrum of Natural Language Processing (NLP) tasks, including Machine Transl…
A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models
Francesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios +1
In this work, we explore idiomatic language processing with Large Language Models (LLMs). We introduce the Idiomatic language Test Suite IdioTS, a new dataset of difficult examples…