Unmasking Biases: Exploring Gender Bias in English-Catalan Machine Translation through Tokenization Analysis and Novel Dataset. - Audrey Mash; Carlos Escolano; Aleix Sant; Maite Melero; Francesca de Luca Fornaciari (LREC/COLING, 2024)

Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora. - Aleix Sant; Daniel Bardanca; José Ramom Pichel Campos; Francesca de Luca Fornaciari; Carlos Escolano; Javier García Gilabert; Pablo Gamallo 001; Audrey Mash; Xixian Liao; Maite Melero (WMT, 2024)

Investigating the translation capabilities of Large Language Models trained on parallel data only. - Javier García Gilabert; Carlos Escolano; Aleix Sant Savall; Francesca de Luca Fornaciari; Audrey Mash; Xixian Liao; Maite Melero (CoRR, 2024)

The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs. - Aleix Sant; Carlos Escolano; Audrey Mash; Francesca de Luca Fornaciari; Maite Melero (CoRR, 2024)

MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation. - Javier García Gilabert; Carlos Escolano; Audrey Mash; Xixian Liao; Maite Melero (CoRR, 2024)

From SALAMANDRA to SALAMANDRATA: BSC Submission for WMT25 General Machine Translation Shared Task. - Javier García Gilabert; Xixian Liao; Severino Da Dalt; Ella Bohman; Audrey Mash; Francesca de Luca Fornaciari; Irene Baucells; Joan Llop; Miguel Claramunt Argote; Carlos Escolano; Maite Melero (CoRR, 2025)