Audrey Mash

According to our database, Audrey Mash authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Proceedings of the Tenth Conference on Machine Translation, 2025

MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation.

Javier García Gilabert, Carlos Escolano, Audrey Mash, Xixian Liao, Maite Melero

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Culture-aware machine translation: the case study of low-resource language pair Catalan-Chinese.

Xixian Liao, Carlos Escolano, Audrey Mash, Francesca de Luca Fornaciari, Javier García Gilabert, Miguel Claramunt Argote, Ella Bohman, Maite Melero

Proceedings of Machine Translation Summit XX: MTSummit 2025, 2025

Investigating the translation capabilities of Large Language Models trained on parallel data only.

Javier García Gilabert, Carlos Escolano, Aleix Sant, Francesca de Luca Fornaciari, Audrey Mash, Xixian Liao, Maite Melero

Proceedings of Machine Translation Summit XX: MTSummit 2025, 2025

Overview of MultiClinSum Task at BioASQ 2025: Evaluation of Clinical Case Summarization Strategies for Multiple Languages: Data, Evaluation, Resources and Results.

Miguel Rodríguez-Ortega, Eduard Rodriguez-López, Salvador Lima-López, Carlos Escolano, Audrey Mash, Maite Melero, Lorenzo Pratesi, Laura Vigil-Gimenez, Leticia Fernandez-Lopez, Eulàlia Farré-Maduell, Martin Krallinger

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

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

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, Audrey Mash, Xixian Liao, Maite Melero

Proceedings of the Ninth Conference on Machine Translation, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024