| 2025 | NAACL | Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs. | Aarn Galiano Jimnez, Juan Antonio Prez-Ortiz, Felipe Snchez-Martnez, Vctor M. Snchez-Cartagena |
| 2024 | EAMT | Lightweight neural translation technologies for low-resource languages. | Felipe Snchez-Martnez, Juan Antonio Prez-Ortiz, Vctor M. Snchez-Cartagena, Andrs Lou, Cristian Garca-Romero, Aarn Galiano Jimnez, Miquel Espl-Gomis |
| 2024 | NAACL | Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars. | Andrs Lou, Juan Antonio Prez-Ortiz, Felipe Snchez-Martnez, Vctor M. Snchez-Cartagena |
| 2023 | EAMT | Exploiting large pre-trained models for low-resource neural machine translation. | Aarn Galiano Jimnez, Felipe Snchez-Martnez, Vctor M. Snchez-Cartagena, Juan Antonio Prez-Ortiz |
| 2022 | EMNLP | Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation. | Miquel Espl-Gomis, Vctor M. Snchez-Cartagena, Juan Antonio Prez-Ortiz, Felipe Snchez-Martnez |
| 2021 | EMNLP | Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach. | Vctor M. Snchez-Cartagena, Miquel Espl-Gomis, Juan Antonio Prez-Ortiz, Felipe Snchez-Martnez |
| 2020 | COLING | Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation. | Vctor M. Snchez-Cartagena, Juan Antonio Prez-Ortiz, Felipe Snchez-Martnez |
| 2020 | EAMT | A multi-source approach for Breton-French hybrid machine translation. | Vctor M. Snchez-Cartagena, Mikel L. Forcada, Felipe Snchez-Martnez |
| 2020 | EAMT | An English-Swahili parallel corpus and its use for neural machine translation in the news domain. | Felipe Snchez-Martnez, Vctor M. Snchez-Cartagena, Juan Antonio Prez-Ortiz, Mikel L. Forcada, Miquel Espl-Gomis, Andrew Secker, Susie Coleman, Julie Wall |
| 2017 | EACL | A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions. | Antonio Toral, Vctor M. Snchez-Cartagena |
| 2016 | EAMT | Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian. | Vctor M. Snchez-Cartagena, Nikola Ljubesic, Filip Klubicka |
| 2014 | EAMT | An efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknknown words. | Miquel Espl-Gomis, Vctor M. Snchez-Cartagena, Felipe Snchez-Martnez, Rafael C. Carrasco, Mikel L. Forcada, Juan Antonio Prez-Ortiz |
| 2014 | LREC | Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium. | Grgoire Dtrez, Vctor M. Snchez-Cartagena, Aarne Ranta |
| 2012 | LREC | Source-Language Dictionaries Help Non-Expert Users to Enlarge Target-Language Dictionaries for Machine Translation. | Vctor M. Snchez-Cartagena, Miquel Espl-Gomis, Juan Antonio Prez-Ortiz |
| 2011 | RANLP | Enlarging Monolingual Dictionaries for Machine Translation with Active Learning and Non-Expert Users. | Miquel Espl-Gomis, Vctor M. Snchez-Cartagena, Juan Antonio Prez-Ortiz |
| 2011 | RANLP | Enriching a statistical machine translation system trained on small parallel corpora with rule-based bilingual phrases. | Vctor M. Snchez-Cartagena, Felipe Snchez-Martnez, Juan Antonio Prez-Ortiz |