List of Publications (2019-2022)
See the openAIRE GoURMET page for further details on these publications.
| Authors | Title | Venue | Download | Date | Note |
| Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez | The Universitat d’Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 | WMT | 2019 | ||
| Duygu Ataman | On the Importance of Word Boundaries in Character-level Neural Machine Translation | WNGT | 2019 | ||
| Joost Bastings, Wilker Aziz, and Ivan Titov | Interpretable Neural Predictions with Differentiable Binary Variables | ACL | 2019 | ||
| Rachel Bawden, Nikolay Bogoychev, Ulrich Germann, Roman Grundkiewicz, Faheem Kirefu, Antonio Valerio Miceli Barone, Alexandra Birch | The University of Edinburgh's Submissions to the WMT19 News Translation Task | WMT | 2019 | ||
| Bryan Eikema and Wilker Aziz | Auto-Encoding Variational Neural Machine Translation | RepL4NLP | 2019 | ||
| Arturo Oncevay, Barry Haddow and Alexandra Birch | Towards a Multi-view Language Representation: A Shared Space of Discrete and Continuous Language Features | TyP-NLP | 2019 | Best Paper | |
| Loïc Barrault , Ondřej Bojar |,Marta R. Costa-jussà , Christian Federmann , Mark Fishel , Yvette Graham , Barry Haddow ,Matthias Huck , Philipp Koehn , Shervin Malmasi , Christof Monz , Mathias Müller , Santanu Pal |, Matt Post and Marcos Zampieri | Findings of the 2019 Conference on Machine Translation (WMT19) | Conference on Machine Translation (WMT19) | 2019 | ||
| Carolina Scarton, Mikel L. Forcada, Miquel Esplà-Gomis, and Lucia Specia | Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality | 16th International Workshop on Spoken Language Translation (IWSLT 2019) | 2019 | ||
| Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, and André F. T. Martins | Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity | NeurIPS | 2020 | Spotlight paper | |
| Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Jaume Zaragoza-Bernabeu, Felipe Sánchez-Martínez | Bicleaner at WMT 2020: Universitat d'Alacant-Prompsit's submission to the parallel corpus filtering shared task | WMT | 2020 | ||
| Víctor Manuel Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez | Understanding the effect of morphological tags in under-resourced neural machine translation | COLING | 2020 | ||
| Christos Baziotis, Barry Haddow, Alexandra Birch | Language Model Prior for Low-Resource Neural Machine Translation | EMNLP | 2020 | ||
| Arturo Oncevay, Barry Hadddow, Alexandra Birch | Bridging linguistic typology and multilingual machine translation with multi-view language representations | EMNLP | 2020 | ||
| Rachel Bawden, Biao Zhang, Lisa Yankovskaya, Andre Tättar and Matt Post | A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing | EMNLP Findings | 2020 | ||
| Bryan Eikema and Wilker Aziz | Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation | Coling | 2020 | Best Paper | |
| Susie Coleman, Andrew Secker, Rachel Bawden, Barry Haddow and Alexandra Birch | Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media | IWLTP | 2020 | ||
| António Lopes, M. Amin Farajian, Rachel Bawden, Michael Zhang and André T. Martins | Document-level Neural MT: A Systematic Comparison | EAMT | 2020 | ||
| Radina Dobreva, Jie Zhou and Rachel Bawden | Document Sub-structure in Neural Machine Translation | LREC | 2020 | ||
| Duygu Ataman, Wilker Aziz, Alexandra Birch | A Latent Morphology Model for Open-Vocabulary Neural Machine Translation | ICLR | 2020 | ||
| Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen and Alexandra Birch | Toward Making the Most of Context in Neural Machine Translation | IJCAI | 2020 | ||
| Andrea Zaninello, Alexandra Birch | MultiWord Expression Aware Neural Machine Translation | LREC | 2020 | ||
| Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich | Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation | ACL | 2020 | ||
| Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Mikel L. Forcada, Miquel Esplà-Gomis, Andrew Secker, Susie Coleman, Julie Wall | An English-Swahili parallel corpus and its use for neural machine translation in the news domain | EAMT | 2020 | ||
| Víctor M. Sánchez-Cartagena, Mikel L. Forcada, Felipe Sánchez-Martínez | A multi-source approach for Breton-French hybrid machine translation | EAMT | 2020 | ||
| Duygu Ataman, Wilker Aziz, Alexandra Birch | A Latent Morphology Model for Open-Vocabulary Neural Machine Translation | ICLR | 2020 | ||
| Alexandra Birch, Barry Haddow, Antonio Valerio Miceli-Barone, Jindřich Helcl, Jonas Waldendorf, Felipe Sánchez‐Martínez, Mikel L Forcada, Víctor Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Miquel Esplà-Gomis, Wilker Aziz, Lina Murady, Sevi Sariisik, Peggy van der Kreeft, Kay Macquarrie | Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months | MTSummit | 2021 | ||
| Víctor M.Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez | Rethinking data augmentation for low-resource neural machine translation: a multi-task learning approach | EMNLP | 2021 | ||
| F Arthaud, R Bawden, A Birch | Few-shot learning through contextual data augmentation | EACL | 2021 | ||
| Christos Baziotis, Ivan Titov, Alexandra Birch, Barry Haddow | Exploring Unsupervised Pretraining Objectives for Machine Translation | ACL (Findings) | 2021 | ||
| Pinzhen Chen, Jindřich Helcl, Ulrich Germann, Laurie Burchell, Nikolay Bogoychev, Antonio Valerio Miceli Barone, Jonas Waldendorf, Alexandra Birch, Kenneth Heafield | The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task | WMT | 2021 | ||
| Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondřej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussa, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri | Findings of the 2021 Conference on Machine Translation | WMT (Findings) | 2021 | ||
| N Moghe, M Steedman, A Birch | Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking | EMNLP | 2021 | ||
| Biao Zhang, Ivan Titov, Rico Sennrich | On Sparsifying Encoder Outputs in Sequence-to-Sequence Models | ACL | 2021 | ||
| Elena Voita, Rico Sennrich, Ivan Titov | Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation | ACL | 2021 | ||
| Elena Voita, Rico Sennrich, Ivan Titov | Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT | EMNLP | 2021 | ||
| Antonio Valerio Miceli-Barone, Alexandra Birch, Rico Sennrich | Distributionally Robust Recurrent Decoders with Random Network Distillation | RepNLP | 2022 | ||
| Biao Zhang, Barry Haddow, Rico Sennrich | Revisiting End-to-End Speech-to-Text Translation From Scratch | ICML | 2022 | ||
| Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, Jindřich Helcl, Alexandra Birch | Survey of Low-Resource Machine Translation | Computational Linguistics | 2022 | ||
| Peggy van der Kreeft, Sevi Sariisik, Wilker Aziz, Alexandra Birch, Felipe Sánchez-Martínez | GoURMET – Machine Translation for Low-Resourced Languages | EAMT | 2022 |
List of public deliverables
| Deliverable Number | Deliverable Title | Download | Due Month |
| D6.1 | Factsheet | PDF | 1 |
| D1.1 | Survey of relevant low-resource languages | 4 | |
| D6.2 | Web portal | 4 | |
| D5.1 | Evaluation Plan | 6 | |
| D5.2 | Use Cases and Requirements | 6 | |
| D7.2 | Data Management Plan | 6 | |
| D1.2 | Initial progress report on data gathering and augmentation | 18 | |
| D1.3 | Initial release of project data | 18 | |
| D2.1 | Initial progress report on modelling morphological structure | 18 | |
| D3.1 | Initial progress report on learning structural models | 18 | |
| D4.1 | Initial progress report on transfer learning | 18 | |
| D5.3 | Initial integration report | 18 | |
| D5.4 | Initial evaluation report | 18 | |
| D6.3 | Interim Dissemination and Exploitation Report | 18 | |
| D7.3 | Internal progress and planning report | 18 | |
| Initial Periodic Report | 20 | ||
| D5.5 | Final progress report on integration | 42 | |
| D1.4 | Final progress report on data gathering and augmentation | 42 | |
| D4.2 | Final report on transfer learning | 42 | |
| D1.5 | Final release of project data | 42 | |
| D2.2 | Final report on modelling morphological structure | 42 | |
| D3.2 | Final report on learning structural models | 42 | |
| D5.6 | Final progress report on evaluation | 42 | |
| D6.4 | Final Dissemination and Exploitation Report | 42 |