| 2024 | EMNLP | Domain adapted machine translation: What does catastrophic forgetting forget and why? | Danielle Saunders, Steve DeNeefe |
| 2022 | ACL | First the Worst: Finding Better Gender Translations During Beam Search. | Danielle Saunders, Rosie Sallis, Bill Byrne |
| 2022 | EAMT | Domain Adaptation for Neural Machine Translation. | Danielle Saunders |
| 2020 | ACL | Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. | Danielle Saunders, Bill Byrne |
| 2020 | ACL | Using Context in Neural Machine Translation Training Objectives. | Danielle Saunders, Felix Stahlberg, Bill Byrne |
| 2019 | ACL | Domain Adaptive Inference for Neural Machine Translation. | Danielle Saunders, Felix Stahlberg, Adri de Gispert, Bill Byrne |
| 2018 | ACL | Multi-representation ensembles and delayed SGD updates improve syntax-based NMT. | Danielle Saunders, Felix Stahlberg, Adri de Gispert, Bill Byrne |
| 2018 | AMTA | Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. | Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne |
| 2018 | EMNLP | An Operation Sequence Model for Explainable Neural Machine Translation. | Felix Stahlberg, Danielle Saunders, Bill Byrne |
| 2017 | EMNLP | SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. | Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne |
| 2017 | ICASSP | Morph-to-word transduction for accurate and efficient automatic speech recognition and keyword search. | Anton Ragni, Danielle Saunders, P. Zahemszky, J. Vasilakes, Mark J. F. Gales, Kate M. Knill |