Danielle Saunders

According to our database, Danielle Saunders authored at least 18 papers between 2017 and 2023.

Collaborative distances:

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

2023

Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation.

Danielle Saunders, Katrina Olsen

CoRR, 2023

2022

Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey.

Danielle Saunders

J. Artif. Intell. Res., 2022

Domain Adaptation for Neural Machine Translation.

Danielle Saunders

Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

First the Worst: Finding Better Gender Translations During Beam Search.

Danielle Saunders, Rosie Sallis, Bill Byrne

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing.

Marcus Tomalin, Bill Byrne, Shauna Concannon, Danielle Saunders, Stefanie Ullmann

Ethics Inf. Technol., 2021

2020

Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It.

Danielle Saunders, Rosie Sallis, Bill Byrne

CoRR, 2020

Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task.

Danielle Saunders, Bill Byrne

Proceedings of the Fifth Conference on Machine Translation, 2020

Inference-only sub-character decomposition improves translation of unseen logographic characters.

Danielle Saunders, Weston Feely, Bill Byrne

Proceedings of the 7th Workshop on Asian Translation, 2020

Using Context in Neural Machine Translation Training Objectives.

Danielle Saunders, Felix Stahlberg, Bill Byrne

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem.

Danielle Saunders, Bill Byrne

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

CUED@WMT19: EWC&LMs.

Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne

Proceedings of the Fourth Conference on Machine Translation, 2019

UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles.

Danielle Saunders, Felix Stahlberg, Bill Byrne

Proceedings of the Fourth Conference on Machine Translation, 2019

Domain Adaptive Inference for Neural Machine Translation.

Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

An Operation Sequence Model for Explainable Neural Machine Translation.

Felix Stahlberg, Danielle Saunders, Bill Byrne

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation.

Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne

Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

Multi-representation ensembles and delayed SGD updates improve syntax-based NMT.

Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

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

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies.

Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017