Danielle Saunders

Orcid: 0000-0002-7943-3102

According to our database1, Danielle Saunders authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Domain adapted machine translation: What does catastrophic forgetting forget and why?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation.
CoRR, 2023

2022
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey.
J. Artif. Intell. Res., 2022

Domain Adaptation for Neural Machine Translation.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

First the Worst: Finding Better Gender Translations During Beam Search.
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.
Ethics Inf. Technol., 2021

2020
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It.
CoRR, 2020

Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

Inference-only sub-character decomposition improves translation of unseen logographic characters.
Proceedings of the 7th Workshop on Asian Translation, 2020

Using Context in Neural Machine Translation Training Objectives.
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
CUED@WMT19: EWC&LMs.
Proceedings of the Fourth Conference on Machine Translation, 2019

UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles.
Proceedings of the Fourth Conference on Machine Translation, 2019

Domain Adaptive Inference for Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
An Operation Sequence Model for Explainable Neural Machine Translation.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation.
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.
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.
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.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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