research
∙
06/07/2023
Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation
The vast majority of work on gender in MT focuses on 'unambiguous' input...
share
research
∙
04/15/2021
First the worst: Finding better gender translations during beam search
Neural machine translation inference procedures like beam search generat...
research
∙
04/14/2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
The development of deep learning techniques has allowed Neural Machine T...
research
∙
11/12/2020
Inference-only sub-character decomposition improves translation of unseen logographic characters
Neural Machine Translation (NMT) on logographic source languages struggl...
research
∙
10/11/2020
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task
The 2020 WMT Biomedical translation task evaluated Medline abstract tran...
research
∙
10/11/2020
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It
Neural Machine Translation (NMT) has been shown to struggle with grammat...
research
∙
05/04/2020
Using Context in Neural Machine Translation Training Objectives
We present Neural Machine Translation (NMT) training using document-leve...
research
∙
04/09/2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
Training data for NLP tasks often exhibits gender bias in that fewer sen...
research
∙
06/13/2019
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles
The 2019 WMT Biomedical translation task involved translating Medline ab...
research
∙
06/11/2019
Cued@wmt19:ewc&lms
Two techniques provide the fabric of the Cambridge University Engineerin...
research
∙
06/02/2019
Domain Adaptive Inference for Neural Machine Translation
We investigate adaptive ensemble weighting for Neural Machine Translatio...
research
∙
08/29/2018
An Operation Sequence Model for Explainable Neural Machine Translation
We propose to achieve explainable neural machine translation (NMT) by ch...
research
∙
05/01/2018
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT
We explore strategies for incorporating target syntax into Neural Machin...
research
∙
03/20/2018
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
SGNMT is a decoding platform for machine translation which allows paring...
research
∙
07/21/2017