This paper presents the first large-scale meta-evaluation of machine
tra...
In deep neural network modeling, the most common practice is to stack a
...
Pre-editing is the process of modifying the source text (ST) so that it ...
In neural machine translation (NMT), monolingual data in the target lang...
Neural machine translation (NMT) models are typically trained using a so...
We propose and evaluate a novel procedure for training multiple Transfor...
Lectures translation is a case of spoken language translation and there ...
This paper proposes a novel procedure for training an encoder-decoder ba...
This paper proposes a novel multilingual multistage fine-tuning approach...
Recent work achieved remarkable results in training neural machine
trans...
This paper presents the NICT's participation to the WMT18 shared news
tr...
In Neural Machine Translation (NMT), the most common practice is to stac...