Document-level context for neural machine translation (NMT) is crucial t...
Compared to sentence-level systems, document-level neural machine transl...
The integration of language models for neural machine translation has be...
Currently, in speech translation, the straightforward approach - cascadi...
Encoder-decoder architecture is widely adopted for sequence-to-sequence
...
Checkpoint averaging is a simple and effective method to boost the
perfo...
Machine learning in medical imaging during clinical routine is impaired ...
Context-aware neural machine translation (NMT) is a promising direction ...
In medical imaging, technical progress or changes in diagnostic procedur...
Prominently used in support vector machines and logistic regressions, ke...
Reducing application runtime, scaling parallel applications to higher nu...