Search Results for author:
Found 5 papers, 0 papers with code
On Target Representation in Continuous-output Neural Machine Translation
We explore pretrained embeddings and also introduce knowledge transfer from the discrete Transformer model using embeddings in Euclidean and non-Euclidean spaces.
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation
Continuous-output neural machine translation (CoNMT) replaces the discrete next-word prediction problem with an embedding prediction.
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition
Data processing is an important step in various natural language processing tasks.
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer
Pivot-based neural machine translation (NMT) is commonly used in low-resource setups, especially for translation between non-English language pairs.
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
Complex natural language applications such as speech translation or pivot translation traditionally rely on cascaded models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
