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05/03/2022
Training Mixed-Domain Translation Models via Federated Learning
Training mixed-domain translation models is a complex task that demands ...
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04/18/2022
Dynamic Position Encoding for Transformers
Recurrent models have been dominating the field of neural machine transl...
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12/12/2021
Communication-Efficient Federated Learning for Neural Machine Translation
Training neural machine translation (NMT) models in federated learning (...
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05/28/2021
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
In Natural Language Processing (NLP), finding data augmentation techniqu...
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04/17/2021
Robust Embeddings Via Distributions
Despite recent monumental advances in the field, many Natural Language P...
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04/17/2018
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Recently, neural machine translation (NMT) has emerged as a powerful alt...
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04/17/2018
Investigating Backtranslation in Neural Machine Translation
A prerequisite for training corpus-based machine translation (MT) system...
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05/11/2017