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Found 8 papers, 1 papers with code
Neural Speech Translation at AppTek
This work describes AppTek’s speech translation pipeline that includes strong state-of-the-art automatic speech recognition (ASR) and neural machine translation (NMT) components.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Generalizing Back-Translation in Neural Machine Translation
Back-translation - data augmentation by translating target monolingual data - is a crucial component in modern neural machine translation (NMT).
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes
We address for the first time unsupervised training for a translation task with hundreds of thousands of vocabulary words.
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018
This paper describes the unsupervised neural machine translation (NMT) systems of the RWTH Aachen University developed for the English ↔ German news translation task of the \textit{EMNLP 2018 Third Conference on Machine Translation} (WMT 2018).
The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018
In total we improve by 6. 8{\%} BLEU over our last year{'}s submission and by 4. 8{\%} BLEU over the winning system of the 2017 German→English task.
