Recent work in multilingual translation advances translation quality
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Is bias amplified when neural machine translation (NMT) models are optim...
The scarcity of parallel data is a major obstacle for training high-qual...
Transformer based models are the modern work horses for neural machine
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Quality estimation aims to measure the quality of translated content wit...
Most neural machine translation systems are built upon subword units
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We explore training attention-based encoder-decoder ASR for low-resource...
Standard neural machine translation (NMT) systems operate primarily on w...
This paper introduces a new open source platform for end-to-end speech
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We present a new end-to-end architecture for automatic speech recognitio...