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Look Harder: A Neural Machine Translation Model with Hard Attention
Soft-attention based Neural Machine Translation (NMT) models have achieved promising results on several translation tasks.
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning
In the meta-learning phase, the parameters of the model are exposed to vast amounts of speech transcripts (e. g., English ASR) and text translations (e. g., English-German MT).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
Our analysis shows that for a given number of quantization bits, each block of Transformer contributes to translation quality and inference computations in different manners.
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
Recent work in simultaneous machine translation is often trained with conventional full sentence translation corpora, leading to either excessive latency or necessity to anticipate as-yet-unarrived words, when dealing with a language pair whose word orders significantly differ.
