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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 911–920 of 1773 papers

TitleStatusHype
Variational Neural Machine Translation with Normalizing Flows—0
Variational Recurrent Neural Machine Translation—0
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications—0
Visualizing and Understanding Neural Machine Translation—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
What Level of Quality can Neural Machine Translation Attain on Literary Text?—0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
What Role Does BERT Play in the Neural Machine Translation Encoder?—0
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation—0
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation—0
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