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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 991–1000 of 1773 papers

TitleStatusHype
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—0
Compressing Neural Machine Translation Models with 4-bit Precision—0
SimulSpeech: End-to-End Simultaneous Speech to Text Translation—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Improving Document-Level Neural Machine Translation with Domain Adaptation—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
Translationese as a Language in ``Multilingual'' NMT—0
NAIST's Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task—0
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages—0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team—0
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