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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 931–940 of 1773 papers

TitleStatusHype
Improving Autoregressive NMT with Non-Autoregressive Model—0
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages—0
NAIST's Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task—0
Octanove Labs' Japanese-Chinese Open Domain Translation System—0
Findings of the Fourth Workshop on Neural Generation and Translation—0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team—0
The HW-TSC Video Speech Translation System at IWSLT 2020—0
Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
Compressing Neural Machine Translation Models with 4-bit Precision—0
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