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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 581–590 of 1773 papers

TitleStatusHype
Domain Control for Neural Machine Translation—0
Domain adapted machine translation: What does catastrophic forgetting forget and why?—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 2020—0
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020—0
Domain Adaptation of Document-Level NMT in IWSLT19—0
Boosting Neural Networks to Decompile Optimized Binaries—0
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet—0
Domain Adaptation for NMT via Filtered Iterative Back-Translation—0
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