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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 161–170 of 1773 papers

TitleStatusHype
Sparse Communication for Distributed Gradient DescentCode1
Sequence-Level Knowledge DistillationCode1
Improving Neural Machine Translation Models with Monolingual DataCode1
Neural Machine Translation of Rare Words with Subword UnitsCode1
Effective Approaches to Attention-based Neural Machine TranslationCode1
Asymptotically Smaller Encodings for Graph Problems and Scheduling—0
ConECT Dataset: Overcoming Data Scarcity in Context-Aware E-Commerce MT—0
Enhancing Meme Token Market Transparency: A Multi-Dimensional Entity-Linked Address Analysis for Liquidity Risk Evaluation—0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation—0
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