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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 1281–1290 of 1773 papers

TitleStatusHype
Shared-Private Bilingual Word Embeddings for Neural Machine Translation—0
Unsupervised Pivot Translation for Distant Languages—0
Robust Neural Machine Translation with Doubly Adversarial Inputs—0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions—0
Exploiting Sentential Context for Neural Machine Translation—0
Lattice-Based Transformer Encoder for Neural Machine Translation—0
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
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