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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 721–730 of 1773 papers

TitleStatusHype
Improving Context-aware Neural Machine Translation with Target-side Context—0
CREAMT: Creativity and narrative engagement of literary texts translated by translators and NMT—0
Improving Character-level Japanese-Chinese Neural Machine Translation with Radicals as an Additional Input Feature—0
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation—0
Crafting Adversarial Examples for Neural Machine Translation—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
Coverage Embedding Models for Neural Machine Translation—0
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
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