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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 731–740 of 1773 papers

TitleStatusHype
Code-switching pre-training for neural machine translation—0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation—0
Improving Machine Translation of Rare and Unseen Word Senses—0
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation—0
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering—0
Ask Language Model to Clean Your Noisy Translation Data—0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax—0
Improving Zero-shot Translation with Language-Independent Constraints—0
Incorporating Source-Side Phrase Structures into Neural Machine Translation—0
A Large-Scale Study of Machine Translation in the Turkic Languages—0
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