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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 741–750 of 1773 papers

TitleStatusHype
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting—0
Ask Language Model to Clean Your Noisy Translation Data—0
Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language—0
Improving Neural Machine Translation through Phrase-based Forced Decoding—0
Incorporating translation quality estimation into Chinese-Korean neural machine translation—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Improving Neural Machine Translation with Neural Syntactic Distance—0
A Large-Scale Study of Machine Translation in the Turkic Languages—0
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