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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
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Improving Neural Machine Translation through Phrase-based Forced Decoding—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Improving Neural Machine Translation with Neural Syntactic Distance—0
Improved Neural Machine Translation using Side Information—0
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