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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 761–770 of 1773 papers

TitleStatusHype
Correcting Length Bias in Neural Machine Translation—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Improved English to Russian Translation by Neural Suffix Prediction—0
Improved English to Hindi Multimodal Neural Machine Translation—0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Incorporating Source-Side Phrase Structures into Neural Machine Translation—0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
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