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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 711–720 of 1773 papers

TitleStatusHype
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Improved English to Hindi Multimodal Neural Machine Translation—0
Improved English to Russian Translation by Neural Suffix Prediction—0
Improved Neural Machine Translation using Side Information—0
Correcting Length Bias in Neural Machine Translation—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
Ask Language Model to Clean Your Noisy Translation Data—0
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