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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 1021–1030 of 1773 papers

TitleStatusHype
Illinois Japanese English News Translation for WMT 2021—0
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
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
Improving Autoregressive NMT with Non-Autoregressive Model—0
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