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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 971–980 of 1773 papers

TitleStatusHype
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation—0
Document-level Neural Machine Translation with Document Embeddings—0
Graph-to-Sequence Neural Machine Translation—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
Combining Word and Character Vector Representation on Neural Machine Translation—0
Transformer based Multilingual document Embedding model—0
Revisiting Low Resource Status of Indian Languages in Machine Translation—0
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020—0
Data Weighted Training Strategies for Grammatical Error Correction—0
Neural Machine Translation with Error CorrectionCode0
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