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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 1161–1170 of 1773 papers

TitleStatusHype
Training Mixed-Domain Translation Models via Federated Learning—0
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)—0
Training Neural Machine Translation using Word Embedding-based Loss—0
Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation—0
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation—0
Efficiently Reusing Old Models Across Languages via Transfer Learning—0
Transformer based Multilingual document Embedding model—0
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task—0
Rewiring the Transformer with Depth-Wise LSTMs—0
Transformer with Syntactic Position Encoding for Machine Translation—0
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