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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 1481–1490 of 1773 papers

TitleStatusHype
Training Neural Machine Translation using Word Embedding-based Loss—0
NMT-based Cross-lingual Document Embeddings—0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMTCode0
Recurrent Stacking of Layers for Compact Neural Machine Translation Models—0
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning—0
Testing Untestable Neural Machine Translation: An Industrial Case—0
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine TranslationCode0
Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association—0
Learning Distributional Token Representations from Visual Features—0
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