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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 1471–1480 of 1773 papers

TitleStatusHype
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
Named-Entity Tagging and Domain adaptation for Better Customized Translation—0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
A Deep Learning Based Approach to Transliteration—0
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU—0
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