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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 1141–1150 of 1773 papers

TitleStatusHype
Controlling the Output Length of Neural Machine Translation—0
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty—0
On the Importance of Word Boundaries in Character-level Neural Machine TranslationCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Novel Applications of Factored Neural Machine Translation—0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation—0
On Leveraging the Visual Modality for Neural Machine Translation—0
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