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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
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Findings of the Third Workshop on Neural Generation and Translation—0
Multitask Learning For Different Subword Segmentations In Neural Machine Translation—0
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed—0
Controlling the Output Length of Neural Machine Translation—0
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts—0
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
On the Importance of Word Boundaries in Character-level Neural Machine TranslationCode0
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