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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 1131–1140 of 1773 papers

TitleStatusHype
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Sentiment Aware Neural Machine Translation—0
Masked Language Model ScoringCode1
Document-level Neural Machine Translation with Associated Memory Network—0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
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
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