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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 1011–1020 of 1773 papers

TitleStatusHype
Learning Source Phrase Representations for Neural Machine Translation—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation—0
Universal Vector Neural Machine Translation With Effective Attention—0
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
Modeling Discourse Structure for Document-level Neural Machine Translation—0
Enhanced back-translation for low resource neural machine translation using self-training—0
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?—0
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-EnglishCode0
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