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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

Showing 961970 of 1773 papers

TitleStatusHype
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
FFR v1.1: Fon-French Neural Machine TranslationCode1
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation0
Universal Vector Neural Machine Translation With Effective Attention0
Modeling Discourse Structure for Document-level Neural Machine Translation0
Enhanced back-translation for low resource neural machine translation using self-training0
Norm-Based Curriculum Learning for Neural Machine TranslationCode1
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-EnglishCode0
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?0
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