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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 951–975 of 1773 papers

TitleStatusHype
Tagged Back-translation Revisited: Why Does It Really Work?—0
Content Word Aware Neural Machine Translation—0
Translationese as a Language in ``Multilingual'' NMT—0
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Modeling Word Formation in English--German Neural Machine Translation—0
Uncertainty-Aware Curriculum Learning for Neural Machine Translation—0
Modeling Baroque Two-Part Counterpoint with Neural Machine TranslationCode0
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
FFR v1.1: Fon-French Neural Machine TranslationCode1
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation—0
Universal Vector Neural Machine Translation With Effective Attention—0
Modeling Discourse Structure for Document-level Neural Machine Translation—0
Enhanced back-translation for low resource neural machine translation using self-training—0
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
Neural Simultaneous Speech Translation Using Alignment-Based Chunking—0
Variational Neural Machine Translation with Normalizing Flows—0
The Unreasonable Volatility of Neural Machine Translation ModelsCode0
Character-level Transformer-based Neural Machine Translation—0
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation—0
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