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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 921–930 of 1773 papers

TitleStatusHype
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
Data Weighted Training Strategies for Grammatical Error Correction—0
Neural Machine Translation with Error CorrectionCode0
Neural Machine Translation model for University Email Application—0
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program RepairCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
Dual Past and Future for Neural Machine Translation—0
Rewiring the Transformer with Depth-Wise LSTMs—0
Sequence Generation with Mixed RepresentationsCode1
Language-agnostic BERT Sentence EmbeddingCode1
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