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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 1151–1175 of 1773 papers

TitleStatusHype
When and Why is Document-level Context Useful in Neural Machine Translation?Code0
Machine Translation for Machines: the Sentiment Classification Use Case—0
Interrogating the Explanatory Power of Attention in Neural Machine TranslationCode0
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation—0
On the use of BERT for Neural Machine Translation—0
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation—0
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs—0
Self-Induced Curriculum Learning in Neural Machine Translation—0
Context Based Machine Translation With Recurrent Neural Network For English-Amharic Translation—0
Efficiently Reusing Old Models Across Languages via Transfer Learning—0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages—0
Simple, Scalable Adaptation for Neural Machine Translation—0
Pointer-based Fusion of Bilingual Lexicons into Neural Machine TranslationCode0
Multilingual Neural Machine Translation for Zero-Resource LanguagesCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
Neural Machine Translation with 4-Bit Precision and Beyond—0
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction—0
Dynamic Fusion: Attentional Language Model for Neural Machine Translation—0
Getting Gender Right in Neural Machine Translation—0
Combining SMT and NMT Back-Translated Data for Efficient NMT—0
Investigating Multilingual NMT Representations at Scale—0
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative FlowCode1
Multi-Granularity Self-Attention for Neural Machine Translation—0
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation—0
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