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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 1026–1050 of 1773 papers

TitleStatusHype
Sequence-to-Dependency Neural Machine Translation—0
Shared-Private Bilingual Word Embeddings for Neural Machine Translation—0
Sheffield Submissions for WMT18 Multimodal Translation Shared Task—0
Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages—0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team—0
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network—0
Similar Language Translation for Catalan, Portuguese and Spanish Using Marian NMT—0
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation—0
Simple, Scalable Adaptation for Neural Machine Translation—0
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models—0
SimulSpeech: End-to-End Simultaneous Speech to Text Translation—0
Simultaneous Multi-Pivot Neural Machine Translation—0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production—0
SMDT: Selective Memory-Augmented Neural Document Translation—0
SMT reranked NMT—0
SMT reranked NMT (2)—0
SMT versus NMT: Preliminary comparisons for Irish—0
SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences—0
Sockeye 2: A Toolkit for Neural Machine Translation—0
Sockeye 3: Fast Neural Machine Translation with PyTorch—0
Softmax Tempering for Training Neural Machine Translation Models—0
Sometimes We Want Translationese—0
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