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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
On the Sparsity of Neural Machine Translation Models—0
Iterative Domain-Repaired Back-Translation—0
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate LayersCode0
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications—0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Multi-task Learning for Multilingual Neural Machine Translation—0
Adversarial Grammatical Error Correction—0
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
A Mixed Learning Objective for Neural Machine Translation—0
Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on InuktitutCode0
Multi-Reward based Reinforcement Learning for Neural Machine Translation—0
Constraining the Transformer NMT Model with Heuristic Grid Beam Search—0
Translation vs Post-editing of NMT Output: Insights from the English-Greek language pair—0
Rewriter-Evaluator Framework for Neural Machine Translation—0
Target Conditioning for One-to-Many Generation—0
Softmax Tempering for Training Neural Machine Translation Models—0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation—0
Code-switching pre-training for neural machine translation—0
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation—0
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation—0
Document-level Neural Machine Translation with Document Embeddings—0
Graph-to-Sequence Neural Machine Translation—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
Combining Word and Character Vector Representation on Neural Machine Translation—0
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