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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 876–900 of 1773 papers

TitleStatusHype
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItCode0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
On Long-Tailed Phenomena in Neural Machine TranslationCode1
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation—0
Self-Paced Learning for Neural Machine TranslationCode0
Token-level Adaptive Training for Neural Machine TranslationCode1
Shallow-to-Deep Training for Neural Machine TranslationCode1
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications—0
Multi-task Learning for Multilingual Neural Machine Translation—0
On the Sub-Layer Functionalities of Transformer Decoder—0
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate LayersCode0
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine TranslationCode1
Iterative Domain-Repaired Back-Translation—0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Adversarial Grammatical Error Correction—0
On the Sparsity of Neural Machine Translation Models—0
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
A Mixed Learning Objective for Neural Machine Translation—0
Multi-Reward based Reinforcement Learning for Neural Machine Translation—0
Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on InuktitutCode0
Constraining the Transformer NMT Model with Heuristic Grid Beam Search—0
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