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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 1226–1250 of 1773 papers

TitleStatusHype
Improving Neural Machine Translation with Pre-trained Representation—0
Recurrent Graph Syntax Encoder for Neural Machine Translation—0
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation—0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
The Transference Architecture for Automatic Post-Editing—0
Towards Making the Most of BERT in Neural Machine TranslationCode0
Adabot: Fault-Tolerant Java Decompiler—0
UdS Submission for the WMT 19 Automatic Post-Editing Task—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19Code0
Exploring the Robustness of NMT Systems to Nonsensical Inputs—0
Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the "Wrong" Predictions—0
Neural Machine Translation: Hindi-Nepali—0
When a `sport' is a person and other issues for NMT of novels—0
Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach—0
LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs—0
Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task—0
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019—0
JU-Saarland Submission to the WMT2019 English--Gujarati Translation Shared Task—0
Parallel Corpus Filtering Based on Fuzzy String Matching—0
NICT's Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task—0
NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task—0
NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19—0
Incorporating Source Syntax into Transformer-Based Neural Machine Translation—0
Improving Robustness of Neural Machine Translation with Multi-task LearningCode0
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