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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

Showing 12311240 of 1773 papers

TitleStatusHype
Towards Making the Most of BERT in Neural Machine TranslationCode0
Adabot: Fault-Tolerant Java Decompiler0
UdS Submission for the WMT 19 Automatic Post-Editing Task0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19Code0
Exploring the Robustness of NMT Systems to Nonsensical Inputs0
Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the "Wrong" Predictions0
Neural Machine Translation: Hindi-Nepali0
When a `sport' is a person and other issues for NMT of novels0
Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach0
LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs0
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