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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 Robustness of Neural Machine Translation with Multi-task LearningCode0
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019—0
Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation Task—0
Parallel Corpus Filtering Based on Fuzzy String Matching—0
Tilde's Machine Translation Systems for WMT 2019—0
NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19—0
IITP-MT System for Gujarati-English News Translation Task at WMT 2019—0
LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs—0
The NiuTrans Machine Translation Systems for WMT19—0
DFKI-NMT Submission to the WMT19 News Translation Task—0
Incorporating Source Syntax into Transformer-Based Neural Machine Translation—0
JU-Saarland Submission to the WMT2019 English--Gujarati Translation Shared Task—0
Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation—0
The LAIX Systems in the BEA-2019 GEC Shared Task—0
English-Czech Systems in WMT19: Document-Level Transformer—0
Joey NMT: A Minimalist NMT Toolkit for NovicesCode0
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models—0
Learning the Relation between Code Features and Code Transforms with Structured PredictionCode0
Structure-Invariant Testing for Machine TranslationCode1
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges—0
Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns—0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
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