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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 16011625 of 1773 papers

TitleStatusHype
SMT reranked NMT0
CUNI NMT System for WAT 2017 Translation Tasks0
Comparison of SMT and NMT trained with large Patent Corpora: Japio at WAT20170
Improving Neural Machine Translation through Phrase-based Forced Decoding0
Evaluating Discourse Phenomena in Neural Machine Translation0
Unsupervised Neural Machine TranslationCode0
Paying Attention to Multi-Word Expressions in Neural Machine TranslationCode0
The IIT Bombay English-Hindi Parallel Corpus0
Enhanced Neural Machine Translation by Learning from DraftCode0
Dynamic Oracle for Neural Machine Translation in Decoding Phase0
Toward a full-scale neural machine translation in production: the Booking.com use case0
OpenNMT: Open-source Toolkit for Neural Machine Translation0
Refining Source Representations with Relation Networks for Neural Machine Translation0
Information-Propogation-Enhanced Neural Machine Translation by Relation Model0
Comparative Evaluation of NMT with Established SMT Programs0
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators0
Feature-rich NMT and SMT post-edited corpora for productivity and evaluation tasks with a subset of MQM-annotated data0
A New Methodology to Maximize the Strength of SMT and NMT0
Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing0
University of Rochester WMT 2017 NMT System Submission0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation0
Towards Decoding as Continuous Optimisation in Neural Machine Translation0
Neural Machine Translation with Source Dependency Representation0
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