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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 1626–1650 of 1773 papers

TitleStatusHype
Neural Machine Translation with Source Dependency Representation—0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation—0
Feature-rich NMT and SMT post-edited corpora for productivity and evaluation tasks with a subset of MQM-annotated data—0
Towards Decoding as Continuous Optimisation in Neural Machine Translation—0
Towards Compact and Fast Neural Machine Translation Using a Combined Method—0
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
Look-ahead Attention for Generation in Neural Machine Translation—0
Handling Homographs in Neural Machine Translation—0
The Helsinki Neural Machine Translation SystemCode0
Neural machine translation for low-resource languages—0
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search—0
Memory-augmented Neural Machine Translation—0
Translating Phrases in Neural Machine Translation—0
Neural Machine Translation with Word Predictions—0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
Analyzing Neural MT Search and Model Performance—0
Dynamic Data Selection for Neural Machine TranslationCode0
Detecting Untranslated Content for Neural Machine Translation—0
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English—0
Regularization techniques for fine-tuning in neural machine translation—0
Learning Language Representations for Typology PredictionCode0
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation—0
Machine Translation at Booking.com: Journey and Lessons Learned—0
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