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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 16261650 of 1773 papers

TitleStatusHype
Towards Compact and Fast Neural Machine Translation Using a Combined Method0
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning0
Look-ahead Attention for Generation in Neural Machine Translation0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation0
Handling Homographs in Neural Machine Translation0
The Helsinki Neural Machine Translation SystemCode0
Neural machine translation for low-resource languages0
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search0
Translating Phrases in Neural Machine Translation0
Memory-augmented Neural Machine Translation0
Neural Machine Translation with Word Predictions0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning0
Dynamic Data Selection for Neural Machine TranslationCode0
Analyzing Neural MT Search and Model Performance0
Detecting Untranslated Content for Neural Machine Translation0
Regularization techniques for fine-tuning in neural machine translation0
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English0
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation0
Learning Language Representations for Typology PredictionCode0
Machine Translation at Booking.com: Journey and Lessons Learned0
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
Modeling Target-Side Inflection in Neural Machine Translation0
Improved Neural Machine Translation with a Syntax-Aware Encoder and DecoderCode0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation0
Sentence Embedding for Neural Machine Translation Domain Adaptation0
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