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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 241–250 of 1773 papers

TitleStatusHype
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip TranslationCode0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Learning Multilingual Sentence Representations with Cross-lingual Consistency RegularizationCode0
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
Learning to Remember Translation History with a Continuous CacheCode0
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation DataCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
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