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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 211–220 of 1773 papers

TitleStatusHype
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency RegularizationCode1
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Unified Model Learning for Various Neural Machine Translation—0
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems—0
Neural Machine Translation Models with Attention-Based Dropout LayerCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesCode0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions—0
Neural Machine Translation For Low Resource LanguagesCode0
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