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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 711–720 of 1773 papers

TitleStatusHype
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—0
Leveraging Neural Machine Translation for Word AlignmentCode0
Contextual Text Embeddings for Twi—0
PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine TranslationCode0
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages—0
Repairing Pronouns in Translation with BERT-Based Post-Editing—0
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
Token-wise Curriculum Learning for Neural Machine Translation—0
Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language—0
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora—0
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