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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 871–880 of 1773 papers

TitleStatusHype
Machine Translation of Novels in the Age of TransformerCode0
Decoding and Diversity in Machine Translation—0
Master Thesis: Neural Sign Language Translation by Learning Tokenization—0
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data—0
Inference-only sub-character decomposition improves translation of unseen logographic characters—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English—0
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial AttacksCode0
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning—0
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation—0
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