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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 421–430 of 1773 papers

TitleStatusHype
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag—0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Can We Generate Shellcodes via Natural Language? An Empirical StudyCode1
Data Scaling Laws in NMT: The Effect of Noise and Architecture—0
The Ecological Footprint of Neural Machine Translation SystemsCode0
Learning How to Translate North Korean through South Korean—0
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine TranslationCode1
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
Document-level Neural Machine Translation Using Dependency RST Structure—0
On Synthetic Data for Back Translation—0
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