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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 331–340 of 1773 papers

TitleStatusHype
Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator—0
Code Translation with Compiler Representations—0
Probing Causes of Hallucinations in Neural Machine Translations—0
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Finetuning a Kalaallisut-English machine translation system using web-crawled data—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output—0
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