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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

Showing 421430 of 1773 papers

TitleStatusHype
Benchmarking Machine Translation with Cultural AwarenessCode0
Phrase-Based & Neural Unsupervised Machine TranslationCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corporaCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Pronoun Translation in English-French Machine Translation: An Analysis of Error TypesCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
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