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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 371–380 of 1773 papers

TitleStatusHype
Cultural and Geographical Influences on Image Translatability of Words across LanguagesCode0
An Effective Approach to Unsupervised Machine TranslationCode0
Benchmarking Machine Translation with Cultural AwarenessCode0
Morphological and Language-Agnostic Word Segmentation for NMTCode0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Multi-Class Grammatical Error Detection for Correction: A Tale of Two SystemsCode0
Multi-Domain Neural Machine Translation with Word-Level Domain Context DiscriminationCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-TranslationCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
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