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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 291–300 of 1773 papers

TitleStatusHype
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches—0
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
Byte-based Multilingual NMT for Endangered LanguagesCode0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
Linguistically-Motivated Yorùbá-English Machine Translation—0
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
Speeding up Transformer Decoding via an Attention Refinement NetworkCode0
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
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