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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 721–730 of 1773 papers

TitleStatusHype
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings—0
Majority Voting with Bidirectional Pre-translation For Bitext RetrievalCode0
Self-Learning for Zero Shot Neural Machine Translation—0
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked SettingsCode0
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional TaggingCode0
Meta Back-translation—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Towards Personalised and Document-level Machine Translation of Dialogue—0
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