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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 931–940 of 1773 papers

TitleStatusHype
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews—0
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog—0
Sentence Boundary Augmentation For Neural Machine Translation Robustness—0
Token Drop mechanism for Neural Machine TranslationCode0
Revisiting Modularized Multilingual NMT to Meet Industrial Demands—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Diving Deep into Context-Aware Neural Machine Translation—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
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