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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 861870 of 1773 papers

TitleStatusHype
Towards Enhancing Faithfulness for Neural Machine Translation0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval0
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog0
Token Drop mechanism for Neural Machine TranslationCode0
Sentence Boundary Augmentation For Neural Machine Translation Robustness0
Human-Paraphrased References Improve Neural Machine TranslationCode1
Revisiting Modularized Multilingual NMT to Meet Industrial Demands0
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