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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 1676–1700 of 1773 papers

TitleStatusHype
Finding the Optimal Vocabulary Size for Neural Machine TranslationCode0
Kyoto-NMT: a Neural Machine Translation implementation in ChainerCode0
Deep Neural Machine Translation with Weakly-Recurrent UnitsCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
Deconvolution-Based Global Decoding for Neural Machine TranslationCode0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachCode0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Recurrent Attention for Neural Machine TranslationCode0
Debugging Neural Machine TranslationsCode0
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference ResolutionCode0
Neural Sign Language TranslationCode0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Cultural and Geographical Influences on Image Translatability of Words across LanguagesCode0
The paradox of the compositionality of natural language: a neural machine translation case studyCode0
RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to SpansCode0
Sockeye: A Toolkit for Neural Machine TranslationCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Tree-to-Sequence Attentional Neural Machine TranslationCode0
Ngambay-French Neural Machine Translation (sba-Fr)Code0
Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch TrainingCode0
Character-level Chinese-English Translation through ASCII EncodingCode0
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