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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 1301–1325 of 1773 papers

TitleStatusHype
Neural Machine Translation for Code Generation—0
Neural Machine Translation for Low Resource Languages using Bilingual Lexicon Induced from Comparable Corpora—0
Neural machine translation for low-resource languages—0
Neural Machine Translation for Low-Resource Languages: A Survey—0
Neural Machine Translation for Malayalam Paraphrase Generation—0
Neural Machine Translation for Sinhala-English Code-Mixed Text—0
Neural Machine Translation for South Africa's Official Languages—0
Neural Machine Translation for translating into Croatian and Serbian—0
NMT-based Cross-lingual Document Embeddings—0
Neural Machine Translation from Simplified Translations—0
Neural Machine Translation: Hindi-Nepali—0
Neural Machine Translation Incorporating Named Entity—0
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair—0
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search—0
Neural Machine Translation model for University Email Application—0
Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy—0
Neural Machine Translation of Logographic Languages Using Sub-character Level Information—0
Neural Machine Translation of Logographic Language Using Sub-character Level Information—0
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English—0
Neural Machine Translation with 4-Bit Precision and Beyond—0
Neural Machine Translation with Adequacy-Oriented Learning—0
Neural Machine Translation with Decoding History Enhanced Attention—0
Neural Machine Translation with Explicit Phrase Alignment—0
Neural Machine Translation with Key-Value Memory-Augmented Attention—0
Neural Machine Translation with Source Dependency Representation—0
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