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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 431–440 of 1773 papers

TitleStatusHype
Diversity by Phonetics and its Application in Neural Machine Translation—0
Diving Deep into Context-Aware Neural Machine Translation—0
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation—0
Document Graph for Neural Machine Translation—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Constraining the Transformer NMT Model with Heuristic Grid Beam Search—0
Document-level Neural Machine Translation with Document Embeddings—0
Document-level Neural Machine Translation with Associated Memory Network—0
Document-level Neural Machine Translation Using Dependency RST Structure—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19—0
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