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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 461–470 of 1773 papers

TitleStatusHype
Bridging Neural Machine Translation and Bilingual Dictionaries—0
D-PAGE: Diverse Paraphrase Generation—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Bridging Philippine Languages With Multilingual Neural Machine Translation—0
Constraining the Transformer NMT Model with Heuristic Grid Beam Search—0
Dual Past and Future for Neural Machine Translation—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19—0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars—0
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
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