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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 1521–1530 of 1773 papers

TitleStatusHype
Are BLEU and Meaning Representation in Opposition?—0
Towards Robust Neural Machine Translation—0
Triangular Architecture for Rare Language Translation—0
Deep Neural Machine Translation with Weakly-Recurrent UnitsCode0
First Experiments with Neural Translation of Informal to Formal Mathematics—0
Neural Machine Translation Decoding with Terminology Constraints—0
Character-level Chinese-English Translation through ASCII EncodingCode0
Improving Character-level Japanese-Chinese Neural Machine Translation with Radicals as an Additional Input Feature—0
Stay On-Topic: Generating Context-specific Fake Restaurant ReviewsCode0
Multi-Domain Neural Machine Translation—0
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