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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 1391–1400 of 1773 papers

TitleStatusHype
Identifying and Controlling Important Neurons in Neural Machine Translation—0
Optimizing Segmentation Granularity for Neural Machine Translation—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
Multi-Source Neural Machine Translation with Data Augmentation—0
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding—0
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine TranslationCode0
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine TranslationCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Learning to Segment Inputs for NMT Favors Character-Level Processing—0
Neural Machine Translation for English-TamilCode0
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