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This paper explores the integration of attention mechanisms within the decoder of Neural Machine Translation (NMT) systems to improve the translation of idioms, which are often challenging for existing models. By augmenting the decoder with a memory-enhanced RNN language model, the authors aim to enhance the model

Author

ayakihana17

Language

EN