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pro vyhledávání: '"Zhang, Huaao"'
Neural machine translation with millions of parameters is vulnerable to unfamiliar inputs. We propose Token Drop to improve generalization and avoid overfitting for the NMT model. Similar to word dropout, whereas we replace dropped token with a speci
Externí odkaz:
http://arxiv.org/abs/2010.11018
