Character-Level Translation with Self-attention

ACL 2020 Yingqiang GaoNikola I. NikolovYuhuang HuRichard H. R. Hahnloser

We explore the suitability of self-attention models for character-level neural machine translation. We test the standard transformer model, as well as a novel variant in which the encoder block combines information from nearby characters using convolutions... (read more)

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