A Character-level Decoder without Explicit Segmentation for Neural Machine Translation
A Character-level Decoder without Explicit Segmentation for Neural Machine Translation
The existing machine translation systems, whether phrase-based or neural, have relied almost exclusively on word-level modelling with explicit segmentation.In this paper, we ask a fundamental question: can neural machine translation generate a character sequence without any explicit segmentation?To answer this question, we evaluate an attention-based encoderdecoder with a subword-level encoder …