On the Importance of Word Boundaries in Character-level Neural Machine Translation
NGT@EMNLP-IJCNLP, pp. 187-193, 2019.
Neural Machine Translation (NMT) models generally perform translation using a fixed-size lexical vocabulary, which is an important bottleneck on their generalization capability and overall translation quality. The standard approach to overcome this limitation is to segment words into subword units, typically using some external tools wi...More
PPT (Upload PPT)