Incorporating Source-Side Phrase Structures into Neural Machine Translation
Neural machine translation (NMT) has shown great success as a new alternative to the traditional Statistical Machine Translation model in multiple languages. Early NMT models are based on sequence-to-sequence learning that encodes a sequence of source words into a vector space and generates another...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2019-06-01
|
| Series: | Computational Linguistics |
| Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00348 |