Towards Neural Phrase-Based Machine Translation (NPMT)

Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng

ICLR 2018 | ArXiv | openreview | code

Problematic:

Porposed solution:

Modeling phrases in the outout space using Sleep-WAke Networks (SWAN, a segmentation based sequence modeling method).

phrases = segments of the sequence that form meaningful units!

in SMT: phrase-based > word-based models.

Issues: