For transformer-based neural machine translation (NMT), take English-Chinese for example, we pass English for encoder and use decoder input(Chinese) attend to encoder output, then final output.
What if we do not pass input for decoder and consider it as a 'memory' model for translation. Is it possible and what will happen?
guotong1988
commented
5 years ago
For transformer-based neural machine translation (NMT), take English-Chinese for example, we pass English for encoder and use decoder input(Chinese) attend to encoder output, then final output.
What if we do not pass input for decoder and consider it as a 'memory' model for translation. Is it possible and what will happen?
It seems decoder could be removed and there only exist encoder. Could I do translation task like text generation? See: https://github.com/salesforce/ctrl/blob/master/generation.py https://einstein.ai/presentations/ctrl.pdf
Thank you！