I need to do Domain Adaptation / incremental training first on a larger dataset, and then a smaller more domain specific dataset.
I was wondering which is a better (more complete) framework for this task - opennmt, openmnt-py, or opennmt-tf ?
From what I have seen, it appears that opennmt is no more under development (the github page says so). Opennmt-py does not support some options like source / target vocabularies needed for domain specific adaptation (read that on a forum post here). So it appears that one should go with opennmt-tf for this task.
Am I correct? Can someone kindly throw more light on this?