Domain language adaptation functionality in Nemo
Hi All, 
I wanted to adapt some specific domain text to a model trained on Generic datasets. In Kaldi, this is done by adding more domain data to LM and use it during decoding. 

Is it this similar in Nemo too, like building a LM by adding domain specific text data & generic training text data together, then use this LM at the time of decoding? Or any other specific Nemo feature/ functionality that provide better support to accomplish this?
Thanks