Extracted some common functions

I have tidied up the code for both the Parts of Speech (POS) tagger and the Named Entity Recognition (NER) system. This involved extracting a couple of functions into a module for reuse and removing any of the investigation code used to work out what the model was doing. 

Now running both of these notebooks in sequence delivers 2 models which can be converted to tfjs and run in the client. So far the tfjs converter just handles the POS model. Will get the NER model running next. 

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