I am working on an NLP sentence parser (and other related NLP tools), that is trained with using human-generated parse data like the Penn Treebank. It works at

I am working on an NLP sentence parser (and other related NLP tools), that is trained with using human-generated parse data like the Penn Treebank. It works at some level, not quite state of the art, but I am making steady progress. You can see the demo version here: http://ozoraresearch.com/crm/public/parseview/UserParseView.jsp http://ozoraresearch.com/crm/public/parseview/UserParseView.... Because I'm not tied to a specific training data set, I can define (and must) my own grammar formalism. I wrote a blog post against the standard PCFG formalism that has been widely used in the field: https://ozoraresearch.wordpress.com/2017/03/17/chuckling-a-bit-at-microsoft-and-the-pcfg-formalism/ https://ozoraresearch.wordpress.com/2017/03/17/chuckling-a-b...