Project for #YRS2013

Uses neural network from jcla1/nn

Basically analyses wikipedia lexically and structurally to find things that need to be improved. Uses a (self-written) neural-net for analysing structure and an ngram model to analyse the sentence fragments. Built around a pipeline that enables it to be distributed across multiple CPU cores.

To get started look at the different parts the project is divided into in parts.go I haven't tested the ngram code yet since I haven't got enough disk space to process the ngrams.