cPickle?

Hey guys,

I'll start by saying that I haven't actually tested this yet. But I was wondering... is there any reason why we are not using the C implementation of pickle? It seems to be much faster! And it has happened to me that while the python pickle module died with some data, cPickle kept on going, like the duracell bunny
wrapping cPickle import in a try-catch
Parallelising lexical function training with joblib
integrating dissect into sussex pipeline, still incomplete
Merge branch 'master' into dev
Moved implementation of LexicalLearner to joblib (parallel for each adjective). Was not any faster as numpy.linalg.lstsq is already using threaded BLAS
Reverted to the default implementation of lexical function training (see commit message c0f74f0047431b070b79)
A host of changes to do with reducing dimensionality of all vectors together and then massaging the output into a format suitable for Dissect
BROKEN: Major commit en route to integrating all tools in a single pipeline, from unigram vector collection through ngram thesaurus construction to classification with these thesauri. Had to change the separator between tokens of a document feature to _ (from space) for simpler integration with dissect