NLTK 3.2.3 released

[Steven Bird]

NLTK 3.2.3 is now available from:
https://pypi.python.org/pypi/nltk

NLTK 3.2.3 includes the following:
* new interface to Stanford CoreNLP Web API
* improved Lancaster stemmer with customizable rules from Whoosh
* improved Treebank tokenizer
* improved support for GLEU score
* adopt new Abstract base class style
* support custom tab files for extending WordNet
* make synset_from_pos_and_offset a public method
* make non-English WordNet lemma lookups case-insensitive
* speed up TnT tagger
* speed up FreqDist and ConditionalFreqDist
* support additional quotes in TreebankWordTokenizer
* clean up Tk's postscript output
* drop explicit support for corpora not distributed with NLTK to streamline testing
* allow iterator in perceptron tagger training
* allow for curly bracket quantifiers in chunk.regexp.CHUNK_TAG_PATTERN
* new corpus reader for MWA subset of PPDB
* improved testing framework

Thanks to the following contributors to 3.2.3:
Mark Amery, Carl Bolz, Abdelhak Bougouffa, Matt Chaput, Michael Goodman,
Jaehoon Hwang, Naoya Kanai, Jackson Lee, Christian Meyer, Dmitrijs Milajevs,
Adam Nelson, Pierpaolo Pantone, Liling Tan, Vilhjalmur Thorsteinsson,
Arthur Tilley, jmhutch, Yorwba, eromoe and others

Special thanks to Pierpaolo Pantone for setting up our continuous integration server to support automated testing of pull requests, to Liling Tan for being all over the issue tracker, and Alex Dimitriadis for staffing the nltk-users mailing list.