'This is a duck-type of CoreNLPParser that has the tokenizing
functionality similar to the original Stanford POS tagger.
>>> from nltk.tokenize.stanford import CoreNLPTokenizer
>>> s = "Good muffins cost $3.88\nin New York.  Please buy me\ntwo of them.\nThanks."
>>> CoreNLPTokenizer(url=\'http://localhost:9000\').tokenize(s) == expected # doctest: +SKIP
[u\'Good\', u\'muffins\', u\'cost\', u\'$\', u\'3.88\', u\'in\', u\'New\', u\'York\', u\'.\', u\'Please\', u\'buy\', u\'me\', u\'two\', u\'of\', u\'them\', u\'.\', u\'Thanks\', u\'.\']'

def __init__(self, url=u'http://localhost:9000', encoding=u'utf8'):

    super(self.__class__, self).__init__(url, encoding)
