def build(self):

        if not hasattr(self, "_sentence_tokenizer"):
            self._sentence_tokenizer = None

        if self._sentence_tokenizer is None:
            dl = nltk.downloader.Downloader()
            if dl.is_installed("punkt") is False:
                print "Installing NLTK Punkt Sentence Tokenizer"
                dl.download("punkt")

            self._sentence_tokenizer = nltk.data.load(
                'tokenizers/punkt/english.pickle').tokenize
dataset/ETHPy150Open kedz/sumpy/sumpy/annotators/_preprocessor.py/SentenceTokenizerMixin.build/original