from TreeTaggerWrapper import treetaggerwrapper
#1) build a TreeTagger wrapper:
tagger = treetaggerwrapper.TreeTagger(TAGLANG='en',TAGDIR='D:/Programme/TreeTagger')
#2) tag your text.
tags = tagger.TagText("This is a very short text to tag.")
#3) use the tags list... (list of string output from TreeTagger).
print tags
# Check, whether the format of the tagged postings is good for the tagged corpus reader
# p.51 NLTK Cookbook
input_directory = path
from nltk.corpus.reader import TaggedCorpusReader
reader = TaggedCorpusReader(input_directory, r'.*\.txt')
reader.words()
# ['The', 'expense', 'and', 'time', 'involved', 'are', ...]
reader.tagged_words()
reader.sents()
reader.tagged_sents()
reader.paras()
reader.tagged_paras()
# testing the import #
#import sys
import myMath
print myMath.add(4,5)
print myMath.division(4, 2)
print myMath.multiply(10, 5)
print myMath.fibonacci(8)
print myMath.squareroot(48)
