# -*- coding: utf-8 -*-
#!/usr/bin/python3.5 -S
# python -m spacy.en.download python -m spacy.de.download
# https://spacy.io/docs/#tutorials
#https://www.w3.org/services/html2txt
# CSS: http://codepen.io/explosion/pen/xEpgKz
# CSS 2: https://explosion.ai/blog/displacy-ent-named-entity-visualizer
import time

#pip install --upgrade 3to2
#pip install --upgrade language-check

### grammar checker
######## https://github.com/lpenz/atdtool/blob/master/atdtool/__init__.py
###########http://stackoverflow.com/questions/10252448/how-to-check-whether-a-sentence-is-correct-simple-grammar-check-in-python --> https://pypi.python.org/pypi/grammar-check https://pypi.python.org/pypi/language-check

#Statistical spell- and (occasional) grammar-checker. http://lindat.mff.cuni.cz/services/korektor
#https://github.com/ufal/korektor

# spell correction: http://norvig.com/spell-correct.html

# grammar correct: http://www.abisource.com/projects/link-grammar/#download

# python based grammar check based on learning https://www.openhub.net/p/grac

# http://www.decontextualize.com/teaching/rwet/n-grams-and-markov-chains/

start_time = time.time()
import os
os.system('clear')
import sys  # import sys package, if not already imported
#from textblob_de import TextBlobDE
import spacy

t1 = u"ich gehe spazieren und esse ein Eis."
t2 = u"das warme Essen schmeckt sehr lecker, denn es ist sehr schmackhaft zubereitet."

#nlp 		= spacy.load('de', tagger=True, parser=True, entity=True)
#nlp 		= spacy.load('de')
nlp 		= spacy.de.German()
toks1 		= nlp(t1)
toks2 		= nlp(t2)
print(toks1), 
print("\n")
for token1 in toks1:
	print(token1, token1.pos, token1.pos_)

print(toks2),
print("\n")
for token2 in toks2:
	print(token2, token2.pos, token2.pos_)

ft = (time.time() - start_time)
print("Script Runtime: --- "),
print(ft),
print(" ---- Seconds")

sys.exit(0)