honnibal · September 27, 2015 09:48 · honnibal · Sep 27, 2015 · honnibal · Sep 27, 2015
diff --git a/sort_like_color.py b/sort_like_color.py
 from __future__ import unicode_literals
 from __future__ import print_function

 import plac

 import spacy.en


 def main(vectors_loc=None):
    nlp = spacy.en.English()
    if vectors_loc is not None:
        nlp.vocab.load_vectors(vectors_loc)

    # Quickly list some colors. The .similarity() function will use the average of these word vectors.
    colors = nlp(u'red blue yellow green turquoise sapphire emerald ruby periwinkle umber oak charcoal ebony')

    # We want lower-case words, that aren't too rare, sorted by their similarity to the above colors
    words = [(lex.similarity(colors), lex.orth_) for lex in nlp.vocab
               if lex.is_lower and lex.prob >= -20]
    words.sort(reverse=True)
    for i, (score, word) in enumerate(words):
        print(i, score, word)


 if __name__ == '__main__':
    plac.call(main)
	from __future__ import unicode_literals
	from __future__ import print_function

	import plac

	import spacy.en


	def main(vectors_loc=None):
	nlp = spacy.en.English()
	if vectors_loc is not None:
	nlp.vocab.load_vectors(vectors_loc)

	# Quickly list some colors. The .similarity() function will use the average of these word vectors.
	colors = nlp(u'red blue yellow green turquoise sapphire emerald ruby periwinkle umber oak charcoal ebony')

	# We want lower-case words, that aren't too rare, sorted by their similarity to the above colors
	words = [(lex.similarity(colors), lex.orth_) for lex in nlp.vocab
	if lex.is_lower and lex.prob >= -20]
	words.sort(reverse=True)
	for i, (score, word) in enumerate(words):
	print(i, score, word)


	if __name__ == '__main__':
	plac.call(main)