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helpers.py

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+from nltk.tag.stanford import StanfordNERTagger
+
+st = StanfordNERTagger('/usr/local/bin/english.all.3class.distsim.crf.ser.gz',
+                       '/usr/local/bin/stanford-ner.jar')
+
+
+PROPER_NOUN_TAGS = ['ORGANIZATION', 'PERSON', 'LOCATION']
+
+
+def tag_words(words):
+    return st.tag(words)
+
+
+def is_a_proper_noun(phrase):
+    tagged_words = tag_words(phrase.split())
+    return any(tagged_word[1] in PROPER_NOUN_TAGS
+               for tagged_word in tagged_words)