Updating the test program to break up a wikipedia page into tokens.

test.py

@@ -2,28 +2,54 @@ import json
 import requests
 import wikipediaapi
 
-from nltk import pos_tag, map_tag
+from nltk import pos_tag
-from nltk import word_tokenize
+from nltk import sent_tokenize, word_tokenize
+
+# Info about the default pos_tag tags
+# https://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html
+adlib_tags = {
+    "JJ": "Adjective",
+    "JJR": "Adjective ending in 'er'",
+    "JJS": "Adjective ending in 'est'",
+    "NN": "Noun",
+    "NNS": "Plural Noun",
+    "NNP": "Proper Noun",
+    "NNPS": "Plural Proper Noun",
+    "RB": "Adverb",
+    "RBR": "Adverb ending in 'er'",
+    "RBS": "Adverb ending in 'est'",
+    "VB": "Verb",
+    "VBD": "Past Tense Verb",
+    "VBG": "Verb ending in 'ing'",
+    "VBN": "Past Tense Verb",
+    "VBP": "Present Tense Verb",
+    "VBZ": "Present Tense Verb ending in 's'",
+}
 
 
 def get_random_wikipedia_title():
     random_result = json.loads(requests.get('https://en.wikipedia.org/api/rest_v1/page/random/title').text)
     return random_result['items'][0]['title']
 
-data = "The quick brown fox jumps over the lazy dog."
-
-data_pos_tagged = pos_tag(word_tokenize(data))
-
-for tagged_word in data_pos_tagged:
-    print(tagged_word)
-
 wikipedia = wikipediaapi.Wikipedia('en')
-random_page = wikipedia.page(get_random_wikipedia_title())
+wiki_page = wikipedia.page(get_random_wikipedia_title())
 
-print(random_page.title)
+print(wiki_page.title)
+print(wiki_page.displaytitle)
+print(wiki_page.canonicalurl)
 
-random_page_summary_tagged = pos_tag(word_tokenize(random_page.summary))
+summary = wiki_page.summary
-simple_tags = [(word, map_tag('en-ptb', 'universal', tag)) for word, tag in random_page_summary_tagged]
+sentences = sent_tokenize(summary)
+tagged_sentences = []
+for sentence in sentences:
+    tagged_sentences.append(pos_tag(word_tokenize(sentence)))
 
-print(random_page_summary_tagged)
+
-print(simple_tags)
+i = 0
+output_tokens = []
+for sentence in tagged_sentences:
+    for token, tag in sentence:
+        output_tokens.append({"id": i, "token": token, "tag": tag})
+        i += 1
+
+print(json.dumps(output_tokens))