Update lab2.md

lab2.md

@@ -77,22 +77,21 @@ stemmer = SnowballStemmer("russian")
 #nltk.download()
 
 def token_and_stem(text):
-    tokens = [word for sent in nltk.sent_tokenize(text) for word in nltk.word_tokenize(sent)]
-    filtered_tokens = []
-    for token in tokens:
-        if re.search('[а-яА-Я]', token):
-            filtered_tokens.append(token)
-    stems = [stemmer.stem(t) for t in
-filtered_tokens]
-return stems
+  tokens = [word for sent in nltk.sent_tokenize(text) for word in nltk.word_tokenize(sent)]
+  filtered_tokens = []
+  for token in tokens:
+    if re.search('[а-яА-Я]', token):
+      filtered_tokens.append(token)
+  stems = [stemmer.stem(t) for t in filtered_tokens]
+  return stems
 
 def token_only(text):
-    tokens = [word.lower() for sent in nltk.sent_tokenize(text) for word in nltk.word_tokenize(sent)]
-    filtered_tokens = []
-    for token in tokens:
-        if re.search('[а-яА-Я]', token):
-            filtered_tokens.append(token)
-    return filtered_tokens
+  tokens = [word.lower() for sent in nltk.sent_tokenize(text) for word in nltk.word_tokenize(sent)]
+  filtered_tokens = []
+  for token in tokens:
+    if re.search('[а-яА-Я]', token):
+      filtered_tokens.append(token)
+  return filtered_tokens
     
 #Создаем словари (массивы) из полученных основ
 totalvocab_stem = []