title: Are there any other sentence tokenizers in NLTK, other than punkt tokenizer
body: <p>I am using NLTK to tokenize articles from wikipedia into sentences. But the punkt tokenizer is not giving very good results as sometime it is creating problems like sentences are getting tokenized when <code>etc.</code> appears, or problems occurs when double inverted commas appear in text like <code>['as they say "harry is a good boy.', '" He thinks']</code> and so on.</p>
  
  <p>I want to stick to NLTK itself as this is something which is sandwiched between some other processes.</p>
  
  <p>Are there any other classifiers that can be used?</p>
  
  <p>I don't mind using any other library in python as well.</p>