docs: def display(self):
          '''
          Displays statistics about our LM
          '''
          voc_list = []
          doc_ids = self.term_count_n.keys()
          doc_ids.sort()
          for doc_id in doc_ids:
              ngrams = len(self.term_count_n[doc_id]['ngrams'])
              print 'n-Grams (doc %s): %d' % (str(doc_id), ngrams)
              ngrams1 = len(self.term_count_n_1[doc_id]['ngrams'])
              print '(n-1)-Grams (doc %s): %d' % (str(doc_id), ngrams1)
              voc_list.append(ngrams)
          print 'Classed Vocabularies:', voc_list
          print ''
          corpus_ngrams = len(self.corpus_count_n['ngrams']) 
          print 'n-Grams (collection): %d' % (corpus_ngrams)
          corpus_ngrams1 = len(self.corpus_count_n_1['ngrams']) 
          print '(n-1)-Grams (collection): %d' % (corpus_ngrams1)
          self.unseen_counts.display()