class_docstr: A specialized corpus view for ChasenReader. Similar to ``TaggedCorpusView``,
  but this'll use fixed sets of word and sentence tokenizer.
class_docstr_tok: ["A","specialized","corpus","view","for","ChasenReader",".","Similar","to","``","TaggedCorpusView","``",",","but","this","'ll","use","fixed","sets","of","word","and","sentence","tokenizer","."]
code: def __init__(
      self,
      corpus_file,
      encoding,
      tagged,
      group_by_sent,
      group_by_para,
      sent_splitter=None,
  ):
      self._tagged = tagged
      self._group_by_sent = group_by_sent
      self._group_by_para = group_by_para
      self._sent_splitter = sent_splitter
      StreamBackedCorpusView.__init__(
          self, corpus_file, encoding=encoding
      )
  
file_path: nltk/nltk/corpus/reader/chasen.py
imports: import sys
  from nltk.corpus.reader import util
  from nltk.corpus.reader.api import *
  from nltk.corpus.reader.util import *
label_desc: Use image node_id 1 to create a new ChasenCorpusView object from inherited base classes: StreamBackedCorpusView with example: obj = ChasenCorpusView(corpus_file, encoding, tagged, group_by_sent, group_by_para, sent_splitter)