Package nltk :: Package corpus :: Package reader :: Module conll :: Class ConllChunkCorpusReader
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type ConllChunkCorpusReader

source code

      object --+        
               |        
api.CorpusReader --+    
                   |    
   ConllCorpusReader --+
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                      ConllChunkCorpusReader

A ConllCorpusReader whose data file contains three columns: words, pos, and chunk.

Instance Methods [hide private]
 
__init__(self, root, fileids, chunk_types, encoding=None, tag_mapping_function=None) source code

Inherited from ConllCorpusReader: chunked_sents, chunked_words, iob_sents, iob_words, parsed_sents, raw, sents, srl_instances, srl_spans, tagged_sents, tagged_words, words

Inherited from api.CorpusReader: __repr__, abspath, abspaths, encoding, fileids, open, readme

Inherited from api.CorpusReader (private): _get_root

    Deprecated since 0.9.7

Inherited from api.CorpusReader: files

    Deprecated since 0.9.1

Inherited from api.CorpusReader: items

Inherited from api.CorpusReader (private): _get_items

Static Methods [hide private]

Inherited from ConllCorpusReader (private): _get_column

Class Variables [hide private]

Inherited from ConllCorpusReader: CHUNK, COLUMN_TYPES, IGNORE, NE, POS, SRL, TREE, WORDS

Instance Variables [hide private]

Inherited from api.CorpusReader (private): _encoding, _fileids, _root

Properties [hide private]

Inherited from api.CorpusReader: root

Method Details [hide private]

__init__(self, root, fileids, chunk_types, encoding=None, tag_mapping_function=None)
(Constructor)

source code 
Parameters:
  • root - A path pointer identifying the root directory for this corpus. If a string is specified, then it will be converted to a PathPointer automatically.
  • fileids - A list of the files that make up this corpus. This list can either be specified explicitly, as a list of strings; or implicitly, as a regular expression over file paths. The absolute path for each file will be constructed by joining the reader's root to each file name.
  • encoding - The default unicode encoding for the files that make up the corpus. encoding's value can be any of the following:
    • A string: encoding is the encoding name for all files.
    • A dictionary: encoding[file_id] is the encoding name for the file whose identifier is file_id. If file_id is not in encoding, then the file contents will be processed using non-unicode byte strings.
    • A list: encoding should be a list of (regexp, encoding) tuples. The encoding for a file whose identifier is file_id will be the encoding value for the first tuple whose regexp matches the file_id. If no tuple's regexp matches the file_id, the file contents will be processed using non-unicode byte strings.
    • None: the file contents of all files will be processed using non-unicode byte strings.
  • tag_mapping_function - A function for normalizing or simplifying the POS tags returned by the tagged_words() or tagged_sents() methods.
Overrides: api.CorpusReader.__init__
(inherited documentation)