nltk.corpus.reader.ConllChunkCorpusReader

class documentation

class ConllChunkCorpusReader(ConllCorpusReader): (source)

Constructor: ConllChunkCorpusReader(root, fileids, chunk_types, encoding, ...)

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

Method __init__ No summary

Inherited from ConllCorpusReader:

Method	`chunked_sents`	Undocumented
Method	`chunked_words`	Undocumented
Method	`iob_sents`	No summary
Method	`iob_words`	No summary
Method	`parsed_sents`	Undocumented
Method	`raw`	Undocumented
Method	`sents`	Undocumented
Method	`srl_instances`	Undocumented
Method	`srl_spans`	Undocumented
Method	`tagged_sents`	Undocumented
Method	`tagged_words`	Undocumented
Method	`words`	Undocumented
Constant	`CHUNK`	Undocumented
Constant	`COLUMN_TYPES`	Undocumented
Constant	`IGNORE`	Undocumented
Constant	`NE`	Undocumented
Constant	`POS`	Undocumented
Constant	`SRL`	Undocumented
Constant	`TREE`	Undocumented
Constant	`WORDS`	Undocumented
Instance Variable	`sep`	Undocumented
Static Method	`_get_column`	Undocumented
Method	`_get_chunked_words`	Undocumented
Method	`_get_iob_words`	Undocumented
Method	`_get_parsed_sent`	Undocumented
Method	`_get_srl_instances`	Undocumented
Method	`_get_srl_spans`	list of list of (start, end), tag) tuples
Method	`_get_tagged_words`	Undocumented
Method	`_get_words`	Undocumented
Method	`_grids`	Undocumented
Method	`_read_grid_block`	Undocumented
Method	`_require`	Undocumented
Instance Variable	`_chunk_types`	Undocumented
Instance Variable	`_colmap`	Undocumented
Instance Variable	`_pos_in_tree`	Undocumented
Instance Variable	`_root_label`	Undocumented
Instance Variable	`_srl_includes_roleset`	Undocumented
Instance Variable	`_tagset`	Undocumented
Instance Variable	`_tree_class`	Undocumented

Inherited from CorpusReader (via ConllCorpusReader):

Method	`__repr__`	Undocumented
Method	`abspath`	Return the absolute path for the given file.
Method	`abspaths`	Return a list of the absolute paths for all fileids in this corpus; or for the given list of fileids, if specified.
Method	`citation`	Return the contents of the corpus citation.bib file, if it exists.
Method	`encoding`	Return the unicode encoding for the given corpus file, if known. If the encoding is unknown, or if the given file should be processed using byte strings (str), then return None.
Method	`ensure_loaded`	Load this corpus (if it has not already been loaded). This is used by LazyCorpusLoader as a simple method that can be used to make sure a corpus is loaded -- e.g., in case a user wants to do help(some_corpus).
Method	`fileids`	Return a list of file identifiers for the fileids that make up this corpus.
Method	`license`	Return the contents of the corpus LICENSE file, if it exists.
Method	`open`	Return an open stream that can be used to read the given file. If the file's encoding is not None, then the stream will automatically decode the file's contents into unicode.
Method	`readme`	Return the contents of the corpus README file, if it exists.
Class Variable	`root`	Undocumented
Method	`_get_root`	Undocumented
Instance Variable	`_encoding`	The default unicode encoding for the fileids that make up this corpus. If `encoding` is None, then the file contents are processed using byte strings.
Instance Variable	`_fileids`	A list of the relative paths for the fileids that make up this corpus.
Instance Variable	`_root`	The root directory for this corpus.

def __init__(self, root, fileids, chunk_types, encoding='utf8', tagset=None, separator=None): (source) ¶

overrides nltk.corpus.reader.ConllCorpusReader.__init__

Parameters
root:PathPointer or str	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.
chunk_types	Undocumented
encoding	The default unicode encoding for the files that make up the corpus. The value of `encoding` 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.
tagset	The name of the tagset used by this corpus, to be used for normalizing or converting the POS tags returned by the tagged_...() methods.
separator	Undocumented