nltk.corpus.reader.CategorizedTaggedCorpusReader

class documentation

class CategorizedTaggedCorpusReader(CategorizedCorpusReader, TaggedCorpusReader): (source)

Constructor: CategorizedTaggedCorpusReader(*args, **kwargs)

A reader for part-of-speech tagged corpora whose documents are divided into categories based on their file identifiers.

Method	`__init__`	Initialize the corpus reader. Categorization arguments (`cat_pattern`, `cat_map`, and `cat_file`) are passed to the `CategorizedCorpusReader` constructor. The remaining arguments are passed to the `TaggedCorpusReader`...
Method	`paras`	No summary
Method	`raw`	No summary
Method	`sents`	No summary
Method	`tagged_paras`	No summary
Method	`tagged_sents`	No summary
Method	`tagged_words`	No summary
Method	`words`	No summary
Method	`_resolve`	Undocumented

Inherited from CategorizedCorpusReader:

Method	`categories`	Return a list of the categories that are defined for this corpus, or for the file(s) if it is given.
Method	`fileids`	Return a list of file identifiers for the files that make up this corpus, or that make up the given category(s) if specified.
Method	`_add`	Undocumented
Method	`_init`	Undocumented
Instance Variable	`_c2f`	Undocumented
Instance Variable	`_delimiter`	Undocumented
Instance Variable	`_f2c`	Undocumented
Instance Variable	`_file`	Undocumented
Instance Variable	`_map`	Undocumented
Instance Variable	`_pattern`	Undocumented

Inherited from TaggedCorpusReader (via CategorizedCorpusReader):

Instance Variable	`_para_block_reader`	Undocumented
Instance Variable	`_sent_tokenizer`	Undocumented
Instance Variable	`_sep`	Undocumented
Instance Variable	`_tagset`	Undocumented
Instance Variable	`_word_tokenizer`	Undocumented

Inherited from CorpusReader (via CategorizedCorpusReader, TaggedCorpusReader):

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	`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, *args, **kwargs): (source) ¶

overrides nltk.corpus.reader.CategorizedCorpusReader.__init__

Initialize the corpus reader. Categorization arguments (cat_pattern, cat_map, and cat_file) are passed to the CategorizedCorpusReader constructor. The remaining arguments are passed to the TaggedCorpusReader.

def paras(self, fileids=None, categories=None): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.paras

Returns
list(list(list(str)))	the given file(s) as a list of paragraphs, each encoded as a list of sentences, which are in turn encoded as lists of word strings.

def raw(self, fileids=None, categories=None): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.raw

Returns
str	the given file(s) as a single string.

def sents(self, fileids=None, categories=None): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.sents

Returns
list(list(str))	the given file(s) as a list of sentences or utterances, each encoded as a list of word strings.

def tagged_paras(self, fileids=None, categories=None, tagset=None): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.tagged_paras

Returns
list(list(list(tuple(str,str))))	the given file(s) as a list of paragraphs, each encoded as a list of sentences, which are in turn encoded as lists of `(word,tag)` tuples.

def tagged_sents(self, fileids=None, categories=None, tagset=None): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.tagged_sents

Returns
list(list(tuple(str,str)))	the given file(s) as a list of sentences, each encoded as a list of `(word,tag)` tuples.

def tagged_words(self, fileids=None, categories=None, tagset=None): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.tagged_words

Returns
list(tuple(str,str))	the given file(s) as a list of tagged words and punctuation symbols, encoded as tuples `(word,tag)`.

def words(self, fileids=None, categories=None): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.words

Returns
list(str)	the given file(s) as a list of words and punctuation symbols.

def _resolve(self, fileids, categories): (source) ¶

Undocumented