nltk.corpus.reader.SemcorCorpusReader

class documentation

class SemcorCorpusReader(XMLCorpusReader): (source)

Constructor: SemcorCorpusReader(root, fileids, wordnet, lazy)

Corpus reader for the SemCor Corpus. For access to the complete XML data structure, use the ``xml()`` method. For access to simple word lists and tagged word lists, use ``words()``, ``sents()``, ``tagged_words()``, and ``tagged_sents()``.

Method	`__init__`	No summary
Method	`chunk_sents`	:return: the given file(s) as a list of sentences, each encoded as a list of chunks. :rtype: list(list(list(str)))
Method	`chunks`	:return: the given file(s) as a list of chunks, each of which is a list of words and punctuation symbols that form a unit. :rtype: list(list(str))
Method	`sents`	:return: the given file(s) as a list of sentences, each encoded as a list of word strings. :rtype: list(list(str))
Method	`tagged_chunks`	:return: the given file(s) as a list of tagged chunks, represented in tree form. :rtype: list(Tree)
Method	`tagged_sents`	:return: the given file(s) as a list of sentences. Each sentence is represented as a list of tagged chunks (in tree form). :rtype: list(list(Tree))
Method	`words`	:return: the given file(s) as a list of words and punctuation symbols. :rtype: list(str)
Static Method	`_word`	Undocumented
Method	`_items`	Undocumented
Method	`_words`	Helper used to implement the view methods -- returns a list of tokens, (segmented) words, chunks, or sentences. The tokens and chunks may optionally be tagged (with POS and sense information).
Instance Variable	`_lazy`	Undocumented
Instance Variable	`_wordnet`	Undocumented

Inherited from XMLCorpusReader:

Method	`raw`	Undocumented
Method	`xml`	Undocumented
Instance Variable	`_wrap_etree`	Undocumented

Inherited from CorpusReader (via XMLCorpusReader):

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.
Instance Variable	`_tagset`	Undocumented

def __init__(self, root, fileids, wordnet, lazy=True): (source) ¶

overrides nltk.corpus.reader.XMLCorpusReader.__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.
wordnet	Undocumented
lazy	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.

def chunk_sents(self, fileids=None): (source) ¶

:return: the given file(s) as a list of sentences, each encoded as a list of chunks. :rtype: list(list(list(str)))

def chunks(self, fileids=None): (source) ¶

:return: the given file(s) as a list of chunks, each of which is a list of words and punctuation symbols that form a unit. :rtype: list(list(str))

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

:return: the given file(s) as a list of sentences, each encoded as a list of word strings. :rtype: list(list(str))

def tagged_chunks(self, fileids=None, tag='pos' or 'sem' or 'both'): (source) ¶

:return: the given file(s) as a list of tagged chunks, represented in tree form. :rtype: list(Tree) :param tag: `'pos'` (part of speech), `'sem'` (semantic), or `'both'` to indicate the kind of tags to include. Semantic tags consist of WordNet lemma IDs, plus an `'NE'` node if the chunk is a named entity without a specific entry in WordNet. (Named entities of type 'other' have no lemma. Other chunks not in WordNet have no semantic tag. Punctuation tokens have `None` for their part of speech tag.)

def tagged_sents(self, fileids=None, tag='pos' or 'sem' or 'both'): (source) ¶

:return: the given file(s) as a list of sentences. Each sentence is represented as a list of tagged chunks (in tree form). :rtype: list(list(Tree)) :param tag: `'pos'` (part of speech), `'sem'` (semantic), or `'both'` to indicate the kind of tags to include. Semantic tags consist of WordNet lemma IDs, plus an `'NE'` node if the chunk is a named entity without a specific entry in WordNet. (Named entities of type 'other' have no lemma. Other chunks not in WordNet have no semantic tag. Punctuation tokens have `None` for their part of speech tag.)

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

overrides nltk.corpus.reader.XMLCorpusReader.words

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

@staticmethod
def _word(xmlword, unit, pos_tag, sem_tag, wordnet): (source) ¶

Undocumented

def _items(self, fileids, unit, bracket_sent, pos_tag, sem_tag): (source) ¶

Undocumented

def _words(self, fileid, unit, bracket_sent, pos_tag, sem_tag): (source) ¶

Helper used to implement the view methods -- returns a list of tokens, (segmented) words, chunks, or sentences. The tokens and chunks may optionally be tagged (with POS and sense information). :param fileid: The name of the underlying file. :param unit: One of `'token'`, `'word'`, or `'chunk'`. :param bracket_sent: If true, include sentence bracketing. :param pos_tag: Whether to include part-of-speech tags. :param sem_tag: Whether to include semantic tags, namely WordNet lemma and OOV named entity status.

_lazy = (source) ¶

Undocumented

_wordnet = (source) ¶

Undocumented