class documentation

A base class for "corpus reader" classes, each of which can be used to read a specific corpus format. Each individual corpus reader instance is used to read a specific corpus, consisting of one or more files under a common root directory. Each file is identified by its file identifier, which is the relative path to the file from the root directory.

A separate subclass is defined for each corpus format. These subclasses define one or more methods that provide 'views' on the corpus contents, such as words() (for a list of words) and parsed_sents() (for a list of parsed sentences). Called with no arguments, these methods will return the contents of the entire corpus. For most corpora, these methods define one or more selection arguments, such as fileids or categories, which can be used to select which portion of the corpus should be returned.

Method __init__ No summary
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, encoding='utf8', tagset=None): (source)
Parameters
root:PathPointer or strA path pointer identifying the root directory for this corpus. If a string is specified, then it will be converted to a PathPointer automatically.
fileidsA 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. 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.
tagsetThe name of the tagset used by this corpus, to be used for normalizing or converting the POS tags returned by the tagged_...() methods.
def __repr__(self): (source)

Undocumented

def abspath(self, fileid): (source)

Return the absolute path for the given file.

Parameters
fileid:strThe file identifier for the file whose path should be returned.
Returns
PathPointerUndocumented
def abspaths(self, fileids=None, include_encoding=False, include_fileid=False): (source)

Return a list of the absolute paths for all fileids in this corpus; or for the given list of fileids, if specified.

Parameters
fileids:None or str or listSpecifies the set of fileids for which paths should be returned. Can be None, for all fileids; a list of file identifiers, for a specified set of fileids; or a single file identifier, for a single file. Note that the return value is always a list of paths, even if fileids is a single file identifier.
include_encodingIf true, then return a list of (path_pointer, encoding) tuples.
include_fileidUndocumented
Returns
list(PathPointer)Undocumented
def citation(self): (source)

Return the contents of the corpus citation.bib file, if it exists.

def encoding(self, file): (source)

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.

def ensure_loaded(self): (source)

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).

def license(self): (source)

Return the contents of the corpus LICENSE file, if it exists.

def open(self, file): (source)

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.

Parameters
fileThe file identifier of the file to read.

Undocumented

def _get_root(self): (source)

Undocumented

_encoding = (source)

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.

_fileids = (source)

A list of the relative paths for the fileids that make up this corpus.

The root directory for this corpus.