nltk.corpus.reader.MTECorpusReader

class documentation

class MTECorpusReader(TaggedCorpusReader): (source)

Constructor: MTECorpusReader(root, fileids, encoding)

Reader for corpora following the TEI-p5 xml scheme, such as MULTEXT-East. MULTEXT-East contains part-of-speech-tagged words with a quite precise tagging scheme. These tags can be converted to the Universal tagset

Method	`__init__`	Construct a new MTECorpusreader for a set of documents located at the given root directory. Example usage:
Method	`lemma_paras`	No summary
Method	`lemma_sents`	No summary
Method	`lemma_words`	No summary
Method	`paras`	No summary
Method	`raw`	No summary
Method	`readme`	Prints some information about this corpus. :return: the content of the attached README file :rtype: str
Method	`sents`	No summary
Method	`tagged_paras`	No summary
Method	`tagged_sents`	No summary
Method	`tagged_words`	No summary
Method	`words`	No summary
Method	`__fileids`	Undocumented

Inherited from TaggedCorpusReader:

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 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	`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.
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=None, fileids=None, encoding='utf8'): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.__init__

Construct a new MTECorpusreader for a set of documents located at the given root directory. Example usage:

>>> root = '/...path to corpus.../'
>>> reader = MTECorpusReader(root, 'oana-*.xml', 'utf8') # doctest: +SKIP

Parameters
root	The root directory for this corpus. (default points to location in multext config file)
fileids	A list or regexp specifying the fileids in this corpus. (default is oana-en.xml)
encoding	Undocumented
enconding	The encoding of the given files (default is utf8)

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

Parameters
fileids	A list specifying the fileids that should be used.
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 a list of tuples of the word and the corresponding lemma (word, lemma)

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

Parameters
fileids	A list specifying the fileids that should be used.
Returns
list(list(tuple(str, str)))	the given file(s) as a list of sentences or utterances, each encoded as a list of tuples of the word and the corresponding lemma (word, lemma)

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

Parameters
fileids	A list specifying the fileids that should be used.
Returns
list(tuple(str,str))	the given file(s) as a list of words, the corresponding lemmas and punctuation symbols, encoded as tuples (word, lemma)

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

overrides nltk.corpus.reader.TaggedCorpusReader.paras

Parameters
fileids	A list specifying the fileids that should be used.
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 string

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

overrides nltk.corpus.reader.TaggedCorpusReader.raw

Parameters
fileids	A list specifying the fileids that should be used.
Returns
str	the given file(s) as a single string.

def readme(self): (source) ¶

overrides nltk.corpus.reader.CorpusReader.readme

Prints some information about this corpus. :return: the content of the attached README file :rtype: str

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

overrides nltk.corpus.reader.TaggedCorpusReader.sents

Parameters
fileids	A list specifying the fileids that should be used.
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, tagset='msd', tags=''): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.tagged_paras

Parameters
fileids	A list specifying the fileids that should be used.
tagset	The tagset that should be used in the returned object, either "universal" or "msd", "msd" is the default
tags	An MSD Tag that is used to filter all parts of the used corpus that are not more precise or at least equal to the given tag
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 a list of (word,tag) tuples

def tagged_sents(self, fileids=None, tagset='msd', tags=''): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.tagged_sents

Parameters
fileids	A list specifying the fileids that should be used.
tagset	The tagset that should be used in the returned object, either "universal" or "msd", "msd" is the default
tags	An MSD Tag that is used to filter all parts of the used corpus that are not more precise or at least equal to the given tag
Returns
list(list(tuple(str, str)))	the given file(s) as a list of sentences or utterances, each each encoded as a list of (word,tag) tuples

def tagged_words(self, fileids=None, tagset='msd', tags=''): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.tagged_words

Parameters
fileids	A list specifying the fileids that should be used.
tagset	The tagset that should be used in the returned object, either "universal" or "msd", "msd" is the default
tags	An MSD Tag that is used to filter all parts of the used corpus that are not more precise or at least equal to the given tag
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): (source) ¶

overrides nltk.corpus.reader.TaggedCorpusReader.words

Parameters
fileids	A list specifying the fileids that should be used.
Returns
list(str)	the given file(s) as a list of words and punctuation symbols.

def __fileids(self, fileids): (source) ¶

Undocumented