Source code for nltk.corpus.reader.bnc

# Natural Language Toolkit: Plaintext Corpus Reader
#
# Copyright (C) 2001-2017 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT

"""Corpus reader for the XML version of the British National Corpus."""

from nltk.corpus.reader.util import concat
from nltk.corpus.reader.xmldocs import XMLCorpusReader, XMLCorpusView, ElementTree


[docs]class BNCCorpusReader(XMLCorpusReader): """Corpus reader for the XML version of the British National 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()``. You can obtain the full version of the BNC corpus at http://www.ota.ox.ac.uk/desc/2554 If you extracted the archive to a directory called `BNC`, then you can instantiate the reader as:: BNCCorpusReader(root='BNC/Texts/', fileids=r'[A-K]/\w*/\w*\.xml') """ def __init__(self, root, fileids, lazy=True): XMLCorpusReader.__init__(self, root, fileids) self._lazy = lazy
[docs] def words(self, fileids=None, strip_space=True, stem=False): """ :return: the given file(s) as a list of words and punctuation symbols. :rtype: list(str) :param strip_space: If true, then strip trailing spaces from word tokens. Otherwise, leave the spaces on the tokens. :param stem: If true, then use word stems instead of word strings. """ return self._views(fileids, False, None, strip_space, stem)
[docs] def tagged_words(self, fileids=None, c5=False, strip_space=True, stem=False): """ :return: the given file(s) as a list of tagged words and punctuation symbols, encoded as tuples ``(word,tag)``. :rtype: list(tuple(str,str)) :param c5: If true, then the tags used will be the more detailed c5 tags. Otherwise, the simplified tags will be used. :param strip_space: If true, then strip trailing spaces from word tokens. Otherwise, leave the spaces on the tokens. :param stem: If true, then use word stems instead of word strings. """ tag = 'c5' if c5 else 'pos' return self._views(fileids, False, tag, strip_space, stem)
[docs] def sents(self, fileids=None, strip_space=True, stem=False): """ :return: the given file(s) as a list of sentences or utterances, each encoded as a list of word strings. :rtype: list(list(str)) :param strip_space: If true, then strip trailing spaces from word tokens. Otherwise, leave the spaces on the tokens. :param stem: If true, then use word stems instead of word strings. """ return self._views(fileids, True, None, strip_space, stem)
[docs] def tagged_sents(self, fileids=None, c5=False, strip_space=True, stem=False): """ :return: the given file(s) as a list of sentences, each encoded as a list of ``(word,tag)`` tuples. :rtype: list(list(tuple(str,str))) :param c5: If true, then the tags used will be the more detailed c5 tags. Otherwise, the simplified tags will be used. :param strip_space: If true, then strip trailing spaces from word tokens. Otherwise, leave the spaces on the tokens. :param stem: If true, then use word stems instead of word strings. """ tag = 'c5' if c5 else 'pos' return self._views(fileids, sent=True, tag=tag, strip_space=strip_space, stem=stem)
def _views(self, fileids=None, sent=False, tag=False, strip_space=True, stem=False): """A helper function that instantiates BNCWordViews or the list of words/sentences.""" f = BNCWordView if self._lazy else self._words return concat([f(fileid, sent, tag, strip_space, stem) for fileid in self.abspaths(fileids)]) def _words(self, fileid, bracket_sent, tag, strip_space, stem): """ Helper used to implement the view methods -- returns a list of words or a list of sentences, optionally tagged. :param fileid: The name of the underlying file. :param bracket_sent: If true, include sentence bracketing. :param tag: The name of the tagset to use, or None for no tags. :param strip_space: If true, strip spaces from word tokens. :param stem: If true, then substitute stems for words. """ result = [] xmldoc = ElementTree.parse(fileid).getroot() for xmlsent in xmldoc.findall('.//s'): sent = [] for xmlword in _all_xmlwords_in(xmlsent): word = xmlword.text if not word: word = "" # fixes issue 337? if strip_space or stem: word = word.strip() if stem: word = xmlword.get('hw', word) if tag == 'c5': word = (word, xmlword.get('c5')) elif tag == 'pos': word = (word, xmlword.get('pos', xmlword.get('c5'))) sent.append(word) if bracket_sent: result.append(BNCSentence(xmlsent.attrib['n'], sent)) else: result.extend(sent) assert None not in result return result
def _all_xmlwords_in(elt, result=None): if result is None: result = [] for child in elt: if child.tag in ('c', 'w'): result.append(child) else: _all_xmlwords_in(child, result) return result
[docs]class BNCSentence(list): """ A list of words, augmented by an attribute ``num`` used to record the sentence identifier (the ``n`` attribute from the XML). """ def __init__(self, num, items): self.num = num list.__init__(self, items)
[docs]class BNCWordView(XMLCorpusView): """ A stream backed corpus view specialized for use with the BNC corpus. """ tags_to_ignore = set( ['pb', 'gap', 'vocal', 'event', 'unclear', 'shift', 'pause', 'align'] ) """These tags are ignored. For their description refer to the technical documentation, for example, http://www.natcorp.ox.ac.uk/docs/URG/ref-vocal.html """ def __init__(self, fileid, sent, tag, strip_space, stem): """ :param fileid: The name of the underlying file. :param sent: If true, include sentence bracketing. :param tag: The name of the tagset to use, or None for no tags. :param strip_space: If true, strip spaces from word tokens. :param stem: If true, then substitute stems for words. """ if sent: tagspec = '.*/s' else: tagspec = '.*/s/(.*/)?(c|w)' self._sent = sent self._tag = tag self._strip_space = strip_space self._stem = stem self.title = None #: Title of the document. self.author = None #: Author of the document. self.editor = None #: Editor self.resps = None #: Statement of responsibility XMLCorpusView.__init__(self, fileid, tagspec) # Read in a tasty header. self._open() self.read_block(self._stream, '.*/teiHeader$', self.handle_header) self.close() # Reset tag context. self._tag_context = {0: ()}
[docs] def handle_header(self, elt, context): # Set up some metadata! titles = elt.findall('titleStmt/title') if titles: self.title = '\n'.join(title.text.strip() for title in titles) authors = elt.findall('titleStmt/author') if authors: self.author = '\n'.join(author.text.strip() for author in authors) editors = elt.findall('titleStmt/editor') if editors: self.editor = '\n'.join(editor.text.strip() for editor in editors) resps = elt.findall('titleStmt/respStmt') if resps: self.resps = '\n\n'.join( '\n'.join( resp_elt.text.strip() for resp_elt in resp ) for resp in resps )
[docs] def handle_elt(self, elt, context): if self._sent: return self.handle_sent(elt) else: return self.handle_word(elt)
[docs] def handle_word(self, elt): word = elt.text if not word: word = "" # fixes issue 337? if self._strip_space or self._stem: word = word.strip() if self._stem: word = elt.get('hw', word) if self._tag == 'c5': word = (word, elt.get('c5')) elif self._tag == 'pos': word = (word, elt.get('pos', elt.get('c5'))) return word
[docs] def handle_sent(self, elt): sent = [] for child in elt: if child.tag in ('mw', 'hi', 'corr', 'trunc'): sent += [self.handle_word(w) for w in child] elif child.tag in ('w', 'c'): sent.append(self.handle_word(child)) elif child.tag not in self.tags_to_ignore: raise ValueError('Unexpected element %s' % child.tag) return BNCSentence(elt.attrib['n'], sent)