Code Coverage for nltk.corpus.reader.ppattach
Untested Functions
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Partially Tested Functions
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"""
Read lines from the Prepositional Phrase Attachment Corpus.
The PP Attachment Corpus contains several files having the format:
sentence_id verb noun1 preposition noun2 attachment
For example:
42960 gives authority to administration V
46742 gives inventors of microchip N
The PP attachment is to the verb phrase (V) or noun phrase (N), i.e.:
(VP gives (NP authority) (PP to administration))
(VP gives (NP inventors (PP of microchip)))
The corpus contains the following files:
training: training set
devset: development test set, used for algorithm development.
test: test set, used to report results
bitstrings: word classes derived from Mutual Information Clustering for the Wall Street Journal.
Ratnaparkhi, Adwait (1994). A Maximum Entropy Model for Prepositional
Phrase Attachment. Proceedings of the ARPA Human Language Technology
Conference. [http://www.cis.upenn.edu/~adwait/papers/hlt94.ps]
The PP Attachment Corpus is distributed with NLTK with the permission
of the author.
"""
from util import *
from api import *
from nltk import tokenize
import codecs
from nltk.internals import deprecated
class PPAttachment:
def __init__(self, sent, verb, noun1, prep, noun2, attachment):
self.sent = sent
self.verb = verb
self.noun1 = noun1
self.prep = prep
self.noun2 = noun2
self.attachment = attachment
def __repr__(self):
return ('PPAttachment(sent=%r, verb=%r, noun1=%r, prep=%r, '
'noun2=%r, attachment=%r)' %
(self.sent, self.verb, self.noun1, self.prep,
self.noun2, self.attachment))
class PPAttachmentCorpusReader(CorpusReader):
"""
sentence_id verb noun1 preposition noun2 attachment
"""
def attachments(self, files):
return concat([StreamBackedCorpusView(filename, self._read_obj_block,
encoding=enc)
for (filename, enc) in self.abspaths(files, True)])
def tuples(self, files):
return concat([StreamBackedCorpusView(filename, self._read_tuple_block,
encoding=enc)
for (filename, enc) in self.abspaths(files, True)])
def raw(self, files=None):
if files is None: files = self._files
elif isinstance(files, basestring): files = [files]
return concat([self.open(f).read() for f in files])
def _read_tuple_block(self, stream):
line = stream.readline()
if line:
return [tuple(line.split())]
else:
return []
def _read_obj_block(self, stream):
line = stream.readline()
if line:
return [PPAttachment(*line.split())]
else:
return []
@deprecated("Use .tuples() or .raw() or .attachments() instead.")
def read(self, items, format='tuple'):
if format == 'tuple': return self.tuples(items)
if format == 'raw': return self.raw(items)
raise ValueError('bad format %r' % format)