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413 lines
14 KiB
Python
413 lines
14 KiB
Python
"""
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A reader for corpora whose documents are in MTE format.
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"""
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import os
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import re
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from functools import reduce
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from nltk.corpus.reader import concat, TaggedCorpusReader
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from nltk.corpus.reader.xmldocs import XMLCorpusView
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def xpath(root, path, ns):
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return root.findall(path, ns)
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class MTECorpusView(XMLCorpusView):
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"""
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Class for lazy viewing the MTE Corpus.
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"""
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def __init__(self, fileid, tagspec, elt_handler=None):
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XMLCorpusView.__init__(self, fileid, tagspec, elt_handler)
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def read_block(self, stream, tagspec=None, elt_handler=None):
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return list(
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filter(
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lambda x: x is not None,
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XMLCorpusView.read_block(self, stream, tagspec, elt_handler),
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)
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)
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class MTEFileReader:
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"""
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Class for loading the content of the multext-east corpus. It
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parses the xml files and does some tag-filtering depending on the
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given method parameters.
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"""
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ns = {
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"tei": "http://www.tei-c.org/ns/1.0",
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"xml": "http://www.w3.org/XML/1998/namespace",
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}
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tag_ns = "{http://www.tei-c.org/ns/1.0}"
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xml_ns = "{http://www.w3.org/XML/1998/namespace}"
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word_path = "TEI/text/body/div/div/p/s/(w|c)"
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sent_path = "TEI/text/body/div/div/p/s"
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para_path = "TEI/text/body/div/div/p"
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def __init__(self, file_path):
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self.__file_path = file_path
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@classmethod
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def _word_elt(cls, elt, context):
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return elt.text
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@classmethod
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def _sent_elt(cls, elt, context):
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return [cls._word_elt(w, None) for w in xpath(elt, "*", cls.ns)]
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@classmethod
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def _para_elt(cls, elt, context):
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return [cls._sent_elt(s, None) for s in xpath(elt, "*", cls.ns)]
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@classmethod
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def _tagged_word_elt(cls, elt, context):
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if "ana" not in elt.attrib:
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return (elt.text, "")
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if cls.__tags == "" and cls.__tagset == "msd":
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return (elt.text, elt.attrib["ana"])
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elif cls.__tags == "" and cls.__tagset == "universal":
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return (elt.text, MTETagConverter.msd_to_universal(elt.attrib["ana"]))
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else:
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tags = re.compile("^" + re.sub("-", ".", cls.__tags) + ".*$")
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if tags.match(elt.attrib["ana"]):
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if cls.__tagset == "msd":
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return (elt.text, elt.attrib["ana"])
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else:
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return (
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elt.text,
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MTETagConverter.msd_to_universal(elt.attrib["ana"]),
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)
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else:
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return None
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@classmethod
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def _tagged_sent_elt(cls, elt, context):
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return list(
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filter(
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lambda x: x is not None,
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[cls._tagged_word_elt(w, None) for w in xpath(elt, "*", cls.ns)],
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)
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)
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@classmethod
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def _tagged_para_elt(cls, elt, context):
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return list(
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filter(
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lambda x: x is not None,
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[cls._tagged_sent_elt(s, None) for s in xpath(elt, "*", cls.ns)],
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)
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)
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@classmethod
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def _lemma_word_elt(cls, elt, context):
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if "lemma" not in elt.attrib:
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return (elt.text, "")
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else:
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return (elt.text, elt.attrib["lemma"])
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@classmethod
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def _lemma_sent_elt(cls, elt, context):
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return [cls._lemma_word_elt(w, None) for w in xpath(elt, "*", cls.ns)]
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@classmethod
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def _lemma_para_elt(cls, elt, context):
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return [cls._lemma_sent_elt(s, None) for s in xpath(elt, "*", cls.ns)]
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def words(self):
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return MTECorpusView(
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self.__file_path, MTEFileReader.word_path, MTEFileReader._word_elt
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)
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def sents(self):
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return MTECorpusView(
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self.__file_path, MTEFileReader.sent_path, MTEFileReader._sent_elt
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)
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def paras(self):
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return MTECorpusView(
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self.__file_path, MTEFileReader.para_path, MTEFileReader._para_elt
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)
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def lemma_words(self):
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return MTECorpusView(
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self.__file_path, MTEFileReader.word_path, MTEFileReader._lemma_word_elt
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)
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def tagged_words(self, tagset, tags):
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MTEFileReader.__tagset = tagset
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MTEFileReader.__tags = tags
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return MTECorpusView(
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self.__file_path, MTEFileReader.word_path, MTEFileReader._tagged_word_elt
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)
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def lemma_sents(self):
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return MTECorpusView(
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self.__file_path, MTEFileReader.sent_path, MTEFileReader._lemma_sent_elt
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)
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def tagged_sents(self, tagset, tags):
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MTEFileReader.__tagset = tagset
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MTEFileReader.__tags = tags
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return MTECorpusView(
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self.__file_path, MTEFileReader.sent_path, MTEFileReader._tagged_sent_elt
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)
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def lemma_paras(self):
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return MTECorpusView(
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self.__file_path, MTEFileReader.para_path, MTEFileReader._lemma_para_elt
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)
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def tagged_paras(self, tagset, tags):
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MTEFileReader.__tagset = tagset
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MTEFileReader.__tags = tags
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return MTECorpusView(
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self.__file_path, MTEFileReader.para_path, MTEFileReader._tagged_para_elt
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)
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class MTETagConverter:
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"""
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Class for converting msd tags to universal tags, more conversion
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options are currently not implemented.
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"""
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mapping_msd_universal = {
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"A": "ADJ",
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"S": "ADP",
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"R": "ADV",
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"C": "CONJ",
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"D": "DET",
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"N": "NOUN",
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"M": "NUM",
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"Q": "PRT",
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"P": "PRON",
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"V": "VERB",
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".": ".",
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"-": "X",
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}
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@staticmethod
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def msd_to_universal(tag):
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"""
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This function converts the annotation from the Multex-East to the universal tagset
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as described in Chapter 5 of the NLTK-Book
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Unknown Tags will be mapped to X. Punctuation marks are not supported in MSD tags, so
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"""
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indicator = tag[0] if not tag[0] == "#" else tag[1]
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if not indicator in MTETagConverter.mapping_msd_universal:
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indicator = "-"
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return MTETagConverter.mapping_msd_universal[indicator]
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class MTECorpusReader(TaggedCorpusReader):
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"""
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Reader for corpora following the TEI-p5 xml scheme, such as MULTEXT-East.
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MULTEXT-East contains part-of-speech-tagged words with a quite precise tagging
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scheme. These tags can be converted to the Universal tagset
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"""
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def __init__(self, root=None, fileids=None, encoding="utf8"):
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"""
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Construct a new MTECorpusreader for a set of documents
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located at the given root directory. Example usage:
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>>> root = '/...path to corpus.../'
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>>> reader = MTECorpusReader(root, 'oana-*.xml', 'utf8') # doctest: +SKIP
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:param root: The root directory for this corpus. (default points to location in multext config file)
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:param fileids: A list or regexp specifying the fileids in this corpus. (default is oana-en.xml)
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:param enconding: The encoding of the given files (default is utf8)
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"""
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TaggedCorpusReader.__init__(self, root, fileids, encoding)
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def __fileids(self, fileids):
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if fileids is None:
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fileids = self._fileids
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elif isinstance(fileids, str):
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fileids = [fileids]
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# filter wrong userinput
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fileids = filter(lambda x: x in self._fileids, fileids)
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# filter multext-east sourcefiles that are not compatible to the teip5 specification
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fileids = filter(lambda x: x not in ["oana-bg.xml", "oana-mk.xml"], fileids)
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if not fileids:
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print("No valid multext-east file specified")
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return fileids
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def readme(self):
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"""
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Prints some information about this corpus.
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:return: the content of the attached README file
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:rtype: str
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"""
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return self.open("00README.txt").read()
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def raw(self, fileids=None):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:return: the given file(s) as a single string.
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:rtype: str
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"""
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return reduce([self.open(f).read() for f in self.__fileids(fileids)], [])
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def words(self, fileids=None):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:return: the given file(s) as a list of words and punctuation symbols.
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:rtype: list(str)
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"""
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).words()
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for f in self.__fileids(fileids)
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]
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)
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def sents(self, fileids=None):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:return: the given file(s) as a list of sentences or utterances,
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each encoded as a list of word strings
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:rtype: list(list(str))
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"""
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).sents()
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for f in self.__fileids(fileids)
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]
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)
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def paras(self, fileids=None):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:return: the given file(s) as a list of paragraphs, each encoded as a list
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of sentences, which are in turn encoded as lists of word string
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:rtype: list(list(list(str)))
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"""
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).paras()
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for f in self.__fileids(fileids)
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]
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)
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def lemma_words(self, fileids=None):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:return: the given file(s) as a list of words, the corresponding lemmas
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and punctuation symbols, encoded as tuples (word, lemma)
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:rtype: list(tuple(str,str))
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"""
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).lemma_words()
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for f in self.__fileids(fileids)
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]
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)
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def tagged_words(self, fileids=None, tagset="msd", tags=""):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:param tagset: The tagset that should be used in the returned object,
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either "universal" or "msd", "msd" is the default
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:param tags: An MSD Tag that is used to filter all parts of the used corpus
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that are not more precise or at least equal to the given tag
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:return: the given file(s) as a list of tagged words and punctuation symbols
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encoded as tuples (word, tag)
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:rtype: list(tuple(str, str))
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"""
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if tagset == "universal" or tagset == "msd":
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).tagged_words(
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tagset, tags
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)
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for f in self.__fileids(fileids)
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]
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)
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else:
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print("Unknown tagset specified.")
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def lemma_sents(self, fileids=None):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:return: the given file(s) as a list of sentences or utterances, each
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encoded as a list of tuples of the word and the corresponding
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lemma (word, lemma)
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:rtype: list(list(tuple(str, str)))
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"""
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).lemma_sents()
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for f in self.__fileids(fileids)
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]
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)
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def tagged_sents(self, fileids=None, tagset="msd", tags=""):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:param tagset: The tagset that should be used in the returned object,
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either "universal" or "msd", "msd" is the default
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:param tags: An MSD Tag that is used to filter all parts of the used corpus
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that are not more precise or at least equal to the given tag
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:return: the given file(s) as a list of sentences or utterances, each
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each encoded as a list of (word,tag) tuples
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:rtype: list(list(tuple(str, str)))
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"""
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if tagset == "universal" or tagset == "msd":
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).tagged_sents(
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tagset, tags
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)
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for f in self.__fileids(fileids)
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]
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)
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else:
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print("Unknown tagset specified.")
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def lemma_paras(self, fileids=None):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:return: the given file(s) as a list of paragraphs, each encoded as a
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list of sentences, which are in turn encoded as a list of
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tuples of the word and the corresponding lemma (word, lemma)
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:rtype: list(List(List(tuple(str, str))))
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"""
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).lemma_paras()
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for f in self.__fileids(fileids)
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]
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)
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def tagged_paras(self, fileids=None, tagset="msd", tags=""):
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"""
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:param fileids: A list specifying the fileids that should be used.
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:param tagset: The tagset that should be used in the returned object,
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either "universal" or "msd", "msd" is the default
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:param tags: An MSD Tag that is used to filter all parts of the used corpus
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that are not more precise or at least equal to the given tag
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:return: the given file(s) as a list of paragraphs, each encoded as a
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list of sentences, which are in turn encoded as a list
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of (word,tag) tuples
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:rtype: list(list(list(tuple(str, str))))
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"""
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if tagset == "universal" or tagset == "msd":
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return concat(
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[
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MTEFileReader(os.path.join(self._root, f)).tagged_paras(
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tagset, tags
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)
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for f in self.__fileids(fileids)
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]
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)
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else:
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print("Unknown tagset specified.")
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