Example #1
0
 def __init__(self, params):
     hundisambig = Hundisambig(params['hundisambig_runnable'],
                               params['hundisambig_model'],
                               params['hundisambig_morphtable'],
                               params.get('ocamorph_encoding', 'iso-8859-2'),
                               True)
     self.morph_analyzer = HundisambigAnalyzer(hundisambig)
Example #2
0
class HundisambigWrapper(PosTaggerWrapper, LemmatizerWrapper):
    def __init__(self, params):
        hundisambig = Hundisambig(
            params['hundisambig_runnable'], params['hundisambig_model'],
            params['hundisambig_morphtable'],
            params.get('ocamorph_encoding', 'iso-8859-2'), True)
        self.morph_analyzer = HundisambigAnalyzer(hundisambig)

    def add_pos_and_stems(self, tokens):
        """Adds POS tags and lemmatizes the words in @c tokens."""
        for sen_i, sen in enumerate(tokens):
            if sen == []:
                continue
            # TODO The API expects [sentences+], but it can only handle one :(
            ret = list(self.morph_analyzer.analyze([[word[0]
                                                     for word in sen]]))[0]
            for tok_i, _ in enumerate(sen):
                try:
                    spl = ret[tok_i][1].rsplit('|', 2)
                    tokens[sen_i][tok_i].append(spl[2])
                    tokens[sen_i][tok_i].append(spl[0])
                except Exception, e:
                    logging.warning("Exception:", str(e))
                    logging.warning(unicode(sen[tok_i]).encode('utf-8'))
Example #3
0
class HundisambigWrapper(PosTaggerWrapper, LemmatizerWrapper):
    def __init__(self, params):
        hundisambig = Hundisambig(params['hundisambig_runnable'],
                                  params['hundisambig_model'],
                                  params['hundisambig_morphtable'],
                                  params.get('ocamorph_encoding', 'iso-8859-2'),
                                  True)
        self.morph_analyzer = HundisambigAnalyzer(hundisambig)

    def add_pos_and_stems(self, tokens):
        """Adds POS tags and lemmatizes the words in @c tokens."""
        for sen_i, sen in enumerate(tokens):
            if sen == []:
                continue
            # TODO The API expects [sentences+], but it can only handle one :(
            ret = list(self.morph_analyzer.analyze([[word[0] for word in sen]]))[0]
            for tok_i, _ in enumerate(sen):
                try:
                    spl = ret[tok_i][1].rsplit('|', 2)
                    tokens[sen_i][tok_i].append(spl[2])
                    tokens[sen_i][tok_i].append(spl[0])
                except Exception, e:
                    logging.warning("Exception:", str(e))
                    logging.warning(unicode(sen[tok_i]).encode('utf-8'))
Example #4
0
 def __init__(self, params):
     hundisambig = Hundisambig(
         params['hundisambig_runnable'], params['hundisambig_model'],
         params['hundisambig_morphtable'],
         params.get('ocamorph_encoding', 'iso-8859-2'), True)
     self.morph_analyzer = HundisambigAnalyzer(hundisambig)