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38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Tests for Brill tagger.
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"""
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import unittest
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from nltk.tag import UnigramTagger, brill, brill_trainer
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from nltk.tbl import Template
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from nltk.corpus import treebank
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from nltk.tbl import demo
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class TestBrill(unittest.TestCase):
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def test_pos_template(self):
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train_sents = treebank.tagged_sents()[:1000]
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tagger = UnigramTagger(train_sents)
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trainer = brill_trainer.BrillTaggerTrainer(
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tagger, [brill.Template(brill.Pos([-1]))]
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)
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brill_tagger = trainer.train(train_sents)
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# Example from https://github.com/nltk/nltk/issues/769
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result = brill_tagger.tag('This is a foo bar sentence'.split())
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expected = [
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('This', 'DT'),
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('is', 'VBZ'),
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('a', 'DT'),
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('foo', None),
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('bar', 'NN'),
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('sentence', None),
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]
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self.assertEqual(result, expected)
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@unittest.skip("Should be tested in __main__ of nltk.tbl.demo")
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def test_brill_demo(self):
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demo()
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