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e3222fdec9
* add syntax iterators for danish * add test noun chunks for danish syntax iterators * add contributor agreement * update da syntax iterators to remove nested chunks * add tests for da noun chunks * Fix test * add missing import * fix example * Prevent overlapping noun chunks Prevent overlapping noun chunks by tracking the end index of the previous noun chunk span. Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from ...util import get_doc
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def test_noun_chunks_is_parsed(da_tokenizer):
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"""Test that noun_chunks raises Value Error for 'da' language if Doc is not parsed.
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To check this test, we're constructing a Doc
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with a new Vocab here and forcing is_parsed to 'False'
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to make sure the noun chunks don't run.
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"""
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doc = da_tokenizer("Det er en sætning")
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doc.is_parsed = False
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with pytest.raises(ValueError):
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list(doc.noun_chunks)
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DA_NP_TEST_EXAMPLES = [
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(
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"Hun elsker at plukker frugt.",
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['PRON', 'VERB', 'PART', 'VERB', 'NOUN', 'PUNCT'],
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['nsubj', 'ROOT', 'mark', 'obj', 'obj', 'punct'],
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[1, 0, 1, -2, -1, -4],
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["Hun", "frugt"],
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),
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(
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"Påfugle er de smukkeste fugle.",
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['NOUN', 'AUX', 'DET', 'ADJ', 'NOUN', 'PUNCT'],
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['nsubj', 'cop', 'det', 'amod', 'ROOT', 'punct'],
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[4, 3, 2, 1, 0, -1],
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["Påfugle", "de smukkeste fugle"],
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),
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(
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"Rikke og Jacob Jensen glæder sig til en hyggelig skovtur",
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['PROPN', 'CCONJ', 'PROPN', 'PROPN', 'VERB', 'PRON', 'ADP', 'DET', 'ADJ', 'NOUN'],
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['nsubj', 'cc', 'conj', 'flat', 'ROOT', 'obj', 'case', 'det', 'amod', 'obl'],
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[4, 1, -2, -1, 0, -1, 3, 2, 1, -5],
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["Rikke", "Jacob Jensen", "sig", "en hyggelig skovtur"],
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),
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]
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@pytest.mark.parametrize(
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"text,pos,deps,heads,expected_noun_chunks", DA_NP_TEST_EXAMPLES
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)
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def test_da_noun_chunks(da_tokenizer, text, pos, deps, heads, expected_noun_chunks):
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tokens = da_tokenizer(text)
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assert len(heads) == len(pos)
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doc = get_doc(
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tokens.vocab, words=[t.text for t in tokens], heads=heads, deps=deps, pos=pos
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)
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noun_chunks = list(doc.noun_chunks)
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assert len(noun_chunks) == len(expected_noun_chunks)
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for i, np in enumerate(noun_chunks):
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assert np.text == expected_noun_chunks[i]
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