mirror of https://github.com/explosion/spaCy.git
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
from ...util import get_doc
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def test_de_parser_noun_chunks_standard_de(de_tokenizer):
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text = "Eine Tasse steht auf dem Tisch."
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heads = [1, 1, 0, -1, 1, -2, -4]
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tags = ["ART", "NN", "VVFIN", "APPR", "ART", "NN", "$."]
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deps = ["nk", "sb", "ROOT", "mo", "nk", "nk", "punct"]
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tokens = de_tokenizer(text)
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doc = get_doc(
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tokens.vocab, words=[t.text for t in tokens], tags=tags, deps=deps, heads=heads
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)
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chunks = list(doc.noun_chunks)
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assert len(chunks) == 2
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assert chunks[0].text_with_ws == "Eine Tasse "
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assert chunks[1].text_with_ws == "dem Tisch "
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def test_de_extended_chunk(de_tokenizer):
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text = "Die Sängerin singt mit einer Tasse Kaffee Arien."
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heads = [1, 1, 0, -1, 1, -2, -1, -5, -6]
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tags = ["ART", "NN", "VVFIN", "APPR", "ART", "NN", "NN", "NN", "$."]
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deps = ["nk", "sb", "ROOT", "mo", "nk", "nk", "nk", "oa", "punct"]
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tokens = de_tokenizer(text)
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doc = get_doc(
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tokens.vocab, words=[t.text for t in tokens], tags=tags, deps=deps, heads=heads
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)
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chunks = list(doc.noun_chunks)
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assert len(chunks) == 3
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assert chunks[0].text_with_ws == "Die Sängerin "
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assert chunks[1].text_with_ws == "einer Tasse Kaffee "
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assert chunks[2].text_with_ws == "Arien "
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