ai-content-maker/.venv/Lib/site-packages/spacy/tests/lang/de/test_parser.py

29 lines
1.2 KiB
Python

from spacy.tokens import Doc
def test_de_parser_noun_chunks_standard_de(de_vocab):
words = ["Eine", "Tasse", "steht", "auf", "dem", "Tisch", "."]
heads = [1, 2, 2, 2, 5, 3, 2]
pos = ["DET", "NOUN", "VERB", "ADP", "DET", "NOUN", "PUNCT"]
deps = ["nk", "sb", "ROOT", "mo", "nk", "nk", "punct"]
doc = Doc(de_vocab, words=words, pos=pos, deps=deps, heads=heads)
chunks = list(doc.noun_chunks)
assert len(chunks) == 2
assert chunks[0].text_with_ws == "Eine Tasse "
assert chunks[1].text_with_ws == "dem Tisch "
def test_de_extended_chunk(de_vocab):
# fmt: off
words = ["Die", "Sängerin", "singt", "mit", "einer", "Tasse", "Kaffee", "Arien", "."]
heads = [1, 2, 2, 2, 5, 3, 5, 2, 2]
pos = ["DET", "NOUN", "VERB", "ADP", "DET", "NOUN", "NOUN", "NOUN", "PUNCT"]
deps = ["nk", "sb", "ROOT", "mo", "nk", "nk", "nk", "oa", "punct"]
# fmt: on
doc = Doc(de_vocab, words=words, pos=pos, deps=deps, heads=heads)
chunks = list(doc.noun_chunks)
assert len(chunks) == 3
assert chunks[0].text_with_ws == "Die Sängerin "
assert chunks[1].text_with_ws == "einer Tasse Kaffee "
assert chunks[2].text_with_ws == "Arien "