2017-05-29 20:14:31 +00:00
|
|
|
from ...util import get_doc
|
|
|
|
|
|
|
|
|
|
|
|
def test_de_parser_noun_chunks_standard_de(de_tokenizer):
|
|
|
|
text = "Eine Tasse steht auf dem Tisch."
|
|
|
|
heads = [1, 1, 0, -1, 1, -2, -4]
|
2018-11-27 00:09:36 +00:00
|
|
|
tags = ["ART", "NN", "VVFIN", "APPR", "ART", "NN", "$."]
|
|
|
|
deps = ["nk", "sb", "ROOT", "mo", "nk", "nk", "punct"]
|
2017-05-29 20:14:31 +00:00
|
|
|
tokens = de_tokenizer(text)
|
2018-11-27 00:09:36 +00:00
|
|
|
doc = get_doc(
|
|
|
|
tokens.vocab, words=[t.text for t in tokens], tags=tags, deps=deps, heads=heads
|
|
|
|
)
|
2017-05-29 20:14:31 +00:00
|
|
|
chunks = list(doc.noun_chunks)
|
|
|
|
assert len(chunks) == 2
|
|
|
|
assert chunks[0].text_with_ws == "Eine Tasse "
|
|
|
|
assert chunks[1].text_with_ws == "dem Tisch "
|
|
|
|
|
|
|
|
|
|
|
|
def test_de_extended_chunk(de_tokenizer):
|
|
|
|
text = "Die Sängerin singt mit einer Tasse Kaffee Arien."
|
|
|
|
heads = [1, 1, 0, -1, 1, -2, -1, -5, -6]
|
2018-11-27 00:09:36 +00:00
|
|
|
tags = ["ART", "NN", "VVFIN", "APPR", "ART", "NN", "NN", "NN", "$."]
|
|
|
|
deps = ["nk", "sb", "ROOT", "mo", "nk", "nk", "nk", "oa", "punct"]
|
2017-05-29 20:14:31 +00:00
|
|
|
tokens = de_tokenizer(text)
|
2018-11-27 00:09:36 +00:00
|
|
|
doc = get_doc(
|
|
|
|
tokens.vocab, words=[t.text for t in tokens], tags=tags, deps=deps, heads=heads
|
|
|
|
)
|
2017-05-29 20:14:31 +00:00
|
|
|
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 "
|