spaCy/spacy/tests/lang/en/test_parser.py

from ...util import get_doc


def test_en_parser_noun_chunks_standard(en_tokenizer):
    text = "A base phrase should be recognized."
    heads = [2, 1, 3, 2, 1, 0, -1]
    pos = ["DET", "ADJ", "NOUN", "AUX", "VERB", "VERB", "PUNCT"]
    deps = ["det", "amod", "nsubjpass", "aux", "auxpass", "ROOT", "punct"]
    tokens = en_tokenizer(text)
    doc = get_doc(
        tokens.vocab, words=[t.text for t in tokens], pos=pos, deps=deps, heads=heads
    )
    chunks = list(doc.noun_chunks)
    assert len(chunks) == 1
    assert chunks[0].text_with_ws == "A base phrase "


def test_en_parser_noun_chunks_coordinated(en_tokenizer):
    # fmt: off
    text = "A base phrase and a good phrase are often the same."
    heads = [2, 1, 5, -1, 2, 1, -4, 0, -1, 1, -3, -4]
    pos = ["DET", "NOUN", "NOUN", "CCONJ", "DET", "ADJ", "NOUN", "VERB", "ADV", "DET", "ADJ", "PUNCT"]
    deps = ["det", "compound", "nsubj", "cc", "det", "amod", "conj", "ROOT", "advmod", "det", "attr", "punct"]
    # fmt: on
    tokens = en_tokenizer(text)
    doc = get_doc(
        tokens.vocab, words=[t.text for t in tokens], pos=pos, deps=deps, heads=heads
    )
    chunks = list(doc.noun_chunks)
    assert len(chunks) == 2
    assert chunks[0].text_with_ws == "A base phrase "
    assert chunks[1].text_with_ws == "a good phrase "


def test_en_parser_noun_chunks_pp_chunks(en_tokenizer):
    text = "A phrase with another phrase occurs."
    heads = [1, 4, -1, 1, -2, 0, -1]
    pos = ["DET", "NOUN", "ADP", "DET", "NOUN", "VERB", "PUNCT"]
    deps = ["det", "nsubj", "prep", "det", "pobj", "ROOT", "punct"]
    tokens = en_tokenizer(text)
    doc = get_doc(
        tokens.vocab, words=[t.text for t in tokens], pos=pos, deps=deps, heads=heads
    )
    chunks = list(doc.noun_chunks)
    assert len(chunks) == 2
    assert chunks[0].text_with_ws == "A phrase "
    assert chunks[1].text_with_ws == "another phrase "


def test_en_parser_noun_chunks_appositional_modifiers(en_tokenizer):
    # fmt: off
    text = "Sam, my brother, arrived to the house."
    heads = [5, -1, 1, -3, -4, 0, -1, 1, -2, -4]
    pos = ["PROPN", "PUNCT", "DET", "NOUN", "PUNCT", "VERB", "ADP", "DET", "NOUN", "PUNCT"]
    deps = ["nsubj", "punct", "poss", "appos", "punct", "ROOT", "prep", "det", "pobj", "punct"]
    # fmt: on
    tokens = en_tokenizer(text)
    doc = get_doc(
        tokens.vocab, words=[t.text for t in tokens], pos=pos, deps=deps, heads=heads
    )
    chunks = list(doc.noun_chunks)
    assert len(chunks) == 3
    assert chunks[0].text_with_ws == "Sam "
    assert chunks[1].text_with_ws == "my brother "
    assert chunks[2].text_with_ws == "the house "


def test_en_parser_noun_chunks_dative(en_tokenizer):
    text = "She gave Bob a raise."
    heads = [1, 0, -1, 1, -3, -4]
    pos = ["PRON", "VERB", "PROPN", "DET", "NOUN", "PUNCT"]
    deps = ["nsubj", "ROOT", "dative", "det", "dobj", "punct"]
    tokens = en_tokenizer(text)
    doc = get_doc(
        tokens.vocab, words=[t.text for t in tokens], pos=pos, deps=deps, heads=heads
    )
    chunks = list(doc.noun_chunks)
    assert len(chunks) == 3
    assert chunks[0].text_with_ws == "She "
    assert chunks[1].text_with_ws == "Bob "
    assert chunks[2].text_with_ws == "a raise "