mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 09:57:26 +03:00
6e6650307d
* added tests * added pt vocab * transferred spanish * added syntax iters * fixed parenthesis * added nmod example * added relative pron * fixed rel pron * added rel subclause * corrected typo * added more NP chains * long sentence * fixed typo * fixed typo * fixed typo * corrected heads * added passive subj * added pass subj * added passive obj * refinement to rights * went back to odl * fixed test * fixed typo * fixed typo * formatted * Format * Format test cases Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
222 lines
7.6 KiB
Python
222 lines
7.6 KiB
Python
from spacy.tokens import Doc
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import pytest
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# fmt: off
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@pytest.mark.parametrize(
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"words,heads,deps,pos,chunk_offsets",
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[
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# determiner + noun
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# um cachorro -> um cachorro
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(
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["um", "cachorro"],
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[1, 1],
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["det", "ROOT"],
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["DET", "NOUN"],
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[(0, 2)],
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),
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# two determiners + noun
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# meu o pai -> meu o pai
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(
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["meu", "o", "pai"],
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[2, 2, 2],
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["det", "det", "ROOT"],
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["DET", "DET", "NOUN"],
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[(0, 3)],
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),
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# two determiners + noun
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# todos essos caros -> todos essos caros
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(
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["todos", "essos", "caros"],
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[2, 2, 2],
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["det", "det", "ROOT"],
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["DET", "DET", "NOUN"],
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[(0, 3)],
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),
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# two determiners, one is after noun
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# um irmão meu -> um irmão meu
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(
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["um", "irmão", "meu"],
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[1, 1, 1],
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["det", "ROOT", "det"],
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["DET", "NOUN", "DET"],
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[(0, 3)],
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),
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# two determiners + noun
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# o meu pai -> o meu pai
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(
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["o", "meu", "pai"],
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[2, 2, 2],
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["det","det", "ROOT"],
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["DET", "DET", "NOUN"],
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[(0, 3)],
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),
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# relative pronoun
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# A bicicleta essa está estragada -> A bicicleta
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(
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['A', 'bicicleta', 'essa', 'está', 'estragada'],
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[1, 4, 1, 4, 4],
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['det', 'nsubj', 'det', 'cop', 'ROOT'],
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['DET', 'NOUN', 'PRON', 'AUX', 'ADJ'],
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[(0,2)]
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),
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# relative subclause
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# o computador que comprou -> o computador
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(
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['o', 'computador', 'que', 'comprou'],
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[1, 1, 3, 1],
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['det', 'ROOT', 'nsubj', 'acl:relcl'],
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['DET', 'NOUN', 'PRON', 'VERB'],
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[(0, 2), (2, 3)]
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),
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# det + noun + adj
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# O cachorro marrom -> O cachorro marrom
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(
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["O", "cachorro", "marrom"],
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[1, 1, 1],
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["det", "ROOT", "amod"],
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["DET", "NOUN", "ADJ"],
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[(0, 3)],
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),
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# det + noun + adj plural
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# As calças baratas -> As calças baratas
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(
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["As", "calças", "baratas"],
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[1, 1, 1],
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["det", "ROOT", "amod"],
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["DET", "NOUN", "ADJ"],
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[(0, 3)],
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),
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# det + adj + noun
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# Uma boa ideia -> Uma boa ideia
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(
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['uma', 'boa', 'ideia'],
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[2, 2, 2],
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["det", "amod", "ROOT"],
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["DET", "ADJ", "NOUN"],
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[(0,3)]
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),
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# multiple adjectives
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# Uma garota esperta e inteligente -> Uma garota esperta e inteligente
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(
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["Uma", "garota", "esperta", "e", "inteligente"],
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[1, 1, 1, 4, 2],
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["det", "ROOT", "amod", "cc", "conj"],
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["DET", "NOUN", "ADJ", "CCONJ", "ADJ"],
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[(0,5)]
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),
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# determiner, adjective, compound created by flat
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# a grande São Paolo -> a grande São Paolo
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(
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["a", "grande", "São", "Paolo"],
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[2, 2, 2, 2],
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["det", "amod", "ROOT", "flat:name"],
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["DET", "ADJ", "PROPN", "PROPN"],
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[(0,4)]
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),
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# one determiner + one noun + one adjective qualified by an adverb
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# alguns fazendeiros muito ricos -> alguns fazendeiros muito ricos
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(
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['alguns', 'fazendeiros', 'muito', 'ricos'],
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[1, 1, 3, 1],
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['det', 'ROOT', 'advmod', 'amod'],
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['DET', 'NOUN', 'ADV', 'ADJ'],
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[(0,4)]
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),
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# Two NPs conjuncted
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# Eu tenho um cachorro e um gato -> Eu, um cacharo, um gato
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(
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["Eu", "tenho", "um", "cachorro", "e", "um", "gato"],
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[1, 1, 3, 1, 6, 6, 3],
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['nsubj', 'ROOT', 'det', 'obj', 'cc', 'det', 'conj'],
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['PRON', 'VERB', 'DET', 'NOUN', 'CCONJ', 'DET', 'NOUN'],
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[(0,1), (2,4), (5,7)]
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),
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# Two NPs together
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# o escritor brasileiro Aníbal Machado -> o escritor brasileiro, Aníbal Machado
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(
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['o', 'escritor', 'brasileiro', 'Aníbal', 'Machado'],
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[1, 1, 1, 1, 3],
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['det', 'ROOT', 'amod', 'appos', 'flat:name'],
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['DET', 'NOUN', 'ADJ', 'PROPN', 'PROPN'],
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[(0, 3), (3, 5)]
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),
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# Noun compound, person name and titles
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# Dom Pedro II -> Dom Pedro II
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(
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["Dom", "Pedro", "II"],
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[0, 0, 0],
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["ROOT", "flat:name", "flat:name"],
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["PROPN", "PROPN", "PROPN"],
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[(0,3)]
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),
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# Noun compound created by flat
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# os Estados Unidos -> os Estados Unidos
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(
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["os", "Estados", "Unidos"],
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[1, 1, 1],
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["det", "ROOT", "flat:name"],
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["DET", "PROPN", "PROPN"],
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[(0,3)]
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),
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# nmod relation between NPs
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# a destruição da cidade -> a destruição, cidade
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(
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['a', 'destruição', 'da', 'cidade'],
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[1, 1, 3, 1],
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['det', 'ROOT', 'case', 'nmod'],
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['DET', 'NOUN', 'ADP', 'NOUN'],
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[(0,2), (3,4)]
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),
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# Compounding by nmod, several NPs chained together
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# a primeira fábrica de medicamentos do governo -> a primeira fábrica, medicamentos, governo
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(
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["a", "primeira", "fábrica", "de", "medicamentos", "do", "governo"],
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[2, 2, 2, 4, 2, 6, 2],
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['det', 'amod', 'ROOT', 'case', 'nmod', 'case', 'nmod'],
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['DET', 'ADJ', 'NOUN', 'ADP', 'NOUN', 'ADP', 'NOUN'],
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[(0, 3), (4, 5), (6, 7)]
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),
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# several NPs
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# Tradução da reportagem de Susana -> Tradução, reportagem, Susana
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(
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['Tradução', 'da', 'reportagem', 'de', 'Susana'],
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[0, 2, 0, 4, 2],
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['ROOT', 'case', 'nmod', 'case', 'nmod'],
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['NOUN', 'ADP', 'NOUN', 'ADP', 'PROPN'],
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[(0,1), (2,3), (4,5)]
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),
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# Several NPs
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# O gato gordo da Susana e seu amigo -> O gato gordo, Susana, seu amigo
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(
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['O', 'gato', 'gordo', 'da', 'Susana', 'e', 'seu', 'amigo'],
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[1, 1, 1, 4, 1, 7, 7, 1],
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['det', 'ROOT', 'amod', 'case', 'nmod', 'cc', 'det', 'conj'],
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['DET', 'NOUN', 'ADJ', 'ADP', 'PROPN', 'CCONJ', 'DET', 'NOUN'],
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[(0,3), (4,5), (6,8)]
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),
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# Passive subject
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# Os novos gastos são alimentados pela grande conta bancária de Clinton -> Os novos gastos, grande conta bancária, Clinton
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(
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['Os', 'novos', 'gastos', 'são', 'alimentados', 'pela', 'grande', 'conta', 'bancária', 'de', 'Clinton'],
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[2, 2, 4, 4, 4, 7, 7, 4, 7, 10, 7],
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['det', 'amod', 'nsubj:pass', 'aux:pass', 'ROOT', 'case', 'amod', 'obl:agent', 'amod', 'case', 'nmod'],
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['DET', 'ADJ', 'NOUN', 'AUX', 'VERB', 'ADP', 'ADJ', 'NOUN', 'ADJ', 'ADP', 'PROPN'],
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[(0, 3), (6, 9), (10, 11)]
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)
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],
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)
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# fmt: on
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def test_pt_noun_chunks(pt_vocab, words, heads, deps, pos, chunk_offsets):
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doc = Doc(pt_vocab, words=words, heads=heads, deps=deps, pos=pos)
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assert [(c.start, c.end) for c in doc.noun_chunks] == chunk_offsets
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def test_noun_chunks_is_parsed_pt(pt_tokenizer):
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"""Test that noun_chunks raises Value Error for 'pt' language if Doc is not parsed."""
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doc = pt_tokenizer("en Oxford este verano")
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with pytest.raises(ValueError):
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list(doc.noun_chunks)
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