mirror of
https://github.com/explosion/spaCy.git
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232 lines
8.2 KiB
Python
232 lines
8.2 KiB
Python
import pytest
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from spacy.tokens import Doc
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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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# un nom -> un nom
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(
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["un", "nom"],
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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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# determiner + noun starting with vowel
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# l'heure -> l'heure
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(
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["l'", "heure"],
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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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# determiner + plural noun
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# les romans -> les romans
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(
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["les", "romans"],
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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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# det + adj + noun
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# Le vieux Londres -> Le vieux Londres
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(
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['Les', 'vieux', 'Londres'],
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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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# det + noun + adj
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# le nom propre -> le nom propre a proper noun
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(
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["le", "nom", "propre"],
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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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# Les chiens bruns -> les chiens bruns
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(
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["Les", "chiens", "bruns"],
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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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# multiple adjectives: one adj before the noun, one adj after the noun
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# un nouveau film intéressant -> un nouveau film intéressant
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(
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["un", "nouveau", "film", "intéressant"],
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[2, 2, 2, 2],
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["det", "amod", "ROOT", "amod"],
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["DET", "ADJ", "NOUN", "ADJ"],
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[(0,4)]
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),
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# multiple adjectives, both adjs after the noun
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# une personne intelligente et drôle -> une personne intelligente et drôle
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(
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["une", "personne", "intelligente", "et", "drôle"],
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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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# relative pronoun
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# un bus qui va au ville -> un bus, qui, ville
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(
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['un', 'bus', 'qui', 'va', 'au', 'ville'],
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[1, 1, 3, 1, 5, 3],
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['det', 'ROOT', 'nsubj', 'acl:relcl', 'case', 'obl:arg'],
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['DET', 'NOUN', 'PRON', 'VERB', 'ADP', 'NOUN'],
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[(0,2), (2,3), (5,6)]
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),
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# relative subclause
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# Voilà la maison que nous voulons acheter -> la maison, nous That's the house that we want to buy.
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(
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['Voilà', 'la', 'maison', 'que', 'nous', 'voulons', 'acheter'],
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[0, 2, 0, 5, 5, 2, 5],
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['ROOT', 'det', 'obj', 'mark', 'nsubj', 'acl:relcl', 'xcomp'],
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['VERB', 'DET', 'NOUN', 'SCONJ', 'PRON', 'VERB', 'VERB'],
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[(1,3), (4,5)]
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),
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# Person name and title by flat
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# Louis XIV -> Louis XIV
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(
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["Louis", "XIV"],
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[0, 0],
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["ROOT", "flat:name"],
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["PROPN", "PROPN"],
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[(0,2)]
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),
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# Organization name by flat
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# Nations Unies -> Nations Unies
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(
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["Nations", "Unies"],
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[0, 0],
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["ROOT", "flat:name"],
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["PROPN", "PROPN"],
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[(0,2)]
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),
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# Noun compound, person name created by two flats
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# Louise de Bratagne -> Louise de Bratagne
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(
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["Louise", "de", "Bratagne"],
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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, person name created by two flats
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# Louis François Joseph -> Louis François Joseph
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(
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["Louis", "François", "Joseph"],
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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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# one determiner + one noun + one adjective qualified by an adverb
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# quelques agriculteurs très riches -> quelques agriculteurs très riches
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(
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["quelques", "agriculteurs", "très", "riches"],
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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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# Il a un chien et un chat -> Il, un chien, un chat
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(
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['Il', 'a', 'un', 'chien', 'et', 'un', 'chat'],
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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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# l'écrivain brésilien Aníbal Machado -> l'écrivain brésilien, Aníbal Machado
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(
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["l'", 'écrivain', 'brésilien', '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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# nmod relation between NPs
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# la destruction de la ville -> la destruction, la ville
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(
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['la', 'destruction', 'de', 'la', 'ville'],
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[1, 1, 4, 4, 1],
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['det', 'ROOT', 'case', 'det', 'nmod'],
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['DET', 'NOUN', 'ADP', 'DET', 'NOUN'],
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[(0,2), (3,5)]
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),
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# nmod relation between NPs
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# Archiduchesse d’Autriche -> Archiduchesse, Autriche
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(
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['Archiduchesse', 'd’', 'Autriche'],
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[0, 2, 0],
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['ROOT', 'case', 'nmod'],
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['NOUN', 'ADP', 'PROPN'],
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[(0,1), (2,3)]
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),
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# Compounding by nmod, several NPs chained together
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# la première usine de drogue du gouvernement -> la première usine, drogue, gouvernement
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(
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["la", "première", "usine", "de", "drogue", "du", "gouvernement"],
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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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# Traduction du rapport de Susana -> Traduction, rapport, Susana
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(
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['Traduction', 'du', 'raport', '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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# Le gros chat de Susana et son amie -> Le gros chat, Susana, son amie
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(
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['Le', 'gros', 'chat', 'de', 'Susana', 'et', 'son', 'amie'],
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[2, 2, 2, 4, 2, 7, 7, 2],
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['det', 'amod', 'ROOT', 'case', 'nmod', 'cc', 'det', 'conj'],
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['DET', 'ADJ', 'NOUN', '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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# Les nouvelles dépenses sont alimentées par le grand compte bancaire de Clinton -> Les nouvelles dépenses, le grand compte bancaire, Clinton
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(
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['Les', 'nouvelles', 'dépenses', 'sont', 'alimentées', 'par', 'le', 'grand', 'compte', 'bancaire', 'de', 'Clinton'],
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[2, 2, 4, 4, 4, 8, 8, 8, 4, 8, 11, 8],
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['det', 'amod', 'nsubj:pass', 'aux:pass', 'ROOT', 'case', 'det', 'amod', 'obl:agent', 'amod', 'case', 'nmod'],
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['DET', 'ADJ', 'NOUN', 'AUX', 'VERB', 'ADP', 'DET', 'ADJ', 'NOUN', 'ADJ', 'ADP', 'PROPN'],
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[(0, 3), (6, 10), (11, 12)]
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)
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],
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)
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# fmt: on
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def test_fr_noun_chunks(fr_vocab, words, heads, deps, pos, chunk_offsets):
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doc = Doc(fr_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_fr(fr_tokenizer):
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"""Test that noun_chunks raises Value Error for 'fr' language if Doc is not parsed."""
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doc = fr_tokenizer("Je suis allé à l'école")
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with pytest.raises(ValueError):
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list(doc.noun_chunks)
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