mirror of
				https://github.com/explosion/spaCy.git
				synced 2025-11-04 01:48:04 +03:00 
			
		
		
		
	
		
			
				
	
	
		
			48 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			48 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# coding: utf-8
 | 
						|
from __future__ import unicode_literals
 | 
						|
 | 
						|
from ...util import get_doc
 | 
						|
 | 
						|
import pytest
 | 
						|
 | 
						|
 | 
						|
def test_parser_noun_chunks_standard(en_tokenizer):
 | 
						|
    text = "A base phrase should be recognized."
 | 
						|
    heads = [2, 1, 3, 2, 1, 0, -1]
 | 
						|
    tags = ['DT', 'JJ', 'NN', 'MD', 'VB', 'VBN', '.']
 | 
						|
    deps = ['det', 'amod', 'nsubjpass', 'aux', 'auxpass', 'ROOT', 'punct']
 | 
						|
 | 
						|
    tokens = en_tokenizer(text)
 | 
						|
    doc = get_doc(tokens.vocab, [t.text for t in tokens], tags=tags, deps=deps, heads=heads)
 | 
						|
    chunks = list(doc.noun_chunks)
 | 
						|
    assert len(chunks) == 1
 | 
						|
    assert chunks[0].text_with_ws == "A base phrase "
 | 
						|
 | 
						|
 | 
						|
def test_parser_noun_chunks_coordinated(en_tokenizer):
 | 
						|
    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]
 | 
						|
    tags = ['DT', 'NN', 'NN', 'CC', 'DT', 'JJ', 'NN', 'VBP', 'RB', 'DT', 'JJ', '.']
 | 
						|
    deps = ['det', 'compound', 'nsubj', 'cc', 'det', 'amod', 'conj', 'ROOT', 'advmod', 'det', 'attr', 'punct']
 | 
						|
 | 
						|
    tokens = en_tokenizer(text)
 | 
						|
    doc = get_doc(tokens.vocab, [t.text for t in tokens], tags=tags, 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_parser_noun_chunks_pp_chunks(en_tokenizer):
 | 
						|
    text = "A phrase with another phrase occurs."
 | 
						|
    heads = [1, 4, -1, 1, -2, 0, -1]
 | 
						|
    tags = ['DT', 'NN', 'IN', 'DT', 'NN', 'VBZ', '.']
 | 
						|
    deps = ['det', 'nsubj', 'prep', 'det', 'pobj', 'ROOT', 'punct']
 | 
						|
 | 
						|
    tokens = en_tokenizer(text)
 | 
						|
    doc = get_doc(tokens.vocab, [t.text for t in tokens], tags=tags, 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 "
 |