mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 12:18:04 +03:00
39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
# coding: utf8
|
|
from __future__ import unicode_literals
|
|
|
|
from ...symbols import NOUN, PROPN, PRON
|
|
|
|
|
|
def noun_chunks(obj):
|
|
"""
|
|
Detect base noun phrases from a dependency parse. Works on both Doc and Span.
|
|
"""
|
|
# this iterator extracts spans headed by NOUNs starting from the left-most
|
|
# syntactic dependent until the NOUN itself for close apposition and
|
|
# measurement construction, the span is sometimes extended to the right of
|
|
# the NOUN. Example: "eine Tasse Tee" (a cup (of) tea) returns "eine Tasse Tee"
|
|
# and not just "eine Tasse", same for "das Thema Familie".
|
|
labels = ['sb', 'oa', 'da', 'nk', 'mo', 'ag', 'ROOT', 'root', 'cj', 'pd', 'og', 'app']
|
|
doc = obj.doc # Ensure works on both Doc and Span.
|
|
np_label = doc.vocab.strings['NP']
|
|
np_deps = set(doc.vocab.strings[label] for label in labels)
|
|
close_app = doc.vocab.strings['nk']
|
|
|
|
rbracket = 0
|
|
for i, word in enumerate(obj):
|
|
if i < rbracket:
|
|
continue
|
|
if word.pos in (NOUN, PROPN, PRON) and word.dep in np_deps:
|
|
rbracket = word.i+1
|
|
# try to extend the span to the right
|
|
# to capture close apposition/measurement constructions
|
|
for rdep in doc[word.i].rights:
|
|
if rdep.pos in (NOUN, PROPN) and rdep.dep == close_app:
|
|
rbracket = rdep.i+1
|
|
yield word.left_edge.i, rbracket, np_label
|
|
|
|
|
|
SYNTAX_ITERATORS = {
|
|
'noun_chunks': noun_chunks
|
|
}
|