spaCy/spacy/lang/la/syntax_iterators.py
Patrick J. Burns ab4ba04c32
Update LatinDefaults for lang 'la' (#12538)
* Add noun chunking to la syntax iterators

* Expand list of numeral, ordinal words

* Expand abbreviations in la tokenizer_exceptions

* Add example sents

* Update spacy/lang/la/syntax_iterators.py

Reorganize la syntax iterators

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Minor updates based on review

* fix call

---------

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
2023-04-20 16:55:40 +02:00

86 lines
2.3 KiB
Python

from typing import Union, Iterator, Tuple
from ...tokens import Doc, Span
from ...symbols import NOUN, PROPN, PRON, VERB, AUX
from ...errors import Errors
# NB: Modified from da on suggestion from https://github.com/explosion/spaCy/issues/7457#issuecomment-800349751 [PJB]
def noun_chunks(doclike: Union[Doc, Span]) -> Iterator[Tuple[int, int, int]]:
def is_verb_token(tok):
return tok.pos in [VERB, AUX]
def get_left_bound(root):
left_bound = root
for tok in reversed(list(root.lefts)):
if tok.dep in np_left_deps:
left_bound = tok
return left_bound
def get_right_bound(doc, root):
right_bound = root
for tok in root.rights:
if tok.dep in np_right_deps:
right = get_right_bound(doc, tok)
if list(
filter(
lambda t: is_verb_token(t) or t.dep in stop_deps,
doc[root.i : right.i],
)
):
break
else:
right_bound = right
return right_bound
def get_bounds(doc, root):
return get_left_bound(root), get_right_bound(doc, root)
doc = doclike.doc # Ensure works on both Doc and Span.
if not doc.has_annotation("DEP"):
raise ValueError(Errors.E029)
if not len(doc):
return
left_labels = [
"det",
"fixed",
"nmod:poss",
"amod",
"flat",
"goeswith",
"nummod",
"appos",
]
right_labels = [
"fixed",
"nmod:poss",
"amod",
"flat",
"goeswith",
"nummod",
"appos",
"nmod",
"det",
]
stop_labels = ["punct"]
np_label = doc.vocab.strings.add("NP")
np_left_deps = [doc.vocab.strings.add(label) for label in left_labels]
np_right_deps = [doc.vocab.strings.add(label) for label in right_labels]
stop_deps = [doc.vocab.strings.add(label) for label in stop_labels]
prev_right = -1
for token in doclike:
if token.pos in [PROPN, NOUN, PRON]:
left, right = get_bounds(doc, token)
if left.i <= prev_right:
continue
yield left.i, right.i + 1, np_label
prev_right = right.i
SYNTAX_ITERATORS = {"noun_chunks": noun_chunks}