mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 11:29:13 +03:00
8e7557656f
* version bump to 3.0.0a16 * rename "gold" folder to "training" * rename 'annotation_setter' to 'set_extra_annotations' * formatting
113 lines
4.6 KiB
Python
113 lines
4.6 KiB
Python
import random
|
|
import itertools
|
|
|
|
|
|
def make_orth_variants_example(nlp, example, orth_variant_level=0.0): # TODO: naming
|
|
raw_text = example.text
|
|
orig_dict = example.to_dict()
|
|
variant_text, variant_token_annot = make_orth_variants(
|
|
nlp, raw_text, orig_dict["token_annotation"], orth_variant_level
|
|
)
|
|
doc = nlp.make_doc(variant_text)
|
|
orig_dict["token_annotation"] = variant_token_annot
|
|
return example.from_dict(doc, orig_dict)
|
|
|
|
|
|
def make_orth_variants(nlp, raw_text, orig_token_dict, orth_variant_level=0.0):
|
|
if random.random() >= orth_variant_level:
|
|
return raw_text, orig_token_dict
|
|
if not orig_token_dict:
|
|
return raw_text, orig_token_dict
|
|
raw = raw_text
|
|
token_dict = orig_token_dict
|
|
lower = False
|
|
if random.random() >= 0.5:
|
|
lower = True
|
|
if raw is not None:
|
|
raw = raw.lower()
|
|
orth_variants = nlp.vocab.lookups.get_table("orth_variants", {})
|
|
ndsv = orth_variants.get("single", [])
|
|
ndpv = orth_variants.get("paired", [])
|
|
words = token_dict.get("words", [])
|
|
tags = token_dict.get("tags", [])
|
|
# keep unmodified if words or tags are not defined
|
|
if words and tags:
|
|
if lower:
|
|
words = [w.lower() for w in words]
|
|
# single variants
|
|
punct_choices = [random.choice(x["variants"]) for x in ndsv]
|
|
for word_idx in range(len(words)):
|
|
for punct_idx in range(len(ndsv)):
|
|
if (
|
|
tags[word_idx] in ndsv[punct_idx]["tags"]
|
|
and words[word_idx] in ndsv[punct_idx]["variants"]
|
|
):
|
|
words[word_idx] = punct_choices[punct_idx]
|
|
# paired variants
|
|
punct_choices = [random.choice(x["variants"]) for x in ndpv]
|
|
for word_idx in range(len(words)):
|
|
for punct_idx in range(len(ndpv)):
|
|
if tags[word_idx] in ndpv[punct_idx]["tags"] and words[
|
|
word_idx
|
|
] in itertools.chain.from_iterable(ndpv[punct_idx]["variants"]):
|
|
# backup option: random left vs. right from pair
|
|
pair_idx = random.choice([0, 1])
|
|
# best option: rely on paired POS tags like `` / ''
|
|
if len(ndpv[punct_idx]["tags"]) == 2:
|
|
pair_idx = ndpv[punct_idx]["tags"].index(tags[word_idx])
|
|
# next best option: rely on position in variants
|
|
# (may not be unambiguous, so order of variants matters)
|
|
else:
|
|
for pair in ndpv[punct_idx]["variants"]:
|
|
if words[word_idx] in pair:
|
|
pair_idx = pair.index(words[word_idx])
|
|
words[word_idx] = punct_choices[punct_idx][pair_idx]
|
|
token_dict["words"] = words
|
|
token_dict["tags"] = tags
|
|
# modify raw
|
|
if raw is not None:
|
|
variants = []
|
|
for single_variants in ndsv:
|
|
variants.extend(single_variants["variants"])
|
|
for paired_variants in ndpv:
|
|
variants.extend(
|
|
list(itertools.chain.from_iterable(paired_variants["variants"]))
|
|
)
|
|
# store variants in reverse length order to be able to prioritize
|
|
# longer matches (e.g., "---" before "--")
|
|
variants = sorted(variants, key=lambda x: len(x))
|
|
variants.reverse()
|
|
variant_raw = ""
|
|
raw_idx = 0
|
|
# add initial whitespace
|
|
while raw_idx < len(raw) and raw[raw_idx].isspace():
|
|
variant_raw += raw[raw_idx]
|
|
raw_idx += 1
|
|
for word in words:
|
|
match_found = False
|
|
# skip whitespace words
|
|
if word.isspace():
|
|
match_found = True
|
|
# add identical word
|
|
elif word not in variants and raw[raw_idx:].startswith(word):
|
|
variant_raw += word
|
|
raw_idx += len(word)
|
|
match_found = True
|
|
# add variant word
|
|
else:
|
|
for variant in variants:
|
|
if not match_found and raw[raw_idx:].startswith(variant):
|
|
raw_idx += len(variant)
|
|
variant_raw += word
|
|
match_found = True
|
|
# something went wrong, abort
|
|
# (add a warning message?)
|
|
if not match_found:
|
|
return raw_text, orig_token_dict
|
|
# add following whitespace
|
|
while raw_idx < len(raw) and raw[raw_idx].isspace():
|
|
variant_raw += raw[raw_idx]
|
|
raw_idx += 1
|
|
raw = variant_raw
|
|
return raw, token_dict
|