mirror of
https://github.com/explosion/spaCy.git
synced 2025-10-31 07:57:35 +03:00
76 lines
2.2 KiB
Python
76 lines
2.2 KiB
Python
from __future__ import unicode_literals, print_function
|
|
import json
|
|
import pathlib
|
|
import random
|
|
|
|
import spacy
|
|
from spacy.pipeline import DependencyParser
|
|
from spacy.gold import GoldParse
|
|
from spacy.tokens import Doc
|
|
|
|
|
|
def train_parser(nlp, train_data, left_labels, right_labels):
|
|
parser = DependencyParser(
|
|
nlp.vocab,
|
|
left_labels=left_labels,
|
|
right_labels=right_labels)
|
|
for itn in range(1000):
|
|
random.shuffle(train_data)
|
|
loss = 0
|
|
for words, heads, deps in train_data:
|
|
doc = Doc(nlp.vocab, words=words)
|
|
gold = GoldParse(doc, heads=heads, deps=deps)
|
|
loss += parser.update(doc, gold)
|
|
parser.model.end_training()
|
|
return parser
|
|
|
|
|
|
def main(model_dir=None):
|
|
if model_dir is not None:
|
|
model_dir = pathlb.Path(model_dir)
|
|
if not model_dir.exists():
|
|
model_dir.mkdir()
|
|
assert model_dir.isdir()
|
|
|
|
nlp = spacy.load('en', tagger=False, parser=False, entity=False, vectors=False)
|
|
|
|
train_data = [
|
|
(
|
|
['They', 'trade', 'mortgage', '-', 'backed', 'securities', '.'],
|
|
[1, 1, 4, 4, 5, 1, 1],
|
|
['nsubj', 'ROOT', 'compound', 'punct', 'nmod', 'dobj', 'punct']
|
|
),
|
|
(
|
|
['I', 'like', 'London', 'and', 'Berlin', '.'],
|
|
[1, 1, 1, 2, 2, 1],
|
|
['nsubj', 'ROOT', 'dobj', 'cc', 'conj', 'punct']
|
|
)
|
|
]
|
|
left_labels = set()
|
|
right_labels = set()
|
|
for _, heads, deps in train_data:
|
|
for i, (head, dep) in enumerate(zip(heads, deps)):
|
|
if i < head:
|
|
left_labels.add(dep)
|
|
elif i > head:
|
|
right_labels.add(dep)
|
|
parser = train_parser(nlp, train_data, sorted(left_labels), sorted(right_labels))
|
|
|
|
doc = Doc(nlp.vocab, words=['I', 'like', 'securities', '.'])
|
|
parser(doc)
|
|
for word in doc:
|
|
print(word.text, word.dep_, word.head.text)
|
|
|
|
if model_dir is not None:
|
|
with (model_dir / 'config.json').open('wb') as file_:
|
|
json.dump(parser.cfg, file_)
|
|
parser.model.dump(str(model_dir / 'model'))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|
|
# I nsubj like
|
|
# like ROOT like
|
|
# securities dobj like
|
|
# . cc securities
|