mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 01:48:04 +03:00
93 lines
3.0 KiB
Python
93 lines
3.0 KiB
Python
# coding: utf8
|
|
from __future__ import unicode_literals
|
|
|
|
from ...compat import json_dumps, path2str
|
|
from ...util import prints
|
|
|
|
|
|
def conllu2json(input_path, output_path, n_sents=10, use_morphology=False):
|
|
"""
|
|
Convert conllu files into JSON format for use with train cli.
|
|
use_morphology parameter enables appending morphology to tags, which is
|
|
useful for languages such as Spanish, where UD tags are not so rich.
|
|
"""
|
|
# by @dvsrepo, via #11 explosion/spacy-dev-resources
|
|
|
|
docs = []
|
|
sentences = []
|
|
conll_tuples = read_conllx(input_path, use_morphology=use_morphology)
|
|
|
|
for i, (raw_text, tokens) in enumerate(conll_tuples):
|
|
sentence, brackets = tokens[0]
|
|
sentences.append(generate_sentence(sentence))
|
|
# Real-sized documents could be extracted using the comments on the
|
|
# conluu document
|
|
if(len(sentences) % n_sents == 0):
|
|
doc = create_doc(sentences, i)
|
|
docs.append(doc)
|
|
sentences = []
|
|
|
|
output_filename = input_path.parts[-1].replace(".conllu", ".json")
|
|
output_filename = input_path.parts[-1].replace(".conll", ".json")
|
|
output_file = output_path / output_filename
|
|
with output_file.open('w', encoding='utf-8') as f:
|
|
f.write(json_dumps(docs))
|
|
prints("Created %d documents" % len(docs),
|
|
title="Generated output file %s" % path2str(output_file))
|
|
|
|
|
|
def read_conllx(input_path, use_morphology=False, n=0):
|
|
text = input_path.open('r', encoding='utf-8').read()
|
|
i = 0
|
|
for sent in text.strip().split('\n\n'):
|
|
lines = sent.strip().split('\n')
|
|
if lines:
|
|
while lines[0].startswith('#'):
|
|
lines.pop(0)
|
|
tokens = []
|
|
for line in lines:
|
|
|
|
parts = line.split('\t')
|
|
id_, word, lemma, pos, tag, morph, head, dep, _1, _2 = parts
|
|
if '-' in id_ or '.' in id_:
|
|
continue
|
|
try:
|
|
id_ = int(id_) - 1
|
|
head = (int(head) - 1) if head != '0' else id_
|
|
dep = 'ROOT' if dep == 'root' else dep
|
|
tag = tag+'__'+morph if use_morphology else tag
|
|
tokens.append((id_, word, tag, head, dep, 'O'))
|
|
except:
|
|
print(line)
|
|
raise
|
|
tuples = [list(t) for t in zip(*tokens)]
|
|
yield (None, [[tuples, []]])
|
|
i += 1
|
|
if n >= 1 and i >= n:
|
|
break
|
|
|
|
|
|
def generate_sentence(sent):
|
|
(id_, word, tag, head, dep, _) = sent
|
|
sentence = {}
|
|
tokens = []
|
|
for i, id in enumerate(id_):
|
|
token = {}
|
|
token["orth"] = word[id]
|
|
token["tag"] = tag[id]
|
|
token["head"] = head[id] - i
|
|
token["dep"] = dep[id]
|
|
tokens.append(token)
|
|
sentence["tokens"] = tokens
|
|
return sentence
|
|
|
|
|
|
def create_doc(sentences,id):
|
|
doc = {}
|
|
paragraph = {}
|
|
doc["id"] = id
|
|
doc["paragraphs"] = []
|
|
paragraph["sentences"] = sentences
|
|
doc["paragraphs"].append(paragraph)
|
|
return doc
|