# Copyright 2023 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import nltk
import glob
import json
import os
nltk.download('punkt')
class NLTKSegmenter:
def __init(self):
pass
@staticmethod
def segment_string(article):
return nltk.tokenize.sent_tokenize(article)
wiki_path = "data/extracted"
output_path = "formatted/wiki-key.txt"
segmenter = NLTKSegmenter()
with open(output_path, "w") as output:
for dirname in glob.glob(os.path.join(wiki_path, '*'), recursive=False):
for filename in glob.glob(os.path.join(dirname, 'wiki_*'), recursive=True):
print(filename)
article_lines = []
article_open = False
with open(filename, mode='r', newline='\n') as file:
for line in file:
line = line.rstrip()
if '<doc id=' in line:
article_open = True
elif '</doc>' in line:
key_sentences, contents = [], []
key, content = None, []
for sentences in article_lines[1:]:
if len(sentences) > 1:
if key:
if len(content) > 0 or len(contents) == 0:
key_sentences.append(key)
contents.append(content)
else:
contents[-1].append(key)
key, content = None, []
key_sentences.append(sentences[0])
contents.append(sentences[1:])
elif len(sentences) > 0:
if key:
content.append(sentences[0])
else:
key = sentences[0]
if key:
if len(content) > 0 or len(contents) == 0:
key_sentences.append(key)
contents.append(content)
else:
contents[-1].append(key)
contents = [" ".join(content) for content in contents]
article = {"key": key_sentences, "content": contents}
output.write(json.dumps(article))
output.write("\n")
article_open = False
article_lines = []
else:
if article_open and line:
sentences = segmenter.segment_string(line)
article_lines.append(sentences)