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/** | ||
* @license | ||
* Copyright 2023 Google LLC | ||
* 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 | ||
* | ||
* https://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. | ||
*/ | ||
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import {loadDefaultThaiParser} from '../index.js'; | ||
import {BudouXBaseElement} from './budoux-base.js'; | ||
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/** | ||
* BudouX Thai Web component. | ||
*/ | ||
export class BudouXThaiElement extends BudouXBaseElement { | ||
/** | ||
* BudouX Thai Web component constructor. | ||
*/ | ||
constructor() { | ||
super(); | ||
this.parser = loadDefaultThaiParser(); | ||
} | ||
} | ||
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customElements.define('budoux-th', BudouXThaiElement); |
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# Copyright 2023 Google LLC | ||
# | ||
# 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 | ||
# | ||
# https://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. | ||
"""Prepares a dataset from the Wisesight corpus. | ||
Before running this script, you need to download the Wisesight corpus by running: | ||
$ curl -o wisesight-1000-samples-tokenised.label https://raw.githubusercontent.com/PyThaiNLP/wisesight-sentiment/master/word-tokenization/wisesight-1000-samples-tokenised.label | ||
$ curl -o wisesight-160-samples-tokenised.label https://raw.githubusercontent.com/PyThaiNLP/wisesight-sentiment/master/word-tokenization/wisesight-160-samples-tokenised.label | ||
Then run this command as follows over each file. | ||
$ python scripts/prepare_wisesight.py wisesight-1000-samples-tokenised.label -o source_train.txt | ||
$ python scripts/prepare_wisesight.py wisesight-160-samples-tokenised.label -o source_val.txt | ||
""" | ||
import argparse | ||
import re | ||
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import regex | ||
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def parse_args() -> argparse.Namespace: | ||
DEFAULT_OUT_PATH = 'source.txt' | ||
parser = argparse.ArgumentParser( | ||
description=__doc__, formatter_class=argparse.RawTextHelpFormatter) | ||
parser.add_argument( | ||
'source_filepath', help='Path to a Wisesight corpus label file.') | ||
parser.add_argument( | ||
'-o', | ||
'--outfile', | ||
help=f'File path to the output dataset. (default: {DEFAULT_OUT_PATH})', | ||
default=DEFAULT_OUT_PATH) | ||
return parser.parse_args() | ||
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def main() -> None: | ||
args = parse_args() | ||
source_filepath = args.source_filepath | ||
target_filepath = args.outfile | ||
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with open(target_filepath, 'w') as outfile: | ||
with open(source_filepath) as infile: | ||
for line in infile: | ||
line = line.strip() | ||
line = re.sub(r'https?://[^ ]+', '', line) # Remove URLs | ||
line = re.sub(r'#[^ ]+', '', line) # Remove hashtags | ||
line = regex.compile(r'\p{Emoji_Presentation=Yes}+').sub( | ||
'', line) # Remove emojis | ||
line = re.sub(r'\|+', '|', line) # Remove consecutive separators | ||
line = re.sub(r'(\|\s)*\|$', '', line) # Remove redundant spaces | ||
outfile.write(line.replace('|', '▁') + '\n') # Replace the separators. | ||
print('\033[92mTraining data is output to: %s\033[0m' % (target_filepath)) | ||
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if __name__ == '__main__': | ||
main() |
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isort | ||
mypy==1.7.1 | ||
pytest | ||
regex | ||
toml | ||
twine | ||
types-regex | ||
types-setuptools | ||
yapf | ||
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