{
"info": {
"author": "Esukhia development team",
"author_email": "esukhiadev@gmail.com",
"bugtrack_url": null,
"classifiers": [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Natural Language :: Tibetan",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Topic :: Text Processing :: Linguistic"
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"description": " 
\n\n# PYBO - Tibetan NLP in Python\n[](https://badge.fury.io/py/pybo)\n\n\n\n[](https://black.readthedocs.io/en/stable/)\n\n\n\n## Overview\n\nbo tokenizes Tibetan text into words.\n\n### Basic usage\n\n\n#### Getting started\nRequires to have Python3 installed.\n\n python3 -m pip install pybo\n\n#### Tokenizing a string\n\n```bash\ndrupchen@drupchen:~$ bo tok-string \"\u0f04\u0f05\u0f0d \u0f0d\u0f62\u0f92\u0fb1\u0f0b\u0f42\u0f62\u0f0b\u0f66\u0f90\u0f51\u0f0b\u0f51\u0f74\u0f0d \u0f56\u0f7c\u0f0b\u0f51\u0fb7\u0f72\u0f0b\u0f66\u0f4f\u0fad\u0f0b\u0f59\u0f62\u0fbb\u0f0b\u0f68\u0f0b\u0f56\u0f0b\u0f4f\u0f0b\u0f62\u0f0d \u0f56\u0f7c\u0f51\u0f0b\u0f66\u0f90\u0f51\u0f0b\u0f51\u0f74\u0f0d \u0f56\u0fb1\u0f44\u0f0b\u0f46\u0f74\u0f56\u0f0b\u0f66\u0f7a\u0f58\u0f66\u0f0b\u0f51\u0f54\u0f60\u0f72\u0f0b\u0f66\u0fa4\u0fb1\u0f7c\u0f51\u0f0b\u0f54\u0f0b\u0f63\u0f0b\u0f60\u0f47\u0f74\u0f42\u0f0b\u0f54\u0f0d \u0f0d\n\u0f66\u0f44\u0f66\u0f0b\u0f62\u0f92\u0fb1\u0f66\u0f0b\u0f51\u0f44\u0f0b\u0f56\u0fb1\u0f44\u0f0b\u0f46\u0f74\u0f56\u0f0b\u0f66\u0f7a\u0f58\u0f66\u0f0b\u0f51\u0f54\u0f60\u0f0b\u0f50\u0f58\u0f66\u0f0b\u0f45\u0f51\u0f0b\u0f63\u0f0b\u0f55\u0fb1\u0f42\u0f0b\u0f60\u0f5a\u0f63\u0f0b\u0f63\u0f7c\u0f0d \u0f0d\u0f56\u0f51\u0f7a\u0f0b\u0f42\u0f64\u0f7a\u0f42\u0f66\u0f0b\u0f46\u0f7c\u0f66\u0f0b\u0f40\u0fb1\u0f72\u0f0b\u0f66\u0f90\u0f74\u0f0b\u0f58\u0f44\u0f60\u0f0b\u0f66\u0fb2\u0f66\u0f0b\u0f56\u0f45\u0f66\u0f0b\u0f51\u0f44\u0f0c\u0f0d \u0f0d\u0f55\u0fb1\u0f42\u0f0b\u0f60\u0f7c\u0f66\u0f0b\u0f40\u0f74\u0f53\u0f0b\u0f63\u0f60\u0f44\u0f0b\u0f42\u0f74\u0f66\u0f0b\u0f54\u0f62\u0f0b\u0f55\u0fb1\u0f42\u0f0b\u0f60\u0f5a\u0f63\u0f0b\u0f4f\u0f7a\u0f0d \u0f0d\u0f56\u0f51\u0f7a\u0f0b\u0f42\u0f64\u0f7a\u0f42\u0f66\u0f0b\n\u0f66\u0fb2\u0f66\u0f0b\u0f40\u0fb1\u0f72\u0f0b\u0f66\u0fa1\u0f7c\u0f58\u0f0b\u0f63\u0f0b\u0f60\u0f47\u0f74\u0f42\u0f0b\u0f54\u0f0b\u0f53\u0f72\u0f0d \u0f0d\u0f63\u0f74\u0f44\u0f0b\u0f56\u0f5e\u0f72\u0f53\u0f0b\u0f58\u0f51\u0f7c\u0f62\u0f0b\u0f56\u0f66\u0fa1\u0f74\u0f66\u0f0b\u0f53\u0f66\u0f0b\u0f53\u0f72\u0f0b\u0f56\u0f62\u0f97\u0f7c\u0f51\u0f0b\u0f54\u0f62\u0f0b\u0f56\u0fb1\u0f0d \u0f0d\"\nLoading Trie... (2s.)\n\u0f04\u0f05\u0f0d_\u0f0d \u0f62\u0f92\u0fb1\u0f0b\u0f42\u0f62\u0f0b \u0f66\u0f90\u0f51\u0f0b \u0f51\u0f74 \u0f0d_ \u0f56\u0f7c\u0f0b \u0f51\u0fb7\u0f72\u0f0b \u0f66\u0f4f\u0fad\u0f0b \u0f59\u0f62\u0fbb\u0f0b \u0f68\u0f0b\u0f56\u0f0b \u0f4f\u0f0b \u0f62 \u0f0d_ \u0f56\u0f7c\u0f51\u0f0b\u0f66\u0f90\u0f51\u0f0b \u0f51\u0f74 \u0f0d_ \u0f56\u0fb1\u0f44\u0f0b\u0f46\u0f74\u0f56\u0f0b \u0f66\u0f7a\u0f58\u0f66\u0f0b\u0f51\u0f54 \u0f60\u0f72\u0f0b \u0f66\u0fa4\u0fb1\u0f7c\u0f51\u0f0b\u0f54\u0f0b \u0f63\u0f0b \u0f60\u0f47\u0f74\u0f42\u0f0b\u0f54 \u0f0d_\u0f0d \u0f66\u0f44\u0f66\u0f0b\u0f62\u0f92\u0fb1\u0f66\u0f0b \u0f51\u0f44\u0f0b \u0f56\u0fb1\u0f44\u0f0b\u0f46\u0f74\u0f56\u0f0b\n\u0f66\u0f7a\u0f58\u0f66\u0f0b\u0f51\u0f54\u0f60\u0f0b \u0f50\u0f58\u0f66\u0f0b\u0f45\u0f51\u0f0b \u0f63\u0f0b \u0f55\u0fb1\u0f42\u0f0b \u0f60\u0f5a\u0f63\u0f0b \u0f63\u0f7c \u0f0d_\u0f0d \u0f56\u0f51\u0f7a\u0f0b\u0f42\u0f64\u0f7a\u0f42\u0f66\u0f0b \u0f46\u0f7c\u0f66\u0f0b \u0f40\u0fb1\u0f72\u0f0b \u0f66\u0f90\u0f74\u0f0b \u0f58\u0f44\u0f60\u0f0b \u0f66\u0fb2\u0f66\u0f0b \u0f56\u0f45\u0f66\u0f0b \u0f51\u0f44\u0f0c \u0f0d_\u0f0d \u0f55\u0fb1\u0f42\u0f0b\u0f60\u0f7c\u0f66\u0f0b \u0f40\u0f74\u0f53\u0f0b \u0f63 \u0f60\u0f44\u0f0b \u0f42\u0f74\u0f66\u0f0b\u0f54 \u0f62\u0f0b \u0f55\u0fb1\u0f42\u0f0b \u0f60\u0f5a\u0f63\u0f0b\n\u0f4f\u0f7a \u0f0d_\u0f0d \u0f56\u0f51\u0f7a\u0f0b\u0f42\u0f64\u0f7a\u0f42\u0f66\u0f0b \u0f66\u0fb2\u0f66\u0f0b \u0f40\u0fb1\u0f72\u0f0b \u0f66\u0fa1\u0f7c\u0f58\u0f0b \u0f63\u0f0b \u0f60\u0f47\u0f74\u0f42\u0f0b\u0f54\u0f0b \u0f53\u0f72 \u0f0d_\u0f0d \u0f63\u0f74\u0f44\u0f0b \u0f56\u0f5e\u0f72\u0f53\u0f0b \u0f58\u0f51\u0f7c\u0f62\u0f0b\u0f56\u0f66\u0fa1\u0f74\u0f66\u0f0b \u0f53\u0f66\u0f0b \u0f53\u0f72\u0f0b \u0f56\u0f62\u0f97\u0f7c\u0f51\u0f0b\u0f54 \u0f62\u0f0b \u0f56\u0fb1 \u0f0d_\u0f0d\n```\n\n#### Tokenizing a list of files\n\nThe command to tokenize a list of files in a directory:\n```\nbo tok \n```\n\nFor example to tokenize the file `text.txt` in a directory `./document/` with the following content: \n```\n\u0f56\u0f40\u0fb2\u0f0b\u0f64\u0f72\u0f0b\u0f66\u0f0b\u0f56\u0f51\u0f7a\u0f0b\u0f63\u0f7a\u0f42\u0f66\u0f0b\u0f55\u0f74\u0f53\u0f0b\u0f66\u0f74\u0f58\u0f0b\u0f5a\u0f7c\u0f42\u0f66\u0f0d \u0f0d\u0f62\u0f9f\u0f42\u0f0b\u0f4f\u0f74\u0f0b\u0f56\u0f51\u0f7a\u0f0b\u0f56\u0f0b\u0f50\u0f7c\u0f56\u0f0b\u0f54\u0f62\u0f0b\u0f64\u0f7c\u0f42\u0f0d \u0f0d\n```\n\nI use the command:\n```\n$ bo tok ./document/\n```\n\n...which create a file `text.txt` in a directory `./document_pybo` containing:\n```\n\u0f56\u0f40\u0fb2\u0f0b \u0f64\u0f72\u0f0b \u0f66\u0f0b \u0f56\u0f51\u0f7a\u0f0b\u0f63\u0f7a\u0f42\u0f66\u0f0b \u0f55\u0f74\u0f53\u0f0b\u0f66\u0f74\u0f58\u0f0b \u0f5a\u0f7c\u0f42\u0f66 \u0f0d_\u0f0d \u0f62\u0f9f\u0f42\u0f0b \u0f4f\u0f74\u0f0b \u0f56\u0f51\u0f7a\u0f0b\u0f56\u0f0b \u0f50\u0f7c\u0f56\u0f0b\u0f54 \u0f62\u0f0b \u0f64\u0f7c\u0f42 \u0f0d_\u0f0d\n```\n\n### Sorting Tibetan words\n```bash\n$ bo kakha to-sort.txt\n```\nThe expected input is one word or entry per line in a .txt file. The file will be overwritten.\n\n### FNR - Find and Replace with a list of regexes\n\n```\nbo fnr -o -t \n```\n`-o` and `-t` are optional\n\nText files should be UTF-8 plain text files. The regexes should be in the following format:\n\n```\n-\n```\n\n## Acknowledgements\n\n- **pybo** is an open source library for Tibetan NLP.\n\nWe are always open to cooperation in introducing new features, tool integrations and testing solutions.\n\nMany thanks to the companies and organizations who have supported pybo's development, especially:\n\n* [Khyentse Foundation](https://khyentsefoundation.org) for contributing USD22,000 to kickstart the project \n* The [Barom/Esukhia canon project](http://www.barom.org) for sponsoring training data curation\n* [BDRC](https://tbrc.org) for contributing 2 staff for 6 months for data curation\n\n- `third_party/rules.txt` is taken from [tibetan-collation](https://github.com/eroux/tibetan-collation/blob/master/implementations/Unicode/rules.txt).\n\n## Contributing\nFirst clone this repo. Create virtual environment and activate it. Then install the dependencies\n```bash\n$ pip install -e .\n$ pip install -r requirements-dev.txt\n```\n\nNext, setup up [pre-commit](https://pre-commit.com/) by creating pre-commit git hook\n```bash\n$ pre-commit install\n```\nPlease, follow [augular commit message format](https://github.com/angular/angular/blob/master/CONTRIBUTING.md#-commit-message-format) for commit message. We have setup [python-semantic-release](https://github.com/relekang/python-semantic-release) to publish [pybo](https://pypi.org/project/pybo/) package automatically based on commit messages.\n\nThat's all, Enjoy contributing \ud83c\udf89\ud83c\udf89\ud83c\udf89\n\n## License\n\nThe Python code is Copyright (C) 2019 Esukhia, provided under [Apache 2](LICENSE). \n\ncontributors:\n * [Drupchen](https://github.com/drupchen)\n * [\u00c9lie Roux](https://github.com/eroux)\n * [Ngawang Trinley](https://github.com/ngawangtrinley)\n * [Tenzin](https://github.com/10zinten)\n * Joyce Mackzenzie for reworking the logo\n\n\n",
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