---
SPDX-FileCopyrightText: 2024 PyThaiNLP Project
SPDX-License-Identifier: Apache-2.0
---
# nlpO3 Python binding
[](https://pypi.python.org/pypi/nlpo3)
[](https://www.python.org/downloads/)
[](https://opensource.org/license/apache-2-0)
Python binding for nlpO3, a Thai natural language processing library in Rust.
To install:
```bash
pip install nlpo3
```
## Table of Contents
- [Features](#features)
- [Use](#use)
- [Dictionary](#dictionary)
- [Build](#build)
- [Issues](#issues)
- [License](#license)
- [Binary wheels](#binary-wheels)
## Features
- Thai word tokenizer
- `segment()` - use maximal-matching dictionary-based tokenization algorithm
and honor [Thai Character Cluster][tcc] boundaries
- [2.5x faster][benchmark]
than similar pure Python implementation (PyThaiNLP's newmm)
- `load_dict()` - load a dictionary from a plain text file
(one word per line)
[tcc]: https://dl.acm.org/doi/10.1145/355214.355225
[benchmark]: ./notebooks/nlpo3_segment_benchmarks.ipynb
## Use
Load file `path/to/dict.file` to memory
and assign a name `dict_name` to it.
Then tokenize a text with the `dict_name` dictionary:
```python
from nlpo3 import load_dict, segment
load_dict("path/to/dict.file", "custom_dict")
segment("สวัสดีครับ", "dict_name")
```
it will return a list of strings:
```python
['สวัสดี', 'ครับ']
```
(result depends on words included in the dictionary)
Use multithread mode, also use the `dict_name` dictionary:
```python
segment("สวัสดีครับ", dict_name="dict_name", parallel=True)
```
Use safe mode to avoid long waiting time in some edge cases
for text with lots of ambiguous word boundaries:
```python
segment("สวัสดีครับ", dict_name="dict_name", safe=True)
```
### Dictionary
- For the interest of library size, nlpO3 does not assume what dictionary the
user would like to use, and it does not come with a dictionary.
- A dictionary is needed for the dictionary-based word tokenizer.
- For tokenization dictionary, try
- [words_th.txt][dict-pythainlp] from [PyThaiNLP][pythainlp]
- ~62,000 words
- CC0-1.0
- [word break dictionary][dict-libthai] from [libthai][libthai]
- consists of dictionaries in different categories, with a make script
- LGPL-2.1
[pythainlp]: https://github.com/PyThaiNLP/pythainlp
[libthai]: https://github.com/tlwg/libthai/
[dict-pythainlp]: https://github.com/PyThaiNLP/pythainlp/blob/dev/pythainlp/corpus/words_th.txt
[dict-libthai]: https://github.com/tlwg/libthai/tree/master/data
## Build
### Requirements
- [Rust 2018 Edition](https://www.rust-lang.org/tools/install)
- Python 3.7 or newer (PyO3's minimum supported version)
- Python Development Headers
- Ubuntu: `sudo apt-get install python3-dev`
- macOS: No action needed
- [PyO3](https://github.com/PyO3/pyo3) - already included in `Cargo.toml`
- [setuptools-rust](https://github.com/PyO3/setuptools-rust)
### Steps
```bash
python -m pip install --upgrade build
python -m build
```
This should generate a wheel file, in `dist/` directory,
which can be installed by pip.
To install a wheel from a local directory:
```bash
pip install dist/nlpo3-1.3.1-cp311-cp311-macosx_12_0_x86_64.whl
```
### Test
To run a Python unit test:
```bash
cd tests
python -m unittest
```
## Issues
Please report issues at <https://github.com/PyThaiNLP/nlpo3/issues>
## License
nlpO3 Python binding is copyrighted by its authors
and licensed under terms of the Apache Software License 2.0 (Apache-2.0).
See file [LICENSE](./LICENSE) for details.
## Binary wheels
A pre-built binary package is available from [PyPI][pypi] for these platforms:
[pypi]: https://pypi.org/project/nlpo3/
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||macOS|x86_64|✅|
||macOS|arm64|✅|
||manylinux|x86_64|✅|
||manylinux|i686|✅|
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|3.11|Windows|x86|✅|
||Windows|AMD64|✅|
||macOS|x86_64|✅|
||macOS|arm64|✅|
||manylinux|x86_64|✅|
||manylinux|i686|✅|
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|3.10|Windows|x86|✅|
||Windows|AMD64|✅|
||macOS|x86_64|✅|
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||manylinux|x86_64|✅|
||manylinux|i686|✅|
||musllinux|x86_64|✅|
|3.9|Windows|x86|✅|
||Windows|AMD64|✅|
||macOS|x86_64|✅|
||macOS|arm64|✅|
||manylinux|x86_64|✅|
||manylinux|i686|✅|
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|3.8|Windows|x86|✅|
||Windows|AMD64|✅|
||macOS|x86_64|✅|
||macOS|arm64|✅|
||manylinux|x86_64|✅|
||manylinux|i686|✅|
||musllinux|x86_64|✅|
|3.7|Windows|x86|✅|
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||macOS|x86_64|✅|
||macOS|arm64|❌|
||manylinux|x86_64|✅|
||manylinux|i686|✅|
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|PyPy 3.10|Windows|x86|❌|
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|PyPy 3.9|Windows|x86|❌|
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"description": "---\nSPDX-FileCopyrightText: 2024 PyThaiNLP Project\nSPDX-License-Identifier: Apache-2.0\n---\n\n# nlpO3 Python binding\n\n[![PyPI](https://img.shields.io/pypi/v/nlpo3.svg \"PyPI\")](https://pypi.python.org/pypi/nlpo3)\n[![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg \"Python 3.7\")](https://www.python.org/downloads/)\n[![Apache-2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg \"Apache-2.0\")](https://opensource.org/license/apache-2-0)\n\nPython binding for nlpO3, a Thai natural language processing library in Rust.\n\nTo install:\n\n```bash\npip install nlpo3\n```\n\n## Table of Contents\n\n- [Features](#features)\n- [Use](#use)\n - [Dictionary](#dictionary)\n- [Build](#build)\n- [Issues](#issues)\n- [License](#license)\n- [Binary wheels](#binary-wheels)\n\n## Features\n\n- Thai word tokenizer\n - `segment()` - use maximal-matching dictionary-based tokenization algorithm\n and honor [Thai Character Cluster][tcc] boundaries\n - [2.5x faster][benchmark]\n than similar pure Python implementation (PyThaiNLP's newmm)\n - 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