<a href="https://pypi.python.org/pypi/nlpo3"><img alt="pypi" src="https://img.shields.io/pypi/v/nlpo3.svg"/></a>
<a href="https://www.python.org/downloads/release/python-360/"><img alt="Python 3.6" src="https://img.shields.io/badge/python-3.6-blue.svg"/></a>
<a href="https://opensource.org/licenses/Apache-2.0"><img alt="License" src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"/></a>
<a href="https://pepy.tech/project/nlpo3"><img alt="Downloads" src="https://pepy.tech/badge/nlpo3/month"/></a>
# nlpO3 Python binding
Python binding for nlpO3, a Thai natural language processing library in Rust.
## Features
- Thai word tokenizer
- `segment()` - use maximal-matching dictionary-based tokenization algorithm and honor Thai Character Cluster boundaries
- [2.5x faster](notebooks/nlpo3_segment_benchmarks.ipynb) than similar pure Python implementation (PyThaiNLP's newmm)
- `load_dict()` - load a dictionary from plain text file (one word per line)
## Dictionary file
- For the interest of library size, nlpO3 does not assume what dictionary the developer would like to use.
It does not come with a dictionary. A dictionary is needed for the dictionary-based word tokenizer.
- For tokenization dictionary, try
- [words_th.tx](https://github.com/PyThaiNLP/pythainlp/blob/dev/pythainlp/corpus/words_th.txt) from [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp/) - around 62,000 words (CC0)
- [word break dictionary](https://github.com/tlwg/libthai/tree/master/data) from [libthai](https://github.com/tlwg/libthai/) - consists of dictionaries in different categories, with make script (LGPL-2.1)
## Install
```bash
pip install nlpo3
```
## Usage
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)
```
## Build
### Requirements
- [Rust 2018 Edition](https://www.rust-lang.org/tools/install)
- Python 3.6 or newer
- 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.
## Issues
Please report issues at https://github.com/PyThaiNLP/nlpo3/issues
Raw data
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