SPDX-FileCopyrightText: 2024 PyThaiNLP Project
SPDX-License-Identifier: Apache-2.0

nlpO3 Python binding

Python binding for nlpO3, a Thai natural language processing library in Rust.

To install:

pip install nlpo3

Table of Contents

Features
Use
- Dictionary
Build
Issues
License
Binary wheels

Features

Thai word tokenizer
- segment() - use maximal-matching dictionary-based tokenization algorithm
  and honor Thai Character Cluster boundaries
  - 2.5x faster
    than similar pure Python implementation (PyThaiNLP's newmm)
- load_dict() - load a dictionary from a plain text file
  (one word per line)

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:

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:

['สวัสดี', 'ครับ']

(result depends on words included in the dictionary)

Use multithread mode, also use the dict_name dictionary:

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:

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 from PyThaiNLP
  - ~62,000 words
  - CC0-1.0
- word break dictionary from libthai
  - consists of dictionaries in different categories, with a make script
  - LGPL-2.1

Build

Requirements

Rust 2018 Edition
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 - already included in Cargo.toml
setuptools-rust

Steps

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:

pip install dist/nlpo3-1.3.1-cp311-cp311-macosx_12_0_x86_64.whl

Test

To run a Python unit test:

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 for details.

Binary wheels

A pre-built binary package is available from PyPI for these platforms:

Python	OS	Architecture	Has binary wheel?
3.13	Windows	x86	✅
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
	musllinux	x86_64	✅
3.12	Windows	x86	✅
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
	musllinux	x86_64	✅
3.11	Windows	x86	✅
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
	musllinux	x86_64	✅
3.10	Windows	x86	✅
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
	musllinux	x86_64	✅
3.9	Windows	x86	✅
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
	musllinux	x86_64	✅
3.8	Windows	x86	✅
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
	musllinux	x86_64	✅
3.7	Windows	x86	✅
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	❌
	manylinux	x86_64	✅
	manylinux	i686	✅
	musllinux	x86_64	✅
PyPy 3.10	Windows	x86	❌
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
PyPy 3.9	Windows	x86	❌
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
PyPy 3.8	Windows	x86	❌
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	✅
	manylinux	x86_64	✅
	manylinux	i686	✅
PyPy 3.7	Windows	x86	❌
	Windows	AMD64	✅
	macOS	x86_64	✅
	macOS	arm64	❌
	manylinux	x86_64	✅
	manylinux	i686	✅

Package profile

nlpo3

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