CLAWS Tokenizer: Cluster Level Aggregation Khmer Word Segmentation

CLAWS Tokenizer is a lightweight, fast Khmer word segmentation library for Python. It is based on a Graph Neural Network. The model is trained using Tensorflow and the weights are converted to TFLite.

Installation

Install via pip:

pip install claws-tokenizer

Quick Start

from claws_tokenizer import segment

tokens = segment("ខ្ញុំស្រឡាញ់ភាសាខ្មែរ")
print(tokens)
# Output: ['ខ្ញុំ', 'ស្រឡាញ់', 'ភាសា', 'ខ្មែរ']

Citation

If you use Claws in your research, please cite it as follows:

BibTeX

@software{claws_tokenizer,
  author = {Socret Lee},
  title = {CLAWS Tokenizer: Cluster Level Aggregation Khmer Word Segmentation},
  year = {2026},
  url = {[https://github.com/Socret360/claws](https://github.com/Socret360/claws)},
  version = {0.1.1}
}

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