A Python package for NLP tasks related to Chinese text.

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  • License: MIT
  • Author: Maciej Kurzynski
  • Tags digital humanities , nlp , Chinese , text analysis , corpus linguistics , topic modeling , stylometry
  • Requires: Python >=3.11
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Project description

qhChina

A Python toolkit for computational analysis of Chinese texts in humanities research.

Features

  • Preprocessing: Chinese text segmentation with multiple backends (spaCy, Jieba, BERT, LLM)
  • Word Embeddings: Word2Vec training and temporal semantic change analysis (TempRefWord2Vec)
  • Topic Modeling: LDA with Gibbs sampling and Cython acceleration
  • Stylometry: Authorship attribution and document clustering
  • Collocations: Statistical collocation analysis and co-occurrence matrices
  • Corpus Comparison: Identify significant vocabulary differences between corpora
  • Helpers: CJK font management, text loading, stopwords

Installation

pip install qhchina

Building from Source

git clone https://github.com/mcjkurz/qhchina.git
cd qhchina
pip install -e .

This will compile the Cython extensions and install the package in editable mode.

Documentation

Full documentation and examples: www.qhchina.org/docs/

Tests

pip install pytest
pytest tests/

License

MIT License

Project details

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  • License: MIT
  • Author: Maciej Kurzynski
  • Tags digital humanities , nlp , Chinese , text analysis , corpus linguistics , topic modeling , stylometry
  • Requires: Python >=3.11
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Release history Release notifications | RSS feed

0.1.47

0.1.46

0.1.45

0.1.44

0.1.43

0.1.42

0.1.41

0.1.40

0.1.39

0.1.38

0.1.37

0.1.36

0.1.34

This version

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.26

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.18

0.1.15

0.1.14

0.1.13

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0.0.69

0.0.45

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0.0.36

0.0.33

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BLAKE2b-256 0c5da96b1a69697be2c515a47718706bcb741d0cc15a6f1c9638b9581779502b

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Provenance

The following attestation bundles were made for qhchina-0.1.33-cp311-cp311-macosx_10_9_universal2.whl:

Publisher: build_wheels.yml on mcjkurz/qhchina

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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