Skip to main content

convert simplified chinese text to traditional chinese

Project description

Chinese Converter

Converts between Traditional and Simplified Chinese. Uses monogram and bigram frequencies to pick optimal words when a 1-to-1 conversion is not possible.

Uses phrases in the dictionary to count monogram and bigram frequencies.

Installation

pip install chinese-converter

Usage

import chinese_converter

chinese_converter.to_traditional("simplified chinese text...")
chinese_converter.to_simplified("traditional chinese text...")

Testing

python -m unittest

License

MIT

Resources

Not necessary for the normal usage of this library.

  1. Dictionary Files: https://resources.publicense.moe.edu.tw/dict_reviseddict_download.html

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

chinese_converter-1.1.1.tar.gz (188.1 kB view details)

Uploaded Source

Built Distribution

chinese_converter-1.1.1-py3-none-any.whl (190.9 kB view details)

Uploaded Python 3

File details

Details for the file chinese_converter-1.1.1.tar.gz.

File metadata

  • Download URL: chinese_converter-1.1.1.tar.gz
  • Upload date:
  • Size: 188.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for chinese_converter-1.1.1.tar.gz
Algorithm Hash digest
SHA256 dcb2cb2514dc36e984bf9b0c2fddabbceb9ff9090b7ff57f54ce474263cf5531
MD5 f1ccffa2c07092ba97d9d6f489fdace4
BLAKE2b-256 fd028f7eaa1bcf29b9b088afb01fa727d7539bf1ac31f060a3ebdb3026d5b848

See more details on using hashes here.

File details

Details for the file chinese_converter-1.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for chinese_converter-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 47a3dd3bf71080f2abbf1a7cd6efa36d940041b6aa65c92572ebacafd463d03f
MD5 b607cad7a0d3c9eeedc783fd3bde09ac
BLAKE2b-256 151bd341406d5b3afc7a6890ad095b3616abe1a4194425dbcc7fb772f1df680b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page