{"categories":[{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/2"}],"enrichment":{"capability":"Converts text between Simplified and Traditional Chinese using MediaWiki vocabulary tables, supporting regional variants including Mainland, Taiwan, Hong Kong, and Singapore Chinese.","skillfed_tags":["chinese-nlp","text-conversion","i18n"],"use_cases":["Convert user-generated content or documentation between Chinese regional variants in web applications or content management systems.","Batch-process Chinese text corpora to standardize between Simplified and Traditional forms for NLP or linguistic analysis.","Support multilingual Chinese interfaces by dynamically converting text to the user's preferred regional variant.","Parse or transform Chinese text embedded in MediaWiki markup or similar structured formats with variant-specific rules.","Build Chinese language tools or libraries that need to normalize text across regional boundaries."],"what_it_does":"zhconv is a Chinese text converter that transforms between Simplified and Traditional Chinese using vocabulary tables derived from MediaWiki. It supports six regional variants\u2014Mainland (zh-cn), Taiwan (zh-tw), Hong Kong (zh-hk), Singapore (zh-sg), generic Simplified (zh-hans), and generic Traditional (zh-hant)\u2014and implements MediaWiki's full manual conversion syntax for context-aware transformations.\n\nThe package provides both a Python API (`convert()` and `convert_for_mw()` functions) and a command-line tool. It uses maximum forward matching to resolve ambiguous character sequences. No runtime dependencies are required, making it lightweight to install, though the source distribution has high install friction and the project has not been actively maintained since late 2021.","worth_installing":"Yes, if you need Chinese Simplified-Traditional conversion and can tolerate dormant maintenance. The package has no runtime dependencies, no known vulnerabilities, and a stable API grounded in MediaWiki standards. Install friction is high due to source distribution, but the core functionality is straightforward. Not recommended for new projects requiring active maintenance or support; consider it for stable, self-contained use cases where regional Chinese text conversion is a minor feature."},"id":"zhconv","links":{"html":"https://skillfed.io/packages/zhconv","md":"https://skillfed.io/packages/zhconv.md","pypi":"https://pypi.org/project/zhconv/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2021-10-31","license_spdx":null,"license_treatment":"copyleft","name":"zhconv","python_support":"unspecified","summary":"A simple implementation of Simplified-Traditional Chinese conversion."},"popularity":{"monthly_downloads":243383,"position":8804,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.4.3"}