# NiuTrans/Classical-Modern

非常全的文言文（古文）-现代文平行语料

Repository: https://github.com/NiuTrans/Classical-Modern
Canonical: https://ross.abutalabs.com/products/classical-modern
Language: Python
License: MIT
License Family: permissive
Topics: corpus, parallel-corpus, traditional-chinese, traditional-and-simplified-chinese
Last push: 2024-04-21T16:20:37+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1695, "days_push": 864, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1479, forks 333 (observed 2026-08-28T04:04:50.705819+00:00)

## What it is
A large parallel corpus of Classical Chinese (wenyanwen) aligned with modern Chinese translations, covering 327 classical books with ~972k sentence-aligned pairs. It includes original texts, translations, and bitext files, plus Python scripts for reproducing the sentence alignment pipeline.

## Use cases
- train a classical-to-modern Chinese translation model
- find parallel classical Chinese and modern Chinese sentence data
- build a dataset for ancient Chinese NLP research
- align classical Chinese texts with modern translations
- study classical Chinese literature with machine-readable corpora

## When to choose
- you need sentence-level parallel data for classical-modern Chinese machine translation
- you want a broad corpus covering most classic Chinese texts
- you need reproducible alignment scripts to process your own data

## When to avoid
- you need modern-language-only corpora or other language pairs
- you require guaranteed licensing for commercial redistribution, since source data rights belong to original providers
- you need actively updated data with new releases

## Facets
- artifact type: dataset
- maturity: stable
- function: nlp, data-science, parser
- domain: machine-learning, education
- platform: python, cross-platform
- tags: parallel-corpus, classical-chinese, machine-translation, bitext, chinese-nlp, natural-language-processing

## Member repositories
- NiuTrans/Classical-Modern (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:50.705819+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:34:17.320673+00:00, confidence not recorded.
  - readme: https://github.com/NiuTrans/Classical-Modern (fetched 2026-08-28T04:04:50.705819+00:00, sha 96dc5346afcf)
- Data as of 2026-08-30T08:39:29.467469+00:00.