Embedding/Chinese-Word-Vectors resource
100+ Chinese Word Vectors 上百种预训练中文词向量 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3158
- days_rel: n/a
- days_push: 1038
- n_releases_24m: 0
Adoption not part of the score
12225 stars · 2323 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of 100+ pre-trained Chinese word vector embeddings trained with different representations, context features, and corpora, plus the CA8 analogical reasoning dataset and an evaluation toolkit. Vectors are provided in text format for easy use in downstream NLP tasks.
Use cases
- download pretrained chinese word embeddings
- find word vectors for chinese text classification
- evaluate quality of chinese word embeddings
- get embeddings for chinese nlp downstream tasks
- chinese word analogy reasoning dataset
- compare dense and sparse chinese word vectors
When to choose
- you need ready-made Chinese word embeddings for NLP tasks
- you want to benchmark or evaluate Chinese word vectors
- you need a Chinese analogical reasoning evaluation dataset
When to avoid
- you need embeddings for languages other than Chinese
- you want contextual embeddings like BERT rather than static word vectors
- you need a maintained library rather than pre-trained data files
Facets
dataset · maturity stable
nlp machine-learning data-science machine-learning localization python cross-platform word-embeddings chinese-nlp pretrained-vectors word2vec evaluation-toolkit analogical-reasoning natural-language-processing
1 source
- readme: https://github.com/Embedding/Chinese-Word-Vectors · fetched 2026-08-28 · 755f32463ad0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Embedding/Chinese-Word-Vectors | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Embedding/Chinese-Word-Vectors")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem