Kyubyong/wordvectors resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2234 stars · 386 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of pre-trained word vector (word embedding) models for 30+ languages, built from Wikipedia dumps using Word2Vec and fastText. It also includes scripts for building corpora and training your own vectors.

Use cases

• find pre-trained word vectors for non-English languages
• download word2vec embeddings for multilingual NLP
• get fastText vectors for languages like Bengali or Catalan
• train custom word embeddings from Wikipedia dumps
• semantic similarity across multiple languages

When to choose

• you need word embeddings for an under-resourced or non-English language
• you want both word2vec and fastText variants trained on the same corpus
• you want reproducible scripts to build vectors from Wikipedia dumps

When to avoid

• you need contextual embeddings like BERT or transformer-based models
• you need up-to-date vectors reflecting recent language usage (last release 2018)
• you only need English word vectors

Facets

dataset · maturity maintenance

nlp machine-learning machine-learning python cross-platform word2vec fasttext word-embeddings multilingual pre-trained-models wikipedia natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Kyubyong/wordvectors")