Embeddings

For Large Language Models, we refer to Language_Modeling.

Word2Vec embeddings

Repository for the word embeddings described in Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource, presented at LREC 2016.

• Download page

FastText embeddings

Word vectors in 157 languages trained on CommonCrawl and Wikipedia corpora.

• Download page

Coosto embeddings

This repository contains a Word2Vec model trained on a large Dutch corpus, comprised of social media messages and posts from Dutch news, blog and fora.

• Github page

GeenStijl.nl embeddings

GeenStijl.nl embeddings contains over 8M messages from the controversial Dutch websites GeenStijl and Dumpert to train a word embedding model that captures the toxic language representations contained in the dataset. The trained word embeddings (±150MB) are released for free and may be useful for further study on toxic online discourse.

• Project page
• Report
• Download page

NLPL Word Embeddings Repository

Made by the University of Oslo. Models trained with clearly stated hyperparametes, on clearly described and linguistically pre-processed corpora.

For Dutch, Word2Vec and ELMO embeddings are available.

• Repository page