| DE_Wiki | A selftrained German Word2Vec model based on German Wikipedia articles. | |
| EN_Wiki | An English Word2Vec model based on English Wikipedia articles. | https://zenodo.org/record/6542975 |
| DE_AT | A German Word2Vec model based on DE_Wiki, trained on the basis of Austrian public web content in 2019. | https://wortschatz.uni-leipzig.de/en/download/German |
| DE_CH | A German Word2Vec model based on DE_Wiki, trained on the basis of Swiss public web content in 2019. | https://wortschatz.uni-leipzig.de/en/download/German |
| DE_Positive | A German Word2Vec model based on DE_Wiki, trained on the basis of a list with positive words with regards to sentimental aspect of human beings. | https://wortschatz.uni-leipzig.de/de/download |
| DE_Negative | A German Word2Vec model based on DE_Wiki, trained on the basis of a list with negative words with regards to sentimental aspect of human beings. | https://wortschatz.uni-leipzig.de/de/download |
| DE_News | A German Word2Vec model based on DE_Wiki, trained on the basis of German newspaper content in 2022. | https://wortschatz.uni-leipzig.de/en/download/German#deu_news_2022 |
| EN_AU | An English Word2Vec model based on EN_Wiki, trained on the basis of Australian web content in 2020. | https://wortschatz.uni-leipzig.de/en/download/English |
| EN_CA | An English Word2Vec model based on EN_Wiki, trained on the basis of Canadian web content in 2020. | https://wortschatz.uni-leipzig.de/en/download/English |
| EN_GB | An English Word2Vec model based on EN_Wiki, trained on the basis of web content in 2002 from the Great Britain. | https://wortschatz.uni-leipzig.de/en/download/English |
| EN_ZA | An English Word2Vec model based on EN_Wiki, trained on the basis of South African web content in 2020. | https://wortschatz.uni-leipzig.de/en/download/English |
