About
- Word embeddings are low-dimensional vector represenatations of words.
- Word embeddings capture semantic similarities between words based on their distribution in a large corpus of text documents.
- Word embeddings are generated by neural networks.
- Word embeddings can be used in language technology applications to support processing of meaning.
- Welsh word embeddings have been developed by the members of the CorCenCC team.
- Welsh word embeddings have been funded by the Welsh Government.
