There are several popular word embeddings available (e.g., Fasttext and GloVe); In short, those embeddings are a tool to encode words along with a sensible notion of semantics attached to those words (i.e. words with similar sematics are nearly parallel).
Is there a similar notion of character embedding?
By 'character embedding' I understand an algorithm that allow us to encode characters in order to capture some syntactic similarity (i.e. similarity of character shapes or contexts).