Word embeddings use machine learning to turn words into lists of 300 numbers. By doing some addition and subtraction on these lists using Snap!'s hyperblocks one can solve word analogy problems in a surprisingly straightforward manner. E.g. man is to woman as father is to X.
I'll demonstrate this project that works in 15 different languages.