By Kaylie Curran Faculty Mentor: Dr. Debra Hydorn Abstract This project explores how the BERT (Bidirectional Encoder Representations from Transformers) language model embeds text based on word context. By analyzing excerpts from famous novels, the study examines how BERT generates different embeddings for the words. Techniques such as co-occurrence graphs, dot product similarity, and pairwise…