This paper explores the impact of different embedding strategies-real-valued, complex-valued, and a combination of both-on generating Shakespearean-style text. We leverage a transformerbased architecture with multi-scale retention mechanisms and evaluate expressiveness, continuity, and clarity in generated text. Our findings suggest that complex-valued embeddings improve text coherence, while combined embeddings yield more expressive narratives.