Tongue Twister

Tongue twister generation is a challenging area of natural language processing focused on creating grammatically correct and semantically meaningful sentences with high phonetic similarity, maximizing pronunciation difficulty. Current research employs large language models (LLMs) often combined with constraint programming techniques to manage structural and phonetic constraints while ensuring fluency. These methods leverage techniques like speculative decoding for faster generation and incorporate phoneme-aware modules to control phonetic properties. This research contributes to a broader understanding of language generation, particularly in controlled settings, and has implications for creative writing applications and the study of human language processing.