Raul Taveras expanded the domain-specific dictionary for Automattic/harper by integrating a comprehensive set of technical terms from phenomenology and linguistics. He focused on data structure design and dictionary management using YAML, ensuring the new vocabulary could be efficiently incorporated and maintained. This work laid the foundation for improved natural language processing capabilities, such as enhanced search, tagging, and intent detection, by enriching the system’s understanding of specialized language. Raul’s approach emphasized repeatability and maintainability, delivering the feature in a focused commit set. The depth of the update supports future NLP enhancements and demonstrates careful attention to linguistic detail.