Natural language generation (speech language pathology) is the computational process of converting structured data, knowledge representations, or internal conceptualizations into natural human language output, specifically as applied within the domain of speech-language pathology. This concept leverages techniques from computational linguistics and natural language processing to generate linguistic content, often in spoken form, for purposes such as developing augmentative and alternative communication systems, creating personalized therapy materials, simulating communicative interactions, or modeling language production deficits relevant to the assessment, treatment, and understanding of communication disorders.