Pragmatics
The rules governing how language is used in social contexts: turn-taking, topic maintenance, inferencing, understanding nonliteral language (sarcasm, idioms), adjusting communication style for different listeners, and reading social cues. A core domain of SLP practice.
In AI/NLP, pragmatics relates to how context influences meaning beyond the literal words, including understanding implication, speaker intent, and conversational norms. LLMs have limited pragmatic understanding; they process text patterns rather than genuine social reasoning.
Why This Bridge Matters
When an SLP says “pragmatic language deficit,” they mean a specific clinical profile: difficulty with conversational turn-taking, topic maintenance, understanding nonliteral language, or adjusting communication for context. When a developer hears “pragmatics,” they think about how AI systems handle context and implication.
The irony: LLMs are remarkably good at imitating pragmatic language (producing contextually appropriate responses) while having zero actual pragmatic understanding. They can generate a socially appropriate conversation, but they don’t understand why it’s appropriate.
Clinical Relevance
- LLMs can help structure pragmatic language goals and documentation
- LLMs cannot assess a child’s pragmatic abilities
- LLMs can generate example social scenarios for therapy materials
- LLMs cannot determine whether a child’s response to a social scenario is appropriate, because that requires understanding intent, not just matching patterns
Related Terms
- Theory of Mind: the ability to attribute mental states to others; a common underlying skill deficit in pragmatic language disorders. LLMs simulate this but do not possess it.
- Social Communication Disorder: a DSM-5 diagnosis characterized by persistent difficulties in social use of verbal and nonverbal communication.
- Temperature (AI term): a parameter that controls how “creative” vs. “predictable” an LLM’s output is. Higher temperature produces more varied but less reliable output.