computational-pragmatics

What problem does it solve?

Computational pragmatics helps you go beyond literal sentence meaning by analyzing what speakers intend, what they imply indirectly, and how they manage social interaction cues like politeness and face.

Core Features & Use Cases

• Speech act classification: Identify illocutionary force such as assertions, directives, questions, commissives, and expressives using transformer-based NLP or fallback heuristics.
• Implicature & discourse-aware analysis: Detect likely implicature signals and patterns that arise from Gricean maxim violations (e.g., quantity, manner, hedging).
• Politeness and coherence signals: Extract politeness/hedging features and analyze dialog structure through adjacency pairs and turn transitions for conversation analysis.

Quick Start

Use the skill to analyze a chat excerpt for speech acts, politeness cues, and adjacency-pair structure by running the provided Python workflow on your text.