Pragmatic analysis in AI
Pragmatic analysis is the final phase of Natural Language Processing (NLP). Let me break it down for you:
Pragmatic Analysis:
- Purpose: Pragmatic analysis aims to understand the intended effect of language use in context.
- Rules and Cooperation: It involves applying rules that characterize cooperative dialogues. These rules help interpret language beyond its literal meaning.
- Meaning Extraction: Pragmatic analysis abstracts or extracts meaning from text by considering context, background knowledge, and social conventions.
- Example: When someone says, “Open the door,” the pragmatic interpretation is that they are making a request, not giving an order.
In summary, pragmatic analysis helps bridge the gap between language and real-world communication, considering nuances, context, and speaker intentions.
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