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Symbolic Methodology (Symbolic AI) is a deterministic approach to AI development in NLP that uses explicit rules and symbols to represent linguistic knowledge. This method relies on narrow, predefined instructions to recognize specific linguistic patterns, ensuring high precision. Although it requires extensive effort to cover a wide range of cases compared to machine learning-based methods, symbolic systems are valued for their accuracy and clear logic in problem-solving.