NLP mainly deals with human language, which is messy and unstructured, requiring probability-based methods to interpret unclear texts and multiple meanings. Normal programming handles clear, structured data following defined rules. While NLP uses machine learning and statistics to extract meaning from words, regular programming generally relies on established logic and rule sets.
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