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Back-to-basics approach can match or outperform AI in language analysis

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Back-to-basics approach can match or outperform AI in language analysis
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A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language analysis can match or outperform advanced AI systems in identifying who wrote a text. The method, called LambdaG, uses patterns in grammar and sentence construction rather than large-scale AI models, offering comparable accuracy with greater transparency and lower computational cost.

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