Back-to-basics approach can match or outperform AI in language analysis
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 larg...
Image: Phys.org
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.
Originally published at Phys.org
