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This research paper, published in the journal Scientific Reports, explores the predictive capabilities of three machine learning algorithms: Linear Discriminant Analysis (LDA), Decision Tree (C5.0), and Neural Network (NNET) in classifying speakers’ first language (L1) vowels in terms of second language (L2) categories. The paper found that the neural network demonstrated superior performance in predictions, followed closely by the discriminant analysis, while the decision tree algorithm fell short of anticipated performance levels. The neural network’s advantage lay in its ability to employ deep learning techniques.