Unsupervised clustering of narrative features from three CHILDES corpora yields two language profiles, with SLI concentrated in the low-production group, suggesting production volume rather than syntactic complexity is the primary deficit.
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Multidimensional Analysis of Specific Language Impairment Using Unsupervised Learning Through PCA and Clustering
Unsupervised clustering of narrative features from three CHILDES corpora yields two language profiles, with SLI concentrated in the low-production group, suggesting production volume rather than syntactic complexity is the primary deficit.