English: We plot the heatmap of correlation between scores for the paired evaluation scores for the document, readability, and language-agnostic metrics for SEW. The readability metrics are positively correlated with each other, except Dale Chall which had a low score. But the readability formulae are not well correlated with document length or # of tokens, but are moderately correlated with average sentence length. For the language-agnostic features, the sentence length metrics are correlated with each other, while the ratio features are correlated among each other.
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