On Measuring Psalm Similarity: A Case for Word-Level n-Grams

The article offers a comparison between Tesserae (a text-reuse detection tool) and cosine similarity (used here as a measure of similarity between texts) and assesses their applicability to tracking textual affinities of different versions of historical texts on the basis of Early Modern English versions of Psalm 6 found in publications printed between 1530 and 1557. It is shown that cosine similarity is a better tool for the task of identifying and measuring the level of similarity between texts. At the same time, the article argues that cosine similarity measurements should be performed on texts represented as feature vectors consisting of n-grams.