Lexical dispersion is typically measured across arbitrary corpus parts of equal size. In this study, we apply
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Corpus (BNC) in a series of cases studies to show that the dispersion of a word is strongly influenced by the corpus units or
parts it is measured across. Our results show that dispersion should be measured and interpreted based on corpus units that are
linguistically meaningful for a particular research goal. We conclude with recommendations to help researchers select meaningful
corpus units for measuring and interpreting lexical dispersion.
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