While inter-text comparison sheds important light on the variation across texts of different domains or registers, efforts to look into the intra-text distribution of words have been rare.Such analysis, once made possible, may help discover important clues in the distribution of certain categories of words or word combinations (such as discourse markers) which significantly contribute to the organizational patterns of texts.While wordplotting is an interesting technique in this direction, its graphical output renders it difficult, if not impossible, to use the data for any further quantitative analysis.This study introduces a technique in which texts are segmented into a user-specified number of portions for intra-text comparison.A collection of academic English texts is used as an example.In order to identify the most salient phraseologies which signal textual organization, the texts are chopped into different numbers of segments for intercomparison.The patterned distribution of phraseologies thereby discovered provides important clues to the functioning of phraseology in textual organization.The presentation will include a demo of the software used for the purpose of the study.