In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…

Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…

One source of potential difficulty for struggling readers is the variability of texts across grade levels. This article explores the use of automatic natural language processing techniques to identify dimensions of variation within a corpus of school-appropriate texts. Specifically, we asked: Are there identifiable dimensions of lexical and…