The opinions of second language learning (L2) theorists and researchers are divided over whether to use authentic or simplified reading texts as the means of input for beginning-and intermediate-level L2 learners. Advocates of both approaches cite the use of linguistic features, syntax, and discourse structures as important elements in support of their arguments, but there has been no conclusive study that measures these differences and their implications for L2 learning. The purpose of this article is to provide an exploratory study that fills this gap. Using the computational tool Coh-Metrix, this study investigates the differences between the linguistic structures of sampled simplified texts and those of authentic reading texts in order to provide a better understanding of the linguistic features that comprise these text types. The findings demonstrate that these texts differ significantly, but not always in the manner supposed by the authors of relevant scholarship. This research is meant to enable material developers, publishers, and classroom teachers to judge more accurately the value of both authentic and simplified texts.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.