Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/21670
Title: 
Authors: 
Issue Date: 
2019
Citation: 
Green, C. (2019). A multilevel description of textbook linguistic complexity across disciplines: Leveraging NLP to support disciplinary literacy. Linguistics and Education, 53, Article 100748. https://doi.org/10.1016/j.linged.2019.100748
Dataset: 
https://doi.org/10.25340/R4/ZDS5H5
Abstract: 
Disciplinary Literacy as a pedagogy and research program aims to understand and teach the linguistic differences amongst disciplines. Limited studies have been done, however, on the differing linguistic complexity demands of disciplines. In this study, linguistic complexity is measured at the clause, phrase and lexical levels, across eight disciplines represented by a corpus of secondary school textbooks. Innovative natural language processing systems extract an unprecedented number of complexity measures, and discriminant function analysis describes features that best differentiate disciplinary writing. Results indicate disciplines vary along different clines of complexity. The first tends to discriminate humanities from science subjects, along features such as academic phraseology, possessive noun phrases, auxiliary verbs and clause dependents. Other clines show that subjects such as history and physics can be similarly complex in features such as their prepositional expansion of noun phrases. The paper concludes with detailed and specific pedagogical takeaways for teachers.
Description: 
This is the final draft, after peer-review, of a manuscript published in Linguistics and Education. The published version is available online at https://doi.org/10.1016/j.linged.2019.100748
URI: 
ISSN: 
0898-5898
DOI: 
File Permission: 
Embargo_20221101
File Availability: 
With file
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
LE-53-100748.pdf
  Until 2022-11-01
508.47 kBAdobe PDFUnder embargo until Nov 01, 2022
Show full item record

SCOPUSTM   
Citations

4
checked on Sep 22, 2022

WEB OF SCIENCETM
Citations

3
checked on Sep 26, 2022

Page view(s)

96
checked on Sep 28, 2022

Download(s)

1
checked on Sep 28, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.