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CASCADE READING MAKES
SYNTAX VISIBLE

Our approach builds on decades of cognitive and neurolinguistic research that point to a clear conclusion: Syntax is the backbone for language processing.  It is through syntactic awareness that readers recognize the relationships between ‘do-ers’ and ‘do-ees’, and how the action and description words in a sentence affect each of them (or not).  Syntactic structures provide the scaffolding for building a deeper understanding of the situation described in a text (a.k.a. Situation Model).  By making these structures visible, Cascade Reading seeks to increase syntactic awareness and improve readers’ ability to produce appropriate prosody while reading (e.g. intonation, stress, phrasing, pauses, and rhythm), which lead to improved fluency and comprehension.  We believe that these goals are relevant for all readers of all ages, including those with developmental challenges, attention limitations, foreign language learners, acquired communication disorders, or age-related cognitive decline.

Visit the website at Cascadereading.com!

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Current Collaborators

Michael Gorman

Mark Lacek

Jack Dempsey

Jon Moog

Mary Kate DeSantis

Representative Publications

Van Dyke, J.A., Dempsey, J. (2026). Linguistically-driven text formatting improves reading comprehension: Evidence from 4th and 5th graders.  Journal of Educational Psychology.

[publisher | pubmed]

Dempsey, J., Christianson, K., Van Dyke, J.A. (2025). Eye-tracking evidence for benefits from linguistically-driven text formatting while reading. Reading and Writing.

[publisher | pubmed]

 

Dempsey, J., Christianson, K., Van Dyke, J.A. (2024). Linguistically-driven text formatting improves reading comprehension for ELLs and EL1s. Reading and Writing.

[publisher | pubmed]

Patents

Acoustic-based Linguistically-driven automated text formatting                                       Granted: 03/18/25

US 12,254,870 B2

Inventors:  Van Dyke, J.A., Gorman, M., Lacek, M.

Linguistically-driven automated text formatting                                                                    Granted: 11/09/21

US 11,170,154 B1

Inventors:  Van Dyke, J.A., Gorman, M., Lacek, M.

Also in force in Australia (AU 2022255037 B2), Israel (IL 307467 B2), 

Japan (JP 7541422 B2), Korea (KR 102754856 B1), Mexico (MX/A/2023/011943)

Linguistically-driven automated text formatting                                                                    Granted: 08/02/23

US 11,734,491 B2

Inventors:  Van Dyke, J.A., Gorman, M., Lacek, M.

Continuation of US11,170,154 B1 to cover machine learning methods of generating Cascades.

Also in force in Japan (JP 2024152832 A)

 

Linguistically-driven automated text formatting                                                                     Granted: 10/2025

US 12,456,002 B2

Inventors: Van Dyke, J.A., Gorman, M., Lacek, M.

Continuation of 11,734,491 to cover generalized machine learning methods of generating Cascades.

Generating cascaded text formatting for electronic documents and displays                      Granted: 09/10/24

US 12,086,532 B2

Inventors: Gorman, M., Lacek, M., Riaz, K. Van Dyke, J.A.

Cascading text in Augmented Reality Devices

Also in force in Germany (DE21021000356)

 

Linguistic Learning Using Automatically Cascaded Text                                                       Filed: 08/21/2023

Van Dyke, J.A., Gorman, M., Lacek, M.

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© 2019 by Julie A. Van Dyke

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