TextInContext: On the Way to a Framework for Measuring the Context-Sensitive Complexity of Educationally Relevant Texts—A Combined Cognitive and Computational Linguistic Approach
Crossref DOI link: https://doi.org/10.1007/978-3-030-26578-6_14
Published Online: 2020-01-03
Published Print: 2019
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mehler, Alexander
Ramesh, Visvanathan
Funding for this research was provided by:
Johannes Gutenberg University Mainz Research Fund
Text and Data Mining valid from 2019-01-01
Chapter History
First Online: 3 January 2020