Text Difficulty Analysis
Text Difficulty Analysis is a computational method in Natural Language Processing that assesses the linguistic and cognitive complexity of educational texts to determine their accessibility and readability for learners.
408
Publications
19.8K
Citations
878
Authors
369
Institutions
Publications per year
2017–2026
100
Variants
Text Readability Analysis
408
Arthur C. Graesser, Danielle S. McNamara, Jonna M. Kulikowich · Educational Researcher · 2011 · 612 citations
Education, Educational Assessment, Educational Measurement +14
Eastern A. Smith, R. J. Senter · PubMed · 1967 · 548 citations
Education, Educational Assessment, Educational Measurement +10
Coh-Metrix: Capturing Linguistic Features of Cohesion
Danielle S. McNamara, Max M. Louwerse, Philip M. McCarthy et al. · Discourse Processes · 2010 · 308 citations
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369
Educational Testing Service
Princeton, United States
8 h-index
17 publications
926 citations
University of Memphis
Memphis, United States
8 h-index
22 publications
3.4K citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
17 publications
1.9K citations
Arizona State University
Tempe, United States
7 h-index
10 publications
500 citations
University of California, Berkeley
Berkeley, United States
6 h-index
8 publications
290 citations
Claremont Graduate University
Claremont, United States
6 h-index
11 publications
521 citations

Pennsylvania State University
State College, United States
6 h-index
10 publications
298 citations
UCLouvain
Louvain-la-Neuve, Belgium
6 h-index
10 publications
195 citations
1–8 of 369
14 publications · 846 citations
13
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JER · 6 publications · 124 citations
6
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Repository · 6 publications · 659 citations
6
h-index
RRQ · 5 publications · 405 citations
5
h-index
JRB · 5 publications · 414 citations
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