# Text Readability and Simplification

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/text-readability-and-simplification/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on automatic text simplification and readability assessment using machine learning, statistical language models, neural networks, and natural language processing techniques. The research covers areas such as sentence simplification, lexical simplification, complex word identification, and semantic simplification to improve the accessibility and comprehension of written text. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t13629 |
| Works | 51 |

## Topic papers all

Showing 15 of 51.

- [DRC: A dual route cascaded model of visual word recognition and reading aloud.](https://scholariq.org/papers/drc-a-dual-route-cascaded-model-of-visual-word-recognition-and-reading-aloud/)
- [A distributed, developmental model of word recognition and naming.](https://scholariq.org/papers/a-distributed-developmental-model-of-word-recognition-and-naming/)
- [Orthographic processing in visual word recognition: A multiple read-out model.](https://scholariq.org/papers/orthographic-processing-in-visual-word-recognition-a-multiple-read-out-model-2/)
- [A Synthesis of Reading Interventions and Effects on Reading Comprehension Outcomes for Older Struggling Readers](https://scholariq.org/papers/a-synthesis-of-reading-interventions-and-effects-on-reading-comprehension/)
- [Neural systems for compensation and persistence: young adult outcome of childhood reading disability](https://scholariq.org/papers/neural-systems-for-compensation-and-persistence-young-adult-outcome-of-childhood/)
- [Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models](https://scholariq.org/papers/wide-coverage-efficient-statistical-parsing-with-ccg-and-log-linear-models/)
- [No Language Left Behind: Scaling Human-Centered Machine Translation](https://scholariq.org/papers/no-language-left-behind-scaling-human-centered-machine-translation/)
- [The CoNLL-2009 shared task](https://scholariq.org/papers/the-conll-2009-shared-task/)
- [Eye movements of dyslexic children when reading in a regular orthography](https://scholariq.org/papers/eye-movements-of-dyslexic-children-when-reading-in-a-regular-orthography/)
- [Screening for Dyslexia Using Eye Tracking during Reading](https://scholariq.org/papers/screening-for-dyslexia-using-eye-tracking-during-reading/)
- [The 14-item health literacy scale for Japanese adults (HLS-14)](https://scholariq.org/papers/the-14-item-health-literacy-scale-for-japanese-adults-hls-14/)
- [Effects of individual differences in verbal skills on eye-movement patterns during sentence reading](https://scholariq.org/papers/effects-of-individual-differences-in-verbal-skills-on-eye-movement-patterns/)
- [Reader–text interactions: How differential text and question types influence cognitive skills needed for reading comprehension.](https://scholariq.org/papers/reader-text-interactions-how-differential-text-and-question-types-influence/)
- [Heterogeneity in adult dyslexic readers: Relating processing skills to the speed and accuracy of oral text reading](https://scholariq.org/papers/heterogeneity-in-adult-dyslexic-readers-relating-processing-skills-to-the-speed/)
- [Low working memory capacity is only spuriously related to poor reading comprehension](https://scholariq.org/papers/low-working-memory-capacity-is-only-spuriously-related-to-poor-reading/)

## Topic primary papers

- [Orthographic processing in visual word recognition: A multiple read-out model.](https://scholariq.org/papers/orthographic-processing-in-visual-word-recognition-a-multiple-read-out-model-2/)
- [READ--IT: Assessing Readability of Italian Texts with a View to Text Simplification](https://scholariq.org/papers/read-it-assessing-readability-of-italian-texts-with-a-view-to-text/)
- [Rule-based and machine learning approaches for second language sentence-level readability](https://scholariq.org/papers/rule-based-and-machine-learning-approaches-for-second-language-sentence-level/)
- [Design and Annotation of the First Italian Corpus for Text Simplification](https://scholariq.org/papers/design-and-annotation-of-the-first-italian-corpus-for-text-simplification/)
- [Is this Sentence Difficult? Do you Agree?](https://scholariq.org/papers/is-this-sentence-difficult-do-you-agree/)
- [Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)](https://scholariq.org/papers/proceedings-of-the-workshop-on-computational-linguistics-for-linguistic/)
- [Measuring Text Readability Using Reading Level](https://scholariq.org/papers/measuring-text-readability-using-reading-level-2/)
- [Measuring Text Readability Using Reading Level](https://scholariq.org/papers/measuring-text-readability-using-reading-level/)
- [Evaluating readability as a factor in information security policies](https://scholariq.org/papers/evaluating-readability-as-a-factor-in-information-security-policies/)
- [Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection](https://scholariq.org/papers/machine-learning-models-for-paraphrase-identification-and-its-applications-on/)
- [Evaluating and Explaining Natural Language Generation with GenX](https://scholariq.org/papers/evaluating-and-explaining-natural-language-generation-with-genx/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.