# Easy-to-Read in Germany: A Survey on its Current State and Available Resources

arXiv: https://arxiv.org/abs/2306.03189 · HTML: https://mlsanity.com/paper/2306.03189/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 7 of its 34 references that are in the map.
- First posted on arXiv 5 Jun 2023.

## Builds on (most cited first, 7 of 7)

- [Trends, Limitations and Open Challenges in Automatic Readability Assessment Research](https://mlsanity.com/paper/2105.00973/) (2021)
- [A Corpus for Automatic Readability Assessment and Text Simplification of German](https://mlsanity.com/paper/1909.09067/) (2019)
- [Subjective Assessment of Text Complexity: A Dataset for German Language](https://mlsanity.com/paper/1904.07733/) (2019)
- [Klexikon: A German Dataset for Joint Summarization and Simplification](https://mlsanity.com/paper/2201.07198/) (2022)
- [Automatic Readability Assessment of German Sentences with Transformer Ensembles](https://mlsanity.com/paper/2209.04299/) (2022)
- [MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment](https://mlsanity.com/paper/2109.04870/) (2021)
- [A Transfer Learning Based Model for Text Readability Assessment in German](https://mlsanity.com/paper/2207.06265/) (2022)

## Built on by (most cited first, 1 of 1)

- [Template-Based Text-to-Image Alignment for Language Accessibility: A Study on Visualizing Text Simplifications](https://mlsanity.com/paper/2510.11314/) (2025)

## Abstract (arXiv)

Easy-to-Read Language (E2R) is a controlled language variant that makes any written text more accessible through the use of clear, direct and simple language. It is mainly aimed at people with cognitive or intellectual disabilities, among other target users. Plain Language (PL), on the other hand, is a variant of a given language, which aims to promote the use of simple language to communicate information. German counts with Leichte Sprache (LS), its version of E2R, and Einfache Sprache (ES), its version of PL. In recent years, important developments have been conducted in the field of LS. This paper offers an updated overview of the existing Natural Language Processing (NLP) tools and resources for LS. Besides, it also aims to set out the situation with regard to LS and ES in Germany.