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Subjective Assessment of Text Complexity: A Dataset for German Language

arXiv 1904.07733 ↗First posted 16 Apr 2019cs.CLcited by 17

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Abstract (arXiv)

This paper presents TextComplexityDE, a dataset consisting of 1000 sentences in German language taken from 23 Wikipedia articles in 3 different article-genres to be used for developing text-complexity predictor models and automatic text simplification in German language. The dataset includes subjective assessment of different text-complexity aspects provided by German learners in level A and B. In addition, it contains manual simplification of 250 of those sentences provided by native speakers and subjective assessment of the simplified sentences by participants from the target group. The subjective ratings were collected using both laboratory studies and crowdsourcing approach.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Apr 2019.

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Citing papers per year: 2022: 4; 2023: 6; 2024: 3; 2025: 2; 2026: 2.

17 papers.

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  1. 2023Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?cited by 39
  2. 2022CEFR-Based Sentence Difficulty Annotation and Assessmentcited by 28
  3. 2023Revisiting non-English Text Simplification: A Unified Multilingual Benchmarkcited by 27
  4. 2023ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessmentcited by 19
  5. 2023DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplificationcited by 14
  6. 2022Automatic Readability Assessment of German Sentences with Transformer Ensemblescited by 7
  7. 2023Automatic and Human-AI Interactive Text Generationcited by 4
  8. 2024VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Modelscited by 3
  9. 2022A Transfer Learning Based Model for Text Readability Assessment in Germancited by 2
  10. 2025German4All -- A Dataset and Model for Readability-Controlled Paraphrasing in Germancited by 2
  11. 2022Pseudo-Labels Are All You Needcited by 1
  12. 2023Easy-to-Read in Germany: A Survey on its Current State and Available Resourcescited by 1
5 more
  1. 2024Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?cited by 1
  2. 2024EASSE-DE: Easier Automatic Sentence Simplification Evaluation for Germancited by 0
  3. 2025DETECT: Determining Ease and Textual Clarity of German Text Simplificationscited by 0
  4. 2026Profiling German Text Simplification with Interpretable Model-Fingerprintscited by 0
  5. 2026Assessing Quality of Experience in Natural Language Generation of German Textcited by 0