| Challenge: | Often, readability is defined as how easily a written text is to read. |
| Approach: | They propose to use a corpus of sentences provided by a German IT service provider to assess the readability of German text. |
| Outcome: | The proposed model can predict complexity of German text by using linguistically motivated features. |
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| Challenge: | Using monolingual-only data, we can automate readability assessment and text simplification of simplified language. |
| Approach: | They present a corpus for automatic readability assessment and automatic text simplification for German using parallel and monolingual data. |
| Outcome: | The proposed corpus is compiled from web sources and contains information on text structure, typography, font style, and images. |
Modeling the Readability of German Targeting Adults and Children: An empirically broad analysis and its cross-corpus validation (C18-1)
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| Challenge: | a new corpus of german news broadcast subtitles is compiled and crawled . readability assessment is a task of linking a text to the appropriate target audience based on its complexity. |
| Approach: | They analyze two German educational media texts targeting adults and children . they use 400 automatically extracted measures of linguistic complexity from a wide range of linguistic domains . their most successful binary classification model for german readability shows high accuracy . |
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Evaluating Readability Metrics for German Medical Text Simplification (2025.coling-main)
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| Challenge: | Clinical reports and scientific information sources are written for medical experts, preventing patients from understanding the main messages of these texts. |
| Approach: | They evaluated the suitability of 18 statistical, part-of-speech-based, syntactic, semantic and fluency metrics to measure readability of German medical texts. |
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Is this Sentence Difficult? Do you Agree? (D18-1)
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| Challenge: | a crowdsourcing-based approach to model sentence complexity is proposed . word-level predictors shown to correlate with greater processing difficulties are e.g. word frequency, age of acquisition, root frequency effect, orthographic neighbourhood frequency . |
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Estimating Lexical Complexity from Document-Level Distributions (2024.lrec-main)
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| Challenge: | Existing methods for complexity estimation are limited to entire documents . health assessment tools are too short for existing methods to apply . |
| Approach: | They propose a two-step approach for estimating lexical complexity that does not rely on pre-annotated data. |
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DETECT: Determining Ease and Textual Clarity of German Text Simplifications (2026.eacl-long)
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| Challenge: | Current evaluation of German automatic text simplification relies on general-purpose metrics such as SARI, BLEU, and BERTScore. |
| Approach: | They propose a German-specific metric that holistically evaluates ATS quality across all three dimensions of simplicity, meaning preservation, and fluency. |
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Automatic Assessment of Conceptual Text Complexity Using Knowledge Graphs (C18-1)
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| Challenge: | Existing methods to assess text complexity only at lexical and syntactic levels have not been attempted. |
| Approach: | They propose to automatically estimate conceptual complexity using graph-based measures on a large knowledge base. |
| Outcome: | The proposed measures achieve high discriminative power even in a default setup. |
A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks (2024.emnlp-main)
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| Challenge: | Existing models fail for linguistic characteristics of input examples, despite the impressive quantity of scientific studies dedicated to them, the capabilities, limitations, and risks of these models remain largely unknown. |
| Approach: | They propose to use semantic frame annotation to characterize examples by a small number of complexity factors to account for model’s difficulty. |
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Using Eye-tracking Data to Predict the Readability of Brazilian Portuguese Sentences in Single-task, Multi-task and Sequential Transfer Learning Approaches (2020.coling-main)
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Sidney Evaldo Leal, João Marcos Munguba Vieira, Erica dos Santos Rodrigues, Elisângela Nogueira Teixeira, Sandra Aluísio
| Challenge: | Sentence complexity assessment is a relatively new task in Natural Language Processing. |
| Approach: | They propose to use Brazilian Portuguese to evaluate sentences with linguistic features to improve readability. |
| Outcome: | The proposed model reaches the state-of-the-art for Brazilian Portuguese with 97.8% accuracy with linguistic features. |
CoCo: A Tool for Automatically Assessing Conceptual Complexity of Texts (2020.lrec-1)
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| Challenge: | Traditional text complexity assessment only takes into account lexical and lexiconal complexity. |
| Approach: | They propose a tool for automatic assessment of conceptual text complexity based on the current state-of-the-art unsupervised approach . they compare the current implementation with the state of the art and discuss the influence of the choice of entity linker on the performance of the tool. |
| Outcome: | The proposed tool can be personalized and adapted to the needs of struggling readers. |