Publication

Subjective Assessment of Text Complexity: A Dataset for German Language

Babak Naderi, Salar Mohtaj, Kaspar Ensikat, Sebastian Möller

In: Computing Research Repository eprint Journal (CoRR) abs/1904.07733 arXiv.org 2019.

Abstract

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.

Weitere Links

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz