TU Berlin

Quality and Usability LabReviewed Journal Papers

Inhalt des Dokuments

zur Navigation

Reviewed Journal Papers

go back to overview

Subjective Assessment of Text Complexity: A Dataset for German Language
Zitatschlüssel naderi2019a
Autor Naderi, Babak and Mohtaj, Salar and Ensikat, Kaspar and Möller, Sebastian
Jahr 2019
Journal CoRR
Zusammenfassung 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.
Link zur Originalpublikation Download Bibtex Eintrag

go back to overview

Navigation

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe