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Automatic Text Simplification for German

Ebling, Sarah; Battisti, Alessia; Kostrzewa, Marek; Pfütze, Dominik; Rios, Annette; Säuberli, Andreas; Spring, Nicolas (2022). Automatic Text Simplification for German. Frontiers in Communication, 7:706718.

Abstract

The article at hand aggregates the work of our group in automatic processing of simplified German. We present four parallel (standard/simplified German) corpora compiled and curated by our group. We report on the creation of a gold standard of sentence alignments from the four sources for evaluating automatic alignment methods on this gold standard. We show that one of the alignment methods performs best on the majority of the data sources. We used two of our corpora as a basis for the first sentence-based neural machine translation (NMT) approach toward automatic simplification of German. In follow-up work, we extended our model to render it capable of explicitly operating on multiple levels of simplified German. We show that using source-side language level labels improves performance with regard to two evaluation metrics commonly applied to measuring the quality of automatic text simplification.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
06 Faculty of Arts > Zurich Center for Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Scopus Subject Areas:Social Sciences & Humanities > Communication
Social Sciences & Humanities > Social Sciences (miscellaneous)
Language:English
Date:2022
Deposited On:31 May 2022 10:46
Last Modified:27 Oct 2024 02:41
Publisher:Frontiers Research Foundation
ISSN:2297-900X
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.3389/fcomm.2022.706718
Project Information:
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  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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