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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2021
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2021
Data sources: Datacite
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LHA Sentence Alignments Extracted From the Austria Press Agency Corpus

Research datakeyboard_double_arrow_right Dataset 01 Sep 2021 German Publisher:Zenodo
Authors: Spring, Nicolas; Rios, Annette; Ebling, Sarah;

doi: 10.5281/zenodo.5148162 , 10.5281/zenodo.5148163

LHA Sentence Alignments Extracted From the Austria Press Agency Corpus

Abstract

Conference paper: Exploring German Multi-Level Text Simplification Sentence alignments extracted with LHA (Nikolov and Hahnloser, 2019) from the Austria Press Agency (Austria Presse Agentur, APA) corpus. It contains alignments from news items between August 2018 and April 2021. There are alignments for CEFR levels A2 and B1 to the original standard German text. Nikola I. Nikolov and Richard Hahnloser. 2019. Large-scale hierarchical alignment for data-driven text rewriting. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 844���853, Varna, Bulgaria. INCOMA Ltd.

Related Organizations
Keywords

alignment, text simplification, automatic text simplification, machine translation, accessibility

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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