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preprint · arXiv (Cornell University) · 2019

A Corpus for Automatic Readability Assessment and Text Simplification of\n German

Alessia Battisti, Sarah Ebling

Cited by 9Open access

Abstract

In this paper, we present a corpus for use in automatic readability\nassessment and automatic text simplification of German. The corpus is compiled\nfrom web sources and consists of approximately 211,000 sentences. As a novel\ncontribution, it contains information on text structure, typography, and\nimages, which can be exploited as part of machine learning approaches to\nreadability assessment and text simplification. The focus of this publication\nis on representing such information as an extension to an existing corpus\nstandard.\n

Cite this paper

APA 7

Battisti, A., & Ebling, S. (2019). A Corpus for Automatic Readability Assessment and Text Simplification of\n German. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1909.09067

MLA 9

Battisti, Alessia, and Sarah Ebling. “A Corpus for Automatic Readability Assessment and Text Simplification of\n German.” arXiv (Cornell University), 2019, https://doi.org/10.48550/arxiv.1909.09067.

Chicago

Battisti, Alessia, and Sarah Ebling. 2019. “A Corpus for Automatic Readability Assessment and Text Simplification of\n German.” arXiv (Cornell University). https://doi.org/10.48550/arxiv.1909.09067.

Harvard

Battisti, A. and Ebling, S. (2019) ‘A Corpus for Automatic Readability Assessment and Text Simplification of\n German’, arXiv (Cornell University). Available at: https://doi.org/10.48550/arxiv.1909.09067.

BibTeX
@misc{battisti2019corpus,
  title = {{A Corpus for Automatic Readability Assessment and Text Simplification of\n German}},
  author = {Battisti, Alessia and Ebling, Sarah},
  journal = {arXiv (Cornell University)},
  year = {2019},
  doi = {10.48550/arxiv.1909.09067}
}

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