arXiv
Open Access
2019
A Corpus for Automatic Readability Assessment and Text Simplification of German
Alessia Battisti
Sarah Ebling
Abstrak
In this paper, we present a corpus for use in automatic readability assessment and automatic text simplification of German. The corpus is compiled from web sources and consists of approximately 211,000 sentences. As a novel contribution, it contains information on text structure, typography, and images, which can be exploited as part of machine learning approaches to readability assessment and text simplification. The focus of this publication is on representing such information as an extension to an existing corpus standard.
Topik & Kata Kunci
Penulis (2)
A
Alessia Battisti
S
Sarah Ebling
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2019
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓