| Publisher DOI: | 10.18420/ki2023-dc-01 | Title: | Automatic German easy language (Leichte Sprache) simplification : data, requirements and approaches | Language: | English | Authors: | Schomacker, Thorben | Editor: | Stolzenburg, Frieder | Keywords: | Text Simplification; Neural Machine Translation; Evaluation; Dataset; Easy Language; Leichte Sprache; Accessible Language; Simple Language; Comprehensibility-enhanced Language | Issue Date: | 20-Sep-2023 | Publisher: | Gesellschaft für Informatik e.V. | Part of Series: | DC@KI2023: Proceedings of Doctoral Consortium at KI 2023 | Startpage: | 1 | Endpage: | 10 | Conference: | German conference on Artificial Intelligence 2023 | Abstract: | With the rise of the internet, it has become convenient and often free to access an abundance of texts. However, not all people, who have access, can really read and understand the texts. Despite the fact that, they speak the language that the text is written in. Most often this problem originates in the too complex nature of the texts. Text Simplification can help to overcome this barrier. In my dissertation, I want to specially focus on Leichte Sprache (German Easy Language). Which is a simplified version of German, that is tailored to the needs of people with cognitive disabilities. |
URI: | https://hdl.handle.net/20.500.12738/20235 | Review status: | This version was peer reviewed (peer review) | Institute: | Department Informatik Fakultät Technik und Informatik |
Type: | Chapter/Article (Proceedings) |
| Appears in Collections: | Publications without full text |
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