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In previous chapters, I have introduced corpora and evaluation methods for (German) text simplification. Building on this, in this chapter, I will describe the last missing component in the academic text simplification workflow, i.e., approaches towards automatically simplifying (German) complex texts (see step G in Figure 2.1 in Subsection 2.2.2). I will first start with a short timeline regarding the development of English TS models in the last years (see Section 6.1). Then, I will focus on German text simplification models or multi-lingual TS models which include German texts either in training or evaluation.1 Most of the approaches presented are either rule-based or neural sequence-to-sequence models. Therefore, I split the last category more fine-grained as follows.

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German Text Simplification Models

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Regina Stodden

摘要

In previous chapters, I have introduced corpora and evaluation methods for (German) text simplification. Building on this, in this chapter, I will describe the last missing component in the academic text simplification workflow, i.e., approaches towards automatically simplifying (German) complex texts (see step G in Figure 2.1 in Subsection 2.2.2). I will first start with a short timeline regarding the development of English TS models in the last years (see Section 6.1). Then, I will focus on German text simplification models or multi-lingual TS models which include German texts either in training or evaluation.1 Most of the approaches presented are either rule-based or neural sequence-to-sequence models. Therefore, I split the last category more fine-grained as follows.