mlsanityData to 7 Oct 2026

A New Aligned Simple German Corpus

arXiv 2209.01106 ↗First posted 2 Sep 2022cs.CLcited by 10

Not on the map. Why?

Abstract (arXiv)

"Leichte Sprache", the German counterpart to Simple English, is a regulated language aiming to facilitate complex written language that would otherwise stay inaccessible to different groups of people. We present a new sentence-aligned monolingual corpus for Simple German -- German. It contains multiple document-aligned sources which we have aligned using automatic sentence-alignment methods. We evaluate our alignments based on a manually labelled subset of aligned documents. The quality of our sentence alignments, as measured by F1-score, surpasses previous work. We publish the dataset under CC BY-SA and the accompanying code under MIT license.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 12 of its 46 references that are in the map. First posted on arXiv 2 Sep 2022.

Builds on

12 of 46 references.

References · 12

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  3. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  4. 2016Enriching Word Vectors with Subword Informationcited by 1,578
  5. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 591
  6. 2019Multilingual Universal Sentence Encoder for Semantic Retrievalcited by 192
  7. 2017Sentence Simplification with Deep Reinforcement Learningcited by 107
  8. 2020Neural CRF Model for Sentence Alignment in Text Simplificationcited by 106
  9. 2019A Corpus for Automatic Readability Assessment and Text Simplification of Germancited by 18
  10. 2022Klexikon: A German Dataset for Joint Summarization and Simplificationcited by 15
  11. 2021How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Taskscited by 9
  12. 2017A Sentence Simplification System for Improving Relation Extractioncited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 2; 2025: 3; 2026: 2.

10 papers.