datasets:
- DEplain/DEplain-APA-sent
language:
- de
metrics:
- bleu
- sari
- bertscore
library_name: transformers
pipeline_tag: text2text-generation
tags:
- text simplification
- plain language
- easy-to-read language
- sentence simplification
DEplain German Text Simplification
This model belongs to the experiments done at the work of Stodden, Momen, Kallmeyer (2023). "DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification." In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Toronto, Canada. Association for Computational Linguistics. Detailed documentation can be found on this GitHub repository https://github.com/rstodden/DEPlain
Model Description
The model is a finetuned checkpoint of the pre-trained mBART model mbart-large-cc25. With a trimmed vocabulary to the most frequent 30k words in the German language.
The model was finetuned towards the task of German text simplification of sentences.
The finetuning dataset included manually aligned sentences from the dataset DEplain-APA-sent only.