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README.md
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---
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datasets:
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- DEplain/DEplain-APA
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language:
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- de
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metrics:
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- bleu
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- sari
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- bertscore
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library_name: transformers
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pipeline_tag: text2text-generation
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---
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# DEplain German Text Simplification
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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."](https://arxiv.org/abs/2305.18939) In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Toronto, Canada. Association for Computational Linguistics.
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Detailed documentation can be found on this GitHub repository [https://github.com/rstodden/DEPlain](https://github.com/rstodden/DEPlain)
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### Model Description
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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.
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The model was finetuned towards the task of German text simplification of sentences.
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The finetuning dataset included manually aligned sentences from the dataset `DEplain-APA-sent` only.
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