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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. |