DEplain
/

mt5-simple-german-corpus

Text2Text Generation

text simplification

easy-to-read language

sentence simplification

Inference Endpoints

Model card Files Files and versions Community

rstodden commited on Apr 5

Commit

a6ae6a9

•

1 Parent(s): 8e9af22

Update README.md

Files changed (1) hide show

README.md +6 -6

README.md CHANGED Viewed

@@ -18,7 +18,7 @@ tags:
 <!-- Provide a quick summary of what the model is/does. -->
-This model aims to simplify German texts into plain German language. It belongs to the experiments done at the work of Stodden (2024, to appear). "Reproduction & Benchmarking of German Text Simplification Systems"  In Proceedings of the 1st Workshop on Evaluating Text Difficulty in a Multilingual Context (DeTermIt!), Turin, Italy.
 ## Model Details
@@ -31,15 +31,15 @@ This model aims to simplify German texts into plain German language. It belongs
 - **Developed by:** Regina Stodden
 - **Model type:** Text2Text Generation
 - **Language(s) (NLP):** German, Plain German, Easy-to-Read German
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [https://huggingface.co/google/mt5-base](https://huggingface.co/google/mt5-base)
-### Model Sources [optional]
 <!-- Provide the basic links for the model. -->
 - **Repository:** [https://huggingface.co/DEplain/mt5-simple-german-corpus](https://huggingface.co/DEplain/mt5-simple-german-corpus)
-- **Paper [optional]:** Stodden (2024, to appear). "Reproduction & Benchmarking of German Text Simplification Systems"  In Proceedings of the 1st Workshop on Evaluating Text Difficulty in a Multilingual Context (DeTermIt!), Turin, Italy.
 ## Uses
@@ -166,7 +166,7 @@ Results of mt5-simple-german-corpus and related models evaluated on simple-germa
-## Citation [optional]
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

 <!-- Provide a quick summary of what the model is/does. -->
+This model aims to simplify German texts into plain German language. It belongs to the experiments done at the work of Stodden (2024, see below).
 ## Model Details
 - **Developed by:** Regina Stodden
 - **Model type:** Text2Text Generation
 - **Language(s) (NLP):** German, Plain German, Easy-to-Read German
+<!--- **License:** [More Information Needed]-->
+- **Finetuned from model:** [https://huggingface.co/google/mt5-base](https://huggingface.co/google/mt5-base)
+### Model Sources
 <!-- Provide the basic links for the model. -->
 - **Repository:** [https://huggingface.co/DEplain/mt5-simple-german-corpus](https://huggingface.co/DEplain/mt5-simple-german-corpus)
+- **Paper:** Stodden (2024, to appear). "Reproduction & Benchmarking of German Text Simplification Systems"  In Proceedings of the 1st Workshop on Evaluating Text Difficulty in a Multilingual Context (DeTermIt!), Turin, Italy.
 ## Uses
+## Citation
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->