review readme

README.md

@@ -26,7 +26,7 @@ This model has been adapted for short, OCR-noisy and fragmentary inputs typical
 
 ### Model Description
 
-- **Developed by:** [Impresso team](https://impresso-project.ch), in collaboration with the University of Zurich (UZH). The project is supported by the Swiss National Science Foundation and the Luxembourg National Research Fund.
+- **Developed by:** University of Zurich (UZH) from the [Impresso team](https://impresso-project.ch). The project is an interdisciplinary project focused on historical media analysis across languages, time, and modalities. Funded by the Swiss National Science Foundation ([CRSII5_173719](http://p3.snf.ch/project-173719), [CRSII5_213585](https://data.snf.ch/grants/grant/213585)) and the Luxembourg National Research Fund (grant No. 17498891).
 - **Model type:** Language identification using a transformer-based classification architecture
 - **Languages:** French, German, English, Italian, Luxembourgish
 - **License:** AGPL-3.0