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README.md

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-## 📰 Impresso – Media Monitoring of the Past
-
 **Interdisciplinary ML‑powered platform for exploring historical media.**
 
-- **📚 Corpus**: Aggregates an unprecedented multilingual archive of newspapers and radio across time and borders  [oai_citation:0‡impresso-project.ch](https://impresso-project.ch/?utm_source=chatgpt.com).
-- **🎯 Vision**: Enables a revolutionary semantic-enriched workflow for representation, exploration, and historical research across modalities like print and audio  [oai_citation:1‡impresso-project.ch](https://impresso-project.ch/?utm_source=chatgpt.com).
-- **👥 Two consecutive phases**:
-  - **Phase I (2017–2020)**: Funded by SNSF Sinergia (CR-SII5_173719); built scalable processing architecture + web app with semantic search for Swiss and Luxembourgish newspapers  [oai_citation:2‡impresso-project.ch](https://impresso-project.ch/project/?utm_source=chatgpt.com).
-    - **PIs**: Frédéric Kaplan & Maud Ehrmann (EPFL); Martin Volk & Simon Clematide (UZH); Andreas Fickers & Marten Düring (Uni Luxembourg).
-    - **Citation**: _“Impresso. Media Monitoring of the Past.” Supported by the Swiss NSNF under grant CR‑SII5_173719, 2019._  
-  - **Phase II (2023–2027)**: Funded by SNSF (213585) & Luxembourg FNR (17498891); extends corpus to radio, adds cross-national and multilingual layers, develops Datalab + novel interfaces, explores ‘influences’ in media  [oai_citation:3‡impresso-project.ch](https://impresso-project.ch/project/?utm_source=chatgpt.com).
-    - **PIs**: Maud Ehrmann (EPFL), Simon Clematide (UZH), Raphaëlle Ruppen Coutaz (UNIL), Marten Düring (Uni Luxembourg).
-    - **Citation**: _“Impresso … II. Beyond Borders: Connecting Historical Newspapers and Radio” funded by SNSF 213585 & FNR 17498891._  
+- **📚 Corpus**: Aggregates an unprecedented multilingual archive of newspapers and radio across time and borders  .
+- **🎯 Vision**: Enables a revolutionary semantic-enriched workflow for representation, exploration, and historical research across modalities like print and audio.
 - **💡 Outputs**:
-  - Powerful Web App & Datalab platforms for exploratory analysis  [oai_citation:4‡impresso-project.ch](https://impresso-project.ch/?utm_source=chatgpt.com).
-  - NLP resources: OCR quality assessment, NER, entity linking, topic models  [oai_citation:5‡huggingface.co](https://huggingface.co/impresso-project?utm_source=chatgpt.com).
-  - Historical insights under the theme of media “influences”.
-- **🏛️ Partners**:
-  - Institutions: EPFL DHLAB; UZH Computational Linguistics; UNIL History Dept; C²DH Luxembourg.
-  - Archives/broadcasters: Swiss and Luxembourg national libraries, ONB, SBB, BL, BnF, BBC, INA, NISV, NZZ, Le Temps, etc.  [oai_citation:6‡impresso-project.ch](https://impresso-project.ch/?utm_source=chatgpt.com).
-- **🔗 GitHub**: [impresso-project](https://github.com/impresso) – codebases for Web App, pipelines, Datalab notebooks  [oai_citation:7‡github.com](https://github.com/impresso?utm_source=chatgpt.com).
-- **🧑‍🤝‍🧑 Hugging Face org** hosts multilingual NER, NEL, OCR‑quality models, and Spaces for entity linking/light  [oai_citation:8‡huggingface.co](https://huggingface.co/impresso-project?utm_source=chatgpt.com).
+  - Web App & Datalab platforms for exploratory analysis 
+  - NLP resources: Language identificatino, OCR quality assessment, NER, Named Entity Linking, topic models 
+  - Historical insights under the theme of media influences.
+- **🧑‍🤝‍🧑 Hugging Face org** hosts multilingual NER, NEL, OCR‑quality assessment models, and Spaces for named entity processing
 
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