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title: README
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**Interdisciplinary ML‑powered platform for exploring historical periodical media.**

- **📚 Corpus**: Aggregates an unprecedented multilingual archive of newspapers and radio across time and borders.
- **🎯 Vision**: Enables a semantic-enriched workflow for representation, exploration, and historical research across modalities like print and audio.
- **💡 Outputs**:
  - Web App & Datalab platforms for exploratory analysis, search and programmatic access
  - NLP resources: Language identificatino, OCR quality assessment, Named Entity Recognition, Named Entity Linking, topic models 
  - Historical insights under the theme of media influences.
- **🧑‍🤝‍🧑 Hugging Face Organization** hosts multilingual NER, NEL, OCR‑quality assessment models, and Spaces for named entity processing