Transcription and Recognition of Italian Parliamentary Speeches Using Vision-Language Models

1. 1Utilize Vision-Language Models to process scanned historical documents
2. 2Apply models to transcribe Italian parliamentary speeches
3. 3Evaluate transcription accuracy and compare to traditional OCR methods
4. 4Annotate transcriptions with semantic information to enable further analysis

Data scientists and AI engineers on a team can benefit from this research as it provides a novel approach to transcribing and analyzing historical documents, while product managers can consider the potential applications of this technology

💡 Vision-Language Models can improve transcription accuracy and provide semantic annotation for historical documents

📜 Vision-Language Models for transcription of Italian parliamentary speeches! 🤖