Phase 1: Study of available AI equipment, techniques, and architectures. Identification of limitations/constraints and possibilities for improving the technology to be adopted in correlation with specific requirements. Database collection, initiation of the database collection process
D1.1. The deliverable documented software module requirements, datasets, and performance metrics, aligning with project goals.
D1.2. The deliverable conducted a comprehensive evaluation of the state-of-the-art performance in incomplete sentence detection, satire, sarcasm, and irony detection, author attribution, toponym geolocation, numeral classification, multidomain paraphrasing, and readability analysis to achieve the project objectives.
D1.3. The deliverable analyzed data protection regulations, identified software risks, proposed mitigation strategies, and evaluated security measures, offering a comprehensive guide for safe practices and compliance with standards.
D1.4. The activity explored NLP solutions for the various software modules involved, specifically tailored to Romanian language. It clarified requirements and optimized approaches, laying a solid foundation for developing robust, scalable systems in the next project phase.
D1.5. The activity reviewed literature and databases on automatic lip reading, assessed resource limitations, and outlined requirements for enhanced datasets to advance visual speech recognition systems.
D1.6. The activity encompassed designing the user interface, back-end components, and planning software requirements for AI-driven modules to produce a functional prototype of the RoNLP system.
D1.7. The activity analyzed annotated databases for various software modules, evaluated existing resources, identified gaps, and proposed directions for creating new datasets to support advanced applications and future development.