Generation of Textual Description

Project Timeline & Milestones

Timeframe	Task	Completion
Week 4	Exploring the dataset Exploring in-context learning models for text summarization	✓
Week 5	Identify patterns and edge cases from the dataset (e.g missing fields, "odd" values) Define different summarization formats accordingly to be used for in-context learning Explore the connection between the Catastici and Sommarioni dataset	✓
Week 6	Refine summarization formats Construct a pipeline connecting translation generation, summarization and validation	✓
Week 7	Evaluate summarization results
Week 8	TBD
Week 9	TBD
Week 10	TBD
Week 11	TBD
Week 12	TBD
Week 13	TBD
Week 14	TBD

Methodology

Choosing NLP Model for Translation

Tried different SOTA models for translation --> Unsatisfactory results due to the nature of the language being in old time and specific to Venetian dialect. Preliminary results with 10 examples:

Original text	mBART	Google Translate	GPT-4
casa e bottega da barbier	and a barber pole	House and Bottega da Barbier	House and barber shop
casa	home	house	House
bottega da strazariol	a strawberry bottle	Bottega da Strazariol	Rag dealer's shop
casa e bottega da tentor	home and pushbutton	House and Bottega da Tentor	House and dyer’s shop
magazen	warehouse	magazen	Warehouse
mezà	Eight	mezà	Halfway house or mezzanine level
cas vuota	empty house	Cas empty	Empty house
casa a pepian	the pepian house	House in Pepian	House on the ground floor
bottega da confetti	Packaging bottle	Bottega da sugaredi	Confectioner’s shop
casa e bottega	home and doorbell	House and Bottega	House and shop

-> gonna choose GPT-4