- Description: Translating the Law is an exploration of NLP and deep learning techniques to summarise and simplify UK Supreme Court cases. The main frameworks and tools used were:
- Scraping: SCRAPY
- Summarisation model: BART
- Q&A model: BERT
- Case search: Elasticsearch
- Clustering: top2vec
- Frontend: Streamlit
- Containerisation & composition: Docker and GCP
The main data source was the UK Supreme Court
- The front end
- An example model generated summary
- The search page
- The summarisation page
