Crosslingual Semantic Search - Impresso II

Supervisor(s): Andrianos Michail & Dr. Simon Clematide

Crosslingual Semantic Search, focusing on studying and identifying N-Way Parallel Datasets and Bitext Mining. The aim is to apply these techniques to historical newspaper data to improve cross-lingual information retrieval and semantic search of multilingual models in noisy text.

• Machine Learning
• Python/Pytorch