In this project, we implemented a topic detection system on Twitter. This system reads tweets from a data stream and assigns them to one of the existing clusters or a new one. Each cluster acts as an agent, which makes the proposed approach a multi-agent system. There is also a coordinator, who monitors the whole system and coordinates the agent.
Convert LaBSE model from TF Hub to PyTorch.
Modular pipeline and interface for multilingual tag prediction on RKD art exhibition catalogues, built with LaBSE and Streamlit.
English-Sinhala multilingual word embedding alignment resources
Can different languages reveal the same underlying meaning space? This tool visualizes how words align across languages as they interact in a dynamic system. Inspired by the Platonic idea of ideal forms, it explores whether universal semantics emerge from linguistic diversity when viewed through the lens of energy and structure. (WIP)
Align Parallel Sentence of 104 Languages with the help of mBERT and LaBSE
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