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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.
English-Sinhala multilingual word embedding alignment resources
Align Parallel Sentence of 104 Languages with the help of mBERT and LaBSE