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The "Ukrainian Word Generation" uses a character-level recurrent neural network (RNN) to create new Ukrainian words. The goal is to train a model that understands the structure of Ukrainian words and generates plausible new ones based on a given seed. It applies PyTorch for implementing the RNN, with Long Short-Term Memory (LSTM).

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