Next-Word-Prediction-with-Deep-Learning-in-NLP

Next-word prediction in natural language processing (NLP) involves using deep learning models to anticipate the next word in a sequence based on the context of preceding words. This task typically employs architectures like Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), or Transformer models. By training on large corpora of text, these models learn patterns in language, enabling them to generate coherent and contextually relevant predictions. This technology is widely used in applications such as text autocompletion, chatbots, and virtual assistants.