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A language model that can predict the probability of next word in the sequence, based on the word already observed in the sequence You will discover how to develop a statistical language model using deep learning in Python. In this article, How to prepare text for developing a word-based language model. How to design and fit a neural language model with a learned embedding and an LSTM hidden layer. How to use the learned language model to generate new text with similar statistical properties as the source text.
