The assumption of unigram language model is like conditional independence. Can we view this model as a special case of Naive Bayes?
For the estimation of language model, can we see the process of estimation as a machine learning application? In this case, we design a model with its assumptions and the data, which is the text. Then we use the data to train the model and predict on future text. The more data we have, the more predicting accuracy on future data.
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