NLP, Data Science, Artificial Intelligence, Machine Learning, Language Model.
the perplexity with a second language model that assigns equal probability to each word at each prediction. Since the language models can predict six words only, the probability of each word will be 1/6. P(“a red fox.”) = (1/6) ^ 4 = 0.00077 Pnorm(“a red fox.”) = P(“a red fox.”) ^ (1/4) = 1/6 PP(“a