Statistical Language Models (SLMs) were a game-changer in the 1990s for natural language processing and information retrieval tasks.
The core idea behind SLMs was to predict the next word based on the most recent context, using the Markov assumption which refers to the simplification that the probability of a word occurring in a sequence depends only on…
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