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This article explains the concept of language models in natural language processing (NLP) and how they are essential to speech recognition, machine translation, and text summarization. It also divides language models into two categories, based on probability theory and statistical language models. It then goes on to discuss the n-gram model and how it divides a string of words into overlapping groups of n consecutive words.
