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A language model defines probable word succession probabilities: For example "now a daze" and "nowadays" are pronounced exactly the same, but because of context we know that "Now a daze I have a smartphone" is far less likely than "Nowadays I have a smartphone". To model such contextual information, speech recognition systems usually use an n-gram that contains information of how likely a specific word is, given the context of the sentence.