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In this paper, we present several innovative techniques that can be applied in a PPRLM system for language identification (LID). We will show how we obtained a 53.5% relative error reduction from our base system using several techniques. First, the application of a variable threshold in score computation, dependent on the average scores in the language model, provided a 35% error reduction. A random...