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Automatic text tagging is an important component in higher level analysis of text corpora, and its output can be used in many natural language processing applications. Trigrams tags is an efficient statistical part-of-speech tagging. This paper describes a POS tagging for Uyhur text based on hidden Markov model using trigrams tags. We describe the basic model of Trigrams Tags, the techniques used...
Mobile devices can produce continuous streams of data which are often specific to the person carrying them. We show that cellphone tracks from the MIT Reality dataset can be used to reliably characterize individual people. This is done by treating each person's data as a separate language by building a standard n-gram language model for each "author". We then compute the perplexities of...
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