each Greek symbolset corresponds to a variety of Latin symbols according to the processed data), simulating thus human-like behavior. The proposed transcriber employs knowledge derived from the analytical processing of 9,288 Greek-Greeklish word pairs annotated by real users and achieves the automatic transcription of any Greek word into a valid Greeklish form in a stochastic way (i.e. In this paper a stochastic Greek to Greeklish transcriber modeled by real user data is presented. ![]() Nevertheless, such transliteration systems do not simulate efficiently the human way of Greeklish writing, since Greeklish users do not follow a standardized way of transliteration. ![]() Greek to Greeklish transcription does not appear to be a difficult task since it can be achieved by directly mapping each Greek character to a corresponding symbol of the Latin alphabet.
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