CoReMo 2.3 Plagiarism Detector Text Alignment Module - Notebook for PAN at CLEF 2014

In this paper, the basics of the three tuning approaches of the evolving CoReMo Plagiarism Detector are shown, focused for the Text Alignment task. In the last PAN edition, it was observed that the different corpora could condition the necessary tuning, and the results using an overfitted tuning from a different corpus could be far from the expected ones. This year's goal has been to find the way to get the system could be self­tuned, looking for improving the performance of any fixed parameter tuning, and to be very closed to the over­fitted performance for any corpus. All of these tuning approaches have a high Plagdet performance for any corpus, but it’s intended to show the different advances effect on each corpus and for all the years corpora. They include new features for parameters self­tuning, based on the size and the ratio of the compared documents. For the competition, our choice was based on the most constant detection quality tuning approach when any condition (called WideTuning).