Abstract
A combination of three hypothesis methods has been proposed for authorship attribution. These are: the Student’s t-test, the Kolmogorov-Smirnov’s test and the chi-square test. This combination of methods can perfect adequacy of authorship attribution. With the help of these methods, the quantity of phoneme groups is minimized. The texts can be differentiated by one or three phoneme groups. The minimization of phoneme groups facilitates authorship attribution. On the basis of the results obtained, statistical models have been built. The models show author-differentiating capability of phoneme groups in authorship attribution. This way the highest author-differentiating capability of phoneme groups is determined. New software realizes the models applied. The program makes transforming a text into transcription faster. The transcription variants of words available in the program are used.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
