Publication - Discriminating the Registers and Styles in the Modern Greek Language-Part 2: Extending the Feature Vector to Optimize Author Discrimination

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Discriminating the Registers and Styles in the Modern Greek Language-Part 2: Extending the Feature Vector to Optimize Author Discrimination

Research Area:  
Other topics in Computer Science
    
Type:  
Journal article

 

Year: 2004
Authors: George Tambouratzis; Stella Markantonatou; N. Hairetakis; Marina Vassiliou; George Carayannis; D. Tambouratzis
Journal: Literary and Linguistic Computing
Volume: 19
Number: 2
Pages: 221-242
DOI: 10.1093/llc/19.2.221
Abstract:
This article describes a method for discriminating among authors within a given register of Modern Greek. The focus here is to determine to what extent the stylistic differences among authors can be detected with a high degree of accuracy for a set of texts belonging to a well?defined register. To that end, the chosen register is characterized by a well?defined sub?language, from which a corpus of more than 1,000 documents has been created. To discriminate the texts according to author style, a series of experiments have been performed using statistical techniques. Each text has been represented by a vector covering several linguistic aspects, in an effort to determine the most effective style markers. The experimental results indicate that the proposed approach can successfully separate the author styles for a given register. An extensive study of the effectiveness of the different variable categories has been performed. For instance, diglossia information on its own is not sufficient for author discrimination. Instead, a systematic evaluation process indicates that part?of?speech, structural and algorithmically derived lemma?frequency variables are the most important style markers, their use leading to an author discrimination accuracy exceeding 90%.
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