Discriminating the Registers and Styles in the Modern Greek Language-Part 2: Extending the Feature Vector to Optimize Author Discrimination
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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The taxonomy is supported by various plagiarism patterns (examples) from available corpora for plagiarism.
“The taxonomy is supported by various plagiarism patterns (i.e., examples) from available corpora for plagiarism [60].”
From Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods (2012) · cites this paper as [60]
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- Authors
- Tambouratzis, G.
- Corresponding author
- Tambouratzis, G.
- ORCID
- Tambouratzis, G.
- Venue
- Literary and Linguistic Computing
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-06-01
- Volume
- 19
- Issue
- 2
- Pages
- 221-242
- ISSN
- 0268-1145 (ISSN-L)
- 1477-4615
- OpenAlex
- W2153475516
- Cited by
- 26
- References
- 0
- Citations by year
- 2024: 1 · 2023: 1 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 2
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Literary and Linguistic Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Digital Humanities and Scholarship
- Keywords
- author profiling, Modern Greek, register, stylistic variation, feature vectors, style markers, diglossia, part-of-speech features, lemma frequency
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