Vocabulary Richness Metric for Extracting Author’s Semantic Mark in English Written Literary Works

• Main Authors: Madalina ZURINI, Alin ZAMFIROIU
• Format: Article
• Language: English
• Published: Inforec Association 2016-01-01
• Series: Informatică economică
• Subjects: Stylometry Analysis; Metrics; Author Mark; Lexical Ontology; Time-Trend Analysis; Intrinsic Plagiarism Detection
• Online Access: http://revistaie.ase.ro/content/79/04%20-%20Zurini,%20Zamfiroiu.pdf

The present paper starts from a short introduction of the major aspects debated regarding the stylometric measures used for extracting the personal signature added by a particular author to its English written works. Those measures are used in the context of indicating an author from a limited cardinality set of authors being given a set of documents or a defined indicators values which characterizes the semantic way that an author is writing its works. The paper addresses the problems of the semantic level of a work depending on the tokens that he uses in the paper, tokens that are extracted in a preprocessing step of analysis. The tokens are defined using a lexical ontology, for the English words referring to WordNet, and the automatic extracting of those tokens from the words found in the particular processed papers. The main vocabulary richness evaluation metrics are presented taking into account the major literature review and extracting the main steps into a new proposed metric that is combining the vocabulary richness with the semantic layer of a paper. The concept of author mark is described. The objective of this research paper is highlighted into the new proposed metric that is non-dependent on the main subject discussed in the analyzed paper. This objective leads to a general metric that combines documents from different subjects into a metric that can describe the vocabulary richness of a specific author depending on the works that he had written. Furthermore, the analysis is conducting into a time evolution of this metric, using the extraction of the trend of the author’s vocabulary richness indicator. Using a set of 13 years values of this indicator upon a specific author, the results are presented in this research paper. Future work refers to inserting this metric into a general description of the author mark into his specific English written works.