Stylistic Fingerprints, POS-tags, and Inflected Languages: A Case Study in Polish

Eder, Maciej; Górski, Rafał L.

doi:10.1080/09296174.2022.2122751

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Thoughts and ideas presented in a written form capture the author's individuality in preferences with respect to applied language features. The elements, which are observable in many text samples irrespective of the subject matter or specific genre, constitute writer prints [27]. Most often, they refer to the lexical aspects of sentence construction, and syntactic annotation also plays a role.…”

Section: Stylometric Characteristic Featuresmentioning

confidence: 99%

Significance of Single-Interval Discrete Attributes: Case Study on Two-Level Discretisation

Stańczyk,

Zielosko,

Baron

2024

Applied Sciences

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Supervised discretisation is widely considered as far more advantageous than unsupervised transformation of attributes, because it helps to preserve the informative content of a variable, which is useful in classification. After discretisation, based on employed criteria, some attributes can be found irrelevant, and all their values can be represented in a discrete domain by a single interval. In consequence, such attributes are removed from considerations, and no knowledge is mined from them. The paper presents research focused on extended transformations of attribute values, thus combining supervised with unsupervised discretisation strategies. For all variables with single intervals returned from supervised algorithms, the ranges of values were transformed by unsupervised methods with varying numbers of bins. Resulting variants of the data were subjected to selected data mining techniques, and the performance of a group of classifiers was evaluated and compared. The experiments were performed on a stylometric task of authorship attribution.

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Section: Stylometric Characteristic Featuresmentioning

confidence: 99%

Significance of Single-Interval Discrete Attributes: Case Study on Two-Level Discretisation

Stańczyk,

Zielosko,

Baron

2024

Applied Sciences

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“…To increase the numbers of available text samples, these long texts were partitioned into much smaller parts, keeping comparable lengths [50]. For all these text chunks, the values were calculated for the arbitrarily selected group of lexical descriptors [51] in the form of frequency of occurrence [52] for twelve common two-letter function words as follows: as, at, by, if, in, no, of, on, or, so, to, up. Since these attributes are regular words, when they are referred to in descriptions of the experiments, formatting in italics is employed (e.g., the frequency of occurrence of of ).…”

Section: Data Preparationmentioning

confidence: 99%

Importance of Characteristic Features and Their Form for Data Exploration

Stańczyk,

Zielosko,

Baron

2024

Entropy

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The nature of the input features is one of the key factors indicating what kind of tools, methods, or approaches can be used in a knowledge discovery process. Depending on the characteristics of the available attributes, some techniques could lead to unsatisfactory performance or even may not proceed at all without additional preprocessing steps. The types of variables and their domains affect performance. Any changes to their form can influence it as well, or even enable some learners. On the other hand, the relevance of features for a task constitutes another element with a noticeable impact on data exploration. The importance of attributes can be estimated through the application of mechanisms belonging to the feature selection and reduction area, such as rankings. In the described research framework, the data form was conditioned on relevance by the proposed procedure of gradual discretisation controlled by a ranking of attributes. Supervised and unsupervised discretisation methods were employed to the datasets from the stylometric domain and the task of binary authorship attribution. For the selected classifiers, extensive tests were performed and they indicated many cases of enhanced prediction for partially discretised datasets.

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“…In addition, in the course of our discussion, it will become clear that this morphosyntactic approach is effective, with minimal adjustments, across a range of languages. This quality is beneficial in a field where English texts have been the predominant source of, and testing ground for, stylometric methods [11]).…”

Section: Introductionmentioning

confidence: 99%

Morphosyntactic Annotation in Literary Stylometry

Gorman

2024

Information

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This article investigates the stylometric usefulness of morphosyntactic annotation. Focusing on the style of literary texts, it argues that including morphosyntactic annotation in analyses of style has at least two important advantages: (1) maintaining a topic agnostic approach and (2) providing input variables that are interpretable in traditional grammatical terms. This study demonstrates how widely available Universal Dependency parsers can generate useful morphological and syntactic data for texts in a range of languages. These data can serve as the basis for input features that are strongly informative about the style of individual novels, as indicated by accuracy in classification tests. The interpretability of such features is demonstrated by a discussion of the weakness of an “authorial” signal as opposed to the clear distinction among individual works.

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Stylistic Fingerprints, POS-tags, and Inflected Languages: A Case Study in Polish

Cited by 5 publications

References 16 publications

Significance of Single-Interval Discrete Attributes: Case Study on Two-Level Discretisation

Significance of Single-Interval Discrete Attributes: Case Study on Two-Level Discretisation

Importance of Characteristic Features and Their Form for Data Exploration

Morphosyntactic Annotation in Literary Stylometry

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