The Corpus for Idiolectal Research (CIDRE)

Seminck, Olga; Gambette, Philippe; Legallois, Dominique; Poibeau, Thierry

doi:10.5334/johd.42

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…On the other hand, earlier Shakespeare plays also showed a different styles, such as the rhyming iambic pentameter used by Shakespeare in plays written in 1594-1595 [Harbage, 1962]. Stylistic and linguistic analysis such as the use of certain rare words, rhymes, and the use of colloquialism-in-verse were also used to determine the exact date of creation of Shakespeare's plays [Taylor, 1987;Whitworth, 2003], indicating that Shakespeare's style has changed over time [Klaussner and Vogel, 2015;Klaussner, 2018;Klaussner and Vogel, 2018;Andreev, 2019;Seminck et al, 2021Seminck et al, , 2022. While these elements are not necessarily related to sentiments and other elements tested in this study, they are in agreement with the contention that the plays of Shakespeare exhibited differences in their style in different years.…”

Section: Resultsmentioning

confidence: 99%

A data science and machine learning approach to continuous analysis of Shakespeare's plays

Swisher

Shamir

2023

Journal of Data Mining &Amp; Digital Humanities

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The availability of quantitative text analysis methods has provided new ways of analyzing literature in a manner that was not available in the pre-information era. Here we apply comprehensive machine learning analysis to the work of William Shakespeare. The analysis shows clear changes in the style of writing over time, with the most significant changes in the sentence length, frequency of adjectives and adverbs, and the sentiments expressed in the text. Applying machine learning to make a stylometric prediction of the year of the play shows a Pearson correlation of 0.71 between the actual and predicted year, indicating that Shakespeare's writing style as reflected by the quantitative measurements changed over time. Additionally, it shows that the stylometrics of some of the plays is more similar to plays written either before or after the year they were written. For instance, Romeo and Juliet is dated 1596, but is more similar in stylometrics to plays written by Shakespeare after 1600. The source code for the analysis is available for free download.

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Section: Resultsmentioning

confidence: 99%

A data science and machine learning approach to continuous analysis of Shakespeare's plays

Swisher

Shamir

2023

Journal of Data Mining &Amp; Digital Humanities

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“…The concept of idiolect remains understudied, especially in quantitative linguistics due to the lack of corresponding large corpora. One of the important stages of the study was the introduction of the CIDRE (Corpus for Idiolectal Research) corpus for diachronic and quantitative study of idiolect in French, created using the vocabulary of publicly available works of art of the 19 th century in electronic format (Seminck et al, 2021). Idiostyle is considered an idiolect in written terms, that is, it involves the analysis of not just a work of art as an aesthetic object but the verbalisation of the artistic idea of a particular author, which adds its intentions and enriches the common lexical and semantic layer with new meanings, adding an individual character to the work, sublimating its own internal experiences, choosing appropriate figurative means and stylistic means.…”

Section: Resultsmentioning

confidence: 99%

Idiolect – idiostyle – Sociolect: Differentiation and Interrelation of Linguistic Terms

Hirniak¹,

Кравченко-Дзондза²,

Луців³

et al. 2022

SMC

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The relevance of the study is conditioned upon the importance of distinguishing the concepts of idiolect, idiostyle, and sociolect in linguistic science, understanding the processes occurring at the border of the terminological field, and using psychological, sociological, and communicative aspects to understand the mechanisms of building these concepts. The purpose of the study is a comparative analysis of linguistic terms based on various criteria, in particular the number of communicants (speakers), social marking or neutrality of the lexical layer, the purpose, conditions, and purposes of the development of certain language layers, the features of the design of lexemes at different levels of the national language (phonological, phonetic, grammatical, morphological, stylistic, syntactic). The main method of research is a theoretical approach to understanding the concepts of idiolect, idiostyle, and sociolect, searching for relationships between them and differences. This study discloses the main intralingual and extralingual factors that contribute to the development, identification, or isolation of these concepts, the features of the coexistence of these terms in contexts with different stylistic content, considers the mechanisms by which the boundaries between these concepts can be outlined, focuses on modern research on the emergence of idiolects, idiostyles, and sociolects. The materials presented in this study will help to further study terminological processes in depth, in particular, contextual and conceptological, global interdisciplinary influences in the national space, mechanisms of isolation and structuring of certain terms to expand or narrow already known meanings.

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The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature

Seminck

Gambette

Legallois

et al. 2022

Journal of Cultural Analytics

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The way in which authors express themselves is unique but changes over their lifetime. However, quantitative studies of this idiolectal evolution are rare. Using the Corpus for Idiolectal Research (CIDRE) that contains the dated works of 11 prolific 19th century French fiction writers, we propose new methods to identify, quantify and describe the grammatical-stylistic changes that take place using lexico-morphosyntactic patterns, also called motifs. To examine the strength of the chronological signal of change, we developed a method to calculate if a distance matrix of literary works contains a stronger chronological signal than expected by chance. Ten out of 11 corpora showed a higher than chance chronological signal, leading us to conclude that the evolution of the idiolect is in a mathematical sense monotonic, supporting the rectilinearity hypothesis previously put forward in the stylometric literature. The rectilinear property of the evolution of the idiolect found for most authors in CIDRE subsequently enabled us to propose a machine learning task: predicting the year in which a work was written. For the majority of the authors in our corpus, the accuracy and the amount of variance that is explained by the model were high and we discuss why the technique might fail for others. After applying a feature selection algorithm, we examined the most important features, i.e. the motifs that have the greatest influence on idiolectal evolution. We find that some of those features are stylistic and have been previously identified in qualitative literature studies. We report some remarkable stylistic constructions revealed by our algorithm to illustrate which kind of stylistic patterns can be extracted using our method.

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The Corpus for Idiolectal Research (CIDRE)

Cited by 3 publications

References 4 publications

A data science and machine learning approach to continuous analysis of Shakespeare's plays

A data science and machine learning approach to continuous analysis of Shakespeare's plays

Idiolect – idiostyle – Sociolect: Differentiation and Interrelation of Linguistic Terms

The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature

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