Methods Of Metadata In Creating Electronic Card-Index During Linguistic Text Processing Using The Scrivener Text Processor

© The Editorial Council and Editorial Board of Linguistic Studies

Linguistic Studies
Volume 41, 2021, pp. 
320-331

Methods Of Metadata In Creating Electronic Card-Index During Linguistic Text Processing Using The Scrivener Text Processor

Boiko Olha

Article first published online: May 01, 2021 


Additional information

 Author Information: 

Boiko Olha, Postgraduate Student majoring in 035 Philology, Department of Applied Lin¬guistics, Odesa I. I. Mechnikov National University. Her areas of research including discourse, intertextuality, fantasy.

Citation: 
Boiko, О. Methods Of Metadata In Creating Electronic Card-Index During Linguistic Text Processing Using The Scrivener Text Processor [Text] // Linhvistychni Studiyi / Linguistic Studies : collection of scientific papers / Vasyl' Stus 
Donetsk National University; Ed. by Anatoliy Zahnitko. Vinnytsia : Vasyl' Stus DonNU, 2021. Vol. 41. Pp. 320-331. ISBN 966-7277-88-7

DOI: http://dx.doi.org/10.31558/1815-3070.2021.41.32

Publication History:

Volume first published online: May 01, 2021
Article received: March 20, 2021, accepted: April 03, 2021 and first published online: May 01, 2021

Annotation.

Розглянуто функції і можливості текстового процесора Scrivener, як альтернативи традиційному текстовому процесору Microsoft Office Word під час лінгвістичного опрацю-вання тексту і формування електронної картотеки. Продемонстровано створення проєкту Scrivener, відбір ілюстративного матеріалу та подання його у формі картотеки; створення метаданих, що необхідні під час індексування значної кількості карток фактичного мате-ріалу. Перспективами дослідження є  пошук можливостей для спрощення й полегшення лінгвістичного аналізу тексту завдяки інноваційним програмам та онлайн сервісам, спрямо-ваним на автоматизацію, структурування інформації, розвиток аналітичних і креативних компетентностей дослідників. 

Key words: method of linguistic text analysis, Scrivener, electronic card index, metadata, key­words, computational linguistics.



Abstract.

METHODS OF METADATA IN CREATING ELECTRONIC CARD-INDEX DURING LINGUISTIC TEXT PROCESSING USING THE SCRIVENER TEXT PROCESSOR

Olha Boiko

Department of Applied Linguistics, Odesa I. I. Mechnikov National University, Odesa, Ukraine

Abstract

Background: The study of the functions and capabilities of the Scrivener word processor seems relevant, since it is an alternative to the traditional Microsoft Office Word word processor during linguistic processing of texts and the creation of an electronic card-index.

Purpose: The purpose of the article is to give a general idea about the functioning of the Scrive­ner program, about the use of metadata when creating cards with illustrative material, and also to analyze the differences between word processors of two paradigms ‒ WYSIWYG (What You See Is What You Get) and WYSIWYM (What You See Is What You Mean).

Results: We found out that the logical structure of the text and distraction-free writting are important, that is, working on the text without distractions. We also demonstrated the creation of a Scrivener project, the selection of illustrative material and its design in the form of an electronic card-index. Such a card index will lay the foundation for our own mini-corpus of texts for researchers in the field of the humanities, in particular, philologists. The Scrivener project has the ability to index cards with keywords and labels, and create other metadata, which contributes to the construction of logical connections, analysis and synthesis, as well as quick orientation in a large array of text frag­ments.

Discussion: Individualization of all the functions that is in the program, the game element and other nuances of the interface allow changing the attitude of researchers to a long and large amount of time and material work, perceiving it in a positive way, which affects the productivity of scientific research.

Research prospects are to search for further opportunities to simplify and facilitate the linguistic analysis of text through innovative programs and online services aimed at automating, structuring information, developing analytical and creative competencies of researchers.

Key words: method of linguistic text analysis, Scrivener, electronic card index, metadata, key­words, computational linguistics.

Vitae

Olha Boiko is Postgraduate Student majoring in 035 Philology, Department of Applied Lin­guistics, Odesa I. I. Mechnikov National University. Her areas of research including discourse, intertextuality, fantasy.


Article.

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