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Entropy in Computational Linguistics

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 1128

Special Issue Editor


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Guest Editor
Department of Computer Science, Faculty of Informatics, University of Debrecen, 4032 Debrecen, Hungary
Interests: end-user document handling; developing computational thinking skills; didactics of informatics; computer-aided teaching; subject integration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Digital text management—including digital-born and digitized text-based documents—is one of the most popular but less researched fields of computational linguistics. It has, however, emerged that, in general terms, the use of digital artifacts may also be negative and detrimental to sustainable development. Specifically: (1) both end-users and professionals are involved (professionals at many different levels); (2) both the creation and the modification of these documents generate waste in terms of time, information, human and machine resources; (3) neither end-users nor professionals are aware of these losses, their lack of knowledge, and their inefficient and ineffective working processes; and (4) the effects of chatbots on both the reading comprehension of end-users and on the cohesion of texts should be studied further.

Thanks to recent developments, the entropy and sustainability rate of digital text-based documents can measure these losses. The ultimate goals of these studies and this Special Issue are to gather together papers that deal with the reduction or elimination of the waste generated in text management, open new opportunities in this special field of computational linguistics, find further objective measures that clearly present the problems with which we are faced, and offer solutions to overcome these issues.

Dr. Maria Csernoch
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital texts
  • word processors
  • end-users
  • measuring the entropy of digital texts
  • digital sustainability
  • effectiveness
  • efficiency
  • digital education
  • lean computing

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Published Papers (1 paper)

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Research

21 pages, 4158 KiB  
Article
Modification of Erroneous and Correct Digital Texts
by Mária Csernoch, Carolin Hannusch and Piroska Biró
Entropy 2024, 26(12), 1015; https://doi.org/10.3390/e26121015 - 23 Nov 2024
Cited by 1 | Viewed by 734
Abstract
The end-user paradox and the illusion of digital prosperity reveal the contradictory situation in which both non-professional and professional computer scientists and engineers seem satisfied with digital development but unaware of the magnitude of waste generated by end-users and their digital artifacts. To [...] Read more.
The end-user paradox and the illusion of digital prosperity reveal the contradictory situation in which both non-professional and professional computer scientists and engineers seem satisfied with digital development but unaware of the magnitude of waste generated by end-users and their digital artifacts. To measure this waste and to reveal end-users’ problem-solving strategies, our research group set up an objective measuring system that can calculate the entropy of digital texts (EDT). To calculate EDT, a testing process of 53 participants was launched where erroneous and correct natural language digital texts were modified according to the requirements of the tasks. It was found that erroneous documents require more time and information to be modified, which implies that waste is generated by handling these documents. It was also found that when the problem-solving processes are broken down into atomic steps, EDT can reveal uncertainty and idleness, which further increases waste. The goals of the present paper are to call attention to (1) the hidden waste generated by billions of end-users and its consequences, (2) educational approaches and general ignorance which have led to these low-level results, and (3) the need to set up a standard evaluation system for further analyses. Full article
(This article belongs to the Special Issue Entropy in Computational Linguistics)
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