Special Issue "Digital Natural Language Text Management in End-User Computing, and Methods for Improving Its Effectiveness"

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

Deadline for manuscript submissions: 31 January 2022.

Special Issue Editor

Dr. Maria Csernoch
E-Mail Website
Guest Editor
Department of Computer Science, Faculty of Informatics, University of Debrecen, 4032 Debrecen, Hungary
Interests: natural language processing; computational linguistics

Special Issue Information

Dear Colleagues,

The entropy of digital texts connected to their correctness is hardly researched. It is mutually accepted that program codes—written in artificial languages—should be error-free, and developers use any available tools to lessen the errors of these texts. However, this is not the case in end-user computing and digital natural language texts of any forms. Considering spreadsheet management, errors originating in coding are covered to an extent. However, the data content is hardly analyzed, similar to the output of coding activities, included webpage development.

In general, end-user computing has flooded the world with erroneous natural language texts, primarily in the form of world-processed texts, presentations, and webpages (e-texts for short) and professional computing with erroneous texts in the form of program outputs, spreadsheet documents, and webpages. These e-texts are mainly created and modified due to the authors’ ignorance and carelessness, causing serious financial losses both in human and machine resources. Research has already revealed that these discrepancies originate in misconceptions circulating in education and the software industry, including both the creation and application of these pieces of software. Detecting errors is closely related to entropy in information theory, where erroneous texts are comparable to their properly edited version. The error rate is one measure which is in close connection to entropy. However, there are various concepts which are not or are hardly researched in natural language e-texts but can be expressed with entropy: the recognition and sources of errors, their frequencies, consequences (considering human and machine resources, teaching aspects, sunk cost fallacy, etc.), probability, the proportion of artificial and natural languages, the factor of surprise, how these parameters effect information flow, etc.

While publications have focused on the definition of the properly edited text and error classes, further research on entropy, information surprise, and validated measuring systems to detect the error rate of e-texts is missing, and we thus invite works focusing on these topics to advance this field.

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 papers will be 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 1800 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

  • end-user computing
  • natural language e-text management
  • error recognition model
  • properly edited and formatted e-text
  • error rate
  • entropy
  • surprise
  • frequency

Published Papers

This special issue is now open for submission.
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