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Terminology in the Digital World
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Terminology in the Digital World

A special issue of Languages (ISSN 2226-471X).

Deadline for manuscript submissions: closed (10 December 2023) | Viewed by 4757

Special Issue Editors

Dr. Giorgio Maria Di Nunzio

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Guest Editor
Department of Information Engineering, University of Padova, 35122 Padova, PD, Italy
Interests: interactive machine learning; information retrieval; text classification; computational terminology; open science
Special Issues, Collections and Topics in MDPI journals
Dr. Rute Costa

E-Mail Website
Guest Editor
NOVA School of Social Sciences and Humanities, Linguistics Research Centre of NOVA University Lisbon, NOVA University Lisbon, 1099-085 Lisbon, Portugal
Interests: terminology; lexicography; lexical semantics; ontologies; LOD; corpus linguistics; lexicology
Special Issues, Collections and Topics in MDPI journals
Dr. Federica Vezzani

E-Mail Website
Guest Editor
Department of Linguistic and Literary Studies, University of Padova, 35122 Padova, PD, Italy
Interests: terminology; specialized translation; technical communication; ontologies; corpus linguistics; terminology management

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to the 2nd International Conference on "Multilingual digital terminology today. Design, representation formats and management systems" (MDTT 2023), held in Lisbon, Portugal, from 29 to 30 June 2023.

This Special Issue aims to bring together specialists in the disciplines of terminology, terminography, specialized lexicography, applied linguistics, corpus linguistics, and theoretical linguistics to share methodological reflections on design approaches, representation formats, and management systems for the terminology collected using digital terminological resources.

The aim is to study innovative approaches to evaluate from different perspectives the effectiveness of these systems, for example:

  • Analysis of the information needs of the future user of the resource;
  • Assessment of structural design approaches for terminological data collections;
  • Study of terminological metadata and data representation formats;
  • Methods of validating the ergonomics of a resource.

Dr. Giorgio Maria Di Nunzio
Dr. Rute Costa
Dr. Federica Vezzani
Guest Editors

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 double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Languages 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 1400 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

  • terminology
  • terminography
  • specialized lexicography
  • applied linguistics
  • corpus linguistics
  • theoretical linguistics
  • technical communication

Published Papers (4 papers)

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Research

18 pages, 2545 KiB  
Article
Toward Non-Taxonomic Structuring of Scientific Notions: The Case of the Language of Chemistry and the Environment
by Tomara Gotkova, Francesca Ingrosso, Polina Mikhel and Alain Polguère
Languages 2024, 9(3), 95; https://doi.org/10.3390/languages9030095 - 13 Mar 2024
Viewed by 810
Abstract
This paper addresses the crucial question of the structuring of scientific Notions for the purpose of their proper teaching/acquisition. It aims to demonstrate that non-taxonomic structures, derived from the systematic lexicographic definition of terminological lexical units, can be rigorously constructed and are adequate [...] Read more.
This paper addresses the crucial question of the structuring of scientific Notions for the purpose of their proper teaching/acquisition. It aims to demonstrate that non-taxonomic structures, derived from the systematic lexicographic definition of terminological lexical units, can be rigorously constructed and are adequate for implementing a non-isolationist approach to terminology modeling: one that embeds the description of terminological units within a more global model of the general lexicon. Using theoretical and descriptive principles of Explanatory Combinatorial Lexicology and the lexicography of lexical networks known as Lexical Systems, we apply our approach to the core terminology of chemistry and chemistry-related environmental terminology. This allows us to propose Notion building road maps for three languages—English, French and Russian—that can be used as guides for the teaching/acquisition of chemistry Notions. Additionally, exploiting the special case of the noun carbon—which pertains to chemistry, environmental science and, even, general language—we demonstrate the potential of our non-isolationist approach for interfacing distinct sectors of terminological knowledge. Full article
(This article belongs to the Special Issue Terminology in the Digital World)
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17 pages, 3267 KiB  
Article
Phraseology and Culture in Terminological Knowledge Bases: The Case of Pollution and Environmental Law
by Arianne Reimerink, Pilar León-Araúz and Melania Cabezas-García
Languages 2024, 9(3), 84; https://doi.org/10.3390/languages9030084 - 29 Feb 2024
Viewed by 903
Abstract
Despite its importance, environmental law has largely been ignored in environmental knowledge bases. This may be due to the fact that legal issues may not, strictly speaking, be considered scientific knowledge in environmental knowledge resources, which may in turn relate to the complexity [...] Read more.
Despite its importance, environmental law has largely been ignored in environmental knowledge bases. This may be due to the fact that legal issues may not, strictly speaking, be considered scientific knowledge in environmental knowledge resources, which may in turn relate to the complexity of reflecting the cultural component (which includes different legal systems) in the description of terms and concepts. The terminological knowledge base EcoLexicon has recently begun to include information on environmental law. This paper takes the methodological perspective of frame-based terminology to analyze typical verb collocations in environmental law that will be added to the phraseology module of EcoLexicon. Corpus analysis was used to compare the behavior of verbs collocating with pollution in environmental science and environmental law. Verbs were classified based on lexical domains and semantic classes through definition factorization, as described in the Lexical Grammar Model. The differences were mostly based on the specificity of the arguments and the emphasis on the polluter in environmental law. This resulted in a proposal for the inclusion and configuration of environmental law phraseology in EcoLexicon, showing sociocultural differences across environmental subdomains. Full article
(This article belongs to the Special Issue Terminology in the Digital World)
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17 pages, 4079 KiB  
Article
Quartz: A Template for Quantitative Corpus Data Visualization Tools
by Loryn Isaacs, Alex Odlum and Pilar León-Araúz
Languages 2024, 9(3), 81; https://doi.org/10.3390/languages9030081 - 28 Feb 2024
Viewed by 918
Abstract
Quantitative data visualization is an important element of corpus linguistics, and visualization tools are commonly available in corpus management systems (CMSs) or developed for custom tasks. Nonetheless, the implementation and advancement of visualization methods can be a challenge, both for individual projects and [...] Read more.
Quantitative data visualization is an important element of corpus linguistics, and visualization tools are commonly available in corpus management systems (CMSs) or developed for custom tasks. Nonetheless, the implementation and advancement of visualization methods can be a challenge, both for individual projects and collectively. This article introduces a web application template that integrates with the Sketch Engine application programming interface (API) to encourage the development of new visualization tools that can provide advanced visualization features while directly communicating with the CMS. The application template, written in Python and called Quartz, is described and implemented for the Humanitarian Encyclopedia as part of ongoing efforts to conduct analyses of humanitarian concepts. The application’s features, purpose, and limitations are described, and an example case study utilizing the software is offered, focusing on usage patterns of the concept localization in the humanitarian domain. Some of the challenges of improving visualization techniques for corpus-based analysis are discussed, including data interoperability and the role of visualization in data exploration. Full article
(This article belongs to the Special Issue Terminology in the Digital World)
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9 pages, 324 KiB  
Article
Isolating Terminology Layers in Complex Linguistic Environments: A Study about Waste Management
by Nicola Cirillo
Languages 2024, 9(3), 68; https://doi.org/10.3390/languages9030068 - 20 Feb 2024
Viewed by 876
Abstract
Automatic term extraction aims at extracting terminological units from specialized corpora to assist terminographers in developing glossaries, thesauri, and termbases. Unfortunately, traditional methods often overlook the complex relation between terminologies of different subject fields that co-occur in a single specialized corpus. This study [...] Read more.
Automatic term extraction aims at extracting terminological units from specialized corpora to assist terminographers in developing glossaries, thesauri, and termbases. Unfortunately, traditional methods often overlook the complex relation between terminologies of different subject fields that co-occur in a single specialized corpus. This study illustrates Domain Concept Relatedness, a novel term extraction technique meant to isolate the terminology of a given subject field. We test our technique against the term extraction tool of Sketch Engine and the contrastive approach by applying them to the extraction of waste management terms from a new Italian corpus about waste management legislation. The results show that Domain Concept Relatedness effectively extracts multi-word terms belonging to a given subject field but still fails to extract single-word terms. Full article
(This article belongs to the Special Issue Terminology in the Digital World)
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