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Journal articles on the topic 'Domain specific terminology'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Pazienza, Maria Teresa. "A domain-specific terminology-extraction system." Terminology 5, no. 2 (1998): 183–201. http://dx.doi.org/10.1075/term.5.2.07paz.

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Recently, new technologies have combined to produce a sharp increase in the availability of on-line texts and their access involves end-users with different skills. The demand for tools for information retrieval, extraction, organization and integration is becoming more and more pressing to filter relevance and sort the large number of retrieved documents. It is not the amount of information that gives the value but the access at the right time and in the most suitable form to an acceptable amount of relevant documents. Moreover the increasing availability of new information-transmission techn

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Yoon, Byung Ho, Junwoo Kim, and Namgyu Kim. "Domain-Specific Terminology Mapping Methodology Using Supervised Autoencoders." Information Systems Review 25, no. 1 (2023): 93–110. http://dx.doi.org/10.14329/isr.2023.25.1.093.

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Zhang, Yinsheng, and Guoming Zhang. "A Domain-Specific Terminology for Retinopathy of Prematurity and Its Applications in Clinical Settings." Journal of Healthcare Engineering 2018 (2018): 1–6. http://dx.doi.org/10.1155/2018/9237319.

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A terminology (or coding system) is a formal set of controlled vocabulary in a specific domain. With a well-defined terminology, each concept in the target domain is assigned with a unique code, which can be identified and processed across different medical systems in an unambiguous way. Though there are lots of well-known biomedical terminologies, there is currently no domain-specific terminology for ROP (retinopathy of prematurity). Based on a collection of historical ROP patients’ data in the electronic medical record system, we extracted the most frequent terms in the domain and organized

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Lu, Tianyu, Zhongwen Zhou, Jiayi Wang, and Yong Wang. "A Large Language Model-based Approach for Personalized Search Results Re-ranking in Professional Domains." International Journal of Language Studies (ISSN : 3078 - 2244) 1, no. 2 (2024): 1–6. http://dx.doi.org/10.60087/ijls.v1.n2.001.

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Search result personalization and re-ranking in professional domains present significant challenges due to the complexity of domain-specific terminology and varying user expertise levels. This paper proposes a novel framework integrating Large Language Models (LLMs) with personalized search re-ranking for professional domains. The framework incorporates four key components: LLM-based user profile construction, professional domain knowledge encoding, cross-encoder re-ranking, and dynamic weight allocation. The user profile construction module utilizes historical interactions and professional be

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Ahmadian, L., R. Cornet, E. de Jonge, N. F. de Keizer, and F. Bakhshi-Raiez. "Construction of an Interface Terminology on SNOMED CT." Methods of Information in Medicine 49, no. 04 (2010): 349–59. http://dx.doi.org/10.3414/me09-01-0057.

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Summary Objective: To provide a generic approach for developing a domain-specific interface terminology on SNOMED CT and to apply this approach to the domain of intensive care. Methods: The process of developing an interface terminology on SNOMED CT can be regarded as six sequential phases: domain analysis, mapping from the domain concepts to SNOMED CT concepts, creating the SNOMED CT subset guided by the mapping, extending the subset with non-covered concepts, constraining the subset by removing irrelevant content, and deploying the subset in a terminology server. Results: The APACHE IV class

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Ni, Weijian, Tong Liu, Qingtian Zeng, and Nengfu Xie. "Mining Domain Terminologies Using Search Engine's Query Log." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 6 (2021): 1–32. http://dx.doi.org/10.1145/3462327.

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Domain terminologies are a basic resource for various natural language processing tasks. To automatically discover terminologies for a domain of interest, most traditional approaches mostly rely on a domain-specific corpus given in advance; thus, the performance of traditional approaches can only be guaranteed when collecting a high-quality domain-specific corpus, which requires extensive human involvement and domain expertise. In this article, we propose a novel approach that is capable of automatically mining domain terminologies using search engine's query log—a type of domain-independent c

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Ploscă, Traian-Radu, Christian-Daniel Curiac, and Daniel-Ioan Curiac. "Investigating Semantic Differences in User-Generated Content by Cross-Domain Sentiment Analysis Means." Applied Sciences 14, no. 6 (2024): 2421. http://dx.doi.org/10.3390/app14062421.

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Sentiment analysis of domain-specific short messages (DSSMs) raises challenges due to their peculiar nature, which can often include field-specific terminology, jargon, and abbreviations. In this paper, we investigate the distinctive characteristics of user-generated content across multiple domains, with DSSMs serving as the central point. With cross-domain models on the rise, we examine the capability of the models to accurately interpret hidden meanings embedded in domain-specific terminology. For our investigation, we utilize three different community platform datasets: a Jira dataset for D

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Olga, Cosovan. "Learning a Language and Various Terminologies Autonomously." Keywords: language of instruction, specific competence, competence unit, dictionary, terminological system. 21, no. 3 (127) (2021): 28–31. https://doi.org/10.5281/zenodo.5036333.

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Regardless of the type of education they are undergoing, every person is constantly and autonomously learning the language they communicate in. Set as a skill specific to the study of the language of instruction, autonomous language study cannot be reduced to the mere acquaintance with and use of dictionaries; it creates virtual platforms for the assimilation of knowledge through the assimilation of terminology. This platform remains equally functional beyond school boundaries, when, in virtue of circumstances, we learn medical or IT terminology, as well as the terminology pertaining to domain

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Aussenac-Gilles, Nathalie, and Dagobert Sörgel. "Text analysis for ontology and terminology engineering." Applied Ontology: An Interdisciplinary Journal of Ontological Analysis and Conceptual Modeling 1, no. 1 (2005): 35–46. https://doi.org/10.3233/apo-2005-000005.

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After a recent breakthrough in the early 90's, text analysis is acknowledged as one of the promising ways to rapidly build better grounded semantic resources such as terminologies and ontologies. This domain has recently undergone significant evolutions with a massive reference to machine learning algorithms and information extraction techniques together with linguistic- and statistic-based natural language processing. This position paper promotes three main ideas: (i) that highly domain-specific or task-specific, even idiosyncratic ontologies, are very useful, especially when they are linked

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Rusu, Mihai Robert. "Medical translation and terminology issues." Scientific Bulletin of the Politehnica University of Timişoara Transactions on Modern Languages 22, no. 1 (2024): 106–10. http://dx.doi.org/10.59168/yinn8755.

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Two broad categories are identified: general and specialized translation. Medical translation refers to the subdivisions of translation service provision in relation to healthcare, medical products, biotechnology that involve specific terminology and accurate understanding of medical documents. The specific medical language can be analysed along: the user, the domain of use and special application of language. In this line of approach, some authors provide a comprehensive inventory of “the modern language of medicine”, claiming that it basically “represents the ancient Greek language transcrib

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Bae, Jae Kwon. "A Study on Application of the Artificial Intelligence-Based Pre-trained Language Model." Academic Society of Global Business Administration 21, no. 2 (2024): 64–83. http://dx.doi.org/10.38115/asgba.2024.21.2.64.

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Pre-trained Language Model(PLM) refers to a natural language processing(NLP) model that has been pre-trained using large amounts of text data. The PLM has the limitation of not being able to understand domain-specific terminology due to a lack of training data for terminology. Therefore, the need for a domain-specific language model modified through BERT- or GPT-based pre-trained learning has recently been emphasized. In this study, we analyze BERT's pre-training method and BERT-based transformation techniques (ALBERT, RoBERTa, ELECTRA) and propose a PLM that can be used in biomedical, financi

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Schnieder, Eckehard, Lars Schnieder, and Christian Stein. ""OPEN SESAME" – TOWARDS A NEXT GENERATION TERMINOLOGY MANAGEMENT SYSTEM." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 13, no. 3 (2009): 1–16. http://dx.doi.org/10.3233/jid-2009-13301.

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The existing diversity of languages for special purposes leads to their their commonly highly complex and thoroughly differentiated terminologies. Getting an overview has become almost impossible without appropriate terminology management systems. Existing terminology management systems cannot effectively accommodate regular changes, updates of or additions to multilingual terminologies. While the deficits are becoming more and more obvious, new perspectives are emerging at the same time. Those new perspectives include the integration of terminology bases, the revelation of partially overlappi

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Bazarboyevna, Salimova Sohiba. "SPECIFIC FEATURES OF MILITARY TECHNICAL TERMS IN THE CHINESE LANGUAGE." American Journal of Philological Sciences 4, no. 1 (2024): 81–86. http://dx.doi.org/10.37547/ajps/volume04issue01-14.

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This scientific article explores the distinctive characteristics and specific features of military technical terms in the Chinese language. The Chinese language, with its rich history and unique linguistic structure, presents a fascinating domain for the study of military terminology. This paper delves into the historical development, linguistic characteristics, and modern trends in the usage of military technical terms in Chinese, shedding light on the importance of language in military communication and the cultural significance embedded in these terms.

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Langlais, Philippe, and Michael Carl. "General-purpose statistical translation engine and domain specific texts." Recent Trends in Computational Terminology 10, no. 1 (2004): 131–53. http://dx.doi.org/10.1075/term.10.1.07lan.

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The past decade has witnessed exciting work in the field of Statistical Machine Translation (SMT). However, accurate evaluation of its potential in real-life contexts is still an open question. In this study, we investigate the behavior of an SMT engine faced with a corpus far different from the one it has been trained on. We show that terminological databases are obvious resources that should be used to boost the performance of a statistical engine. We propose and evaluate one way of integrating terminology into a SMT engine which yields a significant reduction in word error rate.

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Yin, Jian. "Chinese terminology studies." Chinese Semiotic Studies 17, no. 1 (2021): 71–88. http://dx.doi.org/10.1515/css-2021-0003.

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Abstract A single but collective, multifaceted, and multidimensional theory of terminology relies on the contributions of scholars in different ways and in different languages. Local terminology practice and exploration back-feed the general theory and jointly contribute to the completion of a comprehensive theoretical framework. This paper analyzes the application of terminology as the driving force of the discipline, which includes standardized application, domain-specific communicative application, and cross-cultural/cross-lingual application. Specifically, the characteristics of terminolog

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Vezzani, Federica, and Rute Costa. "Variation in psychopathological terminology." Terminology 30, no. 1 (2024): 81–106. http://dx.doi.org/10.1075/term.00078.vez.

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Abstract Representing specialized knowledge in the medical domain implies considering the dynamism of scientific and technological progress. The advancement of knowledge on diseases goes hand in hand with the reconceptualization processes undertaken by experts with consequent conceptual evolutions and possible variations of the terms used to designate medical concepts. Sometimes term variation is the result of a desire to avoid or overcome negative connotations anchored in medical terms, and leads to the creation of less evaluatively charged terms that carry a diminished ideological load. This

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Abrosimova, E. "Conceptualization of the plant world in veterinary clinical terminology." Key Issues of Contemporary Linguistics, no. 4 (May 11, 2023): 6–16. https://doi.org/10.18384/2949-5075-2023-4-6-16.

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Aim. To identify specific features of world modeling in clinical veterinary terminology based on the analysis of the metaphorical and metonymic conceptual models with the source domain “plant”.Methodology. The main content of the study is the analysis of conceptual models with the source domain “plant” in veterinary terms denoting pathological processes and methods of treatment. The material of the study is professional veterinary dictionaries and manuals, as well as referrals for histopathological examination, which indicate the clinical data of an animal.Results. The analysis showed that bot

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Gamper, Johann, and Oliviero Stock. "Corpus-based terminology." Terminology 5, no. 2 (1998): 147–59. http://dx.doi.org/10.1075/term.5.2.05gam.

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The manual acquisition of terminological material from the domain-specific text material is a very time-consuming task. Recent advances in text-processing research provide a basis for automating this task. Computer-assisted term acquisition improves both the quantity and the quality of terminological work. This paper gives a brief overview of this new approach in terminology acquisition. Three subtasks are distinguished: compilation of an electronic text corpus, extraction of terminological data, and management of terminological data. Each of the subtasks will be discussed in some detail by id

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Valentini, Cristina, Geoffrey Westgate, and Philippe Rouquet. "The PCT Termbase of the World Intellectual Property Organization." Terminology 22, no. 2 (2016): 171–200. http://dx.doi.org/10.1075/term.22.2.02val.

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Many key terminology databases are managed by national and international organizations. However, the methodology behind the development of such databases has rarely been discussed. This paper presents the terminology database of the Patent Cooperation Treaty (PCT) of the World Intellectual Property Organization (WIPO), the scientific and technical patent terminology database in ten languages available for browse online in WIPO Pearl. The article discusses in detail the design and structure of the PCT Termbase with reference to ISO standards. Divergences are explained in light of specific aspec

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Hao, Qin, and Li Zhi. "Precision in Practice: Enhancing Healthcare with Domain-Specific Language Models." Applied Science & Engineering Journal for Advanced Research 3, no. 4 (2024): 28–33. https://doi.org/10.5281/zenodo.13253336.

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This paper investigates the role of domain-specific language models (DSLMs) in enhancing the accuracy and reliability of responses to general medical inquiries. Focusing on the healthcare sector, we explore how LLMs, when fine-tuned with specialized medical datasets, surpass general language models in handling complex medical terminology and ensuring patient data confidentiality. The benefits of these models include increased precision in medical advice, a reduction in misinformation risks, and tailored responses based on individual patient histories. Nonetheless, implementing these technologi

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Kolovos, Petros. "NURSING CARE PLAN OUTCOMES BASED ON A STANDARDIZED TERMINOLOGY: SURGICAL PATIENT PHYSIOLOGICAL AND BEHAVIORAL RESPONSES." Perioperating Nursing (GORNA) 13, no. 1 (2024): 4–12. https://doi.org/10.5281/zenodo.14775544.

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<strong>Introduction: </strong>Standardized nursing terminologies contribute to effective documentation of care, improve communication and outcomes to patients and care organizations, and promote nursing research. Aim: The aim of this article was to describe the nursing care plan outcomes related to patients undergoing surgery physiological and behavioral responses, according to the standardized terminology Perioperative Nursing Data Set (PNDS). Methodology: A narrative literature review was conducted based on articles retrieved from scientific databases (PubMed/Medline, Google Scholar) with s

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Saneifar, Hassan, Stéphane Bonniol, Pascal Poncelet, and Mathieu Roche. "From Terminology Extraction to Terminology Validation:An Approach Adapted to Log Files." JUCS - Journal of Universal Computer Science 21, no. (4) (2015): 604–35. https://doi.org/10.3217/jucs-021-04-0604.

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Log files generated by computational systems contain relevant and essential information. In some application areas like the design of integrated circuits, log files generated by design tools contain information which can be used in management information systems to evaluate the final products. However, the complexity of such textual data raises some challenges concerning the extraction of information from log files. Log files are usually multi-source, multi-format, and have a heterogeneous and evolving structure. Moreover, they usually do not respect natural language grammar and structures eve

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Pajić, Vesna, Staša Vujičić Stanković, Ranka Stanković, and Miloš Pajić. "Semi-automatic extraction of multiword terms from domain-specific corpora." Electronic Library 36, no. 3 (2018): 550–67. http://dx.doi.org/10.1108/el-06-2017-0128.

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Purpose A hybrid approach is presented, which combines linguistic and statistical information to semi-automatically extract multiword term candidates from texts. Design/methodology/approach The method is designed to be domain and language independent, focusing on languages with rich morphology. Here, it is used for extracting multiword terms from texts in Serbian, belonging to the agricultural engineering domain, as a use case. Predefined syntactic structures were used for multiword terms. For each structure, a finite state transducer was developed, which recognizes text sequences having that

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Gillam, Lee, Mariam Tariq, and Khurshid Ahmad. "Terminology and the construction of ontology." Terminology 11, no. 1 (2005): 55–81. http://dx.doi.org/10.1075/term.11.1.04gil.

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This paper discusses a method for corpus-driven ontology design: extracting conceptual hierarchies from arbitrary domain-specific collections of texts. These hierarchies can form the basis for a concept-oriented (onomasiological) terminology collection, and hence may be used as the basis for developing knowledge-based systems using ontology editors. This reference to ontology is explored in the context of collections of terms. The method presented is a hybrid of statistical and linguistic techniques, employing statistical techniques initially to elicit a conceptual hierarchy, which is then aug

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Alruqimi, Mohammed, and Noura Aknin. "Enabling social WEB for IoT inducing ontologies from social tagging." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 1 (2019): 19. http://dx.doi.org/10.11591/ijict.v8i1.pp19-24.

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<span>Semantic domain ontologies are increasingly seen as the key for enabling interoperability across heterogeneous systems and sensor-based applications. The ontologies deployed in these systems and applications are developed by restricted groups of domain experts and not by semantic web experts. Lately, folksonomies are increasingly exploited in developing ontologies. The “collective intelligence”, which emerge from collaborative tagging can be seen as an alternative for the current effort at semantic web ontologies. However, the uncontrolled nature of social tagging systems leads to

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ARCAN, MIHAEL, MARCO TURCHI, SARA TONELLI, and PAUL BUITELAAR. "Leveraging bilingual terminology to improve machine translation in a CAT environment." Natural Language Engineering 23, no. 5 (2017): 763–88. http://dx.doi.org/10.1017/s1351324917000195.

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AbstractThis work focuses on the extraction and integration of automatically aligned bilingual terminology into a Statistical Machine Translation (SMT) system in a Computer Aided Translation scenario. We evaluate the proposed framework that, taking as input a small set of parallel documents, gathers domain-specific bilingual terms and injects them into an SMT system to enhance translation quality. Therefore, we investigate several strategies to extract and align terminology across languages and to integrate it in an SMT system. We compare two terminology injection methods that can be easily us

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Xu, Yan, Tao Wang, Yang Yuan, et al. "LLM-Enhanced Framework for Building Domain-Specific Lexicon for Urban Power Grid Design." Applied Sciences 15, no. 8 (2025): 4134. https://doi.org/10.3390/app15084134.

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Traditional methods for urban power grid design have struggled to meet the demands of multi-energy integration and high resilience scenarios due to issues such as delayed updates of terminology and semantic ambiguity. Current techniques for constructing domain-specific lexicons face challenges like the insufficient coverage of specialized vocabulary and imprecise synonym mining, which restrict the semantic parsing capabilities of intelligent design systems. To address these challenges, this study proposes a framework for constructing a domain-specific lexicon for urban power grid design based

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Balakhonov, Vladimir, and Christopher D. Mellinger. "Developing and Using an Ad Hoc Corpus to Teach Specialized Interpreting: A Case Study of German Embassy Speeches." CLINA Revista Interdisciplinaria de Traducción Interpretación y Comunicación Intercultural 9, no. 2 (2023): 135–59. http://dx.doi.org/10.14201/clina202392135159.

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This article describes a corpus-based approach to specialized interpreter training, advocating for the compilation and use of ad hoc corpora to support trainers when developing training materials for specific domains. To do so, this article presents a case study to illustrate the utility and the subsequent analysis of an ad hoc corpus for specialized interpreting training, which is conceived of as a complement to current training practices for diplomatic interpreting. A specialized German language corpus of embassy speeches and interviews was compiled based on freely-available data and subsequ

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Nazar, Rogelio. "A statistical approach to term extraction." International Journal of English Studies 11, no. 2 (2011): 159. http://dx.doi.org/10.6018/ijes/2011/2/149691.

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This paper argues in favor of a statistical approach to terminology extraction, general to all languages but with language specific parameters. In contrast to many application-oriented terminology studies, which are focused on a particular language and domain, this paper adopts some general principles of the statistical properties of terms and a method to obtain the corresponding language specific parameters. This method is used for the automatic identification of terminology and is quantitatively evaluated in an empirical study of English medical terms. The proposal is theoretically and compu

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Heinisch, Barbara. "Large language models for terminology work: A question of the right prompt?" Journal for Language Technology and Computational Linguistics 38, no. 2 (2025): 13–30. https://doi.org/10.21248/jlcl.38.2025.280.

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Text-generative large language models (LLMs) offer promising possibilities for terminology work, including term extraction, definition creation and assessment of concept relations. This study examines the performance of ChatGPT, Perplexity and Microsoft CoPilot for conducting terminology work in the field of the Austrian and British higher education systems using strategic prompting frameworks. Despite efforts to refine prompts by specifying language variety and system context, the LLM outputs failed to reliably differentiate between the Austrian and German systems and fabricated terms. Factor

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Zhang, Wenwen, Yanfang Gao, Zifan Xu, et al. "Research on Co-Interactive Model Based on Knowledge Graph for Intent Detection and Slot Filling." Applied Sciences 15, no. 2 (2025): 547. https://doi.org/10.3390/app15020547.

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Intent detection and slot filling tasks share common semantic features and are interdependent. The abundance of professional terminology in specific domains, which poses difficulties for entity recognition, subsequently impacts the performance of intent detection. To address this issue, this paper proposes a co-interactive model based on a knowledge graph (CIMKG) for intent detection and slot filling. The CIMKG model comprises three key components: (1) a knowledge graph-based shared encoder module that injects domain-specific expertise to enhance its semantic representation and solve the probl

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Faber, Pamela, and Arianne Reimerink. "Framing terminology in legal translation." International Journal of Legal Discourse 4, no. 1 (2019): 15–46. http://dx.doi.org/10.1515/ijld-2019-2015.

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Abstract Legal language and its translation are considerably more complex than scientific and technical translation because the legal object is a text that performs an action. For this reason it is not only necessary to consider the legal terminology but also the structure of the text itself as well as the verbs used and their performative act. In this paper, we explore how the analysis of terminological meaning in legal texts can be addressed from the perspective of Frame-Based Terminology (FBT), a cognitive approach to domain-specific language, which directly links specialized knowledge repr

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A., Balagiu. "Elements of oceanographic terminology in english and romanian." Scientific Bulletin of Naval Academy XXII, no. 1 (2019): 200–205. http://dx.doi.org/10.21279/1454-864x-19-i1-028.

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Oceanography is a vast domain dealing with various aspects of marine life, physical and chemical aspects of the seas and oceans of the world. Searching available oceanographic documents of the 19th, 20th and 21st century, the aim of the paper is to emphasize the specific terminology of at least one of the branches of oceanography. The branches of oceanography deal with marine biology, ocean chemistry, marine geology and marine physics. The differences between the Romanian and English terminology according to the etymology are brought into discussion and conclusions drawn according to the simil

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Zhao, Xinghao, Yanzhu Hu, Tingxin Qin, Wang Wan, and Yudi Wang. "A Domain-Specific Lexicon for Improving Emergency Management in Gas Pipeline Networks through Knowledge Fusing." Applied Sciences 14, no. 17 (2024): 8094. http://dx.doi.org/10.3390/app14178094.

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Emergencies in gas pipeline networks can lead to significant loss of life and property, necessitating extensive professional knowledge for effective response and management. Effective emergency response depends on specialized knowledge, which can be captured efficiently through domain-specific lexicons. The goal of this research is to develop a specialized lexicon that integrates domain-specific knowledge to improve emergency management in gas pipeline networks. The process starts with an enhanced version of Term Frequency–Inverse Document Frequency (TF-IDF), a statistical method used in infor

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Mohammed, Alruqimi, and Aknin Noura. "Enabling social web for IoT inducing ontologies from social tagging." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 1 (2019): 19–24. https://doi.org/10.11591/ijict.v8i1.pp19-24.

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Semantic domain ontologies are increasingly seen as the key for enabling interoperability across heterogeneous systems and sensor-based applications. The ontologies deployed in these systems and applications are developed by restricted groups of domain experts and not by semantic web experts. Lately, folksonomies are increasingly exploited in developing ontologies. The “collective intelligence”, which emerge from collaborative tagging can be seen as an alternative for the current effort at semantic web ontologies. However, the uncontrolled nature of social tagging systems leads to

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Martín-Moncunill, David, Miguel-Ángel Sicilia-Urban, Elena García-Barriocanal, and Salvador Sánchez-Alonso. "Evaluating the degree of domain specificity of terms in large terminologies." Online Information Review 39, no. 3 (2015): 326–45. http://dx.doi.org/10.1108/oir-02-2015-0052.

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Purpose – Large terminologies usually contain a mix of terms that are either generic or domain specific, which makes the use of the terminology itself a difficult task that may limit the positive effects of these systems. The purpose of this paper is to systematically evaluate the degree of domain specificity of the AGROVOC controlled vocabulary terms as a representative of a large terminology in the agricultural domain and discuss the generic/specific boundaries across its hierarchy. Design/methodology/approach – A user-oriented study with domain-experts in conjunction with quantitative and s

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Reddy, K. Sahit, N. Ragavenderan, Vasanth K., Ganesh N. Naik, Vishalakshi Prabhu H, and Nagaraja G. S. "MedicalBERT: enhancing biomedical natural language processing using pretrained BERT-based model." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 3 (2025): 2367. https://doi.org/10.11591/ijai.v14.i3.pp2367-2378.

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<p><span lang="EN-US">Recent advances in natural language processing (NLP) have been driven by pretrained language models like BERT, RoBERTa, T5, and GPT. These models excel at understanding complex texts, but biomedical literature, with its domain-specific terminology, poses challenges that models like Word2Vec and bidirectional long short-term memory (Bi-LSTM) can't fully address. GPT and T5, despite capturing context, fall short in tasks needing bidirectional understanding, unlike BERT. Addressing this, we proposed MedicalBERT, a pretrained BERT model trained on a large biomedic

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Танева, С. Й. "MEDICAL DISCOVERIES, DISEASES AND SYNDROMES IN EPONYMOUS TERMINOLOGY (BASED ON ENGLISH, RUS-SIAN AND BULGARIAN MEDICAL DISCOURSE)." Университетская клиника, no. 4(37) (December 1, 2020): 97. http://dx.doi.org/10.26435/uc.v0i4(37).622.

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Thirty medical eponymous terminological units named after great scientists, physicians, mythological and literary characters have been debated in the current study. The eponymous terms are presented in English, Russian and Bulgarian medical discourse. Brief medical descriptions of the particular discovery, disease or syndrome have been made. Information is given about the person after whom the eponymous term is named, as well. The basic parameters of scientific term are identified: a) Unambiguity; b) Accuracy; c) Brevity; d) Systematicity; e) Grammatical correctness; f) Stylistic neutrality; g

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Bonato, Vanessa, Giorgio Maria Di Nunzio, and Federica Vezzani. "A Novel Approach to Semic Analysis: Extraction of Atoms of Meaning to Study Polysemy and Polyreferentiality." Languages 9, no. 4 (2024): 121. http://dx.doi.org/10.3390/languages9040121.

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Semic analysis is a linguistic technique aimed at methodically factorizing the meaning of terms into a collection of minimum non-decomposable atoms of meaning. In this study, we propose a methodology targeted at enhancing the systematicity of semic analysis of medical terminology in order to increase the quality of the creation of the set of atoms of meaning and improve the identification of concepts, as well as enhance specialized domain studies. Our approach is based on: (1) a semi-automatic domain-specific corpus-based extraction of semes, (2) the application of the property of termhood to

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Luppi, Rita. "Der lexikographische Prozess im DaF-Unterricht am Beispiel eines mehrsprachigen korpusbasierten Online-Fachwörterbuchs zum Thema COVID-19." Linguistik Online 126, no. 2 (2024): 37–61. http://dx.doi.org/10.13092/lo.126.11042.

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The present article provides a detailed overview of the lexicographical process adopted for the construction of a multilingual corpus-driven online specialised dictionary about COVID-19, which was built within the 4EU+ project Knowledge through Terminology – From Multilingual Data to Domain-specific Knowledge via Terminological Resources (TermiKnowledge). The dictionary is based on four specialised comparable corpora in five languages (Czech, English, German, Italian, Polish), that were compiled and analysed by the students, who also carried out the lexicographical work itself. The contributio

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Zhang, Qun, Shiyang Chen, and Wenhe Liu. "Balanced Knowledge Transfer in MTTL-ClinicalBERT: A Symmetrical Multi-Task Learning Framework for Clinical Text Classification." Symmetry 17, no. 6 (2025): 823. https://doi.org/10.3390/sym17060823.

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Clinical text classification presents significant challenges in healthcare informatics due to inherent asymmetries in domain-specific terminology, knowledge distribution across specialties, and imbalanced data availability. We introduce MTTL-ClinicalBERT, a symmetrical multi-task transfer learning framework that harmonizes knowledge sharing across diverse medical specialties while maintaining balanced performance. Our approach addresses the fundamental problem of symmetry in knowledge transfer through three innovative components: (1) an adaptive knowledge distillation mechanism that creates sy

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Miller, Russell, Harvey Whelan, Michael Chrubasik, David Whittaker, Paul Duncan, and João Gregório. "A Framework for Current and New Data Quality Dimensions: An Overview." Data 9, no. 12 (2024): 151. https://doi.org/10.3390/data9120151.

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This paper presents a comprehensive exploration of data quality terminology, revealing a significant lack of standardisation in the field. The goal of this work was to conduct a comparative analysis of data quality terminology across different domains and structure it into a hierarchical data model. We propose a novel approach for aggregating disparate data quality terms used to describe the multiple facets of data quality under common umbrella terms with a focus on the ISO 25012 standard. We introduce four additional data quality dimensions: governance, usefulness, quantity, and semantics. Th

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Ageicheva, Anna, and Yuliia Hunchenko. "Grammar Peculiarities of Scientific and Technical Translation in Construction Sphere." International Journal of Engineering & Technology 7, no. 3.2 (2018): 559. http://dx.doi.org/10.14419/ijet.v7i3.2.14589.

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Constant progress in the world construction sphere which includes innovation technologies implementation and intense business development can be observed during the recent years. All these result in the widening construction concept framework, leading to enrichment of English construction terminological system, which in turn causes huge linguists’ interest to terminology, as well as intensifies research in scientific and technical translation sphere.Construction terminology occupies a special place among other terminologies due to specificity of the human activity sphere it supplies. In the co

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Rodeghiero, Francesco, Marc Michel, Terry Gernsheimer, et al. "Standardization of bleeding assessment in immune thrombocytopenia: report from the International Working Group." Blood 121, no. 14 (2013): 2596–606. http://dx.doi.org/10.1182/blood-2012-07-442392.

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Abstract In a previous publication on new terminology, definitions, and outcome criteria for immune thrombocytopenia (ITP), the International Working Group (IWG) on ITP acknowledged that response to treatment should consist of clinically meaningful end points such as bleeding manifestations and that platelet count may not be the ideal parameter for capturing the benefits of therapy. The IWG now proposes a consensus-based ITP-specific bleeding assessment tool (ITP-BAT) with definitions and terminology consistent with those adopted for other bleeding disorders. Bleeding manifestations were group

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Ю., В. Бугаєвська. "ПРОФЕСІЙНА ЛЕКСИКА ЯК СКЛАДОВА ФАХОВОЇ МОВИ СТУДЕНТІВ ЕКОНОМІЧНИХ СПЕЦІАЛЬНОСТЕЙ". Лінгвістичні дослідження, № 45 (20 червня 2017): 179–83. https://doi.org/10.5281/zenodo.814510.

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<em>The article studies basic methods of forming special expressive vocabulary, sources of forming professional and slang words, functions defined by the sphere of professional vocabulary and types of social dialects as offshoots of the common language. Differences in the formation of the notions «social dialects», «slang», «jargon», «argo» are considered, the differentiation of terminologized and professional slang words is developed. The importance of the determinization process and influence of communication barriers on the process of forming professionalisms is emphasized. It is noted that

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Chardon, Anne Marie. "'Je Zuivelste Toren Van Babel'." TTW: De nieuwe generatie 39 (January 1, 1991): 93–100. http://dx.doi.org/10.1075/ttwia.39.09cha.

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In my master's thesis, which is discussed in this article, I investigated the terminology that is used in French and Dutch for specific dairy products. This resulted in a Dutch/French encyclopedic word list, specialized in the industrial fabrication of consumption milk and milk products. The word list was made on the basis of existing monolingual or bilingual dictionaries completed by data from Dutch or French specialized literature. In this article, a certain number of problems with regard to equivalence between source language and target language in this specific domain are discussed. Furthe

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Seppälä, Selja. "An ontological framework for modeling the contents of definitions." Terminology 21, no. 1 (2015): 23–50. http://dx.doi.org/10.1075/term.21.1.02sep.

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This paper addresses the troublesome question of feature selection and content prediction in definition writing. I present the basis of definition-authoring tools that can be used across a range of contexts, independently of the domain and language of the definitions. In addition to being domain- and language-independent, these tools should be easily tailorable to specific domains. Thus, my work seeks to contribute to developing generic definition-writing aids that can be tailored to a range of different contexts and domains. The objectives of this article are: (1) to show that it is possible

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Khidirova, Gulzoda, and Gavhar Tilovova. "Lexicographic foundations of agricultural terminology in German and Uzbek languages." E3S Web of Conferences 497 (2024): 03056. http://dx.doi.org/10.1051/e3sconf/202449703056.

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Each field develops within its own domain, and during this process, new concepts emerge within the field. The development of a field enriches its vocabulary, and these terms are included in dictionaries as field-specific terminology by linguists. The inclusion of field-specific terms in dictionaries, their entry into the sphere of usage, and their presentation in the dictionary are of significant importance. This is particularly relevant for comparative studies of field-specific terms and their translation processes. The classification of field-specific terms based on the extent of the field's

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Tran, Hanh Thi-Hong, Carlos-Emiliano González-Gallardo, Antoine Doucet, and Senja Pollak. "LlamATE." Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 31, no. 1 (2025): 5–36. https://doi.org/10.1075/term.00082.tra.

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Abstract Over the past decades, automatic term or terminology extraction (ATE), a natural language processing (NLP) task that aims to identify terms from specific domains by providing a list of candidate terms, has been challenging due to the strong influence of domain-specific differences on term definitions. Leveraging the advances of large-scale language models (LLMs), we propose LlamATE, a framework to verify the impact of domain specificity on ATE when using in-context learning prompts in open-sourced LLM-based chat models, namely Llama-2-Chat. We evaluate how well the LLM-based chat (e.g

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Oster, Ulrike. "From relational schemas to subject-specific semantic relations." Annual Review of Cognitive Linguistics 2 (December 31, 2004): 235–59. http://dx.doi.org/10.1075/arcl.2.08ost.

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Compounding is a major word-formation procedure in many languages, and even more so in specialised terminology. The classification of these compound words is a very complex issue due to the large number of semantic relations that can hold between the constituents of the compound. Typologies for different special languages differ considerably from each other and usually combine rather general with highly subject-specific relations. This paper presents a proposal for a two-step classification of these intraterm relations. First, a set of basic relational schemas is worked out, whose purpose is t

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