Relevant bibliographies by topics / Domain specific terminology

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Academic literature on the topic 'Domain specific terminology'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Domain specific terminology"

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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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Dissertations / Theses on the topic "Domain specific terminology"

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Rubino, Raphaël. "Traduction automatique statistique et adaptation à un domaine spécialisé." Phd thesis, Université d'Avignon, 2011. http://tel.archives-ouvertes.fr/tel-00879945.

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Nous avons observé depuis plusieurs années l'émergence des approches statistiques pour la traduction automatique. Cependant, l'efficacité des modèles construits est soumise aux variabilités inhérentes au langage naturel. Des études ont montré la présence de vocabulaires spécifique et général composant les corpus de textes de domaines spécialisés. Cette particularité peut être prise en charge par des ressources terminologiques comme les lexiques bilingues.Toutefois, nous pensons que si le vocabulaire est différent entre des textes spécialisés ou génériques, le contenu sémantique et la structure
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Books on the topic "Domain specific terminology"

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Lanza, Claudia. Semantic Control for the Cybersecurity Domain: Investigation on the Representativeness of a Domain-Specific Terminology Referring to Lexical Variation. CRC Press LLC, 2022.

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Lanza, Claudia. Semantic Control for the Cybersecurity Domain: Investigation on the Representativeness of a Domain-Specific Terminology Referring to Lexical Variation. Taylor & Francis Group, 2022.

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Lanza, Claudia. Semantic Control for the Cybersecurity Domain: Investigation on the Representativeness of a Domain-Specific Terminology Referring to Lexical Variation. Taylor & Francis Group, 2022.

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Lanza, Claudia. Semantic Control for the Cybersecurity Domain: Investigation on the Representativeness of a Domain-Specific Terminology Referring to Lexical Variation. Taylor & Francis Group, 2022.

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Book chapters on the topic "Domain specific terminology"

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Temmerman, Rita, and Sancho Geentjens. "Ontological support for multilingual domain-specific translation dictionaries." In Terminology and Lexicography Research and Practice. John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/tlrp.13.10tem.

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Chien, Lee-Feng, and Chun-Liang Chen. "Incremental extraction of domain-specific terms from online text resources." In Recent Advances in Computational Terminology. John Benjamins Publishing Company, 2001. http://dx.doi.org/10.1075/nlp.2.05chi.

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Gromann, Dagmar, Lennart Wachowiak, Christian Lang, and Barbara Heinisch. "Extracting Terminological Concept Systems from Natural Language Text." In European Language Grid. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17258-8_18.

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AbstractTerminology denotes a language resource that structures domain-specific knowledge by means of conceptual grouping of terms and their interrelations. Such structured domain knowledge is vital to various specialised communication settings, from corporate language to crisis communication. However, manually curating a terminology is both labour- and time-intensive. Approaches to automatically extract terminology have focused on detecting domain-specific single- and multi-word terms without taking terminological relations into consideration, while knowledge extraction has specialised on nam
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Fruyt, Michèle. "Terminology in Antiquity." In Terminology and Lexicography Research and Practice. John Benjamins Publishing Company, 2025. https://doi.org/10.1075/tlrp.24.01fru.

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Abstract Latin offers a wide range of terminology types, from the most unambiguous, which are true nomenclatures (for institutions), to the most vague or approximate (for natural categories), with intermediate zones where different types cohabit in the same lexicon (as in Christian vocabulary). The degree of imprecision of the terminologies is related to the nature of the extralinguistic domain denoted and to its degree of remoteness from human beings, depending whether it is man-made or belongs to nature. The various types of terminologies documented in Latin are not specific to Latin; they a
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Lyu, Xiaotong, Denghao Ma, and Yueguo Chen. "Domain-specific Answer Sentence Selection with Terminology Augmentation and Cascade Attention." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-5569-1_6.

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Zhao, Xuan, Chong Feng, Shuanghong Huang, Jiangyu Wang, and Haojie Xu. "Incorporating Terminology Knowledge into Large Language Model for Domain-Specific Machine Translation." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2292-4_6.

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Butting, Arvid, and Andreas Wortmann. "Language Engineering for Heterogeneous Collaborative Embedded Systems." In Model-Based Engineering of Collaborative Embedded Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62136-0_11.

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AbstractAt the core of model-driven development (MDD) of collaborative embedded systems (CESs) are models that realize the different participating stakeholders’ views of the systems. For CESs, these views contain various models to represent requirements, logical functions, collaboration functions, and technical realizations. To enable automated processing, these models must conform to modeling languages. Domain-specific languages (DSLs) that leverage concepts and terminology established by the stakeholders are key to their success. The variety of domains in which CESs are applied has led to a
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Aragrande, Gaia. "Ad-hoc specialized corpora in translation teaching." In IVITRA Research in Linguistics and Literature. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/ivitra.43.11ara.

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This paper shows how building a specialised corpus of heritage tourism texts (Heritage Tourism Corpus — HT Corpus) represents the ideal trade-union between the need of developing lingua-cultural competence in a specialized language and training the ability of translating tourist texts from Italian to English especially when it comes to domain-specific terminology and cultural-specific items. The HT Corpus comprises texts from anglophone heritage tourism websites (approx. 1 mln words). It was built by professors at the University of Bologna as part of an MA course on English for Special Purpose
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Chiocchetti, Elena, Vesna Lušicky, and Tanja Wissik. "Multilingual legal terminology databases." In Handbook of Terminology. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/hot.3.mul1.

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This chapter focuses on multilingual legal terminology databases (MLTDBs) and their specific features. We address the aspects influencing the structure of MLTDBs, i.e., the number of legal systems, the different usage scenarios, and target users. We describe the steps within a typical workflow for creating MLTDBs, i.e., needs analysis, design, documentation, term extraction, compilation of terminological entries, revision and quality assurance, maintenance, and dissemination, highlighting differences with other domains. We list the roles involved in legal terminology work, considering not only
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Frank, David, Keyan Fang, and Patrick Fonti. "Dendrochronology: Fundamentals and Innovations." In Stable Isotopes in Tree Rings. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92698-4_2.

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AbstractThis chapter overviews long-standing foundations, methods, and concepts of dendrochronology, yet also pays attention to a few related paradigm shifts driven by isotope measurements in tree-rings. The basics of annual ring formation are first reviewed, followed by structural descriptions of tree-rings at the macroscopic-to-microscopic scale including earlywoodandlatewoodin conifers (gymnosperms) and hardwoods (angiosperms), as well as wood anatomical features. Numerous examples of inter-disciplinary applications connected to various tree-ring parameters are provided. With the foundation
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Conference papers on the topic "Domain specific terminology"

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Oncevay, Arturo, Charese Smiley, and Xiaomo Liu. "The Impact of Domain-Specific Terminology on Machine Translation for Finance in European Languages." In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.naacl-long.140.

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Qiang Zhan and Chunhong Wang. "A hybrid strategy for Chinese domain-specific terminology extraction." In 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. http://dx.doi.org/10.1109/ijcnn.2015.7280490.

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Zhan, Qiang, and Chunhong Wang. "A Hybrid Strategy for Chinese Domain-Specific Terminology Extraction." In 2015 11th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2015. http://dx.doi.org/10.1109/skg.2015.39.

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Liu, Li, and Quan Qi. "A combined method for automatic domain-specific Terminology extraction." In 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011). IEEE, 2011. http://dx.doi.org/10.1109/fskd.2011.6019798.

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Mincu, Eugenia, and Dorina Macovei. "Terminology and concept." In Conferința științifică națională cu participare internațională "Integrare prin cercetare și inovare" dedicată Zilei Internaționale a Științei pentru Pace și Dezvoltare. Moldova State University, 2025. https://doi.org/10.59295/spd2024u.18.

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The interaction between terminology, concept, and term is dynamic and interdependent. Terminology focuses on identifying and managing terms for the purpose of designating clearly defined concepts. This process includes analyzing and describing concepts to ensure a uniform understanding of the terms used. A term can designate multiple concepts depending on the context, a situation dictated by the specialized needs in domain-specific nomenclature, an essential part of forming a terminology specific to a field of human activity. When used in a specific field of activity, the object becomes specia
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Bajwa, Imran Sarwar, Imran Siddique, and M. Abbas Choudhary. "Automatic Domain Specific Terminology Extraction using a Decision Support System." In 2006 ITI 4th International Conference on Information & Communications Technology. IEEE, 2006. http://dx.doi.org/10.1109/itict.2006.358298.

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Chiu, I., and L. H. Shu. "Bridging Cross-Domain Terminology for Biomimetic Design." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84908.

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This work aims to improve creativity and innovation in design by facilitating the use of cross-domain analogies, particularly from biological phenomena, as stimulus for concept generation. Rather than create an enormous database of biological knowledge to specifically support engineering design, we have chosen to take advantage of the large amount of biological knowledge already in natural-language format, e.g., books, journals, etc. Relevant biological analogies for any given design problem are found by searching for instances of functional keywords that describe the intended effect of the de
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Amelina, Svitlana, Rostyslav Tarasenko, and Vasyl Shynkaruk. "Using Online Lexicons as Sources of Domain-specific Terminology in Translation." In International Conference on New Trends in Languages, Literature and Social Communications (ICNTLLSC 2021). Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210525.024.

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Lahbib, Wiem, Ibrahim Bounhas, and Yahya Slimani. "Arabic Terminology Extraction and Enrichment Based on Domain-Specific Text Mining." In 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2015. http://dx.doi.org/10.1109/ictai.2015.59.

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LUPAȘCU, Lilia. "Autonomous learning when learning foreign launguages." In Probleme ale lingvisticii și didacticii limbilor străine: tradiții și inovații. Ion Creangă Pedagogical State University, 2023. http://dx.doi.org/10.46727/c.03-05-2023.p67-71.

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Regardless of the type of education they are undergoing, every person is constanly 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 domains
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