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Conceptual structuring and terminogr...
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Montero Martinez, Silvia.
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Conceptual structuring and terminographic formalization of phrasemes in the subdomain of oncology (Spanish text).
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Conceptual structuring and terminographic formalization of phrasemes in the subdomain of oncology (Spanish text)./
作者:
Montero Martinez, Silvia.
面頁冊數:
610 p.
附註:
Source: Dissertation Abstracts International, Volume: 66-02, Section: A, page: 0573.
Contained By:
Dissertation Abstracts International66-02A.
標題:
Language, Linguistics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3163523
ISBN:
049697825X
Conceptual structuring and terminographic formalization of phrasemes in the subdomain of oncology (Spanish text).
Montero Martinez, Silvia.
Conceptual structuring and terminographic formalization of phrasemes in the subdomain of oncology (Spanish text).
- 610 p.
Source: Dissertation Abstracts International, Volume: 66-02, Section: A, page: 0573.
Thesis (Dr.)--Universidad de Valladolid (Spain), 2002.
The present work is structured in five chapters including a critical analysis of the most relevant literature. Chapter 1, Discursive Variation: The General-Specialized Dichotomy, deals with the traditional distinction between general and specialized language. We argue that the latter can be studied within the framework of Specialized Lexicography or Terminographic Lexicology. Consequently, Chapter 2, Specialized Lexicography or Terminographic Lexicology: The approach in ONCOTERM, elaborates on the increasing number of works applying general lexicographic principles to the specialized lexicon, and vice versa. This is the case of the Functional Lexematic Model, the theoretical and methodological framework for this doctoral thesis. Chapter 3, Phraseology in Lexicography and Terminography: Terminological Phrasemes , springs from the idea that phraseology is not an autonomous discipline but just a set of multiword lexical units. Before defining the nature of terminological phrasemes, the subject of our study, we discuss on the main approaches in traditional phraseological studies: the combinatorial and compositional perspectives. The fuzzy set of units identified by Russian lexicologists at the beginning of the 20th century has been classified around these two axis. Yet, a deep analysis of the existing taxonomies and the resulting lexicographic and terminographic management has proved that both approaches present many shortcomings. Mainly, these are due to the distributional nature underlying such frameworks. Thus, a new proposal for structuring and classifying phraseological units, specifically terminological phrasemes, is needed. Chapter 4, Knowledge Representation and Reusability in the Ontological Subdomain: ONTOTERM RTM, provides an overview of traditional data storage systems, i.e., data bases and some new proposals to overcome their deficiencies. In this respect, the research group ONCOTERM designed a concept-oriented tool for terminology management, ONTOTERMRTM. This knowledge-based terminological database allows for a simultaneous conceptual and lexical structuring process. Besides, it complies with requirements regarding knowledge exchange and reusability. Taking on the need to model a procedure to conceptually structure phraseological units in the application, we turn to Chapter 5, Terminological Phrasemes in the Ontological Subdomain: Acquisition, Structuring and Formalization , where we illustrate and validate our proposal based on data extracted from our corpus.
ISBN: 049697825XSubjects--Topical Terms:
1018079
Language, Linguistics.
Conceptual structuring and terminographic formalization of phrasemes in the subdomain of oncology (Spanish text).
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The present work is structured in five chapters including a critical analysis of the most relevant literature. Chapter 1, Discursive Variation: The General-Specialized Dichotomy, deals with the traditional distinction between general and specialized language. We argue that the latter can be studied within the framework of Specialized Lexicography or Terminographic Lexicology. Consequently, Chapter 2, Specialized Lexicography or Terminographic Lexicology: The approach in ONCOTERM, elaborates on the increasing number of works applying general lexicographic principles to the specialized lexicon, and vice versa. This is the case of the Functional Lexematic Model, the theoretical and methodological framework for this doctoral thesis. Chapter 3, Phraseology in Lexicography and Terminography: Terminological Phrasemes , springs from the idea that phraseology is not an autonomous discipline but just a set of multiword lexical units. Before defining the nature of terminological phrasemes, the subject of our study, we discuss on the main approaches in traditional phraseological studies: the combinatorial and compositional perspectives. The fuzzy set of units identified by Russian lexicologists at the beginning of the 20th century has been classified around these two axis. Yet, a deep analysis of the existing taxonomies and the resulting lexicographic and terminographic management has proved that both approaches present many shortcomings. Mainly, these are due to the distributional nature underlying such frameworks. Thus, a new proposal for structuring and classifying phraseological units, specifically terminological phrasemes, is needed. Chapter 4, Knowledge Representation and Reusability in the Ontological Subdomain: ONTOTERM RTM, provides an overview of traditional data storage systems, i.e., data bases and some new proposals to overcome their deficiencies. In this respect, the research group ONCOTERM designed a concept-oriented tool for terminology management, ONTOTERMRTM. This knowledge-based terminological database allows for a simultaneous conceptual and lexical structuring process. Besides, it complies with requirements regarding knowledge exchange and reusability. Taking on the need to model a procedure to conceptually structure phraseological units in the application, we turn to Chapter 5, Terminological Phrasemes in the Ontological Subdomain: Acquisition, Structuring and Formalization , where we illustrate and validate our proposal based on data extracted from our corpus.
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