Margarida Ramos
Margarida Ramos holds a PhD degree in Linguistics: Lexicology, Lexicography and Terminology, from the University NOVA de Lisboa. She is an integrated member at the Linguistics Centre of the University NOVA de Lisboa (CLUNL) since December 2020.
In 2015, she was awarded a Doctoral Scholarship supported by FCT - Foundation for Science and Technology of the Ministry of Science, Technology and Higher Education of Portugal within the PhD program in Linguistics: KRUse - Knowledge, Representation & Use, Faculty of Social Sciences and Humanities, University NOVA of Lisbon.
She was a researcher PhD student at the Linguistics Centre of the Universidade NOVA de Lisboa (CLUNL) from 2015-2020, and an associate researcher at the Condillac Team of the Computer Science, Systems, Information and Knowledge Processing Laboratory (LISTIC) of the University of Savoie Mont-Blanc from 2016-2020.
Her research is mainly focused on the terminological analysis of specialised corpora resorting to semi-automatic tools for text analysis, in order to systematise lexical-semantic relationships observed in specialised discourse context and subsequent modelling of the underlying conceptual system.
Supervisors: Prof. Dr. Rute Costa - NOVA CLUNL and Prof. Dr. Christophe Roche - LISTIC USMB
Address: Lisboa, Portugal
In 2015, she was awarded a Doctoral Scholarship supported by FCT - Foundation for Science and Technology of the Ministry of Science, Technology and Higher Education of Portugal within the PhD program in Linguistics: KRUse - Knowledge, Representation & Use, Faculty of Social Sciences and Humanities, University NOVA of Lisbon.
She was a researcher PhD student at the Linguistics Centre of the Universidade NOVA de Lisboa (CLUNL) from 2015-2020, and an associate researcher at the Condillac Team of the Computer Science, Systems, Information and Knowledge Processing Laboratory (LISTIC) of the University of Savoie Mont-Blanc from 2016-2020.
Her research is mainly focused on the terminological analysis of specialised corpora resorting to semi-automatic tools for text analysis, in order to systematise lexical-semantic relationships observed in specialised discourse context and subsequent modelling of the underlying conceptual system.
Supervisors: Prof. Dr. Rute Costa - NOVA CLUNL and Prof. Dr. Christophe Roche - LISTIC USMB
Address: Lisboa, Portugal
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To better illustrate our purposes, we intend to describe the methodology used in Alimentopia – Utopian Foodways , a project in the scope of nutritional sciences that aims to create a nutritional database for non-experts. We will focus on the methodology employed in that project to write popularized definitions, which we called “descriptive definitions”. By “descriptive definition” we mean a text that stems from a popularization process that starts with the analysis of scientific definitions or defining contexts, which anchor concept and term so as to be understood by a non-expert audience.
Starting with a nutritional corpus built within the scope of the multidisciplinary project Alimentopia – Utopian Foodways, we used Sketch Engine to identify the contexts where we can find the lexical and semantical elements that allow us to recognize the characteristics of the concepts we want to define. Based on linguistic information, validated by experts, we propose descriptive definitions aimed at popularizing knowledge. With this methodological result, we intend to highlight the importance of the accuracy and correctness of natural language definitions to ensure that communication is adapted to a non-expert audience.
To better illustrate our purposes, we intend to describe the methodology used in Alimentopia – Utopian Foodways , a project in the scope of nutritional sciences that aims to create a nutritional database for non-experts. We will focus on the methodology employed in that project to write popularized definitions, which we called “descriptive definitions”. By “descriptive definition” we mean a text that stems from a popularization process that starts with the analysis of scientific definitions or defining contexts, which anchor concept and term so as to be understood by a non-expert audience.
Starting with a nutritional corpus built within the scope of the multidisciplinary project Alimentopia – Utopian Foodways, we used Sketch Engine to identify the contexts where we can find the lexical and semantical elements that allow us to recognize the characteristics of the concepts we want to define. Based on linguistic information, validated by experts, we propose descriptive definitions aimed at popularizing knowledge. With this methodological result, we intend to highlight the importance of the accuracy and correctness of natural language definitions to ensure that communication is adapted to a non-expert audience.