Nava Maroto is an Associate Professor at the Department of Linguistics Applied to Science and Technology of the Universidad Politécnica de Madrid, where she teaches English for professional and academic communication at undergraduate level. She also teaches several postgraduate courses on computer tools applied to translation at Universidad de Alcalá and Universidad de Salamanca.

She graduated in Translation and Interpreting from the University of Salamanca and was granted a PhD in Translation by Universitat Jaume I (Castellón). She has also completed a Master’s Degree in Digital Libraries and Information Services at Universidad Carlos III.

Her research interests are terminology, neology and citizen science applied to linguistics, as well as the implementation of deep learning systems in the detection and representation of medical terminology. She collaborates with the NeoUSAL research group at Salamanca University and with the University of Southampton. Over the last years she has collaborated in the development of deep learning algorithms for information retrieval in the field of One Health.  She strives to bridge the gap between engineering and linguistics, and she firmly believes in the power of interdisciplinary cooperation to meet all kinds of challenges.

She is also Vice-Dean for Promotion and University Extension at the Technical School for Telecommunication Engineering of the Universidad Politécnica de Madrid and vice-president of the Spanish Association for Terminology (AETER), where she is taking part in the TERESIA project for the development of Spanish terminology.

ABSTRACT 

Artificial intelligence seems to have become ubiquitous: we use automatic translators, we ask all kinds of questions and requests to tools such as chatGPT, and we even congratulate our colleagues on their birthdays by generating images using AI. Terminology, as an area of applied linguistics linked to scientific and technological communication, is not alien to this trend.

In this seminar we will briefly discuss what is understood by terminology and its relationship to artificial intelligence. Examples will be provided of current projects that link these two areas. In particular, the focus will be set on the project TeresIA and the projects on One Health in which the speaker is involved.