Digital Semantics and Pragmatics
The study course is primarily aimed at developing high proficiency level competences and skills of the students mastering study programmes in different fields of humanities, social sciences, communication and human behavior sciences, interdisciplinary STEM+, and information technology. The study course is intended to provide a comprehensive overview of the fundamental issues associated with the retrieval, collection, organization, and processing of semantic and pragmatic data. The students will get acquainted with the state-of-the-art in the area of natural language processing (NLP) and natural language generation (NLG).
Upon completion of the study course, you will be able to:
- actively participate in the work of various NLP technology development teams,
- conduct research in the field of digital semantics and pragmatics and solve a range of knowledge management tasks,
- co-create and/or create solutions to complex problems with limited definition that are related to modifying, refining, improving and integrating new content and information into the existing knowledge of digital semantics and pragmatics to create new and original ideas.
Kurss Content
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Par Pasniedzēju
Tatjana Smirnova
Tatjana Smirnova is an associate professor at the Institute of Applied Linguistics, Faculty of E-Learning Technologies and Humanities at Riga Technical University (RTU). Her research interests cover linguistic iconicity, cross-disciplinary semiotics and axiological aspects of language use. She has authored and co-authored more than 40 publications on linguistic iconicity, functional approach to LSP translation, and aspects of LSP teaching. Tatjana Smirnova has extensive experience in LSP text translation and editing in such fields as civil engineering, architecture, and entrepreneurship, as well as institutional, administrative, and legal communication.
3 Kursi
Preview this Kurss
Neesi reģistrējies kursā
Bezmaksas
Kurss Includes
- 11 Nodarbības
- 30 Topics
- 26 Testi
Visi kursi
Dabas ūdens apstrāde
Artifficial Intelligence Driven Process Control Systems
Skaitliskās metodes
Procesu automatizācija un modelēšana
Paralēlā programmēšana transporta sistēmās
Software Automation in Healthcare
Mašīnu elementu parametriskā modelēšana (SOLIDWORKS ievadkurss dizaineriem)
Business Analytics
Vibrotechnology and Vibromachines
Elektroinženieru matemātikas datorrealizācija
Teorētiskā mehānika (mašīnzinībās)
Siltuma elektrostacijas
Inženieraprēķinu programmatūras mašīnbūvē (CAE)
Būvmehānika
Ķīmiskie reaktori un reakciju inženierija
Monte Carlo Methods in Finance Engineering
Fundamentals of Computer Simulation and Modelling
Starptautisko pārvadājumu vadīšana
Maritime Cybersecurity Management course
AI Implementation in Industry
Innovation Ecosystems Development and Management
Healthcare Data Processing and Management
Basics of Control Theory (Regulēšanas teorijas pamati)
Paralēlā programmēšana datorgrafikā un attēlu apstrādē
Paralēlā programmēšana transporta sistēmās
Public eServices
Informācijas sistēmu pārvaldība
Design of Adaptive Systems
Business Process Development and Management
Innovation Ecosystems: A Three-Part Learning Journey
Ekonomisko procesu prognozēšana
Robotics and Process Automation
Career Lab: Plan, Practice, Succeed
Data Spaces
Production Digitalization – Short Course Series
Practical Applications and Programming of Industrial Robots
Machine Translation Skillset
Machine Learning for Textual Data Processing
Digital Edutainment Elements in Translation
Digital Sentiment Analysis
Multimodal Digital Semiotics
Digital Semantics and Pragmatics
Grafiskais dizains "Canva pro" dizaina programmā
Arhitektūras projektēšana
Biznesa etiķete un komunikācija
Introduction to Linguistics
Artificial Intelligence: Search and Its Applications
Telecommunications and Computer Networks
Kursa pārskats
Autorizācija
Lai piekļūtu šim kurss, nepieciešams pierakstīties Lūdzu, autorizēties!