Modelling and representation of data in digital lexicography

Students should be able to
- analyse scientific texts related to the topics, to formulate technical questions and to propose solutions to them, to elaborate solutions and make informed decisions

- work together with IT professionals on digital lexicography projects - improve communication skills by presenting the results of technical analyses to the other participants in an intelligible form.

- distinguish techniques and strategies for the analysis and development of lexicographic resources.

- describe programming languages for quantitative and qualitative data analysis and visualisation.

- Data modeling for lexicographical data: ERM; trees, tables, graphs

- Storing lexicographical data: database models and technologies

- XML technologies: standards and tools

- How online dictionaries work: basics of web technology; presentation in the browser

- Managing the e-lexicographical process: tools and applications

At the beginning of the course, the bibliography and the software that will be used will be provided.

Knowledge or contents: Con05, Con06, Con07

Skills or abilities: H/D01, H/D03, H/D05, H/D07

Competencies: Comp03, Comp04, Comp09

Block seminar (date and duration to be announced)

1. Opportunity:

The teacher chooses one of the following:

a) 90-minute final exam in class;
b) presentation in class plus a brief paper/home work (10 pages max.);
c) longer take-home paper /home work (15-20 pages)


2. Opportunity: The assessment on the second opportunity will be based on the same criteria.

For students who are offically exempt from attending the assessment system will be the same as for the rest.

Academic misconduct (cheating, plagiarism in exercises or tests) will be penalized according to the University regulations on student assessment (“Normativa de avaliación do rendemento académico dos estudantes e de revisión de cualificacións”).

Attendance: max. 35. With additional autonomous work time

Requirements for participation: Students muss obtain 25 ECTS in the first semester
Elective module in the second semester.
Language of teaching: English, German