Universität Wien

160116 PR Wissenschaftliches Praktikum aus Theoretischer Linguistik (2020W)

Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 40 Teilnehmer*innen
Sprache: Deutsch, Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Montag 05.10. 09:00 - 10:30 Seminarraum 2 Sensengasse 3a 1.OG
Montag 19.10. 09:00 - 10:30 Seminarraum 2 Sensengasse 3a 1.OG
Montag 16.11. 09:00 - 10:30 Seminarraum 2 Sensengasse 3a 1.OG
Montag 30.11. 09:00 - 10:30 Seminarraum 2 Sensengasse 3a 1.OG
Montag 14.12. 09:00 - 10:30 Seminarraum 2 Sensengasse 3a 1.OG
Montag 11.01. 09:00 - 10:30 Seminarraum 2 Sensengasse 3a 1.OG
Montag 25.01. 09:00 - 10:30 Seminarraum 2 Sensengasse 3a 1.OG

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The purpose of this course is to introduce and practice the application of distributional semantics and event semantics to the analysis of lexical meaning. The former approach models lexical meaning in terms of distributional properties of lexical items. The latter approach models lexical meaning in terms of aspectual classes that describe the event structures associated with the meaning of lexical items.

At the end of this course students will be able to:
- to explain how distributional properties contribute to lexical meaning;
- to model lexical meaning in terms of vector spaces and by means of computational tools;
- to explain how lexical meaning can be modelled in terms of vector spaces;
- to demonstrate how to analyse lexical meaning in terms of event structures;
- to explain the difference between telic and atelic predicates;
- to identify, extract and describe multi-word expressions and grammatical constructions by means of computational tools (R packages and Sketch Engine);

Art der Leistungskontrolle und erlaubte Hilfsmittel

Discussions, data analysis with computational tools, assignments and exercises.

Mindestanforderungen und Beurteilungsmaßstab

Students are required to attend classes regularly and to maintain an 85% attendance rate.
Basic computer skills (no specific advanced computational skills)
No previous knowledge of distributional and event semantics is required.

Prüfungsstoff

Literatur

Will be provided in the course.

Zuordnung im Vorlesungsverzeichnis

BA-APM10c

Letzte Änderung: Do 28.01.2021 11:08