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Cursus: TLRMV19109
TLRMV19109
Cognitive and computational aspects of word meaning
Cursus informatieRooster
CursuscodeTLRMV19109
Studiepunten (ECTS)5
Categorie / NiveauM (Master)
CursustypeCursorisch onderwijs
VoertaalEngels
Aangeboden doorFaculteit Geesteswetenschappen; Utrecht Graduate School of Humanities; Domein Talen, Literatuur en Communicatie RMA;
ContactpersoonD. Paperno
E-mailD.Paperno@uu.nl
Docenten
Docent
D. Paperno
Overige cursussen docent
Contactpersoon van de cursus
D. Paperno
Overige cursussen docent
Blok
4  (25-04-2022 t/m 01-07-2022)
Aanvangsblok
4
TimeslotC: C (MA-mid/namiddag,DI-middag, DO-ocht)
Onderwijsvorm
Voltijd
OpmerkingCourse with priority rules. Register before 12 noon on November 15, 2021!
Cursusinschrijving geopendvanaf 01-11-2021 t/m 28-11-2021
AanmeldingsprocedureOsiris
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersJa
VoorinschrijvingNee
Na-inschrijvingJa
WachtlijstNee
Plaatsingsprocedure(Sub)school
Cursusdoelen
After the course, the student will be able to: critically study literature on computational and experimental semantics, connect semantic models to different types of empirical phenomena, formulate testable empirical questions (either experimental or computational), conduct a small empirical study, and analyze the results.     
Inhoud
Natural language semantics relies on various empirical methods, involving experimental data, machine learning, corpus analysis and linguistic questionnaires. The course presents topics where developing formal and computational semantic models heavily depends on empirical work in lexical and conceptual semantics, common sense reasoning, and computational semantics. Students choose a research problem and study selected articles on that problem. Based on this study, students formulate an empirical hypothesis and test it in the end project.
 
Aanvullende informatie
Priority rules apply to this course. Make sure you register for this course before 15 November 12.00 (noon) 2021 to be considered for enrolment.

Career orientation:
Experimental and computational research; language technology.

 
Competenties
-
Ingangseisen
Je moet voldoen aan de volgende eisen
  • Ingeschreven voor één van de volgende opleidingen
    • Artificial Intelligence
    • Cognitive Artificial Intelligence
    • Linguistics
Voorkennis
This course assumes knowledge of the material covered in the course Foundations of Meaning or KI-Semantics, Experimental Design & Data Analysis or KI/TLW-Experimental Psycholinguistics (or another course on experimental methods in Psychology/Psycholinguistics), and Digital Methods in Linguistics or KI-Modelleren & Programmeren.
Verplicht materiaal
Literatuur
Will be distributed on Blackboard
Werkvormen
Hoor/werkcollege

Algemeen
Natural language semantics relies on various empirical methods, involving experimental data, machine learning, corpus analysis and linguistic questionnaires. The course presents topics where developing formal and computational semantic models heavily depends on empirical work in lexical and conceptual semantics, common sense reasoning, and computational semantics. Students choose a research problem and study selected articles on that problem. Based on this study, students formulate an empirical hypothesis and test it in the end project.

Voorbereiding bijeenkomsten
Read background material; short presentations on key articles; prepare presentation of research question, hypothesis, procedure and results.

Bijdrage aan groepswerk
Most projects will be carried out in duos.

Toetsen
Referaat
Weging40
Minimum cijfer-

Verslag
Weging60
Minimum cijfer-

Beoordeling
After the course, the student will be able to: critically study literature on computational and experimental semantics, connect semantic models to different types of empirical phenomena, formulate testable empirical questions (either experimental or computational), conduct a small empirical study, and analyze the results.

Deadlines
The evaluation will be based on presentations and the end report about the course project.

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