Cognitive Modeling

Seminar: Language Learnability: Theoretical and Computational Perspectives

The complexity of human language and the apparent limits of the human cognitive system gave rise to the assumption that children must be born with the knowledge of core language principles to make language acquisition feasible. In this seminar, we will discuss how the ideas about Universal Grammar changed in theoretical linguistics, and how computational linguistics challenged the `poverty of the stimulus’ argument. We will explore a number of computational models that `acquire’ different aspects of language with limited input. We will further turn to modern transformer and related artificial neural network architectures and discuss the extent of their linguistic skills. This approach will help us address language learnability as a computational challenge.

Dozent Prof. Dr. Martin Butz & Asya Achimova

Mi. 8:15 - 9:45

Umfang 3 LP
Beginn 19.10.2022
Ort Übungsraum 10 (Alte Archäologie)

Please register for this seminar via alma until October 9th latest.

Note that the number of avalaible spots is limited to 20. Some days after the registration deadline, you will see in alma whether you have been admitted.