Dr. Roni Katzir
Research work
The Tel Aviv University Computational Linguistics Lab uses computational methods to investigate human language acquisition.
Researchers in the lab seek to offer a perspective on learning and learnability that is informed by work in theoretical linguistics, psychology, and computer science and to support collaboration between these fields in addressing a shared research question: what can be learned?
The lab's overarching research project is the creation of a fully general model of language acquisition that will allow divergent representations of grammar proposed in the linguistic literature to be evaluated and compared on a computationally and cognitively sound basis.
Areas of interest & scientific knowledge
Cognitive Neuroscience
Computational & Theoretical Neuroscience
Specialization
LinguisticsSelected Publications
- Ezer Rasin and Roni Katzir (2020). A conditional learnability argument for constraints on underlying representations. Journal of Linguistics. doi:10.1017/S0022226720000146
- Roni Katzir, Nur Lan, and Noa Peled (2020). A note on the representation and learning of quantificational determiners. To appear in Proceedings of Sinn und Bedeutung 24.
- Ezer Rasin and Roni Katzir (2016). On evaluation metrics in Optimality Theory. Linguistic Inquiry, 47(2):235–282.
- Roni Katzir (2014). On the roles of markedness and contradiction in the use of alternatives. In Pistoia Reda, S., editor, Semantics, Pragmatics, and the Case of Scalar Implicatures, pages 40–71. Palgrave-Macmillan.
- Roni Katzir (2014). A cognitively plausible model for grammar induction. Journal of Language Modelling, 2(2):213–248.
