Lan, Nur, Emmanuel Chemla, and Roni Katzir. 'Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length.' ACL 2024.
Lan, Nur, Emmanuel Chemla, and Roni Katzir. 'Large Language Models and the Argument From the Poverty of the Stimulus.' Linguistic Inquiry, 2024 (to appear).
Lan, Nur, Emmanuel Chemla, and Roni Katzir. 'Benchmarking Neural Network Generalization for Grammar Induction.' CLASP Conference on Learning with Small Data (LSD), 2023.
Lan, Nur, Michal Geyer, Emmanuel Chemla, and Roni Katzir. 'Minimum Description Length Recurrent Neural Networks.' Transactions of the Association for Computational Linguistics, 10:785–799, 2022.
Rasin, Ezer, Iddo Berger, Nur Lan, Itamar Shefi, and Roni Katzir. 'Approaching explanatory adequacy in phonology using Minimum Description Length.' Journal of Language Modelling 9.1, 2021.
Lan, Nur, Emmanuel Chemla, and Shane Steinert-Threlkeld. 'On the Spontaneous Emergence of Discrete and Compositional Signals.' ACL 2020.
Katzir, Roni, Nur Lan, and Noa Peled. 'A note on the representation and learning of quantificational determiners.' Sinn und Bedeutung 24, 2020.
Lan, Nur, Ezer Rasin, and Roni Katzir. 'Learning Morpho-phonology Using a Genetic Algorithm.' Ms., 2019.
Rasin, Ezer, Nur Lan, and Roni Katzir. 'Simultaneous learning of vowel harmony and segmentation.' Proceedings of the Society...