In 2026, NeTS organized a series of seminars to bridge the gap between language acquisition in linguistic theory and machine learning with R. Katzir and C. Yang, i.a.
NeTS team participated in BabyLM Challenge competitions since 2024. The goal was to train small language models (BabyLMs) using a limited word-budget, specific architectures, and morphologically-driven tokenization strategies. Some results: Chesi et al. (2024) Different Ways to Forget - Fusco et al. (2025) Linguistic Units as Tokens
In 2024 at NeTS we started working on the complicated relationship between categorical (grammatical) and gradual (acceptability) judgments. Some results of the T-GRA2L project
In 2013, a group of prominent generative linguists (R. Kayne, R. Frank, G. Longobardi, P. Svenonius, I. Roberts, A. Belletti, G. Cinque, A. M. Di Sciullo, D. Sportiche, L. Rizzi, M. Den Dikken, R. Manzini, N. Richards, D. Delfitto, H. van Riemsdijk, H. Haider) discussed @ NeTS core problems in linguistic theorizing.