Daoxin Li and Katie Schuler’s paper “Acquiring recursive structures through distributional learning” has been selected by the Language Acquisition editorial team as the 2023 best original research article by an untenured scientist!
The paper uses an artificial language learning paradigm to show that learners can use distributional information in the input to determine whether a structure allows recursive embedding, and you can read it here: https://www.tandfonline.com/.../10.../10489223.2023.2185522
Any paper whose first author is an untenured scientist (student or faculty) is eligible for the prize. The decision was made by Language Acquisition Editorial Team and announced at the 48th Boston University Conference on Language Development.