no code implementations • 20 Oct 2023 • Jordan Kodner, Salam Khalifa, Sarah Payne
Modern work on the cross-linguistic computational modeling of morphological inflection has typically employed language-independent data splitting algorithms.
no code implementations • 6 Aug 2023 • Jordan Kodner, Sarah Payne, Jeffrey Heinz
We present a critical assessment of Piantadosi's (2023) claim that "Modern language models refute Chomsky's approach to language," focusing on four main points.
1 code implementation • 25 May 2023 • Jordan Kodner, Sarah Payne, Salam Khalifa, Zoey Liu
Morphological inflection is a popular task in sub-word NLP with both practical and cognitive applications.
2 code implementations • 12 May 2021 • Caleb Belth, Sarah Payne, Deniz Beser, Jordan Kodner, Charles Yang
As children acquire the knowledge of their language's morphology, they invariably discover the productive processes that can generalize to new words.
1 code implementation • 7 May 2021 • Deniz Beser, Joe Cecil, Marjorie Freedman, Jacob Lichtefeld, Mitch Marcus, Sarah Payne, Charles Yang
We introduce and implement a cognitively plausible model for learning from generic language, statements that express generalizations about members of a category and are an important aspect of concept development in language acquisition (Carlson & Pelletier, 1995; Gelman, 2009).
1 code implementation • 5 May 2021 • Ryan Gabbard, Deniz Beser, Jacob Lichtefeld, Joe Cecil, Mitch Marcus, Sarah Payne, Charles Yang, Marjorie Freedman
We present ADAM, a software system for designing and running child language learning experiments in Python.