Search Results for author: Sarah Payne

Found 7 papers, 4 papers with code

Exploring Linguistic Probes for Morphological Generalization

no code implementations20 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.

Morphological Inflection

Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)

no code implementations6 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.

Morphological Inflection: A Reality Check

1 code implementation25 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.

Morphological Inflection

The Greedy and Recursive Search for Morphological Productivity

2 code implementations12 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.

A Grounded Approach to Modeling Generic Knowledge Acquisition

1 code implementation7 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).

Language Acquisition

ADAM: A Sandbox for Implementing Language Learning

1 code implementation5 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.

Language Acquisition

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