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Found 5 papers, 4 papers with code
The Greedy and Recursive Search for Morphological Productivity
As children acquire the knowledge of their language's morphology, they invariably discover the productive processes that can generalize to new words.
Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning
We evaluate the Transformer as a model of morphological rule learning and compare it with Recurrent Neural Networks (RNN) on English, German, and Russian.
A Grounded Approach to Modeling Generic Knowledge Acquisition
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).
ADAM: A Sandbox for Implementing Language Learning
We present ADAM, a software system for designing and running child language learning experiments in Python.
