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Found 11 papers, 5 papers with code
Evaluating Neural Language Models as Cognitive Models of Language Acquisition
The success of neural language models (LMs) on many technological tasks has brought about their potential relevance as scientific theories of language despite some clear differences between LM training and child language acquisition.
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.
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.
Modeling Morphological Typology for Unsupervised Learning of Language Morphology
This paper describes a language-independent model for fully unsupervised morphological analysis that exploits a universal framework leveraging morphological typology.
Interpretable inverse design of particle spectral emissivity using machine learning
We then use a combination of decision tree and random forest models to solve both the forward problem (particle design in, optical properties out) and inverse problem (desired optical properties in, range of particle designs out).
Optics
Modeling Hierarchical Syntactic Structures in Morphological Processing
Sentences are represented as hierarchical syntactic structures, which have been successfully modeled in sentence processing.
Unsupervised Morphology Learning with Statistical Paradigms
This paper describes an unsupervised model for morphological segmentation that exploits the notion of paradigms, which are sets of morphological categories (e. g., suffixes) that can be applied to a homogeneous set of words (e. g., nouns or verbs).
