arXiv:2105.02263
공식 코드 · Papers with Code
ADAM: A Sandbox for Implementing Language Learning
원문 초록
We present ADAM, a software system for designing and running child language learning experiments in Python. The system uses a virtual world to simulate a grounded language acquisition process in which the language learner utilizes cognitively plausible learning algorithms to form perceptual and linguistic representations of the observed world. The modular nature of ADAM makes it easy to design and test different language learning curricula as well as learning algorithms. In this report, we describe the architecture of the ADAM system in detail, and illustrate its components with examples. We provide our code.
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Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies
From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes
Generalizations across filler-gap dependencies in neural language models
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