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It takes a village: The role of community size in linguistic regularization

Cognitive Psychology, 2019
Studies of artificial language learning provide insight into how learning biases and iterated learning may shape natural languages. Prior work has looked at how learners deal with unpredictable variation and how a language changes across multiple generations of learners.
Annemarie Kocab   +2 more
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&c.: On Linguistic Regularity, Normativity and Language Acquisition

2017
How do we know when learning has taken place? When is a teacher’s job done? One answer that may be drawn from Wittgenstein’s work is: when the pupil is able to go on alone. One temptation here is to say that a child has learned how to go on alone when she has grasped the regularity underlying the phenomena at hand—we know how to use a word in new ...
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Assessing compositionality and linguistic regularities in pretrained language representation models

2019
While in computer vision, models pretrained on ImageNet have long been used for transfer learning, in NLP, there have only recently been important breakthroughs in learning pretrained representation models beyond the level of words. The most well-known of these are the BERT and XLNet ones, which rely on a language modeling objective. Despite the strong
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REGULARIZATION OF LINGUISTIC VARIATION IN POPULATIONS

The Evolution of Language, 2012
KENNY SMITH   +2 more
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