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Department of Linguistics
- University of Washington
- http://shane.st
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quantifier-rnn-learning
quantifier-rnn-learning PublicAccompanies the paper "Learnability and Semantic Universals" ; trains recurrent neural networks to learn to verify sentences with quantifiers in order to explain semantic universals
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CLMBRs/ultk
CLMBRs/ultk PublicA library for research in unnatural language semantics
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color-learning
color-learning PublicAccompanies the paper, "Ease of learning explains semantic universals". Generates and trains neural networks on artificial color systems, showing that _degree of convexity_ explains accuracy.
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responsive-verbs
responsive-verbs PublicAccompanies the paper, "An Explanation of the Veridical Uniformity Universal"; trains neural networks to learn so-called responsive verbs in order to explain a semantic universal.
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