Papers with entropy estimators

    1 papers
    Estimating the Entropy of Linguistic Distributions (2022.acl-short)

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    Challenge: Shannon entropy is a quantity of interest for linguists studying the communicative capacity of human language.
    Approach: They propose to use entropy estimators to estimate linguistic effects from observed data . they propose to recommend better entropic estimators for future linguistic studies .
    Outcome: The proposed estimators are over-estimated due to poor entropy estimators, the authors argue . they recommend the same estimators be used in future linguistic studies.

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