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coverage bias

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6 - The Influence of Domain and Distribution Considerations on Corpus Representativeness
Jesse Egbert, Northern Arizona University, Douglas Biber, Northern Arizona University, Bethany Gray, Iowa State University
Book:

Designing and Evaluating Language Corpora

Published online:

07 April 2022

Print publication:

14 April 2022, pp 156-176
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Summary

We emphasize that the ability for a corpus to provide accurate estimates of a linguistic parameter depends on the combined influence of domain considerations (coverage bias and selection bias) and distribution considerations (corpus size). By using a series of experimental corpora on the domain of Wikipedia articles, we can demonstrate the impact of corpus size, coverage bias, selection bias, and stratification on representativeness. Empirical results show that robust sampling methods and large sample sizes can only give you a better representation of the operational domain (i.e. overcome selection bias). However, by themselves, these factors cannot help you achieve accurate quantitative-linguistic analyses for the actual domain (i.e. overcome coverage bias) Uncontrolled domain considerations can lead to unpredictable results with respect to accuracy.