Can Informativity Effects Be Predictability Effects in Disguise?

Recent work in corpus linguistics has observed that informativity predicts articulatory reduction of a linguistic unit above and beyond the unit’s predictability in the local context, i.e., the unit’s probability given the current context. Informativity of a unit is the inverse of average (log-scale...

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Main Author: Vsevolod Kapatsinski
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Entropy
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Online Access:https://www.mdpi.com/1099-4300/27/7/739
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author Vsevolod Kapatsinski
author_facet Vsevolod Kapatsinski
author_sort Vsevolod Kapatsinski
collection DOAJ
description Recent work in corpus linguistics has observed that informativity predicts articulatory reduction of a linguistic unit above and beyond the unit’s predictability in the local context, i.e., the unit’s probability given the current context. Informativity of a unit is the inverse of average (log-scaled) predictability and corresponds to its information content. Research in the field has interpreted effects of informativity as speakers being sensitive to the information content of a unit in deciding how much effort to put into pronouncing it or as accumulation of memories of pronunciation details in long-term memory representations. However, average predictability can improve the estimate of local predictability of a unit above and beyond the observed predictability in that context, especially when that context is rare. Therefore, informativity can contribute to explaining variance in a dependent variable like reduction above and beyond local predictability simply because informativity improves the (inherently noisy) estimate of local predictability. This paper shows how to estimate the proportion of an observed informativity effect that is likely to be artifactual, due entirely to informativity improving the estimates of predictability, via simulation. The proposed simulation approach can be used to investigate whether an effect of informativity is likely to be real, under the assumption that corpus probabilities are an unbiased estimate of probabilities driving reduction behavior, and how much of it is likely to be due to noise in predictability estimates, in any real dataset.
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spelling doaj-art-c5868e76f1e74c42b72e79f07f2a5b032025-07-25T13:22:22ZengMDPI AGEntropy1099-43002025-07-0127773910.3390/e27070739Can Informativity Effects Be Predictability Effects in Disguise?Vsevolod Kapatsinski0Department of Linguistics, University of Oregon, Eugene, OR 97403-1290, USARecent work in corpus linguistics has observed that informativity predicts articulatory reduction of a linguistic unit above and beyond the unit’s predictability in the local context, i.e., the unit’s probability given the current context. Informativity of a unit is the inverse of average (log-scaled) predictability and corresponds to its information content. Research in the field has interpreted effects of informativity as speakers being sensitive to the information content of a unit in deciding how much effort to put into pronouncing it or as accumulation of memories of pronunciation details in long-term memory representations. However, average predictability can improve the estimate of local predictability of a unit above and beyond the observed predictability in that context, especially when that context is rare. Therefore, informativity can contribute to explaining variance in a dependent variable like reduction above and beyond local predictability simply because informativity improves the (inherently noisy) estimate of local predictability. This paper shows how to estimate the proportion of an observed informativity effect that is likely to be artifactual, due entirely to informativity improving the estimates of predictability, via simulation. The proposed simulation approach can be used to investigate whether an effect of informativity is likely to be real, under the assumption that corpus probabilities are an unbiased estimate of probabilities driving reduction behavior, and how much of it is likely to be due to noise in predictability estimates, in any real dataset.https://www.mdpi.com/1099-4300/27/7/739informativitypredictabilityreductionsound changephoneticsusage-based linguistics
spellingShingle Vsevolod Kapatsinski
Can Informativity Effects Be Predictability Effects in Disguise?
Entropy
informativity
predictability
reduction
sound change
phonetics
usage-based linguistics
title Can Informativity Effects Be Predictability Effects in Disguise?
title_full Can Informativity Effects Be Predictability Effects in Disguise?
title_fullStr Can Informativity Effects Be Predictability Effects in Disguise?
title_full_unstemmed Can Informativity Effects Be Predictability Effects in Disguise?
title_short Can Informativity Effects Be Predictability Effects in Disguise?
title_sort can informativity effects be predictability effects in disguise
topic informativity
predictability
reduction
sound change
phonetics
usage-based linguistics
url https://www.mdpi.com/1099-4300/27/7/739
work_keys_str_mv AT vsevolodkapatsinski caninformativityeffectsbepredictabilityeffectsindisguise