Evidence map›Paper›PMID 40610781›Full record

ArticleBehavior research methods2025

The UCI Phonotactic Calculator: An online tool for computing phonotactic metrics.

Connor Mayer, Arya Kondur, Megha Sundara

Abstract read
In one paragraph

Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Connor MayerUniversity of California Irvine, Irvine, CA, USA. cjmayer@uci.edu.ORCID http://orcid.org/0000-0003-2710-3475
Arya KondurUniversity of California Irvine, Irvine, CA, USA.
Megha SundaraUniversity of California Los Angeles, Los Angeles, CA, USA.

Funding

Division of Behavioral and Cognitive Sciences 2214017
6 · The paper itself

Abstract

This paper presents the UCI Phonotactic Calculator (UCIPC), a new online tool for quantifying the occurrence of segments and segment sequences in a corpus. This tool has several advantages compared to existing tools: it allows users to supply their own training data, meaning it can be applied to any language for which a corpus is available; it computes a wider range of metrics than most existing tools; and it provides an accessible point-and-click interface that allows researchers with more modest technical backgrounds to take advantage of phonotactic models. After describing the metrics implemented by the calculator and how to use it, we present the results of a proof-of-concept study comparing how well different types of metrics implemented by the UCIPC predict human responses from eight published nonce word acceptability judgment studies across four different languages. These results suggest that metrics that take into account the relative position of sounds and include word boundaries are better at predicting human responses than those that are based on the absolute position of sounds and do not include word boundaries. We close by discussing the usefulness of tools like the UCIPC in experimental design and analysis and outline several areas of future research that this tool will help support.

Indexed as

PhoneticsPsycholinguisticsSoftwareHumansLanguageAcceptability judgmentsLanguagePhonologyPhonotacticsSpeech

Identifiers

PMID40610781
PMCPMC12226677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.