Evidence map›Paper›PMID 35166378›Full record

ArticleCognitive science2022

Category Clustering and Morphological Learning.

John Mansfield, Carmen Saldana, Peter Hurst, Rachel Nordlinger, Sabine Stoll, Balthasar Bickel, Andrew Perfors

Abstract read
In one paragraph

Article in Cognitive science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

John MansfieldSchool of Languages and Linguistics, University of Melbourne.
Carmen SaldanaDepartment of Comparative Language Science, University of Zurich.
Peter HurstSchool of Languages and Linguistics, University of Melbourne.
Rachel NordlingerSchool of Languages and Linguistics, University of Melbourne.
Sabine StollDepartment of Comparative Language Science, University of Zurich.
Balthasar BickelDepartment of Comparative Language Science, University of Zurich.
Andrew PerforsSchool of Psychological Sciences, University of Melbourne.

Funding

The University of Melbourne CAUL 2022
6 · The paper itself

Abstract

Inflectional affixes expressing the same grammatical category (e.g., subject agreement) tend to appear in the same morphological position in the word. We hypothesize that this cross-linguistic tendency toward category clustering is at least partly the result of a learning bias, which facilitates the transmission of morphology from one generation to the next if each inflectional category has a consistent morphological position. We test this in an online artificial language experiment, teaching adult English speakers a miniature language consisting of noun stems representing shapes and suffixes representing the color and number features of each shape. In one experimental condition, each suffix category has a fixed position, with color in the first position and number in the second position. In a second condition, each specific combination of suffixes has a fixed order, but some combinations have color in the first position, and some have number in the first position. In a third condition, suffixes are randomly ordered on each presentation. While the language in the first condition is consistent with the category clustering principle, those in the other conditions are not. Our results indicate that category clustering of inflectional affixes facilitates morphological learning, at least in adult English speakers. Moreover, we found that languages that violate category clustering but still follow fixed affix ordering patterns are more learnable than languages with random ordering. Altogether, our results provide evidence for individual biases toward category clustering; we suggest that this bias may play a causal role in shaping the typological regularities in affix order we find in natural language.

Indexed as

LearningLinguisticsAdultCluster AnalysisHumansLanguageLanguage DevelopmentArtificial language learningCategory learningLearning biasesMorphology

Identifiers

PMID35166378
PMCPMC9285891

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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.