Category Clustering and Morphological Learning

2Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

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.

References Powered by Scopus

brms: An R package for Bayesian multilevel models using Stan

5765Citations
N/AReaders
Get full text

Advanced Bayesian multilevel modeling with the R package brms

1698Citations
N/AReaders
Get full text

Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants

1379Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Language follows a distinct mode of extra-genomic evolution

8Citations
N/AReaders
Get full text

Naturalness is gradient in morphological paradigms: Evidence from positional splits

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Mansfield, J., Saldana, C., Hurst, P., Nordlinger, R., Stoll, S., Bickel, B., & Perfors, A. (2022). Category Clustering and Morphological Learning. Cognitive Science, 46(2). https://doi.org/10.1111/cogs.13107

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

60%

Researcher 2

40%

Readers' Discipline

Tooltip

Linguistics 4

80%

Agricultural and Biological Sciences 1

20%

Save time finding and organizing research with Mendeley

Sign up for free