August 1, 2025

Morphemes in the wild: Modelling affix learning from the noisy landscape of natural text

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Authors

MKMaria KorochkinaRoyal Holloway University of London MMMarco MarelliHong Kong Polytechnic University KRKathleen RastleRoyal Holloway University of London

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Implication

This analysis demonstrates how vocabulary growth and affix learning occurs in natural text, suggesting nuanced patterns in morphologically-rich environments.

Key Points

MAIN FINDING: Natural text provides enough structure to learn core affix semantics despite noise.
KEY EVIDENCE: A computational model analyzes vocabulary from 1,200 children's books and compares results with data from 120 adults.
APPROACH: The study employs a compositional distributional semantic model to investigate morpheme learning.
SIGNIFICANCE: This research enhances our understanding of morphologically relevant learning in language processing.

Cite This Study

Korochkina et al. (2025) studied this question.

synapsesocial.com/papers/689a0c6be6551bb0af8cfdf2 https://doi.org/10.31234/osf.io/yzcqm_v1

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Implication

This analysis demonstrates how vocabulary growth and affix learning occurs in natural text, suggesting nuanced patterns in morphologically-rich environments.

Morphemes in the wild: Modelling affix learning from the noisy landscape of natural text

Discussion

Member takes

Implication

Key Points

Cite This Study

Morphemes in the wild: Modelling affix learning from the noisy landscape of natural text

Discussion

Member takes

Implication

Key Points

Cite This Study

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