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Published on: June 29, 2021
Interaction of phonological biases and frequency in learning a probabilistic language pattern
1Department of Linguistics, University College London, Chandler House, 2 Wakefield Street, London WC1N 1PF, United Kingdom.
Adults avoid learning phonological rules when they create homophones or are less frequent. A paradigm uniformity bias influences prefix choice, favoring consistency in artificial language learning.
Area of Science:
- Psycholinguistics
- Phonology
- Morphology
Background:
- Learning artificial languages reveals cognitive biases in language acquisition.
- Phonological rules and morphological markers interact during language learning.
- Homophony and frequency influence the learnability of linguistic patterns.
Purpose of the Study:
- To investigate the interplay between phonological rule learning, morphological acquisition, and lexical factors.
- To examine how frequency and homophony affect the learning and use of phonological rules in an artificial language.
- To understand the role of paradigm uniformity bias in shaping linguistic choices.
Main Methods:
- Adult participants learned an artificial language with noun pluralization using two prefixes (ba- or ni-).
- One prefix (ni-) triggered a velar palatalization rule, with conditions manipulating rule-induced homophony and prefix frequency.
- Behavioral data analyzed to assess rule learning, prefix choice, and potential biases.
Main Results:
- Participants avoided the rule-triggering prefix (ni-) when it was less frequent, suggesting a paradigm uniformity bias.
- Homophony created by the rule impaired rule learning but did not influence prefix choice.
- The ability to extract phonological generalizations was hindered by homophony avoidance.
Conclusions:
- Paradigm uniformity bias can lead learners to avoid phonological alternations, especially when they are less frequent.
- Homophony avoidance interferes with the extraction of phonological rules, impacting learnability.
- The interaction between phonology, morphology, and lexical factors shapes the acquisition of artificial languages.
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