Modeling Morphological Learning: Tolerance Principle on Turkish past tense-DI
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A3PFEDTB3" target="_blank" >RIV/00216208:11320/25:3PFEDTB3 - isvavai.cz</a>
Result on the web
<a href="http://scol.bogazici.edu.tr/abstracts/2024/sahyar_24.pdf" target="_blank" >http://scol.bogazici.edu.tr/abstracts/2024/sahyar_24.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Modeling Morphological Learning: Tolerance Principle on Turkish past tense-DI
Original language description
This paper tests Belth et al.’s learning model Abduction of Tolerable Productivity (2021) on the Turkish past tense suffix -DI. The model is a greedy search algorithm that recursively generates a decision tree based on Yang’s Tolerance Principle (2016), a proposed predictor of linguistic productivity based on the number of words within the scope of a rule and exceptions to it. Belth et al. note that as the principle is based on the number of exceptions to the proposed rule, it allows for productive rules with limited vocabularies and therefore presents a good model of early acquisition (2021).
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů