| Title: | A sublexicon approach to the paradigm cell filling problem : lecture at the 5th American International Morphology Meeting, 29. 8. 2021, on-line |
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| Authors: | ID Tabachnick, Guy (Author) |
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| Files: |  https://www.ling.ohio-state.edu/AIMM5/pdf/AIMM5Schedule.pdf
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 3.15 - Unpublished Conference Contribution |
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| Organization: | UNG - University of Nova Gorica
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| Abstract: | How do learners figure out an inflected form of a word when they haven’t seen it before and a language allows for more than one option? In some cases, learners can make generalizations about a word’s phonological form (e.g. English verbs ending in [ɪŋ] like sting often have past tenses with [ʌŋ]). In others, as Ackerman et al. (2009) and Ackerman and Malouf (2013) show, knowing some of a word’s inflected forms often allows one to efficiently solve the Paradigm Cell Filling Problem—that is, predicting an additional form. They argue for a morphological model in which the paradigm is a fundamental unit of structure.
I propose a model for how learners may use some forms of a word to predict others outside a paradigm-based formal system. In particular, I extend the sublexicon model (Gouskova et al., 2015; Becker and Gouskova, 2016), used for capturing phonological generalizations, to include dependencies between morphophonological behaviors. This can account for Hungarian possessive allomorphy, in which a noun’s choice of possessive suffix can be substantially, but not entirely, predicted both by its phonological characteristics and its membership in a certain morphological class. |
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| Keywords: | lexically specified allomorphy, rules of exponence, Paradigm Cell Filling Problem, sublexicons, morphological learning |
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| Year of publishing: | 2001 |
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| PID: | 20.500.12556/RUNG-8916-b7db9515-359d-008e-2c7a-eceea04f2890  |
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| COBISS.SI-ID: | 187547907 |
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| UDC: | 81 |
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| NUK URN: | URN:SI:UNG:REP:JRWNVWJN |
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| Publication date in RUNG: | 04.03.2024 |
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| Views: | 1308 |
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| Downloads: | 4 |
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| Metadata: |    |
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