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Maldonado, Mora; Saldana, Carmen; Culbertson, Jennifer (2020). Learning biases in person-number linearization. PsyArXiv Preprints o.Nr., University of Zurich.
The idea that universal representations of hierarchical structure constrain patterns of linear order is a central to many linguistic theories. In this paper we use Artificial Language Learning techniques to experimentally probe this claim. Specifically, we investigate how a hypothesized hierarchy of φ-features impacts the linearization of person and number affixes by (English-speaking) learners in the lab.
| Item Type: | Working Paper |
|---|---|
| Communities & Collections: | 06 Faculty of Arts > Department of Comparative Language Science |
| Dewey Decimal Classification: | 490 Other languages
890 Other literatures 410 Linguistics |
| Language: | English |
| Date: | 2020 |
| Deposited On: | 20 Jan 2021 09:28 |
| Last Modified: | 29 May 2024 12:13 |
| Series Name: | PsyArXiv Preprints |
| ISSN: | 0010-9452 |
| Additional Information: | The 50th Annual Meeting of the North East Linguistic Society |
| OA Status: | Green |
| Free access at: | Publisher DOI. An embargo period may apply. |
| Publisher DOI: | https://doi.org/10.31234/osf.io/5s2r8 |
| Related URLs: | https://www.linguisticsociety.org/content/50th-annual-meeting-north-east-linguistic-society |
Maldonado, Mora