Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/135074
Title: A discriminative lexicon approach to word comprehension, production, and processing : Maltese plurals
Authors: Nieder, Jessica
Chuang, Yu-Ying
van de Vijver, Ruben
Baayen, Harald
Keywords: Maltese language -- Morphology
Grammar, Comparative and general -- Number
Computational linguistics
Semitic languages -- Morphology
Maltese language -- Number
Machine learning
Lexicology
Issue Date: 2023
Publisher: Linguistic Society of America
Citation: Nieder, J., Chuang, Y. Y., van de Vijver, R., & Baayen, H. (2023). A discriminative lexicon approach to word comprehension, production, and processing: Maltese plurals. Language, 99(2), 242-274.
Abstract: Comprehending and producing words is a natural process for human speakers. In linguistic theory, investigating this process formally and computationally is often done by focusing on forms only. By moving beyond the world of forms, we show in this study that the discriminative lexicon (DL) model—operating with word comprehension as a mapping of form onto meaning, and word production as a mapping of meaning onto form—generates accurate predictions about what meanings listeners understand and what forms speakers produce. Furthermore, we show that measures derived from the computational model are predictive for human reaction times. Although mathematically very simple, the linear mappings between form and meaning posited by our model are powerful enough to capture the complexity and productivity of a Semitic language with a complex hybrid morphological system.
URI: https://www.um.edu.mt/library/oar/handle/123456789/135074
Appears in Collections:Scholarly Works - InsLin

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