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Title: Input and Intake in Language Acquisition
Authors: Gagliardi, Ann C.
Advisors: Lidz, Jeffrey
Department/Program: Linguistics
Type: Dissertation
Sponsors: Digital Repository at the University of Maryland
University of Maryland (College Park, Md.)
Subjects: Linguistics
Keywords: Computational Psycholinguistics
Crosslinguistic Psycholinguistics
Filler-gap Dependencies
Language Acquisition
Noun Classes
Statistical Learning
Issue Date: 2012
Abstract: This dissertation presents an approach for a productive way forward in the study of language acquisition, sealing the rift between claims of an innate linguistic hypothesis space and powerful domain general statistical inference. This approach breaks language acquisition into its component parts, distinguishing the input in the environment from the intake encoded by the learner, and looking at how a statistical inference mechanism, coupled with a well defined linguistic hypothesis space could lead a learn to infer the native grammar of their native language. This work draws on experimental work, corpus analyses and computational models of Tsez, Norwegian and English children acquiring word meanings, word classes and syntax to highlight the need for an appropriate encoding of the linguistic input in order to solve any given problem in language acquisition.
Appears in Collections:Linguistics Theses and Dissertations
UMD Theses and Dissertations

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