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Samer A. Nour Eddine – ProQuest LLC, 2024
In this thesis, I use a combination of simulations and empirical data to demonstrate that a small set of structural and functional principles - the basic tenets of predictive coding theory - succinctly accounts for a very wide range of properties in the language processing system. Predictive coding approximates hierarchical Bayesian inference via…
Descriptors: Semantics, Simulation, Psycholinguistics, Bayesian Statistics
Logacev, Pavel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
A number of studies have found evidence for the so-called "ambiguity advantage," that is, faster processing of ambiguous sentences compared with unambiguous counterparts. While a number of proposals regarding the mechanism underlying this phenomenon have been made, the empirical evidence so far is far from unequivocal. It is compatible…
Descriptors: Phrase Structure, Accuracy, Ambiguity (Semantics), Sentences
Hartshorne, Joshua K. – First Language, 2020
Ambridge argues that the existence of exemplar models for individual phenomena (words, inflection rules, etc.) suggests the feasibility of a unified, exemplars-everywhere model that eschews abstraction. The argument would be strengthened by a description of such a model. However, none is provided. I show that any attempt to do so would immediately…
Descriptors: Models, Language Acquisition, Language Processing, Bayesian Statistics
Cutter, Michael G.; Martin, Andrea E.; Sturt, Patrick – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
We investigated whether readers use the low-level cue of proper noun capitalization in the parafovea to infer syntactic category, and whether this results in an early update of the representation of a sentence's syntactic structure. Participants read sentences containing either a subject relative or object relative clause, in which the relative…
Descriptors: Nouns, Phrase Structure, Syntax, Eye Movements
Wellwood, Alexis; Gagliardi, Annie; Lidz, Jeffrey – Language Learning and Development, 2016
Acquiring the correct meanings of words expressing quantities ("seven, most") and qualities ("red, spotty") present a challenge to learners. Understanding how children succeed at this requires understanding, not only of what kinds of data are available to them, but also the biases and expectations they bring to the learning…
Descriptors: Syntax, Computational Linguistics, Task Analysis, Prediction
Beekhuizen, Barend; Bod, Rens; Zuidema, Willem – Language and Speech, 2013
In this paper we present three design principles of language--experience, heterogeneity and redundancy--and present recent developments in a family of models incorporating them, namely Data-Oriented Parsing/Unsupervised Data-Oriented Parsing. Although the idea of some form of redundant storage has become part and parcel of parsing technologies and…
Descriptors: Language Acquisition, Models, Bayesian Statistics, Computational Linguistics
Kazemzadeh, Abe – ProQuest LLC, 2013
This dissertation studies how people describe emotions with language and how computers can simulate this descriptive behavior. Although many non-human animals can express their current emotions as social signals, only humans can communicate about emotions symbolically. This symbolic communication of emotion allows us to talk about emotions that we…
Descriptors: Natural Language Processing, Psychological Patterns, Computer Simulation, Discourse Analysis