Many psycholinguistic studies examine how people parse sentences in isolation; however, years of work in discourse processing have shown that sentence-level interpretations are influenced at some stage by discourse-level information. Evidence over the past 20 years remains mixed as to the temporal dynamics of such top-down interactions. In…

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…

Psycholinguistic research aims to understand how people make sense of language in their everyday lives. However, most of this research studies language under experimental conditions in which people are instructed to specifically monitor (and indicate) when there is a breakdown in their understanding. Moreover, there is an assumption that people…

We propose that negative clauses are generally interpreted as if the affirmative portion of the clause is under discussion, a likely topic. This predicts a preference for affirmative (topical) antecedents over negative antecedents of a following missing verb phrase (VP). Three experiments tested the predictions of this hypothesis in sentences…

Distributional models of semantics learn word meanings from contextual co-occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co-occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co-occurrences…

In contexts of first language (L1) acquisition, prediction and adaptation are often viewed as fundamental to the learning process (Rabagliati et al., 2016). One mechanism that has been proposed to specifically account for such adaptive behavior is error-based implicit learning (e.g., Chang et al., 2006). According to this account, speakers…

Purpose: This research investigated the nature of cognitive decline in prodromal Alzheimer's disease (AD), particularly in mild cognitive impairment, amnestic type (aMCI). We assessed language in aMCI as compared with healthy aging (HA) and healthy young (HY) with new psycholinguistic assessment of complex sentences, and we tested the degree to…

Open-ended comprehension questions are a common type of assessment used to evaluate how well students understand one of multiple documents. Our aim is to use natural language processing (NLP) to infer the level and type of inferencing within readers' answers to comprehension questions using linguistic and semantic features within their responses.…

The Interface Hypothesis proposes that second language (L2) learners, even at highly proficient levels, often fail to integrate information at the external interfaces where grammar interacts with other cognitive systems. While much early L2 work has focused on the syntax-discourse interface or scalar implicatures at the semantics-pragmatics…

Two eye-tracking experiments were conducted using written Chinese sentences that contained a multi-word ambiguous region. The goal was to determine whether readers maintained multiple interpretations throughout the ambiguous region or selected a single interpretation at the point of ambiguity. Within the ambiguous region, we manipulated the…

This study tested the effect of constraining sentence context on word recognition time (RT) in the first and second language. Native (L1) and nonnative (L2) speakers of English performed self-paced reading and listening tasks to see whether a semantically-rich preceding context would lead to the activation of a probable upcoming word prior to…

This paper investigates the interpretation that Italian-speaking children and adults assign to negative sentences with disjunction and negative sentences with conjunction. The aim of the study was to determine whether children and adults assign the same interpretation to these types of sentences. The Semantic Subset Principle (SSP) (Crain et al.,…

This dissertation presents various machine learning applications for predicting different cognitive states of students while they are using a vocabulary tutoring system, DSCoVAR. We conduct four studies, each of which includes a comprehensive analysis of behavioral and linguistic data and provides data-driven evidence for designing personalized…

Previous studies on Korean relative clauses (RC) show that, with respect to processing, object-extracted relative clauses (ORC) are more difficult to process at the head noun than subject-extracted relative clauses within temporarily ambiguous contexts. ORCs, however, are predicted by experience-based processing models to incur a greater…

Cognitive factors have been recognised as important in the interpreting process, but whether they could serve as valid components of interpreting aptitude still awaits further investigation. This study explores the predictive value of cognitive fluency in the simultaneous interpreting (SI) performance of trainee interpreters. Cognitive fluency…