To build an Artificial Intelligence system that can assist us in daily lives, the ability to understand the world around us through visual input is essential. Prior studies train visual perception models by defining concept vocabularies and annotate data against the fixed vocabulary. It is hard to define a comprehensive set of everything, and thus…

Understanding cognitive effort expended during assessments is essential to improving efficiency, accuracy, and accessibility within these assessments. Pupil dilation is commonly used as a psychophysiological measure of cognitive effort, yet research on its relationship with effort expended specifically during language processing is limited. The…

Purpose: This study aimed to investigate how hearing loss affects (a) spoken language processing and (b) processing of faster speech in school-age children who are deaf and hard of hearing (DHH). Method: Spoken language processing was compared in thirty-six 7- to 12-year-olds who are DHH and 31 peers with normal hearing using a word detection…

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…

The phraseology of precipitation as a weather phenomenon occupies an important part in the Kazakh and Kyrgyz languages. Each phraseological fund encompasses rich imagery and specific cognitive characteristics. The objectives of this research were to discover the cognitive characteristics of rain, snow and hail based on their participation in…

Purpose: Predictive language comprehension has become a major topic in psycholinguistic research. The study described in this article aims to investigate if German children with developmental language disorder (DLD) use grammatical gender agreement to predict the continuation of noun phrases in the same way as it has been observed for typically…

The purpose of this narrative review was to examine the linguistic and classroom strategies used by young adults with dyslexia. Studies investigating evidence about university students' use of strategies were compiled from four databases, including Academic Search Complete, APA PyscINFO, Education Research Complete, and Medline. Among the 117…

Research has established positive associations between informal digital activities and vocabulary knowledge. However, understanding how different types of digital activities relate to various aspects of vocabulary knowledge is limited. This study examined how the purpose of informal digital activities and strategic engagement during and/or after…

This research examined how linguistic differences between African American English (AAE) and Mainstream American English (MAE) impact how children process sentences and learn new information. The central hypothesis of this dissertation is that these linguistic differences adversely impact how AAE-speaking children use contrastive inflectional verb…

"A Dictionary of Contemporary Figurative Language" is meant to be an appendix to an earlier, more comprehensive work: ED648945, "A Dictionary and Thesaurus of Contemporary Figurative Language and Metaphor 2024." This appendix simply updates the dictionary of that previous work to better reflect the language used during the 2024…

In simultaneous interpreting studies, the concept of interference -- namely, the marks of the source language in the target language -- is perceived as a negative phenomenon. However, interference is likely to happen at a lexical level when the target language does not have its own lexicon. This is the case in international sign (IS), which can be…

This article analyses the significance of ideological and political education for college students in Tibet and proposes a natural language model for an ideological education curriculum to improve the accuracy of students' document search. The segmentation results are optimized to enhance literature search accuracy, promoting the development of…

Multilingualism presents both a challenge and an opportunity for Natural Language Processing, with code-switching representing a particularly interesting problem for computational models trained on monolingual datasets. In this paper, we explore how code-switched data affects the task of Machine Translation, a task which only recently has started…

Second language learners constitute a significant and expanding portion of the global population and there is a growing demand for tools that facilitate language learning and instruction across various levels and in different countries. The development of large language models (LLMs) has brought about a significant impact on the domains of natural…

The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…