Background: The detection and description of language impairments in neurodegenerative diseases like Alzheimer's Disease (AD) play an important role in research, clinical diagnosis and intervention. Various methodological protocols have been implemented for the assessment of morphosyntactic abilities in AD; narrative discourse elicitation tasks…

Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…

Grounded or embodied cognition research has employed body-object interaction (BOI; e.g., Pexman et al., 2019) ratings to investigate sensorimotor effects during language processing. We investigated relationships between BOI ratings and nonarbitrary statistical mappings between words' phonological forms and their syntactic category in English;…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…

Analysis of second language (L2) learners' language development can allow valid and reliable assessment of the learners' L2 linguistic knowledge, which can enable the teachers and researchers to choose appropriate teaching or experimental materials (Bardovi-Harlig & Bofman, 1989; Wolfe-Quintero et al., 1997). However, most language development…

Most research in psycholinguistics relies on online measures such as reading time to inform and test theories of language comprehension. However, the value of offline measures such as question-answering performance is sometimes overlooked in sentence processing work. Consequently, psycholinguists do not yet understand how the tasks and measures…

This dissertation study explored the feasibility of using authenticated spoken texts to test L2 Chinese listening comprehension. The spoken texts used in the study were created using an "authenticating" technique, in which scripted spoken Chinese texts were infused with characteristics of real-world, unscripted spoken Chinese. In the…

Purpose: From a psycholinguistic perspective, the quality of the stored word form in the phonological input lexicon, as well as its effective retrieval from the phonological output lexicon, is of great importance in lexical processing. This study aimed at gaining a deeper understanding of (a)typical word form processing in primary school children.…

This study aimed to profile the sublexical, lexical, and text level language skills, and cognitive processes of a sub-group of children with poor reading comprehension known as poor comprehenders. An assessment protocol was developed to assess each of the components from Perfetti and Stafura's Reading Systems Framework. A comprehensive profile was…

Purpose: This study examined bilinguals' performance on functional executive function map tasks such as the Zoo Map from the Behavioural Assessment of the Dysexecutive Syndrome and the extent to which working memory, set-shifting, and inhibition measures predicted bilinguals' performance on these tasks. Additionally, we explored the utility of…

In this study, we aimed to evaluate further the functioning and structuring of the semantic system in autism spectrum disorders (ASD). We analyzed the performance of 19 high-functioning young adults with ASD and a group of 20 age-, verbal IQ- and education-matched individuals with the Proactive Interference (PI) Paradigm to evaluate semantic…

Processing semantically related stimuli creates interference across various domains of cognition, including language and memory. In this study, we identify the locus and mechanism of interference when retrieving meanings associated with words and pictures. Subjects matched a probe stimulus (e.g., cat) to its associated target picture (e.g., yarn)…

A novel online reading methodology termed Self-Guided Reading (SGR) is examined to determine if it can successfully detect well-studied syntactic processing behaviours. In SGR, a participant runs their finger under masked text in order to reveal a sentence. It is therefore similar to self-paced reading in presentation of stimuli, but different in…

The field of Natural Language Processing (NLP) focuses on the study of how utterances composed of human-level languages can be understood and generated. Typically, there are considered to be three intertwined levels of structure that interact to create meaning in language: syntax, semantics, and pragmatics. Not only is a large amount of…