In this dissertation, I establish a research program that uses computational modeling as a testbed for theories of phonological learning. This dissertation focuses on a fundamental question: how do children acquire sound patterns from noisy, real-world data, especially in the presence of lexical exceptions that defy regular patterns? For instance,…

How do children learn the meaning of words like "pretty" and "tall," which are not only gradable and context dependent (Kennedy & McNally 2005), but encode speaker subjectivity? Despite their complex semantics (Stephenson 2007; Lasersohn 2009; Bylinina 2014), these and other adjectives like them, are some of the most…

Grammar competition has been proposed as a model for second language (L2) acquisition. Variational Learning provides a framework within which to investigate the idea of grammar competition as the model requires a marriage of quantitative properties of the input with Universal Grammar. A diachronic variational model of grammar competition is…

Data-driven learning uncontroversially plays a role in human language acquisition--how large a role is a matter of much debate. The success of artificial neural networks in NLP in recent years calls for a re-evaluation of our understanding of the possibilities for learning grammar from data alone. This dissertation argues the case for using…

In this article, we propose a reconceptualization of the principles and parameters (P&P) framework. We argue that in lieu of discrete parameter values, a parameter value exists on a gradient plane that encodes a learner's confidence that a particular parametric structure licenses the utterances in the learner's linguistic input. Crucially,…

Humans can attribute beliefs to others. However, it is unknown to what extent this ability results from an innate biological endowment or from experience accrued through child development, particularly exposure to language describing others' mental states. We test the viability of the language exposure hypothesis by assessing whether models…

Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…

This study investigates the acquisition of the Imperfective verb inflection paradigm in Emirati Arabic (EA), to determine whether the learning process is sensitive to the phonological and typological properties of the input. We collected data from 48 participants aged 2;7 to 5;9 years, using an elicited production paradigm. Input frequencies of…

This study evaluates the potential for incidentally learning early reading vocabulary through the extensive viewing (EV) of children's movies/television with subtitles. Recent research has investigated how much exposure to important vocabulary EV and extensive reading (ER) provides. Investigations compute the number of repetitions of target…

This dissertation investigates when and how children figure out the force of modals, that is, when and how they learn that "can/might" express possibility, whereas must/have to express necessity. Learning modal force raises a logical "Subset Problem": given that necessity entails possibility, what prevents learners from…

Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…

Syntactic structures are unobserved theoretical constructs which are useful in explaining a wide range of linguistic and psychological phenomena. Language acquisition studies how such latent structures are acquired by human learners through many hypothesized learning mechanisms and apparatuses, which can be genetically endowed or of general…

In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…

Native speakers of English have a strong preference for transferred negation as opposed to non-transferred negation. The present study aims to examine whether young Chinese-speaking ESL learners have a target-like preference for transferred negation and whether they have a system-wide representation of transferred negation in their early English…

This research examines how the U.S. newspapers portrayed the Common Core State Standards between 2010-2017. Lexical choices and discursive strategies in the New York Times and the Wall Street Journal were identified using the Corpus-assisted Discourse Studies framework (Partington & Marchi, 2018; Reisigl, 2018). As a diachronic study focusing…