This dissertation examines the thesis that implicit learning plays a role in learning about scientific phenomena, and subsequently, in conceptual change. Decades of research in learning science demonstrate that a primary challenge of science education is overcoming prior, naive knowledge of natural phenomena in order to gain scientific…

Understanding how people learn the phonological patterns of their language is a major challenge facing the field of phonology. In this dissertation, I approach the issue of phonological learning by focusing on "saltatory" alternations, which occur when two alternating sounds "leap over" an intermediate, invariant sound (e.g.,…

Debuccalization is a weakening phenomenon whereby various consonants reduce to laryngeals. Examples include Spanish s-aspiration (s becomes h word-finally) and English t-glottalization (t becomes glottal stop syllable-finally). Previous analyses of debuccalization view it as a lenition process that deletes or manipulates formal phonological…

Ensemble approaches have been shown to enhance classification by combining the outputs from a set of voting classifiers. Diversity in error patterns among base classifiers promotes ensemble performance. Multi-task learning is an important characteristic for Neural Network classifiers. Introducing a secondary output unit that receives different…

Recent research has shown that adults can implicitly learn artificial phonotactics constraints from experience producing syllables that contain those constraints, and that this learning is reflected in their speech errors. However, second-order constraints in which the placement of a consonant depends on another characteristic of the syllable…