College of Arts & Humanities
Permanent URI for this communityhttp://hdl.handle.net/1903/1611
The collections in this community comprise faculty research works, as well as graduate theses and dissertations.
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Item The Learning and Usage of Second Language Speech Sounds: A Computational and Neural Approach(2023) Thorburn, Craig Adam; Feldman, Naomi H; Linguistics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Language learners need to map a continuous, multidimensional acoustic signal to discrete abstract speech categories. The complexity of this mapping poses a difficult learning problem, particularly for second language learners who struggle to acquire the speech sounds of a non-native language, and almost never reach native-like ability. A common example used to illustrate this phenomenon is the distinction between /r/ and /l/ (Goto, 1971). While these sounds are distinct in English and native English speakers easily distinguish the two sounds, native Japanese speakers find this difficult, as the sounds are not contrastive in their language. Even with much explicit training, Japanese speakers do not seem to be able to reach native-like ability (Logan, Lively, & Pisoni, 1991; Lively, Logan & Pisoni, 1993) In this dissertation, I closely explore the mechanisms and computations that underlie effective second-language speech sound learning. I study a case of particularly effective learning--- a video game paradigm where non-native speech sounds have functional significance (Lim & Holt, 2011). I discuss the relationship with a Dual Systems Model of auditory category learning and extend this model, bringing it together with the idea of perceptual space learning from infant phonetic learning. In doing this, I describe why different category types are better learned in different experimental paradigms and when different neural circuits are engaged. I propose a novel split where different learning systems are able to update different stages of the acoustic-phonetic mapping from speech to abstract categories. To do this I formalize the video game paradigm computationally and implement a deep reinforcement learning network to map between environmental input and actions. In addition, I study how these categories could be used during online processing through an MEG study where second-language learners of English listen to continuous naturalistic speech. I show that despite the challenges of speech sound learning, second language listeners are able to predict upcoming material integrating different levels of contextual information and show similar responses to native English speakers. I discuss the implications of these findings and how the could be integrated with literature on the nature of speech representation in a second language.Item Larrons En Foire: Perceptions and Changing Strategies in Russia and Britain durring the Balkan Crises(2023) Trombley, Josiah D; Dolbilov, Mikhail; History; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)With a contemporary diplomatic crisis between Russia and the West heating up due to the Russo-Ukrainian War, this thesis looks at an often undervalued Nineteenth Century crisis that offers lessons for the ongoing political situation. This thesis argues that, instead of merely being a starting point for many polities in Southern Europe, the Balkan Crisis of 1876-1878 and the subsequent Treaty of Berlin are not only important for Balkan and Ottoman history, but also provides a crucial window into how a crisis could lead to changes in governing and national ideologies. Crucially, this thesis argues that despite the Russian government’s lack of representative bodies, and the British government’s own incredibly limited electorate, the perception of popular support at home for the Balkan peoples abroad altered the way in which leaders of both empires made diplomatic decisions throughout the Balkan Crises. Furthermore, this public sentiment, in this case support for Balkan nationalism and pan-nationalism, became part of an enduring legacy in the political spheres of both St. Petersburg and London.Item The Explanatory Role of Intentional Content in Cognitive Science(2015) Knoll, Andrew Charles; Rey, Georges; Philosophy; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This work argues that intentional content plays at least two explanatory roles in cognitive science. First, it allows cognitive states to be type-individuated independently of their relations to one another and to mind external phenomena. Secondly, it allows for counterfactual preserving generalizations over states so individuated. Thus, intentional content does not play this explanatory role in highly encapsulated cognitive processes. By contrast, it is necessary to type individuate states that partake in isotropic cognitive processes. This work thus cuts a middle path between those who would eliminate intentional content from cognition altogether, and those who take it to be the ‘mark of the mental.’ Chapter 1 argues that there is no good reason to eliminate intentional content from cognitive science. But, it also argues that there is a coherent notion of computation without representation on offer as well. So, many cognitive processes could be explained as computations over states without intentional content. Chapter 2 argues that many extant accounts of the explanatory role of intentional content end up being otiose. Too often, such accounts are concerned with capturing our intuitions about the proper way to talk about cognitive processes. But, in many cases, this talk can be eliminated from our explanations without loss of explanatory power. Chapter 3 lays out the main argument. Many encapsulated cognitive processes—including early perceptual processes-- can be explained in terms of computation without intentional content. In contrast, processes that are open to isotropic revision require their states to be individuated in terms of intentional content. Chapter 4 surveys some objections to this view. One worry is that if cognition is massively modular, then all cognition must be non-intentional. On the contrary, modular processes can also be open to isotropic revision, and thus be amenable to intentional explanation. Chapter 5 provides an example of such a modular process: the phonological system. It argues that states of the phonological system must be individuated in terms of intentional content. Phonological processing thus provides a case study for intentional explanation more generally.