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1
Finding modal force
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2
How Grammars Grow: Argument Structure and the Acquisition of Non-Basic Syntax
Perkins, Laurel. - 2019
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3
An Affiliative Model of Early Lexical Learning
Tripp, Alayo. - 2019
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4
Pathways to Proficiency: Examining the Coherence of Initial Second Language Acquisition Patterns within the Language Difficulty Categorization Framework
Masters, Megan. - 2018
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5
SECOND LANGUAGE LEXICAL REPRESENTATION AND PROCESSING OF MANDARIN CHINESE TONES
Pelzl, Eric. - 2018
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6
The role of input in discovering presuppositions triggers: Figuring out what everybody already knew
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7
TEMPORAL DISTRIBUTION OF PRACTICE AND INDIVIDUAL DIFFERENCES IN THE ACQUISITION AND RETENTION OF L2 MANDARIN TONAL WORD PRODUCTION
Li, Man. - 2017
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8
The acquisition of adjunct control: grammar and processing
Gerard, Juliana. - 2016
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9
EXPLICIT WRITTEN CORRECTIVE FEEDBACK AND LANGUAGE APTITUDE IN SLA: IMPLICATIONS FOR IMPROVEMENT OF LINGUISTIC ACCURACY
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10
Content-based instruction in the context of Chinese immersion: An exploration of corrective feedback
Yao, Qin. - 2016
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11
THE ROLE OF RULES, EXAMPLES AND INDIVIDUAL DIFFERENCES IN THE ACQUISITION OF DECLARATIVE AND PROCEDURAL SECOND LANGUAGE KNOWLEDGE
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12
Early Phonological Predictors of Toddler Language Outcomes
Gerhold, Kayla. - 2015
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13
Comparing Second Language Learners' Sensitivity to Arabic Derivational and Inflectional Morphology at the Lexical and Sentence Levels
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14
USING NEW MEASURES OF IMPLICIT L2 KNOWLEDGE TO STUDY THE INTERFACE OF EXPLICIT AND IMPLICIT KNOWLEDGE
Suzuki, Yuichi. - 2015
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15
Computational modeling of the role of discourse information in language production and language acquisition
Orita, Naho. - 2015
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16
Verb Learning Under Guidance
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17
Comparative psychosyntax
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18
Syntactic Bootstrapping in the Acquisition of Attitude Verbs
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19
The Influences of Aptitude, Learning Context, and Language Difficulty Categorization on Foreign Language Proficiency
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20
Bayesian Model of Categorical Effects in L1 and L2 Speech Processing
Kronrod, Yakov. - 2014
Abstract: In this dissertation I present a model that captures categorical effects in both first language (L1) and second language (L2) speech perception. In L1 perception, categorical effects range between extremely strong for consonants to nearly continuous perception of vowels. I treat the problem of speech perception as a statistical inference problem and by quantifying categoricity I obtain a unified model of both strong and weak categorical effects. In this optimal inference mechanism, the listener uses their knowledge of categories and the acoustics of the signal to infer the intended productions of the speaker. The model splits up speech variability into meaningful category variance and perceptual noise variance. The ratio of these two variances, which I call Tau, directly correlates with the degree of categorical effects for a given phoneme or continuum. By fitting the model to behavioral data from different phonemes, I show how a single parametric quantitative variation can lead to the different degrees of categorical effects seen in perception experiments with different phonemes. In L2 perception, L1 categories have been shown to exert an effect on how L2 sounds are identified and how well the listener is able to discriminate them. Various models have been developed to relate the state of L1 categories with both the initial and eventual ability to process the L2. These models largely lacked a formalized metric to measure perceptual distance, a means of making a-priori predictions of behavior for a new contrast, and a way of describing non-discrete gradient effects. In the second part of my dissertation, I apply the same computational model that I used to unify L1 categorical effects to examining L2 perception. I show that we can use the model to make the same type of predictions as other SLA models, but also provide a quantitative framework while formalizing all measures of similarity and bias. Further, I show how using this model to consider L2 learners at different stages of development we can track specific parameters of categories as they change over time, giving us a look into the actual process of L2 category development.
Keyword: Acoustics; Bayesian; categorical perception; Cognitive psychology; computational phonology; Linguistics; perceptual magnet effect; second language acquisition; speech perception
URL: http://hdl.handle.net/1903/16164
https://doi.org/10.13016/M2K32Q
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