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Modeling Children's Organization Of Utterances Using Statistical Information From Adult Language Input, Katie Lynn Walker
Modeling Children's Organization Of Utterances Using Statistical Information From Adult Language Input, Katie Lynn Walker
Theses and Dissertations
Previous computerized models of child language acquisition have sought to determine how children acquire grammatical word categories (GWCs). The current study seeks to determine if statistical structure can be corroborated as a factor in GWC acquisition. Previous studies examining statistical structure have dealt with word order rather than GWC order and only examined an overall success rate. The present study examines how well a computer model of child acquisition of GWCs was able to reorganize scrambled sentences back into the correct GWC order using transitional probabilities extracted from adult language input. Overall, a 50% success rate was obtained, but when …
A Model Of Children's Acquisition Of Grammatical Word Categories From Adult Language Input Using An Adaption And Selection Algorithm, Emily Marie Berardi
A Model Of Children's Acquisition Of Grammatical Word Categories From Adult Language Input Using An Adaption And Selection Algorithm, Emily Marie Berardi
Theses and Dissertations
Previous models of language acquisition have had partial success describing the processes that children use to acquire knowledge of the grammatical categories of their native language. The present study used a computer model based on the evolutionary principles of adaptation and selection to gain further insight into children's acquisition of grammatical categories. Transcribed language samples of eight parents or caregivers each conversing with their own child served as the input corpora for the model. The model was tested on each child's language corpus three times: two fixed mutation rates as well as a progressively decreasing mutation rate, which allowed less …
External Validity Of Grammatical Word Category Classification Using An Adaptation And Selection Model, Michelle Chatterton
External Validity Of Grammatical Word Category Classification Using An Adaptation And Selection Model, Michelle Chatterton
Theses and Dissertations
The process of acquiring language requires children to learn grammatical categories and apply these categories to new words. Researchers have proposed various explanations of this process in the form of algorithms and computational modeling. Recently, adaptation and selection models have been tested and applied as a possible explanation to the process of acquiring grammatical categories. These studies have proven promising, however, the external validity of this approach has not been examined by grammatically coding samples outside the training corpus. The current thesis applies an adaptation and selection model, which pauses the evolution of dictionaries after every thousand cycles to allow …
A Model Of Grammatical Category Acquisition In The Spanish Language Using Adaptation And Selection, Camille Lorraine Judd
A Model Of Grammatical Category Acquisition In The Spanish Language Using Adaptation And Selection, Camille Lorraine Judd
Theses and Dissertations
Most typically developing children have achieved a knowledge of the grammatical categories of the words in their native language by school age. To model this achievement, researchers have developed a variety of explicit, testable models or algorithms which have had partial but promising success in extracting the grammatical word categories from the transcriptions of caregiver input to children. Additional insight into children's learning of the grammatical categories of words might be obtained from an application of evolutionary computing algorithms, which simulate principles of evolutionary biology such as variation, adaptive change, self-regulation, and inheritance. Thus far, however, this approach has only …
A Model Of Children's Acquisition Of Grammatical Word Categories Using An Adaptation And Selection Algorithm, Teresa Young
A Model Of Children's Acquisition Of Grammatical Word Categories Using An Adaptation And Selection Algorithm, Teresa Young
Theses and Dissertations
Most children who follow a typical developmental timeline learn the grammatical categories of words in their native language by the time they enter school. Researchers have worked to provide a number of explicit, testable models or algorithms in an attempt to model this language development. These models or algorithms have met with some varying success in terms of determining grammatical word categories from the transcripts of adult input to children. A new model of grammatical category acquisition involving an application of evolutionary computing algorithms may provide further understanding in this area. This model implements aspects of evolutionary biology, such as …
A Model Of Grammatical Category Acquisition Using Adaptation And Selection, Sarah Zitting Cluff
A Model Of Grammatical Category Acquisition Using Adaptation And Selection, Sarah Zitting Cluff
Theses and Dissertations
By the later preschool years, most children have a knowledge of the grammatical categories of their native language and are capable of expanding this knowledge to novel words. To model this accomplishment, researchers have created a variety of explicit, testable models or algorithms. These have had partial but promising success in extracting grammatical word categories from transcriptions of caregiver input to young children. Additional insight into children's learning of the grammatical categories of words might be gained from evolutionary computing algorithms, which apply principles of evolutionary biology such as variation, adaptive change, self-regulation, and inheritance to computational models. The current …