Exploring speech sound acquisition in adult learners under a discriminative learning model

Thesis

How do we learn the sound systems of different languages from the complex speech input around us? One influential perspective is that listeners can track the statistical distribution of acoustic features in speech to promote learning. However, although str ong evidence has been found for the role of input statistics in phonological development, the underlying learning mechanisms that drive statistical learning

How do we learn the sound systems of different languages from the complex speech ...

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Authors: Ge, Y

• Type of award: MSc taught course
• Level of award: Masters
• Awarding institution: University of Oxford
• Language: English
• Keywords: Online behavioural experiment; Quantitative research; ALSLA; Speech sound acquisition; Second language acquisition; Discriminative learning; ALSLA2021; Artificial language learning; Error-driven learning
• Subjects: Applied linguistics; Quantitative research; Social prediction; Second language acquisition; Adult learning; Education