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 spe...

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Authors: Ge, Y

• DOI: 10.5287/ora-zv5geerdq
• Type of award: MSc taught course
• Level of award: Masters
• Awarding institution: University of Oxford
• Language: English
• Keywords: ALSLA; Second language acquisition; Artificial language learning; Speech sound acquisition; Discriminative learning; Quantitative research; Online behavioural experiment; ALSLA2021; Error-driven learning
• Subjects: Adult learning; Social prediction; Applied linguistics; Second language acquisition; Education; Quantitative research