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Miniature Artificial Language Learning

This research, conducted by Dr. Jennifer Culbertson investigates the extent to which learning biases offer a possible explanation for typological universals-- asymmetries among possible language types--in syntax and morphology. The project uses an artificial language learning paradigm first developed by Dr. Elissa Newport and colleagues.

  • Get involved in this research project by becoming an experimental participant! Contact linglab.
  • Find out about possible openings for student research assistant internships by contacting Dr. Culbertson.
  • Learn more about Dr. Culbertson's research by visiting her webpage.
Language Perception and Production

This broad project examines the intuitions and unconscious knowledge that native and non-native speakers might have about a language they are using and/or learning. The project uses a number of methodologies including judgment tasks, categorization tasks, and word games. Research is conducted by Drs. Culbertson, Weinberger, Jones, and Wolf, and a number of graduate students in the Linguistics Program.

  • Get involved in this research project by becoming an experimental participant! Contact linglab
The Speech Accent Archive

This project, created and run by Dr. Steven Weinberger involves collecting and analyzing a large set of speech samples from a variety of language backgrounds. Native and non-native speakers of English read the same paragraph, and these samples are carefully transcribed and used used to compare and analyze speaker accents.

  • Get involved in this research project by recording a sample for the archive! Contact Dr. Weinberger
  • Learn more about Dr. Weinberger's research by visiting his webpage.

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