The Workshop on Learning Biases in Natural and Artificial Language Acquisition will take place on 5th September 2014 in Oxford in conjunction with the 2014 Annual Meeting of the Linguistics Association of Great Britain (LAGB 2014).
This workshop, which will be organised by Adam Albright (MIT) and Andrew Nevins (UCL), aims to explore questions such as:
How can we relate performance in an artificial lab task to natural language acquisition? What kinds of biases have actually been supported by experimental results, to date? What kinds of biases do these techniques allow us to test, and what kinds of biases can only be observed within the context of a full-blown linguistic system with qualitatively and quantitatively more complex training, longer timescales of learning, and learning within richer semantic contexts? What is the contribution, if any, of participants’ L1 to the task of artificial grammar learning?
Adam Albright (MIT), will present a keynote address on ‘Generalizing phonological patterns with phonetic and featural biases’.
Other invited speakers include:
- Alex Cristia (CNRS)
- Sara Finley (Elmhurst College)
- Elliott Moreton (University of North Carolina)
- Ruben van de Vijver (Potsdam) & Dinah Baer-Henney (Potsdam)
Call for Contributions
The workshop organisers welcome proposals for papers and posters with theoretical and empirical contributions pertaining to the themes that the workshop explores. Posters will be displayed at the workshop, whereas papers will be presented in the main parallel sessions of the LAGB 2014 (on 3rd or 4th September 2014). Details about abstract submissions can be found here, and at the LAGB 2014 conference website. The deadline for submission is 11 April 2014, and notification of acceptance will be provided in May 2014.