Each year our IGERT program organizes an interdisciplinary symposium at a leading conference in an area related to the language sciences. By bringing researchers with different methodological and theoretical perspectives together, the symposium promotes the project’s vision of sustainable interdisciplinary collaboration in language science to a broader audience. This spring Jeff Lidz and Bill Idsardi led a symposium on Statistical Inference in Infant Language Acquisition at the Biennial International Conference on Infant Studies (ISIC) in Baltimore (March 10-14, 2010). Our own Amanda Woodward (Psychology) and Nathan Fox (Human Development) were program chairs for the entire conference. The unusual feature of this symposium is that it brought cross-linguistic and computational expertise together with infancy research to address fundamental issues in language learning.
Symposium line-up:
1. How to Learn Vowels: Computational Approaches to Language Diversity
William Idsardi, Brian Dillon, Ewan Dunbar (University of Maryland)
2. From Sounds to Words: A Bayesian Approach to Modeling Word Segmentation
Sharon Goldwater (University of Edinburgh)
3. Finding Rules and Words in the Speech Stream at Year 1
Luca Bonatti (University of Pompeu Fabra, Barcelona)
4. Statistical Syntactic Inference in Infancy
Jeffrey Lidz (University of Maryland)
5 Discussion
Jenny Saffran (University of Wisconsin)
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