Masha Fedzechkina

HLP Lab is grinking 2014

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And it’s that time of the year again. Time to take stock. This last year has seen an unusual amount of coming and going. It’s been great to have so many interesting folks visit or spend time in the lab.

Grads

  • Masha Fedzechkina defended her thesis, investigation what artificial language learning can tell us about the source of (some) language universals. She started her post-doc at UPenn, where she’s working with John Trueswell and Leila Gleitman. See this earlier post.
  • Ting Qian successfully defended his thesis on learning in a (subjectively) non-stationary world (primarily advised by Dick Aslin and including some work joint with me). His thesis contained such delicious and ingenious contraptions as the Hibachi Grill Process, a generalization of the Chinese Restaurant Process, based on the insight that the order of stimuli often contains information about the structure of the world so that a rational observer should take this information into account (unlike basically all standard Bayesian models of learning). Check out his site for links to papers under review. Ting’s off to start his post-doc with Joe Austerweil at Brown University.

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Congratulations to Dr. Fedzechkina

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Congratulations to Masha (a.k.a Dr. Fedzechkina) for successfully defending her thesis “Communicative Efficiency, Language Learning, and Language Universals“, jointly advised by Lissa Newport (now at Georgetown) and me. Masha’s thesis presents 7 multi-day artificial language learning studies that investigate the extent to which functional pressures guide language learning, thereby leading learners to subtly deviate from the input they receive.

Five of the experiments investigate the trade-off between word order and case-marking as a means of encoding grammatical function assignment. For a preview on these experiments, see the short report in Fedzechkina, Jaeger, and Newport (2011) and this paper under review. Two additional experiments investigate how learners trade-off animacy and case-marking (Fedzechkina, Jaeger, & Newport, 2012). Her most recent studies also show how learners trade-off uncertainty (assessed as the conditional entropy over grammatical function assignments given perfect knowledge of the grammar) and effort.

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Assorted characters from Masha’s artificial languages (from her thesis roast shirt)

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