cogsci

congratulations to Ting Qian and Dave Kleinschmidt

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Congratulations to Ting Qian and Dave Kleinschmidt, both students in the Brain and Cognitive Science Program at Rochester and members of HLP Lab, for being awarded a Google Travel Grant to CogSci 2012 in Sapporo, Japan, where they will present their work. which centers around implicit statistical learning and adaptation during language acquisition and processing:

And, thank you, dear Google.

CogSci 2011 papers uploaded

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In case, there’s interest, have a look at the papers to be presented at this year’s Cognitive Science meeting in Boston (July, 20th-23rd). HLP lab will be represented by two talks and four posters. The two talks will presenting work employing artificial language learning to address questions about typological generalizations:

  • Masha Fedzechkina(BCS, University of Rochester) will present evidence that language learners are biased to reduced the uncertainty in the mapping from form to meaning. Her work is comparing the acquisition of miniature languages with and without case-marking in terms of to what extent learners tend to regularize or even fix variable word orders for these two types of languages (Fedzechkina, Jaeger, & Newport, 2011). Together with other recent work (e.g. by Newport, by Culbertson), this work provides evidence that language learners deviate from the input provided to them in a predictable manner. In this case, we designed the experiment to directly test the functionalist claim that language learners are biases towards acquiring languages that support communication (cf. Bates and MacWhinney’s early work).
  • Hal Tily (BCS, MIT) will present work employing a novel web-based artificial language learning paradigm, in which hundreds of participants can be run within a matter of a few days. Using this paradigm, we first replicated and extended a well-known study on determiner learning (Hudson Kam and Newport, 2004) and then investigate to what extent cross-linguistically observed quantitative patterns in argument and determiner order are replicated by language learners. We discuss how this paradigm will facilitate further tests of typological generalizations (Tily, Frank, & Jaeger, 2011).
Two poster presentations will be given on rapid and long-term adaptation to changes in syntactic distributions: Read the rest of this entry »

Word order and case marking in language acquisition and processing (LSA poster and CogSci paper)

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We presented the results of our artificial language learning study on the use of case-marking and word order as cues in processing and learning at the LSA annual meeting. This is work done with Florian Jaeger and Elissa Newport. We investigated whether functional pressures (e.g., ambiguity reduction) operate during language acquisition, biasing learners to (subtly) deviate from the input they receive. Our results suggest that language learners indeed have a bias to reduce uncertainty (or ambiguity) in the input language: The learners are more likely to fix the word order if a language does not have case. See the image below for the details of the study or download the poster as a pdf here. Feedback welcome!

Update 11/29/11: This work was published in the 2011 CogSci Proceedings as

CogSci08 – here we come

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I still don’t know how I managed to not ever have been to CogSci before, but this year it will happen. Thanks to Austin Frank (BCS, UofR), Carlos Gomez Gallo (CS, UofR), and Neal Snider (Ling, Stanford University), a bunch of us will be presenting at CogSci08 in Washington, D.C. in July. I will upload the papers soon.