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Hits 1 – 20 of 79

1	Ad-hoc implicature in preschool children
	Alex J Stiller; Noah D Goodman; Michael C Frank
	In: http://langcog.stanford.edu/papers/SGF-underreview.pdf (2015)
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2	The structure of the lexicon reflects principles of communication
	Molly Lewis; Elise Sugarman; Michael C. Frank
	In: http://langcog.stanford.edu/papers/LF-cogsci2014.pdf (2014)
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3	Learning to reason pragmatically with cognitive limitations
	Adam Vogel; Michael C. Frank; Dan Jurafsky...
	In: https://mindmodeling.org/cogsci2014/papers/527/paper527.pdf (2014)
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4	Learning to reason pragmatically with cognitive limitations
	Adam Vogel; Michael C. Frank; Dan Jurafsky...
	In: http://langcog.stanford.edu/papers/VEFJP-underreview.pdf (2014)
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5	Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning
	Minh-thang Luong; Michael C. Frank; Mark Johnson
	In: http://langcog.stanford.edu/papers/LFJ-TACL2013.pdf (2014)
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6	Learning and using language via recursive pragmatic reasoning about other agents
	Nathaniel J. Smith; Noah D. Goodman; Michael C. Frank
	In: http://langcog.stanford.edu/papers/SGF-NIPS2013.pdf (2013)
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7	Learning and Long-Term Retention of Large-Scale Artificial Languages
	Michael C. Frank; Joshua B. Tenenbaum; Edward Gibson
	In: http://tedlab.mit.edu/tedlab_website/researchpapers/Frank_et_al_2013_PLoSONE.pdf (2012)
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8	Semantic Coherence Facilitates Distributional Learning of Word Meanings
	Long Ouyang; Lera Boroditsky; Michael C. Frank
	In: http://langcog.stanford.edu/papers/OBF-cogsci2012.pdf (2012)
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9	Predicting pragmatic reasoning in language games
	Michael C. Frank; Noah D. Goodman
	In: http://www.stanford.edu/~ngoodman/papers/FrankGoodman-Science2012.pdf (2012)
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10	Relating activity contexts to early word learning in dense longitudinal data
	Brandon C. Roy; Michael C. Frank; Deb Roy
	In: http://www.media.mit.edu/cogmac/publications/cogsci2012_RFR_fix.pdf (2012)
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11	Relating activity contexts to early word learning in dense longitudinal data
	Brandon C. Roy; Michael C. Frank; Deb Roy
	In: http://web.media.mit.edu/~dkroy/papers/pdf/cogsci2012_RFR.pdf (2012)
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12	Learning from speaker word choice by assuming adjectives are informative
	Alexandra Horowitz; Michael C. Frank
	In: http://langcog.stanford.edu/papers/HF-cogsci2012.pdf (2012)
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13	Learning from speaker word choice by assuming adjectives are informative
	Alexandra Horowitz; Michael C. Frank
	In: http://mindmodeling.org/cogsci2012/papers/0093/paper0093.pdf (2012)
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14	The learnability of constructed languages reflects typological patterns
	Harry J. Tily; Michael C. Frank; T. Florian Jaeger
	In: http://langcog.stanford.edu/papers/TFJ-cogsci2011.pdf (2011)
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15	The learnability of constructed languages reflects typological patterns
	Harry J. Tily; Michael C. Frank; T. Florian Jaeger
	In: http://www.hlp.rochester.edu/publications/TilyFrankJaeger11-cogsci.pdf (2011)
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16	The learnability of constructed languages reflects typological patterns
	Harry J. Tily; Michael C. Frank; T. Florian Jaeger
	In: http://csjarchive.cogsci.rpi.edu/Proceedings/2011/papers/0317/paper0317.pdf (2011)
	Abstract: A small number of the logically possible word order configurations account for a large proportion of actual human languages. To explain this distribution, typologists often invoke principles of human cognition which might make certain orders easier or harder to learn or use. We present a novel method for carrying out very large scale artificial language learning tasks over the internet, which allows us to test large batteries of systematically designed languages for differential learnability. An exploratory study of the learnability of all possible configurations of subject, verb, and object finds that the two most frequent orders in human languages are the most easily learned, and yields suggestive evidence compatible with other typological and psycholinguistic observations.
	Keyword: artificial grammar; language acquisition
	URL: http://csjarchive.cogsci.rpi.edu/Proceedings/2011/papers/0317/paper0317.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.3381
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17	Overcoming memory limitations in rule learning
	Michael C. Frank; Edward Gibson
	In: http://tedlab.mit.edu/tedlab_website/researchpapers/Frank_%26_Gibson_2011_LLD.pdf (2011)
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18	Effects of caregiver prosody on child language acquisition
	Soroush Vosoughi; On C. Roy; Michael C. Frank...
	In: http://speechprosody2010.illinois.edu/papers/100429.pdf (2010)
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19	Effects of caregiver prosody on child language acquisition
	Soroush Vosoughi; On C. Roy; Michael C. Frank...
	In: http://web.media.mit.edu/%7Edkroy/papers/pdf/vosoughi_prosody2010.pdf (2010)
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20	Beyond transitional probabilities: Human learners impose a parsimony bias in statistical word segmentation. Paper presented at The Cognitive Science Society
	Michael C Frank; Inbal Arnon; Harry Tily...
	In: http://csjarchive.cogsci.rpi.edu/Proceedings/2010/papers/0272/paper0272.pdf (2010)
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