| Eye movement evidence that readers maintain and act on uncertainty about past linguistic input R Levy, K Bicknell, T Slattery, K Rayner Proceedings of the national academy of sciences 106 (50), 21086-21090, 2009 | 333 | 2009 |
| Predictive power of word surprisal for reading times is a linear function of language model quality A Goodkind, K Bicknell Proceedings of the 8th workshop on cognitive modeling and computational …, 2018 | 243 | 2018 |
| Effects of event knowledge in processing verbal arguments K Bicknell, JL Elman, M Hare, K McRae, M Kutas Journal of memory and language 63 (4), 489-505, 2010 | 191 | 2010 |
| Reading is fundamentally similar across disparate writing systems: a systematic characterization of how words and characters influence eye movements in Chinese reading. X Li, K Bicknell, P Liu, W Wei, K Rayner Journal of Experimental Psychology: General 143 (2), 895, 2014 | 152 | 2014 |
| A rational model of eye movement control in reading K Bicknell, R Levy Proceedings of the 48th annual meeting of the Association for Computational …, 2010 | 121 | 2010 |
| Task effects reveal cognitive flexibility responding to frequency and predictability: Evidence from eye movements in reading and proofreading ER Schotter, K Bicknell, I Howard, R Levy, K Rayner Cognition 131 (1), 1-27, 2014 | 119 | 2014 |
| Do successor effects in reading reflect lexical parafoveal processing? Evidence from corpus-based and experimental eye movement data B Angele, ER Schotter, TJ Slattery, TL Tenenbaum, K Bicknell, K Rayner Journal of Memory and Language 79, 76-96, 2015 | 50 | 2015 |
| Why readers regress to previous words: A statistical analysis K Bicknell, R Levy Proceedings of the annual meeting of the Cognitive Science Society 33 (33), 2011 | 46 | 2011 |
| Listeners can maintain and rationally update uncertainty about prior words K Bicknell, MK Tanenhaus, TF Jaeger Manuscript submitted for publication.[KB], 2015 | 43 | 2015 |
| Simultaneous translation and paraphrase for language education S Mayhew, K Bicknell, C Brust, B McDowell, W Monroe, B Settles Proceedings of the fourth workshop on neural generation and translation, 232-243, 2020 | 33 | 2020 |
| Detecting language impairments in autism: A computational analysis of semi-structured conversations with vector semantics A Goodkind, M Lee, GE Martin, M Losh, K Bicknell Proceedings of the Society for Computation in Linguistics (SCiL) 2018, 12-22, 2018 | 23 | 2018 |
| Word predictability and frequency effects in a rational model of reading K Bicknell, R Levy Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012 | 23 | 2012 |
| A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs K Bicknell, R Levy Proceedings of human language technologies: The 2009 annual conference of …, 2009 | 23 | 2009 |
| Using LSTMs to assess the obligatoriness of phonological distinctive features for phonotactic learning N Mirea, K Bicknell Proceedings of the 57th annual meeting of the association for computational …, 2019 | 19 | 2019 |
| Form-to-expectation matching effects on first-pass eye movement measures during reading. TA Farmer, S Yan, K Bicknell, MK Tanenhaus Journal of Experimental Psychology: Human Perception and Performance 41 (4), 958, 2015 | 19 | 2015 |
| On the processing of canonical word order during eye fixations in reading: Do readers process transposed word previews? K Rayner, B Angele, ER Schotter, K Bicknell Visual Cognition 21 (3), 353-381, 2013 | 19 | 2013 |
| Correcting the incorrect: Local coherence effects modeled with prior belief update K Bicknell, R Levy, V Demberg Annual Meeting of the Berkeley Linguistics Society, 13-24, 2009 | 19 | 2009 |
| Online expectations for verbal arguments conditional on event knowledge K Bicknell, JL Elman, M Hare, K McRae, M Kutas Proceedings of the 30th annual conference of the cognitive science society …, 2008 | 19 | 2008 |
| A model of generalization in distributional learning of phonetic categories B Pajak, K Bicknell, R Levy Proceedings of the fourth annual workshop on cognitive modeling and …, 2013 | 17 | 2013 |
| How Duolingo's AI Learns what you Need to Learn: The language-learning app tries to emulate a great human tutor K Bicknell, C Brust, B Settles IEEE Spectrum 60 (3), 28-33, 2023 | 16 | 2023 |
Roger LevyProfessor of Brain & Cognitive Sciences, MITVerified email at mit.edu
