Solab Publications

Last update: November 9, 2021

Conference Presentations

  • Tabor, W. (2020). On the relationship between syntactic and semantic encoding in vector space language models.  Talk given (virtually) at SemSpace 2020, Utrecht, Holland. (PPTX)
  • Tabor, W., Villata, S., & Sprouse, J. (2020).  A Theory of Island Semi-Accessibility:  the Case of the Strong/Weak Distinction.  Talk given (virtually) at the 33rd Annual CUNY Human Sentence Processing Conference, UMass, Amherst. (PPTX)

Journal and Conference Papers

  • Villata, S. & Tabor, W. (in press). A self-organized sentence processing theory of gradience: The case of islands. Cognition. (PDF) (Code on Github)
  • Smith, G., Franck, J., & Tabor, W. (2021). Encoding interference effects support self-organized sentence processing. Cognitive Psychology, 124: 101356 (PDF)
  • Tabor, W. (2021). On the relationship between syntactic and semantic encoding in metric space language models. Journal of Cognitive Science, 22(2): 135-155. (PDF)
  • Villata, S., Sprouse, J., & Tabor, W. (2019). Modeling Ungrammaticality: A Self-Organizing Model of Islands. In A.K. Goel, C.M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 1178-1184). Montreal, QB: Cognitive Science Society. (PDF)
  • Smith, G. & Tabor, W. (2018). Toward a theory of timing effects in self-organized sentence processing.  In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (pp. 138-143). Madison, Wisconsin (ICCM 2018). (PDF)
  • Smith, G., Franck, J., & Tabor, W. (2018). A self-organizing approach to subject-verb number agreement. Cognitive Science, 2018: 1-32. http://doi:10.1111/cogs.12591. (PDF)
  • Villata, S., Tabor, W., & Franck, J. (2018). Encoding and retrieval interference in sentence comprehension: evidence from agreement. Frontiers in Psychology, 19. (PDF)
  • Fang, S., Smith, G., & Tabor, W. (2017). The importance of situation-specific encodings: analysis of a simple connectionist model of letter transposition effects. Connection Science, DOI: 10.1080/09540091.2016.1272097. (PDF)
  • Saghafi, M., Dankowicz, H., & Tabor, W. (2017).  Emergent Task Differentiation on Network Filters.  SIAM Journal of Applied Dynamical Systems, 16(3): 1686-1709. (PDF)
  • Cho, P., Szkudlarek, E., & Tabor, W. (2016). Discovery of a recursive principle: An artificial grammar investigation of human learning of a counting recursion language. Frontiers in Psychology, 7:867. (PDF)
  • Tabor, W. (2015). Fractal grammars which recover from perturbations. NIPS Cognitive Computation (CoCo2015). To appear in NIPS Proceedings 2015. (PDF)
  • Kukona, A., Cho, P., Magnuson, J., & Tabor, W. (2014). Lexical Interference Effects in Sentence Processing: Evidence From the Visual World Paradigm and Self-Organizing Models. Journal of Experimental Psychology: Learning, Memory and Cognition, 40 (2): 326-347. (PDF)
  • Tabor, W., Cho, P., & Dankowicz, H. (2014). Birth of an abstraction: A dynamical systems account of the discovery of an Elsewhere Principle in a category learning task. Cognitive Science. (PDF)
  • Tabor, W., Cho, P. W., & Szkudlarek, E. (2013). Fractal Analysis Illuminates the Form of Connectionist Structural Gradualness. Topics in Cognitive Science, 5: 634-667. (PDF).
  • Tabor, W., Cho, P. W., & Szkudlarek, E. (2012). Fractal Unfolding: A Metamorphic Approach to Learning to Parse Recursive Structure. In the Proceedings of the North American Association for Computational Linguistics meeting (NAACL-HLT). Stroudsburg, PA: Association for Computational Linguistics. (PDF)
  • Cho, P. W., Szkudlarek, E., Kukona, A., & Tabor, W. (2011). An Artificial Grammar Investigation into the Mental Encoding of Syntactic Structure. In the Proceedings of the 33rd Annual Meeting of the Cognitive Science Society (Cogsci2011). The Cognitive Science Society. (PDF)
  • Kukona, A. and Tabor, W. (2011). Impulse Processing: A Dynamical Systems Model of Incremental Eye Movements in the Visual World Paradigm. Cognitive Science, 35: 1009-1051. (PDF)
  • Tabor, W. (2011). Recursion and Recursion-Like Structure in Ensembles of Neural Elements. Sayama, H, Minai, A., Braha, D., & Bar-Yam, Y. (eds.) Unifying Themes in Complex Systems. Proceedings of the VIII International Conference on Complex Systems. pp. 1494-1508. (PDF)
  • Braze, D., Mencl, W. E., Tabor, W., Pugh, K. R., Constable, R. T., Fulbright, R. K., Magnuson, J. S., Van Dyke, J. A., & Shankweiler, D. P. (in press). Unification of Sentence Processing via Ear and Eye: An fMRI Study. Cortex. (PDF)
  • Tabor, W. (2009). A dynamical systems perspective on the relationship between symbolic and non-symbolic computation. Cognitive Neurodynamics, 3(4): 415-427. (PDF)
  • Henin, J., Accorsi, E., Cho, P., & Tabor, W. (2009). Extraordinary Natural Ability: Anagram Solution as an Extension of Normal Reading Ability. In the Proceedings of the 31st Annual Meeting of the Cognitive Science Society. Mahwah, New Jersey: Lawrence Erlbaum Associates. (PDF).
  • Tabor, W. (2009). Dynamical Insight into Structure in Connectionist Models. In Spencer, J. P., Thomas, M. S. C., and McClelland, J. L., Toward a Unified Theory of Development. Connectionism and Dynamic Systems Theory Re-considered, (pp. 165-181). Oxford: Oxford University Press. (PDF).
  • Braze, D., Tabor, W., Shankweiler, D., & Mencl, W. E. (2007). Speaking up for Vocabulary: Reading Skill Differences in Young Adults. Journal of Learning Disabilities 40(3): 226-243. (PDF).
  • Tabor, W. & Terhesiu, D. (2004). On the Relationship between Symbolic and Neural Computation. AAAI Fall 2004 Symposium Series Technical Report. (PDF). Proof of an independence assumption associated with this paper (PDF).
  • Tabor, W., Galantucci, B., & Richardson, D. (2004). Effects of Merely Local Syntactic Coherence on Sentence Processing. Journal of Memory and Language 50(4), 355-370. (PDF)
  • Tabor, W. & Hutchins, S. (2004). Evidence for Self-Organized Sentence Processing: Digging In Effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(2): 431-450. (PDF)
  • Tabor, W. (2003). Learning Exponential State-Growth Languages by Hill Climbing. IEEE Transactions on Neural Networks, 14(2): 444-446. (PDF, Matlab Code)
  • Tabor, W. (2002). The Value of Symbolic Computation. Ecological Psychology, 14(1/2): 21-51. (PDF)
  • Tabor. W. (2001). Dynamical Assessment of Symbolic Processes with Backprop Nets. Proceedings of the INNS-IEEE International Joint Conference on Artificial Neural Networks (IJCNN). IEEE. (PDF)
  • Tabor, W. (2001). Sentence Processing and Linguistic Structure. In Kremer, S. and Kolen, J. (Eds.), Field Guide to Dynamical Recurrent Networks. IEEE Press. (37 pages) (PDF)
  • Tabor, W. and Tanenhaus, M. K. (2001) Dynamical systems for sentence processing. Christiansen, M.H. & Chater, N. Connectionist Psycholinguistics: Capturing the empirical data. Trends in Cognitive Sciences. (66 pages) (PDF)
  • Tabor, W. & Hutchins, S. (2000). Mapping the syntax/semantics coastline. In L. Gleitman & A. Joshi (Eds.), {Proceedings of the 22nd Annual Meeting of the Cognitive Science Society} (pp. 511-516), Mahhwah, New Jersey: Lawrence Erlbaum Associates. (6 pages). (request pdf: email
  • Tabor, W. & Galantucci, B. (2000). Ungrammatical influences: evidence for dynamical language processing. In L. Gleitman & A. Joshi (Eds.), Proceedings of the 22nd Annual Meeting of the Cognitive Science Society (pp. 505–510), Mahhwah, New Jersey: Lawrence Erlbaum Associates. (6 pages). (PDF).
  • Tabor, W. (2000). Fractal encoding of context-free grammars in connectionist networks. Expert Systems: The International Journal of Knowledge Engineering and Neural Networks, 17(1), 41-56. (PDF)
  • Tabor, W. and Tanenhaus, M. K. (1999) Dynamical Models of Sentence Processing . Cognitive Science, 23(4), 491-515. (44 pages) (PDF)
  • Tabor, W. (1998). Dynamical Automata. Technical Report No. TR98-1694, Cornell Computer Science Department. (PDF) Also available at
  • Tabor, W. and Traugott, E. C. (1998) Structural Scope Expansion and Grammaticalization. In Anna Giacolone Ramat and Paul Hopper, eds. The Limits of Grammaticalization. Amsterdam: John Benjamins. (40 pages) (Request paper copy: email
  • Tabor, W., Juliano, C. and Tanenhaus, M. K. (1997). Parsing in a dynamical system: An attractor-based account of the interaction of lexical and structural constraints in sentence processing. Language and Cognitive Processes, v. 12, no. 2/3, pp. 211–271. (PDF)
  • Tabor, W., Juliano, C. and Tanenhaus, M. K. (1996) A Dynamical System for Language Processing. In the proceedings of the 18th annual Cognitive Science Conference (1996). (6 pages) (Request paper copy by sending mail to
  • Tabor, W. (1995) Lexical Change as Nonlinear Interpolation. In Proceedings of the 17th Annual Cognitive Science Conference. J. D. Moore and J. F. Lehman, eds. Hillsdale, NJ: Lawrence Erlbaum Associates. (6 pages) (PDF)
  • Tabor, W. (1994b) Syntactic Innovation: A Connectionist Model, Stanford University dissertation. (120 pages) (PDF)
  • Tabor, W. (1994a) The Gradual Development of Degree Modifier Sort of and Kind of. In K. Beals et al., eds., Proceedings of the 29th Regional Meeting of the Chicago Linguistic Society. (15 pages) (Request paper copy: email
  • Tabor, W. (1993) Auxiliary Coalescence in Chichewa: Mismatch Not Required. In J. Mead, ed., Proceedings of the 11th West Coast Conference on Formal Linguistics. (16 pages) (Request paper copy: email