Manuscripts
- Smith, N. J. (submitted). ZS: A
file format for efficiently distributing, using, and archiving
record-oriented data sets of any size.
(draft PDF)
Publications
- Abend, O., Kwiatkowski, T., Smith,
N. J., Goldwater, S., & Steedman, M. (2017). Bootstrapping Language
Acquisition.
Cognition, 164, 116-143.
(DOI, PDF)
- Smith, N. J., & Kutas,
M. (2015). Regression-based estimation of ERP waveforms: I. The
rERP framework.
Psychophysiology, 52(2), 157-168.
(PDF)
- Smith, N. J., & Kutas,
M. (2015). Regression-based estimation of ERP waveforms:
II. Non-linear effects, overlap correction, and practical
considerations.
Psychophysiology, 52(2), 169-189.
(PDF (including
supplementary information))
- Smith, N. J., Goodman, N. D., & Frank,
M. C. (2013). Learning and using language via recursive
pragmatic reasoning about other agents. In C. J. C. Burges and L. Bottou and
M. Welling and Z. Ghahramani and K. Q. Weinberger (Eds.),
Advances in neural information
processing systems (NIPS) 26 (pp. 3039-3047).
(paper
PDF, poster PDF)
- Smith, N. J.
(in press). Blending across modalities in mathematical discourse. In
L. D. Edwards, F. Ferrara, & D. Moore-Russo (Eds.),
Emerging
perspectives in gesture and embodiment in mathematics. Charlotte,
NC: Information Age Publishing.
(final
manuscript PDF)
- Burns, M. D., Bigdely-Shamlo, N., Smith,
N. J., Kreutz-Delgado, K., & Makeig, S. (2013). Comparison of Averaging
and Regression Techniques for Estimating Event Related Potentials. In
IEEE Engineering in Biology and Medicine Conference, Osaka,
Japan.
(PDF)
- Smith, N. J., & Levy, R. (2013). The
effect of word predictability on reading time is
logarithmic.
Cognition, 128(3), 302-319.
(PDF)
- Smith, N. J., & Levy, R. (2011). Cloze
but no cigar: The complex relationship between cloze, corpus, and
subjective probabilities in language processing. In L. Carlson,
C. Hölscher, & T. Shipley (Eds.),
Proceedings of the 33rd Annual
Conference of the Cognitive Science Society (pp. 1637-1642). Austin,
TX: Cognitive Science Society.
(PDF)
- Kutas, M., DeLong, K., & Smith, N. J.
(2011). A look around at what lies ahead: Prediction and predictability
in language processing. In M. Bar (Ed.),
Predictions in the Brain
(pp. 190–207). Oxford, Oxford University Press.
(PDF)
- Smith, N. J., & Levy, R. (2010). Fixation
durations in first-pass reading reflect uncertainty about word
identity. In S. Ohlsson & R. Catrambone (Eds.),
Proceedings of the
32nd Annual Conference of the Cognitive Science Society
(pp. 1313–1318). Austin, TX: Cognitive Science Society.
(PDF)
- Smith, N. J., Chan, W., & Levy,
R. (2010). Is perceptual acuity asymmetric in isolated word recognition?
Evidence from an ideal-observer reverse-engineering approach. In
S. Ohlsson & R. Catrambone (Eds.),
Proceedings of the 32nd Annual
Conference of the Cognitive Science Society (pp. 1483–1488). Austin,
TX: Cognitive Science Society.
(PDF)
- Smith, N. J., & Levy, R. (2008). Optimal
processing times in reading: a formal model and empirical
investigation. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.),
Proceedings of the 30th Annual Meeting of the Cognitive Science
Society (pp. 595–600). Austin, TX: Cognitive Science Society.
(PDF)
Theses
- Smith, N. J. (2011).
Scaling up
psycholinguistics. (Unpublished PhD thesis). UC San Diego, La Jolla,
CA.
(PDF)
- Smith, N. J. (2003).
Gesture and
beyond. (Unpublished undergraduate thesis). UC Berkeley, Berkeley,
CA.
(PDF, supplementary videos)
Posters available for download
- Smith, N. J., & Levy, R. (2010,
March).
Fixation durations in first-pass reading reflect uncertainty
about word identity. Poster presented at the CUNY conference on
sentence processing, New York, NY.
(PDF)
- Smith, N. J., & Narayan, S. (2007,
June).
Fidgeting is not random: Rhythmic leg motion, speech, and
gesture. Poster presented at Integrating Gestures, Evanston, IL.
(PDF)
Talks online
- Smith, N. J.. (2016,
July).
Reinventing the .whl: New Developments in the Upstream Python
Packaging Ecosystem Talk presented at SciPy 2016, Austin, TX.
(video)
- Smith, N. J. and van
der Walt, S. (2015, July).
How we designed a new default colormap
for Matplotlib (and you can too). Talk presented at SciPy 2015,
Austin, TX.
(video)