References
- Adachi, Y., Shimogawara, M., Higuchi, M., Haruta, Y., & Ochiai, M. (2001). Reduction of non-periodic environmental magnetic noise in MEG measurement by continuously adjusted least squares method. IEEE Transactions on Appiled Superconductivity, 11(1), 669–672. doi: 10.1109/77.919433
- Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. doi: 10.1109/TAC.1974.1100705
- Arai, M., & Keller, F. (2013). The use of verb-specific information for prediction in sentence processing. Language and Cognitive Processes, 28(4), 525–560. doi: 10.1080/01690965.2012.658072
- Baayen, R. H. (1995). The CELEX lexical database (release 2). Philadelphia: Linguistic Data.
- Baayen, R. H., Feldman, L. B., & Schreuder, R. (2006). Morphological influences on the recognition of monosyllabic monomorphemic words. Journal of Memory and Language, 55(2), 290–313. doi: 10.1016/j.jml.2006.03.008
- Baayen, R. H., Milin, P., Đurđević, D. F., Hendrix, P., & Marelli, M. (2011). An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review, 118(3), 438–481. doi: 10.1037/a0023851
- Baayen, R. H., Wurm, L. H., & Aycock, J. (2007). Lexical dynamics for low-frequency complex words: A regression study across tasks and modalities. The Mental Lexicon, 2(3), 419–463. doi: 10.1075/ml.2.3.06baa
- Balota, D. A., Yap, M. J., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., … Treiman, R. (2007). The English lexicon project. Behavior Research Methods, 39(3), 445–459. doi: 10.3758/BF03193014
- Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. doi: 10.18637/jss.v067.i01
- Bemis, D. K., & Pylkkänen, L. (2011). Simple composition: A magnetoencephalography investigation into the comprehension of minimal linguistic phrases. Journal of Neuroscience, 31(8), 2801–2814. doi: 10.1523/JNEUROSCI.5003-10.2011
- Binney, R. J., Parker, G. J., & Lambon Ralph, M. A. (2012). Convergent connectivity and graded specialization in the rostral human temporal lobe as revealed by diffusion-weighted imaging probabilistic tractography. Journal of Cognitive Neuroscience, 24(10), 1998–2014. doi: 10.1162/jocn_a_00263
- Bresnan, J. W. (1970). On complementisers: Toward a syntactic theory of complement types. Foundations of Language, 6(3), 297–321.
- Bresnan, J. W. (1972). Theory of complementation in English syntax (Doctoral dissertation). Massachusetts Institute of Technology.
- Buchanan, L., Westbury, C., & Burgess, C. (2001). Characterizing semantic space: Neighborhood effects in word recognition. Psychonomic Bulletin & Review, 8(3), 531–544. doi: 10.3758/BF03196189
- Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82(6), 407. doi: 10.1037/0033-295X.82.6.407
- Dale, A. M., Liu, A. K., Fischl, B. R., Buckner, R. L., Belliveau, J. W., Lewine, J. D., & Halgren, E. (2000). Dynamic statistical parametric mapping: Combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron, 26(1), 55–67. doi: 10.1016/S0896-6273(00)81138-1
- Dambacher, M., Kliegl, R., Hofmann, M., & Jacobs, A. M. (2006). Frequency and predictability effects on event-related potentials during reading. Brain Research, 1084(1), 89–103. doi: 10.1016/j.brainres.2006.02.010
- DeLong, K. A., Urbach, T. P., & Kutas, M. (2005). Probabilistic word pre-activation during language comprehension inferred from electrical brain activity. Nature Neuroscience, 8(8), 1117–1121. doi: 10.1038/nn1504
- Demonet, J.-F., Chollet, F., Ramsay, S., Cardebat, D., Nespoulous, J.-L., Wise, R., … Frackowiak, R. (1992). The anatomy of phonological and semantic processing in normal subjects. Brain, 115(6), 1753–1768. doi: 10.1093/brain/115.6.1753
- Dikker, S., & Pylkkänen, L. (2013). Predicting language: MEG evidence for lexical preactivation. Brain and Language, 127(1), 55–64. doi: 10.1016/j.bandl.2012.08.004
- Dikker, S., Rabagliati, H., Farmer, T. A., & Pylkkänen, L. (2010). Early occipital sensitivity to syntactic category is based on form typicality. Psychological Science : A Journal of the American Psychological Society, 21(5), 629–634. doi: 10.1177/0956797610367751
- Dikker, S., Rabagliati, H., & Pylkkänen, L. (2009). Sensitivity to syntax in visual cortex. Cognition, 110(3), 293–321. doi: 10.1016/j.cognition.2008.09.008
- Dronkers, N. F., Wilkins, D. P., Van Valin, R. D., Redfern, B. B., & Jaeger, J. J. (2004). Lesion analysis of the brain areas involved in language comprehension. Cognition, 92(1-2), 145–177. doi: 10.1016/j.cognition.2003.11.002
- Farmer, T. A., Christiansen, M. H., & Monaghan, P. (2006). Phonological typicality influences on-line sentence comprehension. Proceedings of the National Academy of Sciences of the United States of America, 103(32), 12203–12208. doi: 10.1073/pnas.0602173103
- Federmeier, K. D. (2007). Thinking ahead: The role and roots of prediction in language comprehension. Psychophysiology, 44(4), 491–505. doi: 10.1111/j.1469-8986.2007.00531.x
- Friederici, A. D. (2002). Towards a neural basis of auditory sentence processing. Trends in Cognitive Sciences, 6(2), 78–84. doi: 10.1016/S1364-6613(00)01839-8
- Friedman, L., & Wall, M. (2005). Graphical views of suppression and multicollinearity in multiple linear regression. The American Statistician, 59(2), 127–136. doi: 10.1198/000313005X41337
- Fruchter, J., Linzen, T., Westerlund, M., & Marantz, A. (2015). Lexical preactivation in basic linguistic phrases. Journal of Cognitive Neuroscience, 27(103), 1912–1935. doi: 10.1162/jocn_a_00822
- Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., … Hämäläinen, M. (2013). MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience, 7(267).
- Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., … Hämäläinen, M. S. (2014). MNE software for processing MEG and EEG data. Neuroimage, 86, 446–460. doi: 10.1016/j.neuroimage.2013.10.027
- Grimshaw, J. (1979). Complement selection and the lexicon. Linguistic Inquiry, 10(2), 279–326.
- Gwilliams, L, Lewis, G. A., & Marantz, A. (2016). Functional characterisation of letter-specific responses in time, space and current polarity using magnetoencephalography. NeuroImage, 132, 320–333. doi: 10.1016/j.neuroimage.2016.02.057
- Halle, M., & Marantz, A. (1993). Distributed morphology and the pieces of inflection. In Ken Hale & Samuel Keyser (Eds.), The View From Building 20: Essays in Honor of Sylvain Bromberger (pp. 111–176).
- Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews. Neuroscience, 8(5), 393–402. doi: 10.1038/nrn2113
- Kelly, M. H. (1992). Using sound to solve syntactic problems: The role of phonology in grammatical category assignments. Psychological Review, 99(2), 349–364. doi: 10.1037/0033-295X.99.2.349
- Kelly, M. H., & Bock, J. K. (1988). Stress in time. Journal of Experimental Psychology: Human Perception and Performance, 14(3), 389–403.
- Korhonen, A., Krymolowski, Y., & Briscoe, T. (2006). A large subcategorization lexicon for natural language processing applications. Proceedings of LREC, 6, 1015–1020.
- Kuznetsova, A., Brockhoff, P. B., & Christensen, R. P. B. (2016). lmerTest: Tests in linear mixed effects models. R package version 2.0-30. Retrieved from https://CRAN.R-project.org/package=lmerTest
- Lau, E., Stroud, C., Plesch, S., & Phillips, C. (2006). The role of structural prediction in rapid syntactic analysis. Brain and Language, 98(1), 74–88. doi: 10.1016/j.bandl.2006.02.003
- Linzen, T. (2015). Probabilistic linguistic representations: Between learning and processing (Unpublished doctoral dissertation). New York University, New York City.
- Linzen, T., & Jaeger, T. F. (2015). Uncertainty and expectation in sentence processing: Evidence from subcategorization distributions. Cognitive Science, 40(6), 1382–1411. doi: 10.1111/cogs.12274
- Linzen, T., Marantz, A., & Pylkkanen, L. (2013). Syntactic context effects in visual word recognition: An MEG study. The Mental Lexicon, 8(2), 117–139. doi: 10.1075/ml.8.2.01lin
- Lumley, T. using Fortran code by Alan Miller. (2009). Leaps: Regression subset selection. R package version 2.9. Retrieved from http://CRAN.R-project.org/package=leaps
- Maris, E., & Oostenveld, R. (2007). Nonparametric statistical testing of EEG- and MEG-data. Journal of Neuroscience Methods, 164(1), 177–190. doi: 10.1016/j.jneumeth.2007.03.024
- Medler, D. A., & Binder, J. R. (2005). MCWord: An on-line orthographic database of the English language.
- Meltzer-Asscher, A., Mack, J. E., Barbieri, E., & Thompson, C. K. (2015). How the brain processes different dimensions of argument structure complexity: Evidence from fMRI. Brain and Language, 142(April 2016), 65–75. doi: 10.1016/j.bandl.2014.12.005
- Miller, G. A. (1995). Wordnet: A lexical database for English. Communications of the ACM, 38(11), 39–41. doi: 10.1145/219717.219748
- Okada, K., & Hickok, G. (2006). Identification of lexical-phonological networks in the superior temporal sulcus using functional magnetic resonance imaging. Neuroreport, 17(12), 1293–1296. doi: 10.1097/01.wnr.0000233091.82536.b2
- Quillian, M. R. (1967). Word concepts: A theory and simulation of some basic semantic capabilities. Systems Research and Behavioral Science, 12(5), 410–430. doi: 10.1002/bs.3830120511
- Rastle, K., Harrington, J., & Coltheart, M. (2002). 358,534 nonwords: The ARC nonword database. The Quarterly Journal of Experimental Psychology Section A, 55(4), 1339–1362. doi: 10.1080/02724980244000099
- R Core Team. (2015). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Retrieved from URL http://www.R-project.org/
- Rodd, J., Gaskell, G., & Marslen-Wilson, W. (2002). Making sense of semantic ambiguity: Semantic competition in lexical access. Journal of Memory and Language, 46(2), 245–266. doi: 10.1006/jmla.2001.2810
- Sereno, J. A., & Jongman, A. (1990). Phonological and form class relations in the lexicon. Journal of Psycholinguistic Research, 19(6), 387–404. doi: 10.1007/BF01068886
- Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423. doi: 10.1002/j.1538-7305.1948.tb01338.x
- Sharpe, V., & Marantz, A. (2018). Revisiting form typicality of nouns and verbs: A usage-based approach. The Mental Lexicon, 12(2), 159–180. doi: 10.1075/ml.17004.sha
- Shibata, R. (1981). An optimal selection of regression variables. Biometrika, 68(1), 45–54. doi: 10.1093/biomet/68.1.45
- Tabak, W., Schreuder, R., & Baayen, R. H. (2005). Lexical statistics and lexical processing: Semantic density, information complexity, sex, and irregularity in Dutch. In S. Kepser, & M. Reis (Eds.), Linguistic evidence: Empirical, theoretical, and computational perspectives (pp. 529–555). Berlin: Mouton de Gruyter.
- Tarkiainen, A., Helenius, P., Hansen, P. C., Cornelissen, P. L., & Salmelin, R. (1999). Dynamics of letter string perception in the human occipitotemporal cortex. Brain, 122(11), 2119–2132. doi: 10.1093/brain/122.11.2119
- Thompson, C. K., Bonakdarpour, B., Fix, S. C., Blumenfeld, H. K., Parrish, T. B., Gitelman, D. R., & Mesulam, M. M. (2007). Neural correlates of verb argument structure processing. Journal of Cognitive Neuroscience, 19(11), 1753–1767. doi: 10.1162/jocn.2007.19.11.1753
- Williams, A., Reddigari, S., & Pylkkänen, L. (2017). Early sensitivity of left perisylvian cortex to relationality in nouns and verbs. Neuropsychologia, 100, 131–143. doi: 10.1016/j.neuropsychologia.2017.04.029
- Wilson, M. P., & Garnsey, S. M. (2009). Making simple sentences hard: Verb bias effects in simple direct object sentences. Journal of Memory and Language, 60(3), 368–392. doi: 10.1016/j.jml.2008.09.005
- Wurm, L. H., Ernestus, M. T. C., Schreuder, R., & Baayen, R. H. (2006). Dynamics of the auditory comprehension of prefixed words: Cohort entropies and conditional root uniqueness points. The Mental Lexicon, 1(1), 125–146. doi: 10.1075/ml.1.1.08wur
- Wurm, L. H., & Fisicaro, S. A. (2014). What residualizing predictors in regression analyses does (and what it does not do). Journal of Memory and Language, 72, 37–48. doi: 10.1016/j.jml.2013.12.003