Article published In:
The Mental Lexicon
Vol. 11:1 (2016) ► pp.115160
Abbot-Smith, K., & Tomasello, M
(2006) Exemplar-learning and schematization in a usage-based account of syntactic acquisition. The Linguistic Review, 231, 275–290. DOI logoGoogle Scholar
Allen, K., Pereira, F., Botvinick, M., & Goldberg, A.E.
(2012) Distinguishing grammatical constructions with fMRI pattern analysis. Brain and Language, 123(3), 174–182. DOI logoGoogle Scholar
Arbib, M.A., & Lee, J
(2008) Describing visual scenes: Towards a neurolinguistics based on construction grammar. Brain Research, 12251, 146–162. DOI logoGoogle Scholar
Arnon, I., & Snider, N
(2010) More than words: Frequency effects for multi-word phrases. Journal of Memory and Language, 621, 67–82. DOI logoGoogle Scholar
Baayen, R.H.
(2010) A real experiment is a factorial experiment? The Mental Lexicon, 5(1), 149–157. DOI logoGoogle Scholar
Baayen, R.H., Hendrix, P., & Ramscar, M
(2013) Sidestepping the combinatorial explosion: An explanation of N-gram frequency effects based on naive discriminative learning. Language and Speech, 56(3), 329–347. DOI logoGoogle Scholar
Bajada, C.J., Ralph, M.A.L., & Cloutman, L.L.
(2015) Transport for language South of the Sylvian Fissure: The routes and history of the main tracts and stations in the ventral language network. Cortex, 691, 141–151. DOI logoGoogle Scholar
Bannard, C., & Matthews, D
(2008) Stored word sequences in language learning: The effect of familiarity on children’s repetition of four-word combinations. Psychological Science, 191, 241–248. DOI logoGoogle Scholar
Bardouille, T., & Bow, S
(2012) State-related changes in MEG functional connectivity reveal the task-positive sensorimotor network. PLoS One, 71, 1–8. DOI logoGoogle Scholar
Bell, A., Brenier, J.M., Gregory, M., Girand, C., & Jurafsky, D
(2009) Predictability effects on durations of content and function words in conversational English. Journal of Memory and Language, 601, 92–111. DOI logoGoogle Scholar
Bemis, D.K., & Pylkkänen, L
(2012) Basic linguistic composition recruits the left anterior temporal lobe and left angular gyrus during both listening and reading. Cerebral Cortex, bhs170.Google Scholar
(2013) Flexible composition: MEG evidence for the deployment of basic combinatorial linguistic mechanisms in response to task demands. PloS One, 81, e73949. DOI logoGoogle Scholar
Bien, H., Baayen, H.R., & Levelt, W.J.M
(2011) Frequency effects in the production of Dutch deverbal adjectives and inflected verbs. In R. Bertram, J. Hyönä, & M. Laine (Eds.), Morphology in language comprehension, production and acquisition (pp. 683–715). London: Psychology Press.Google Scholar
Binder, J., Desai, R., Graves, W., & Conant, L
(2009, DEC). Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cerebral Cortex, 191, 2767–2796. DOI logoGoogle Scholar
Binney, R.J., Parker, G.J.M., & 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, 241, 1998–2014. DOI logoGoogle Scholar
Bock, J
(1986) Meaning, sound, and syntax - Lexical priming in sentence production. Journal of Experimental Psychology-Learning Memory and Cognition, 121, 575–586. DOI logoGoogle Scholar
Bonaiuto, J. & Arbib, M.A
(2010) Extending the mirror neuron system model, II: what did I just do? A new role for mirror neurons. Biological Cybernetics, 1021, 341–59. DOI logoGoogle Scholar
Bonner, M.F., Peelle, J.E., Cook, P.A., & Grossman, M
(2013) Heteromodal conceptual processing in the angular gyrus. NeuroImage, 711, 175–186. DOI logoGoogle Scholar
Bornkessel, I., Zysset, S., Friederici, A.D., von Cramon, D.Y., & Schlesewsky, M
(2005) Who did what to whom? The neural basis of argument hierarchies during language comprehension. NeuroImage, 261, 221–233. DOI logoGoogle Scholar
Brennan, J., Nir, Y., Hasson, U., Malach, R., Heeger, D., & Pylkkänen, L
(2012) Syntactic structure building in the anterior temporal lobe during natural story listening. Brain and Language, 1201, 163–173. DOI logoGoogle Scholar
Brookes, M.J., Woolrich, M., Luckhoo, H., Price, D., Hale, J.R., Stephenson, M.C., Barnes, G.R., Smith, S.M., & Morris, P.G.
(2011) Investigating the electrophysiological basis of resting state networks using magnetoencephalography. Procedings of the National Academy of Sciences of the United States of America, 1081, 16783–16788. DOI logoGoogle Scholar
Bybee, J., & McClelland, J.L.
(2005) Alternatives to the combinatorial paradigm of linguistic theory based on domain general principles of human cognition. The Linguistic Review, 221, 381–410. DOI logoGoogle Scholar
Caplan, D., Chen, E., & Waters, G
(2008) Task-dependent and task-independent neurovascular responses to syntactic processing. Cortex, 441, 257–275. DOI logoGoogle Scholar
Catani, M., Jones, D., & Fytche, D
(2005) Perisylvian language networks of the human brain. Annals of Neurology, 571, 8–16. DOI logoGoogle Scholar
Catani, M., Mesulam, M.M., Jakobsen, E., Malik, F., Matersteck, A., Wieneke, C., Thompson, C.K., Thiebaut de Schotten, M., Dell’Acqua, F., Weintraub, S., & Rogalski, E
(2013) A novel frontal pathway underlies verbal fluency in primary progressive aphasia. Brain, awt163, 2619–2628. DOI logoGoogle Scholar
Cohen, J
(1983) The cost of dichotomization. Applied Psychological Measurement, 71, 249–253. DOI logoGoogle Scholar
Columbus, G
(2010) Processing MWUs: Are MWU subtypes psycholinguistically real? In D. Wood (Ed.), Perspectives on formulaic language: Acquisition and communication (pp. 194–212). London and New York: Continuum.Google Scholar
(2012) An analysis of the processing of multiword units in sentence reading and unit presentation using eye movement data: Implications for theories of mwus. PhD dissertation, University of Alberta, Edmonton, Canada.Google Scholar
Culicover, P.W., & Jackendoff, R
(2005) Simpler syntax. Oxford, UK: Oxford University Press. DOI logoGoogle Scholar
De Cat, C., Klepousniotou, E., & Baayen, R.H.
(2015) Representational deficit or processing effect? An electrophysiological study of noun-noun compound processing by very advanced L2 speakers of English. Frontiers in Psychology, 61, 77 DOI logoGoogle Scholar
Dehaene‐Lambertz, G., Dehaene, S., Anton, J.L., Campagne, A., Ciuciu, P., Dehaene, G.P., Denghien, I., Jobert, A., Lebihan, D., Sigman, M., Pallier, C., & Poline, J.B.
(2006) Functional segregation of cortical language areas by sentence repetition. Human Brain Mapping, 271, 360–371. DOI logoGoogle Scholar
Del Prato, P., & Pylkkanen, L
(2014) MEG evidence for conceptual combination but not numeral quantification in the left anterior temporal lobe during language production. Language Sciences, 51, 524.Google Scholar
den Ouden, D.B., Saur, D., Mader, W., Schelter, B., Lukic, S., Wali, E., Timmer, J., & Thompson, C.K.
(2012) Network modulation during complex syntactic processing. NeuroImage, 591, 815–823. DOI logoGoogle Scholar
Dikker, S., & Pylkkänen, L
(2013) Predicting language: MEG evidence for lexical preactivation. Brain and language, 1271, 55–64. DOI logoGoogle Scholar
Dronkers, N., Wilkins, D., Van Jr., V., Redfern, B., & Jaeger, J.J.
(2004) Lesion analysis of the brain areas involved in language comprehension. Cognition, 921, 145–177. DOI logoGoogle Scholar
Duffau, H., Moritz-Gasser, S., & Mandonnet, E
(2014) A re-examination of the neural basis of language processing: Proposal of a dynamic hodotopical model from data provided by brain stimulation mapping during picture naming. Brain and Language, 1311, 1–10. DOI logoGoogle Scholar
Ellis, N.C., & Simpson-Vlach, R (2009) Formulaic language in native speakers: Triangulating psycholinguistics, corpus linguistics, and education. Corpus Linguistics and Linguistic Theory, 5(1), 61–78. DOI logoGoogle Scholar
Elman, J.L.
(2009) On the meaning of words and dinosaur bones: Lexical knowledge without a lexicon. Cognitive Science, 331, 547–582. DOI logoGoogle Scholar
Embick, D., Hackl, M., Schaeffer, J., Kelepir, M., & Marantz, A
(2001) A magnetoencephalographic component whose latency reflects lexical frequency. Cognitive Brain Research, 101, 345–348. DOI logoGoogle Scholar
Erickson, L.C., Zielinski, B.A., Zielinski, J.E., Liu, G., Turkeltaub, P.E., Leaver, A.M., & Rauschecker, J.P. (2014) Distinct cortical locations for integration of audiovisual speech and the McGurk effect. Language Sciences, 51, 534.Google Scholar
Faraway, J.J.
(2006) Extending linear models with R: Generalized linear, mixed effects and nonparametric regression models. Boca Raton, FL: Chapman & Hall/CRC.Google Scholar
Fedorenko, E., Duncan, J., & Kanwisher, N
(2012) Language-selective and domain-general regions lie side by side within Broca’s area. Current Biology, 221, 2059–2062. DOI logoGoogle Scholar
Fornito, A., Zalesky, A., & Breakspear, M
(2013) Graph analysis of the human connectome: Promise, progress, and pitfalls. NeuroImage 801, 426–444. DOI logoGoogle Scholar
Goldberg, A.E.
(2003) Constructions: A new theoretical approach to language. Trends in Cognitive Science, 7(5), 219–224. DOI logoGoogle Scholar
Goldberg, A
(2006) Constructions at work: the nature of generalization in language. Oxford, UK: Oxford University Press.Google Scholar
Gregory, M.L., Raymond, W.D., Bell, A., Fosler-Lussier, E., & Jurafsky, D
(1999) The effects of collocational strength and contextual predictability in lexical production. CLS–99, 351, 151–166.Google Scholar
Grewe, T., Bornkessel-Schlesewsky, I., Zysset, S., Wiese, R., von Cramon, D.Y., & Schlesewsky, M
(2007) The role of the posterior superior temporal sulcus in the processing of unmarked transitivity. NeuroImage, 351, 343–352. DOI logoGoogle Scholar
Griffiths, J.D., Marslen-Wilson, W.D., Stamatakis, E.A., & Tyler, L.K.
(2013) Functional organization of the neural language system: Dorsal and ventral pathways are critical for syntax. Cerebral Cortex, 231, 139–147. DOI logoGoogle Scholar
Grill-Spector, K., Henson, R., & Martin, A
(2006) Repetition and the brain: Neural models of stimulus-specific effects. Trends in Cognitive Sciences, 101, 14–23. DOI logoGoogle Scholar
Hagoort, P (2005) On Broca, brain, and binding: A new framework. Trends in Cognitive Science, 91, 416–423. DOI logoGoogle Scholar
(2013) MUC (Memory, Unification, Control) and beyond. Frontiers in Psychology, 41. DOI logoGoogle Scholar
Haller, S., Klarhoefer, M., Schwarzbach, J., Radue, E.W., & Indefrey, P
(2007) Spatial and temporal analysis of fMRI data on word and sentence reading. European Journal of Neuroscience, 261, 2074–2084. DOI logoGoogle Scholar
Hansen, P.C., Kringelbach, M.L., & Salmelin, R
(2010) MEG: An introduction to methods. Oxford, UK: Oxford University Press. DOI logoGoogle Scholar
Hastie, T., & Tibshirani, R
(1990) Generalized additive model regression. New York, NY: Chapman & Hall.Google Scholar
Hebb, D.O.
(1949) The organization of behavior. New York, NY: Wiley & Sons.Google Scholar
Hein, G., & Knight, R.T.R.T
(2008) Superior temporal sulcus – it’s my area: Or is it? Journal of Cognitive Neuroscience, 201, 2125–2136. DOI logoGoogle Scholar
Hendrix, P
(2009) Electrophysiological effects in language production: A picture naming study using generalized additive modeling. MA dissertation, Radboud University, Nijmegen, the Netherlands.Google Scholar
Herrmann, B., Maess, B., Hahne, A., Schröger, E., & Friederici, A.D.
(2011) Syntactic and auditory spatial processing in the human temporal cortex: An MEG study. NeuroImage, 571, 624–633. DOI logoGoogle Scholar
Hickok, G., & Poeppel, D
(2004) Dorsal and ventral streams: A framework for understanding aspects of the functional anatomy of language. Cognition, 921, 67–99. DOI logoGoogle Scholar
(2007) The cortical organization of speech processing. Nature Reviews Neuroscience, 81, 393–402. DOI logoGoogle Scholar
Hocking, J., & Price, C.J.
(2008) The role of the posterior superior temporal sulcus in audiovisual processing. Cerebral Cortex, 181, 2439–2449. DOI logoGoogle Scholar
Hurley, R.S., Paller, K.A., Rogalski, E.J., & Mesulam, M.M.
(2012) Neural mechanisms of object naming and word comprehension in primary progressive aphasia. The Journal of Neuroscience, 321, 4848–4855. DOI logoGoogle Scholar
Indefrey, P., Brown, C.M., Hellwig, F., Amunts, K., Herzog, H., & Seitz, R.J.
(2001) A neural correlate of syntactic encoding during speech production. Proceedings of the National Academy of Sciences of the United States of America , 981, 5933–5936.
Indefrey, P., & Levelt, W.J.
(2004) The spatial and temporal signatures of word production components. Cognition, 921, 101–144. DOI logoGoogle Scholar
Jackendoff, R
(2002a) Foundations of language. Oxford, UK: Oxford University Press. DOI logoGoogle Scholar
(2002b) What’s in the lexicon? In S. Nooteboom, F. Weerman, & F. Wijnen (Eds.), Storage and computation in the language faculty (pp. 23–58). Dordrecht, The Netherlands: Kluwer Academic Press. DOI logoGoogle Scholar
(2007) A parallel architecture perspective on language processing. Brain Research, 11461, 2–22. DOI logoGoogle Scholar
(2011) What is the human language faculty: Two views. Language, 871, 586–624. DOI logoGoogle Scholar
Janssen, N., & Barber, H.A.
(2012) Phrase frequency effects in language production. PloS One, 71, e33202. DOI logoGoogle Scholar
Jiang, N., & Nekrasova, T
(2007) The processing of formulaic sequences by second language speakers. The Modern Language Journal, 911, 433–445. DOI logoGoogle Scholar
Jurafsky, D., Bell, M., & Raymond, W
(2001) Probabilistic relations between words: Evidence from reduction in lexical production. In J. Bybee & P. Hopper (Eds.), Frequency and the emergence of linguistic structure (pp. 229–254). Amsterdam: John Benjamins. DOI logoGoogle Scholar
Kapatsinski, V., & Radicke, J
(2009) Frequency and the emergence of prefabs: Evidence from monitoring. In R. Corrigan, E. Moravcsik, H. Ouali, & K. Wheatley (Eds.), Formulaic language, Vol. ii: Acquisition, loss, psychological reality, functional explanations (pp. 499–522). Amsterdam: John Benjamins. DOI logoGoogle Scholar
Keele, L
(2008) Semiparametric regression for the social sciences. New York, NY: Chapman & Hall/CRC.Google Scholar
Keller, F., & Lapata, M
(2003) Using the web to obtain frequencies for unseen bigrams. Journal Computational Linguistics, 291, 459–484. DOI logoGoogle Scholar
Kryuchkova, T., Tucker, B.V., Wurm, L.H., & Baayen, R.H.
(2012) Danger and usefulness are detected early in auditory lexical processing: Evidence from electroencephalography. Brain and Language, 1221, 81–91. DOI logoGoogle Scholar
Lahnakoski, J.M., Glerean, E., Salmi, J., Jääskeläinen, I.P., Sams, M., Hari, R., & Nummenmaa, L
(2012) Naturalistic fMRI mapping reveals superior temporal sulcus as the hub for the distributed brain network for social perception. Frontiers in Human Neuroscience, 61, 233. DOI logoGoogle Scholar
Lamb, S
(1966) Outline of stratificational grammar. Washington, DC: Georgetown University Press.Google Scholar
Lau, E.F., Gramfort, A., Hämäläinen, M.S., & Kuperberg, G.R.
(2013) Automatic semantic facilitation in anterior temporal cortex revealed through multimodal neuroimaging. The Journal of Neuroscience, 331, 17174–17181. DOI logoGoogle Scholar
Levelt, W.J.
(1983) Monitoring and self-repair in speech. Cognition, 141, 41–104. DOI logoGoogle Scholar
Lewis, G., & Poeppel, D
(2014) The role of visual representations during the lexical access of spoken words. Brain and Language, 1341, 1–10. DOI logoGoogle Scholar
Lewis, G., Solomyak, O., & Marantz, A
(2011) The neural basis of obligatory decomposition of suffixed words. Brain and Language, 1181, 118–127. DOI logoGoogle Scholar
Li, L., Miller, E.K., & Desimone, R
(2004) The representation of stimulus familiarity in anterior inferior temporal cortex. Journal of Neuropsychology, 691, 1918–1929.Google Scholar
Llorens, A., Trébuchon, A., Riès, S., Liégeois-Chauvel, C., & Alario, F
(2014) How familiarization and repetition modulate the picture naming network. Brain and Language, 1331, 47–58. DOI logoGoogle Scholar
Lu, Z., & Kaufman, L
(2003) Magnetic source imaging of the human brain. New York, NY: Routledge. DOI logoGoogle Scholar
MacCallum, R., Zhang, S., Preacher, K., & Rucker, D
(2002) On the practice of dichotomization of quantitative variables. Psychological Methods, 71, 19–40. DOI logoGoogle Scholar
Magnusdottir, S., Fillmore, P., den Ouden, D.B., Hjaltason, H., Rorden, C., Kjartansson, O., Bonilha, L., & Fridriksson, J
(2013) Damage to left anterior temporal cortex predicts impairment of complex syntactic processing: A lesion‐symptom mapping study. Human Brain Mapping, 341, 2715–2723. DOI logoGoogle Scholar
Makuuchi, M., Bahlmann, J., Anwander, A., & Friederici, A.D.
(2009) Segregating the core computational faculty of human language from working memory. Proceedings of the National Academy of Sciences , 1061, 8362–8367.
Makuuchi, M., & Friederici, A.D.
(2013) Hierarchical functional connectivity between the core language system and the working memory system. Cortex, 491, 2416–2423. DOI logoGoogle Scholar
Marantz, A
(2005) Generative linguistics within the cognitive neuroscience of language. The Linguistic Review, 221, 429–445. DOI logoGoogle Scholar
Marchini, J., Heaton, C., & Ripley, B
(2012) fastICA: FastICA Algorithms to perform ICA and Projection Pursuit (R package version 1.1-16).Google Scholar
Marek, A., Habets, B., Jansma, B.M., Nager, W., & Muente, T.F.
(2007) Neural correlates of conceptualisation difficulty during the preparation of complex utterances. Aphasiology, 211, 1147–1156. DOI logoGoogle Scholar
Martin, N., Weisberg, R., & Saffran, E
(1989) Variables influencing the occurrence of naming errors – implications for models of lexical retrieval. Journal of Memory and Language, 281, 462–485. DOI logoGoogle Scholar
Mei, L., Xue, G., Lu, Z-L., He, Q., Zhang, M., et al.
(2014) Artificial language training reveals the neural substrates underlying addressed and assembled phonologies. PLoS ONE, 91, e93548. DOI logoGoogle Scholar
Mesulam, M.M.
(1998) From sensation to cognition. Brain, 1211, 1013–1052. DOI logoGoogle Scholar
Mesulam, M., Rogalski, E., Wieneke, C., Cobia, D., Rademaker, A., Thompson, C., & Weintraub, S
(2009) Neurology of anomia in the semantic variant of primary progressive aphasia. Brain, awp138, 132(9), 2553–2565. DOI logoGoogle Scholar
Mesulam, M.M., Wieneke, C., Hurley, R., Rademaker, A., Thompson, C.K., Weintraub, S., & Rogalski, E.J.
(2013) Words and objects at the tip of the left temporal lobe in primary progressive aphasia. Brain, 1361, 601–618. DOI logoGoogle Scholar
Meyer, C.F., Grabowski, R., Han, H.-Y., Mantzouranis, K., & Moses, S
(2003) The world wide web as linguistic corpus. In P. Leistyna & C.F. Meyer (Eds.), Language and computers, corpus analysis: Language structure and language use (pp. 241–254). Amsterdam: Rodopi. DOI logoGoogle Scholar
Mion, M., Patterson, K., Acosta-Cabronero, J., Pengas, G., Izquierdo-Garcia, D., Hong, Y.T., Fryer, T.D., Williams, G.B., Hodges, J.R., & Nestor, P.J.
(2010) What the left and right anterior fusiform gyri tell us about semantic memory. Brain, 1331, 3256–3268. DOI logoGoogle Scholar
Motulsky, H., & Christopoulos, A
(2004) Fitting models to biological data using linear and non-linear regression. A practical guide to curve fitting. Oxford, UK: Oxford University Press.Google Scholar
Newman, A.J., Supalla, T., Hauser, P., Newport, E.L., & Bavelier, D
(2010) Dissociating neural subsystems for grammar by contrasting word order and inflection. Proceedings of the National Academy of Sciences , 1071, 7539–7544.
Noonan, K.A., Jefferies, E., Visser, M., & Lambon Ralph, M.A
(2013) Going beyond inferior prefrontal involvement in semantic control: evidence for the additional contribution of dorsal angular gyrus and posterior middle temporal cortex. Journal of Cognitive Neuroscience, 251:1824–1850. DOI logoGoogle Scholar
Noppeney, U., & Price, C.J.
(2004) An fMRI study of syntactic adaptation. Journal of Cognitive Neuroscience, 161, 702–713. DOI logoGoogle Scholar
Okada, K., & Hickok, G
(2006) Left posterior auditory-related cortices participate both in speech perception and speech production: Neural overlap revealed by fMRI. Brain and Language, 961, 112–117. DOI logoGoogle Scholar
Oomen, C., & Postma, A
(2001) Effects of time pressure on mechanisms of speech production and self-monitoring. Journal of Psycholinguistic Research, 301, 163–184. DOI logoGoogle Scholar
Patterson, K., Nestor, P.J., & Rogers, T.T.
(2007) Where do you know what you know? The representation of semantic knowledge in the human brain. Nature Reviews Neuroscience, 81, 976–987. DOI logoGoogle Scholar
Price, C
(2010) The anatomy of language: A review of 100 fMRI studies published in 2009. Annals of the New York Academy of Sciences: The Year in Cognitive Neuroscience, 11911, 62–88. DOI logoGoogle Scholar
(2012) A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading. NeuroImage, 151, 816–847. DOI logoGoogle Scholar
Pylkkänen, L., Stringfellow, A., Flagg, E., & Marantz, A
(2000) A neural response sensitive to repetition and phonotactic probability: MEG investigations of lexical access. In Proceedings of Biomag (pp. 363–367).
Pylkkänen, L., Stringfellow, A., & Marantz, A
(2002) Neuromagnetic evidence for the timing of lexical activation: An MEG component sensitive to phonotactic probability but not to neighborhood density. Brain and Language, 811, 666–678. DOI logoGoogle Scholar
Pylkkanen, L., & Marantz, A
(2003) Tracking the time course of word recognition with meg. Trends in Cognitive Sciences, 71, 187–189. DOI logoGoogle Scholar
Pylkkänen, L., Feintuch, S., Hopkins, E., & Marantz, A
(2004) Neural correlates of the effects of morphological family frequency and family size: An MEG study. Cognition, 911, B35–B45. DOI logoGoogle Scholar
Rauschecker, J.P., & Scott, S.K.
(2009) Maps and streams in the auditory cortex: Nonhuman primates illuminate human speech processing. Nature Neuroscience, 121, 718–724. DOI logoGoogle Scholar
R Development Core Team
(2012) R: A language and environment for statistical computing. Vienna, Austria (ISBN 3-900051-07-0).Google Scholar
Roelofs, A., Meyer, A.S., & Levelt, W.J.
(1998) A case for the lemma/lexeme distinction in models of speaking: Comment on Caramazza and Miozzo (1997). Cognition, 69(2), 219–230. DOI logoGoogle Scholar
Saur, D., Kreher, B.W., Schnell, S., Kümmerer, D., Kellmeyer, P., Vry, M.S., Umarova, R., Musso, M., Glauche, V., Abel, S., Huber, W., Rijntjes, M., Hennig, J., & Weiller, C
(2008) Ventral and dorsal pathways for language. Proceedings of the National Academy of Sciences , 1051, 18035–18040.
Segaert, K., Kempen, G., Petersson, K.M., & Hagoort, P
(2013) Syntactic priming and the lexical boost effect during sentence production and sentence comprehension: An fMRI study. Brain and Language, 124(2), 174–183. DOI logoGoogle Scholar
Schwartz, M.F., Kimberg, D.Y., Walker, G.M., Faseyitan, O., Brecher, A., Dell, G.S., & Coslett, H.B.
(2009) Anterior temporal involvement in semantic word retrieval: VLSM evidence from aphasia. Brain, 1321, 3411–3427. DOI logoGoogle Scholar
Sekiguchi, T., Koyama, S., & Kakigi, R
(2000) The effect of word repetition on evoked magnetic responses in the human brain. Japanese Psychological Research, 42(1), 3–14. DOI logoGoogle Scholar
Simon, D.A., Lewis, G., & Marantz, A
(2012) Disambiguating form and lexical frequency effects in MEG responses using homonyms. Language and Cognitive Processes, 271, 275–287. DOI logoGoogle Scholar
Siyanova-Chanturia, A., Conklin, K., & Heuven, W.J.van
(2011) Seeing a phrase “time and again” matters: The role of phrasal frequency in the processing of multiword sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 371, 776–784. DOI logoGoogle Scholar
Solomyak, O., & Marantz, A
(2009) Lexical access in early stages of visual word processing: A single-trial correlational MEG study of heteronym recognition. Brain and Language, 1081, 191–196. DOI logoGoogle Scholar
Sosa, A.V., & MacFarlane, J
(2002) Evidence for frequency-based constituents in the mental lexicon: Collocations involving the word of. Brain and Language, 821, 227–236. DOI logoGoogle Scholar
Taulu, S., & Simola, J
(2006) Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements. Physics in Medicine and Biology, 511, 1759–1768. DOI logoGoogle Scholar
Thelwall, M., & Sud, P
(2012) Webometrics research with the Bing Search API 2.0. Journal of Informetrics, 61, 44–52. DOI logoGoogle Scholar
Tremblay, A
(2009) Processing advantages of lexical bundles: Evidence from self-paced reading, word and sentence recall, and free recall with event-related brain potential recordings. PhD dissertation. University of Alberta.Google Scholar
(2013) icaOcularCorrection: Independent components analysis (ICA) based eye-movement correction (R package version alpha – pre-release).Google Scholar
Tremblay, A., & Baayen, R.H.
(2010) Holistic processing of regular four-word sequences: A behavioral and ERP study of the effects of structure, frequency, and probability on immediate free recall. In D. Wood (Ed.), Perspectives on formulaic language: Acquisition and communication (pp. 151–173). London and New York: Continuum.Google Scholar
Tremblay, A., Derwing, B., Libben, G., & Westbury, C
(2011) Processing advantages of lexical bundles: Evidence from self-paced reading and sentence recall tasks. Language Learning, 611, 569–613. DOI logoGoogle Scholar
Tremblay, A., & Tucker, B.V.
Tremblay, A. & Newman, A.J.
(2015) Modeling non-linear relationships in ERP data using mixed-effects regression with R examples. Psychophysiology, 1–16. DOI logoGoogle Scholar
Troyer, M., O’Donnell, T.J., Fedorenko, E., & Gibson, E
(2011) In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 336–341). Austin, TX: Cognitive Science Society.Google Scholar
Tyler, L.K., Marslen-Wilson, W.D., Randall, B., Wright, P., Devereux, B.J., Zhuang, J., Papoutsi, M., & Stamatakis, E.A.
(2011) Left inferior frontal cortex and syntax: function, structure and behaviour in patients with left hemisphere damage. Brain, 1341, 415–431. DOI logoGoogle Scholar
Ullman, M
(2007) The biocognition of the mental lexicon. In M.G. Gaskell (Ed.), The Oxford handbook of psycholinguistics (pp. 267–286). Oxford: Oxford University Press. Google Scholar
Underwood, G., Schmitt, N., & Galpin, A
(2004) The eyes have it. An eye-movement study into the processing of formulaic sequences. In N. Schmitt (Ed.), Formulaic sequences. Acquisition, processing and use (pp. 153–172). Amsterdam: John Benjamins. DOI logoGoogle Scholar
Vigneau, M., Beaucousin, V., Herve, P., Duffau, H., Crivello, F., & Houde, O
(2006) Meta-analyzing left hemisphere language areas: Phonology, semantics, and sentence processing. NeuroImage, 301, 1414–1432. DOI logoGoogle Scholar
Visser, M., & Ralph, M.L.
(2011) Differential contributions of bilateral ventral anterior temporal lobe and left anterior superior temporal gyrus to semantic processes. Journal of Cognitive Neuroscience, 231, 3121–3131. DOI logoGoogle Scholar
Vrba, J., Taulu, S., Nenonen, J., & Ahonen, A
(2010) Signal space separation beamformer. Brain Topography, 231, 128–133. DOI logoGoogle Scholar
Walker, G.M., Schwartz, M.F., Kimberg, D.Y., Faseyitan, O., Brecher, A., Dell, G.S., & Coslett, H.B.
(2011) Support for anterior temporal involvement in semantic error production in aphasia: New evidence from VLSM. Brain and Language, 1171, 110–122. DOI logoGoogle Scholar
Westerlund, M., & Pylkkänen, L
(2014) The role of the left anterior temporal lobe in semantic composition vs. semantic memory. Neuropsychologia, 571, 59–70. DOI logoGoogle Scholar
Willems, R.M., Özyürek, A., & Hagoort, P
(2009) Differential roles for left inferior frontal and superior temporal cortex in multimodal integration of action and language. NeuroImage, 471, 1992–2004. DOI logoGoogle Scholar
Wilson, S.M., Demarco, A.T., Henry, M.L., Gesierich, B., Babiak, M., Mandelli, M.L., Miller, B.L., & Gorno-Tempini, M.L
(2014) What role does the anterior temporal lobe play in sentence-level processing? Neural correlates of syntactic processing in semantic variant primary progressive Aphasia. Journal of Cognitive Neuroscience, 26, 970. DOI logoGoogle Scholar
Wood, S.N
(2006) Generalized additive models. New York, NY: Chapman & Hall/CRC. DOI logoGoogle Scholar
Wood, S.N.
(2012) mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness Estimation (R package version 1.7-22).Google Scholar
Zhang, L., Xi, J., Xu, G., Shu, H., Wang, X., & Li, P
(2011) Cortical dynamics of acoustic and phonological processing in speech perception. PloS One, 61, e20963. DOI logoGoogle Scholar
Zuur, A.F., Ieno, E.N., Walker, N.J., Saveliev, A.A., & Smith, G.M.
(2009) Mixed effects models and extensions in ecology with R. New York, NY: Springer. DOI logoGoogle Scholar
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Kirjavainen, Minna, Ludivine Crible & Kate Beeching
2022. Can filled pauses be represented as linguistic items? Investigating the effect of exposure on the perception and production of um. Language and Speech 65:2  pp. 263 ff. DOI logo
Wray, Alison
2017. Formulaic Sequences as a Regulatory Mechanism for Cognitive Perturbations During the Achievement of Social Goals. Topics in Cognitive Science 9:3  pp. 569 ff. DOI logo

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