Article published in:
The Mental Lexicon
Vol. 15:2 (2020) ► pp. 161188
Andersen, G.
(2011) Leksikalsk database for svensk. Oslo: Technical report, Nasjonalbiblioteket.Google Scholar
Ariel, M.
(1990) Accessing noun-phrase antecedents. London: Routledge.Google Scholar
Barber, H. A., Otten, L. J., Kousta, S.-T., & Vigliocco, G.
(2013) Concreteness in word processing: ERP and behavioral effects in a lexical decision task. Brain and Language 1251, 47–53. CrossrefGoogle Scholar
Blomberg, F.
(2016) Concreteness, specificity, and emotional content in Swedish nouns. Neurocognitive studies of word meaning. (Doctoral dissertation). Retrieved from: https://​lup​.lub​.lu​.se​/search​/publication​/4a492bdf​-2d91​-4955​-a820​-1143d470d624
Blomberg, F., & Öberg, C.
(2015) Swedish and English word ratings of imageability, familiarity and age of acquisition are highly correlated. Nordic Journal of Linguistics 381, 351–364. CrossrefGoogle Scholar
Blomberg, F., Roll, M., Lindgren, M., Brännström, K. J., & Horne, M.
(2015) Emotional arousal and lexical specificity modulate response times differently depending on ear of presentation in a dichotic listening task. The Mental Lexicon 101, 221–246. CrossrefGoogle Scholar
Bojanowski, P., Grave, E., Joulin, A. & Mikolov, T.
(2017) Enriching word vectors with subword information. Transactions of the Association for Computational Linguistics 51, 135–146. CrossrefGoogle Scholar
Collobert, R. & Weston, J.
(2008) A unified architecture for natural language processing: Deep neural networks with multitask learning. Proceedings of the 25th International Conference on Machine Learning. ACM, 160–167.Google Scholar
Coltheart, M.
(1981) The MRC psycholinguistic database. The Quarterly Journal of Experimental Psychology Section A 331, 497–505. CrossrefGoogle Scholar
Cruse, A.
(1986) Lexical semantics. Cambridge: Cambridge University Press.Google Scholar
Crutch, S. J., & Warrington, E. K.
(2005) Abstract and concrete concepts have structurally different representational frameworks. Brain 1281, 615–627. CrossrefGoogle Scholar
(2010) The differential dependence of abstract and concrete words upon associative and similarity-based information: Complementary semantic interference and facilitation effects. Cognitive Neuropsychology 271, 46–71. CrossrefGoogle Scholar
Crutch, S. J., Connell, S., & Warrington, E. K.
(2009) The different representational frameworks underpinning abstract and concrete knowledge: Evidence from odd-one-out judgements. The Quarterly Journal of Experimental Psychology 621, 1377–1390. CrossrefGoogle Scholar
Delorme, A., & Makeig, S.
(2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods 134(1), 9–21. CrossrefGoogle Scholar
Dove, G.
(2016) Three symbol ungrounding problems: Abstract concepts and the future of embodied cognition. Psychonomic Bulletin & Review 231, 1–13. CrossrefGoogle Scholar
Dreyer, F. R., Frey, D., Arana, S., von Saldern, S., Picht, T., Vajkoczy, P. & Pulvermüller, F.
(2015) Is the motor system necessary for processing action and abstract emotion words? Evidence from focal brain lesions. Frontiers in Psychology 61, 1–17. CrossrefGoogle Scholar
Ejerhed, E., Källgren, G., Wennstedt, O., & Åström, M.
(1992) The linguistic annotation system of the Stockholm-Umeå corpus project. Report no. 33, Department of General Linguistics, Umeå University.Google Scholar
Firth, J. R.
(1957) A synopsis of linguistic theory 1930–1955. Studies in Linguistic Analysis: 1–32. Reprinted in F. R. Palmer, (Ed.) (1968) Selected papers of J. R. Firth 1952–1959 London: Longman.Google Scholar
Gilhooly, K. J., & Logie, R. H.
(1980) Age-of-acquisition, imagery, concreteness, familiarity, and ambiguity measures for 1,944 words. Behavior Research Methods and Instrumentation 121, 395–427. CrossrefGoogle Scholar
Grondin, R., Lupker, S. J., & McRae, K.
(2009) Shared features dominate semantic richness effects for concrete concepts. Journal of Memory and Language 601, 1–19. CrossrefGoogle Scholar
Gullick, M. M., Mitra, P., & Coch, D.
(2013) Imagining the truth and the moon: An electrophysiological study of abstract and concrete word processing. Psychophysiology 501, 431–440. CrossrefGoogle Scholar
Harris, Z.
(1954) Distributional structure. Word 101, 146–162. CrossrefGoogle Scholar
Holcomb, P. J., Kounios, J., Anderson, J. E., & West, W. C.
(1999) Dual-coding, context availability, and concreteness effects in sentence comprehension: An electrophysiological investigation. Journal of Experimental Psychology: Learning, Memory and Cognition 251, 721–742. CrossrefGoogle Scholar
Holcomb, P. J., Grainger, J., & O’Rourke
(2002) An electrophysiological study of the effects of orthographic neighbourhood size on printed word perception. Journal of Cognitive Neuroscience, 141, 938–950. CrossrefGoogle Scholar
Jasper, H. H.
(1958) Report of the committee on methods of clinical examination in electroencephalography. Electroencephalography and Clinical Neurophysiology 101, 370–375. CrossrefGoogle Scholar
Jung, T.-P., Makeig, S., Humphries, C., Lee, T.-W., McKeown, M. J., Iragui, V., & Sejnowski, T. J.
(2000) Removing electroencephalographic artifacts by blind source separation. Psychophysiology 371, 163–178. CrossrefGoogle Scholar
Kanske, P., & Kotz, S. A.
(2007) Concreteness in emotional words: ERP evidence from a hemifield study. Brain Research 11481, 138–148. CrossrefGoogle Scholar
Kounios, J., & Holcomb, P. J.
(1992) Structure and process in semantic memory: Evidence from event-related brain potentials and reaction times. Journal of Experimental Psychology: General, 1211, 459–479. CrossrefGoogle Scholar
(1994) Concreteness effects in semantic processing: ERP evidence supporting dual-coding theory. Journal of Experimental Psychology: Learning, Memory, and Cognition 201, 804–823. CrossrefGoogle Scholar
Kousta, S.-T., Vigliocco, G., Vinson, D. P., Andrews, M., & Del Campo, E.
(2011) The representation of abstract words: Why emotion matters. Journal of Experimental Psychology: General 1401, 14–34. CrossrefGoogle Scholar
Kutas, M., & Federmeier, K. D.
(2000) Electrophysiology reveals semantic memory use in language comprehension. Trends in Cognitive Sciences 41, 463–470. CrossrefGoogle Scholar
(2011) Thirty years and counting: finding meaning in the N400 component of the Event-Related Brain Potential (ERP). Annual Review of Psychology 621, 621–647. CrossrefGoogle Scholar
Kutas, M., & Hillyard, S. A.
(1980) Reading senseless sentences: Brain potentials reflect semantic incongruity. Science 2071, 203–205. CrossrefGoogle Scholar
Laszlo, S., & Federmeier, L.
(2009) A beautiful day in the neighborhood. An event-related potential study of lexical relationships and prediction in context. Journal of Memory and Language 631, 326–338. CrossrefGoogle Scholar
Laszlo, S. & Federmeier, L.
(2011) The N400 as a snapshot of interactive processing: evidence from regression analyses of orthographic neighbor and lexical associate effects. Psychophysiology 481, 176–186. CrossrefGoogle Scholar
Laszlo, S., & Federmeier, L.
(2014) Never seem to find the time: evaluating the physiological time course of visual word recognition with regression analysis of single-item event-related potentials. Language, Cognition and Neuroscience 291, 642–661. CrossrefGoogle Scholar
Lau, E. F., Phillips, C., & Poeppel, D.
(2008) A cortical network for semantics: (de)constructing the N400 . Nature Reviews Neuroscience 91, 920–933. CrossrefGoogle Scholar
Levy, O., Goldberg, Y., & Dagan, I.
(2015) Improving distributional similarity with lessons learned from word embeddings. Transactions of the Association for Computational Linguistics 31, 211–225. CrossrefGoogle Scholar
Lund, K., & Burgess, C.
(1996) Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments, & Computers 281, 203–208. CrossrefGoogle Scholar
Mikolov, T., Chen, K., Corrado, G. & Dean, J.
(2013) Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.Google Scholar
Miller, G. A., & Fellbaum, C.
(1991) Semantic networks of English. Cognition 411, 197–229. CrossrefGoogle Scholar
Mårtensson, F., Roll, M., Apt, P., & Horne, M.
(2011) Modelling the meaning of words: neural correlates of abstract and concrete noun processing, Acta Neurobiologiae Experimentalis 711, 455–478.Google Scholar
Mårtensson, F., Roll, M., Lindgren, M., Apt, P., & Horne, M.
(2014) Sensory-specific anomic aphasia following left occipital lesions: Data from free oral descriptions of concrete word meanings. Neurocase 201, 192–207. CrossrefGoogle Scholar
Nittono, H., Suehiro, M., & Hori, T.
(2002) Word imageability and N400 in an incidental memory paradigm. International Journal of Psychophysiology 441, 1–11. CrossrefGoogle Scholar
Oldfield, R. C.
(1971) The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia 91, 97–113. CrossrefGoogle Scholar
Paivio, A.
(1990) Mental Representations. Oxford: Oxford UP. CrossrefGoogle Scholar
(2010) Dual coding theory and the mental lexicon. The Mental Lexicon 51, 205–230. CrossrefGoogle Scholar
Paivio, A., Yuille, J. C., & Madigan, S. A.
(1968) Concreteness, imagery, and meaningfulness values for 925 nouns. Journal of Experimental Psychology 76, Pt.2),1–25. CrossrefGoogle Scholar
Pexman, P. M., Holyk, G. G., & Monfils, M. H.
(2003) Number-of-features effects and semantic processing. Memory and Cognition 311, 842–855. CrossrefGoogle Scholar
Pulvermüller, F.
(2013) How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics. Trends in Cognitive Sciences 171, 458–470. CrossrefGoogle Scholar
Rabovsky, M., & McRae, K.
(2014) Simulating the N400 ERP component as semantic network error: Insights from a feature-based connectionist attractor model of word meaning. Cognition 1321, 68–89. CrossrefGoogle Scholar
Recchia, G., & Jones, M. N.
(2012) The semantic richness of abstract concepts. Frontiers in Human Neuroscience 61, 315. CrossrefGoogle Scholar
Rohde, D. L. T., Gonnerman, L. M., & Plaut, D. C.
(2006) An improved model of semantic similarity based on lexical co-occurrence. Communications of the ACM 81, 627–633.Google Scholar
Roll, M., Mårtensson, F., Sikström, S., Apt, P., Arnling-Bååth, R., & Horne, M.
(2012) Atypical associations to abstract words in Broca’s aphasia. Cortex 481, 1068–1072. CrossrefGoogle Scholar
Rosch, E., & Lloyd, B. B.
(1978) Cognition and categorization. New Jersey: Lawrence Erlbaum.Google Scholar
Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-Braem, P.
(1976) Basic objects in natural categories. Cognitive Psychology 81, 382–439. CrossrefGoogle Scholar
Rugg, M. D.
(1985) The effects of semantic priming and word repetition on Event-Related Potentials. Psychophysiology 221, 642–647. CrossrefGoogle Scholar
Sabsevitz, D. S., Medler, D. A., Seidenberg, M., & Binder, J. R.
(2005) Modulation of the semantic system by word imageability. NeuroImage 271, 188–200. CrossrefGoogle Scholar
Sahlgren, M.
(2008) The distributional hypothesis. Rivista di Linguistica 20 (1), 33–53.Google Scholar
Shaoul, C. & Westbury, C.
(2006) Word frequency effects in high-dimensional co-occurrence models: A new approach. Behaviour Research Methods 381, 190–195. CrossrefGoogle Scholar
Siakaluk, P., Newcombe, P., Duffels, B., Li, E., Sidhu, D., Yap, M., & Pexman, P.
(2016) Effects of emotional experience in lexical decision. Frontiers in Psychology 71:1157. CrossrefGoogle Scholar
Szewczyk, J. & Schriefers, H.
(2018) The N400 as an index of lexical preactivation and its implications for prediction in language comprehension. Language, Cognition and Neuroscience 331, 665–686. CrossrefGoogle Scholar
Welcome, S. E., Paivio, A., McRae, K., & Joanisse, M. F.
(2011) An electrophysiological study of task demands on concreteness effects: evidence for dual coding theory. Experimental Brain Research 2121, 347–358. CrossrefGoogle Scholar
West, W. C., & Holcomb, P. J.
(2000) Imaginal, semantic, and surface-level processing of concrete and abstract words: an electrophysiological investigation. Journal of Cognitive Neuroscience 121, 1024–1037. CrossrefGoogle Scholar
Westbury, C., & Moroschan, G.
(2009) Imageability x phonology interactions during lexical access: Effects of modality, phonological neighbourhood, and phonological processing efficiency. The Mental Lexicon 41, 115–145. CrossrefGoogle Scholar
Westbury, C., Shaol, C., Hollis, G., Smithson, L., Briesemeister, B., Hofmann, M., & Jacobs, A.
(2013) Now you see it, now you don’t: on emotion, context, and the algorithmic prediction of human imageability judgments. Frontiers in Psychology 41:991. CrossrefGoogle Scholar
Westbury, C., Cribben, I., & Cummine, J.
(2016) Imaging imageability: behavioral effects and neural correlates of its interaction with affect and context. Frontiers in Human Neuroscience 101:346. CrossrefGoogle Scholar
Zuccon, G., Koopman, B., Bruza, P., & Azzopardi, L.
(2015) Integrating and evaluating neural word embeddings in information retrieval. In Proceedings ADCS ’15, 1–8. CrossrefGoogle Scholar
The role of affective meaning, semantic associates, and orthographic neighbours in modulating the N400 in single words