[1] |
Baayen R. H., C. Shaoul J. Willits & M. Ramscar. 2016. Comprehension without segmentation: a proof of concept with naive discriminative learning[J]. Language Cognition and Neuroscience 31(1): 106-128.
doi: 10.1080/23273798.2015.1065336
URL
|
[2] |
Beyersmann E., D. Bolger C. Pattamadilok B. New J. Grainger & J. C. Ziegler. 2019. Morphological processing without semantics: An ERP study with spoken words[J]. Cortex 116: 55-73.
doi: 10.1016/j.cortex.2019.02.008
URL
|
[3] |
Brouwer H., M. W. Crocker N. J. Venhuizen & J. C. J. Hoeks. 2017. A Neurocomputational Model of the N400 and the P600 in Language Processing[J]. Cognitive Science 41(S6): 1318-1352.
doi: 10.1111/cogs.2017.41.issue-S6
URL
|
[4] |
Chomsky N. 2017. Language architecture and its import for evolution[J]. Neuroscience and Biobehavioral Reviews 81: 295-300.
doi: S0149-7634(16)30579-6
pmid: 28188889
|
[5] |
Cox C. R., M. S. Seidenberg & T. T. Rogers. 2014. Connecting functional brain imaging and Parallel Distributed Processing [J]. Language, Cognition and Neuroscience 30(4): 380-394.
|
[6] |
Davis C. P., G. Libben & S. J. Segalowitz. 2019. Compounding matters: Event-related potential evidence for early semantic access to compound words[J]. Cognition 184: 44-52.
doi: 10.1016/j.cognition.2018.12.006
URL
|
[7] |
Diependaele K., J. A. Dunabeitia J. Morris & E. Keuleers. 2011. Fast morphological effects in first and second language word recognition[J]. Journal of Memory and Language 64(4): 344-358.
doi: 10.1016/j.jml.2011.01.003
URL
|
[8] |
Gonnerman L. M.,M. S. Seidenberg & E. S. Andersen. 2007. Graded semantic and phonological similarity effects in priming: Evidence for a distributed connectionist approach to morphology [J]. Journal of Experimental Psychology-General 136(2): 323-345.
|
[9] |
Hauk O., C. Coutout A. Holden & Y. Chen. 2012. The time-course of single-word reading: evidence from fast behavioral and brain responses[J]. Neuroimage 60(2): 1462-1477.
doi: 10.1016/j.neuroimage.2012.01.061
URL
|
[10] |
Jared D., O. Jouravlev & M. F. Joanisse. 2017. The effect of semantic transparency on the processing of morphologically derived words: Evidence from decision latencies and event-related potentials [J]. Journal of Experimental Psychology-Learning Memory & Cognition 43(3): 422-450.
|
[11] |
Justus T., J. Larsen J. Yang P. d. M. Davies N. Dronkers & D. Swick. 2011. The role of Broca's area in regular past-tense morphology: An event-related potential study[J]. Neuropsychologia 49(1): 1-18.
doi: 10.1016/j.neuropsychologia.2010.10.027
URL
|
[12] |
Kaczer L., K. Timmer L. Bavassi & N. O. Schiller. 2015. Distinct morphological processing of recently learned compound words: An ERP study[J]. Brain Research 1629: 309-317.
doi: 10.1016/j.brainres.2015.10.029
URL
|
[13] |
Leminen A., E. Smolka J. A. Dunabeitia & C. Pliatsikas. 2019. Morphological processing in the brain: The good (inflection), the bad (derivation) and the ugly (compounding)[J]. Cortex 116: 4-44.
doi: 10.1016/j.cortex.2018.08.016
URL
|
[14] |
McClelland J. L. & K. Patterson. 2002. ‘Words or Rules’ cannot exploit the regularity in exceptions - Reply to Pinker and Ullman[J]. Trends in Cognitive Sciences 6(11): 464-465.
doi: 10.1016/S1364-6613(02)02012-0
URL
|
[15] |
Pinker S. & M. T. Ullman. 2002. The past and future of the past tense[J]. Trends in Cognitive Sciences 6(11): 456-463.
doi: 10.1016/S1364-6613(02)01990-3
URL
|
[16] |
Plaut D. C. & L. M. Gonnerman. 2000. Are non-semantic morphological effects incompatible with a distributed connectionist approach to lexical processing?[J]. Language and Cognitive Processes 15(4-5): 445-485.
doi: 10.1080/01690960050119661
URL
|
[17] |
Rastle K. & M. H. Davis. 2008. Morphological decomposition based on the analysis of orthography[J]. Language and Cognitive Processes 23(7-8): 942-971.
doi: 10.1080/01690960802069730
URL
|
[18] |
Rumelhart D. E. & J. L. McClelland. 1986. On learning the past tenses of English verbs [A]. In J. McClelland, D. Rumethart & the PDP Research Group (eds.). Parallel distributed processing: explorations in the microstructure of cognition. Vol.4, Psychological and Biological Models [C]. Cambridge: MIT Press. 216-271.
|
[19] |
Smolka E. & G. Libben. 2017. ‘Can you wash off the hogwash?’ - semantic transparency of first and second constituents in the processing of German compounds[J]. Language Cognition and Neuroscience 32(4): 514-531.
doi: 10.1080/23273798.2016.1256492
URL
|
[20] |
Taft M., S. Li & E. Beyersmann. 2018. What Cross-morphemic Letter Transposition in Derived Nonwords Tells us about Lexical Processing[J]. Journal of Cognition 1(1): 1-13.
doi: 10.5334/joc.1
URL
|
[21] |
Taft M. & M. Nguyen-Hoan. 2010. A sticky stick? The locus of morphological representation in the lexicon[J]. Language and Cognitive Processes 25(2): 277-296.
doi: 10.1080/01690960903043261
URL
|
[22] |
Ullman M. T. 2001. A neurocognitive perspective on language: The declarative/procedural model[J]. Nature Reviews Neuroscience 2(10): 717-726.
doi: 10.1038/35094573
pmid: 11584309
|
[23] |
Wang Y., M. Jiang Y. Huang & P. Qiu. 2021a. An ERP Study on the Role of Phonological Processing in Reading Two-Character Compound Chinese Words of High and Low Frequency[J]. Frontiers in Psychology 12: 637238.
doi: 10.3389/fpsyg.2021.637238
URL
|
[24] |
Wang Y., M. Jiang X. Xu & Y. Huang. 2021b. Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology[J]. Journal of Visualized Experiments 172:e62673.
|
[25] |
Wang Y., Z. Li M. Jiang F. Long Y. Huang & X. Xu. 2023. Time course of Chinese compound word recognition as revealed by ERP data[J]. Language Cognition and Neuroscience 39(1): 55-75.
doi: 10.1080/23273798.2023.2245074
URL
|
[26] |
Zhou X. & W. D. Marslen-Wilson. 2000. Lexical representation of compound words: Cross-linguistic evidence[J]. Psychologia 43(1): 47-66.
|
[27] |
Zwitserlood P. 2018. Processing and representation of morphological complexity in native language comprehension and production[A]. In G. Booij (ed.). Studies in Morphology. Vol.4, The Construction of Words [C]. Berlin: Springer, Cham. 583-602.
|
[28] |
李佐文、 梁国杰. 2022. 语言智能学科的内涵与建设路径[J]. 外语电化教学 (5):88-93.
|