Reference: | Alario, F.-X., Costa, A., & Caramazza, A. (2002). Frequency effects in noun phrase production: Implications for models of lexical access. Language and cognitive processes, 17(3), 299-319. Alderete, J., Baese-Berk, M., Brasoveanu, A., & Law, J. H. (2023). A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures. Journal of Cognition, 6(1), 1-8. Allassonnière-Tang, M., Wan, I. P., & Lee, C. W. (2023). Semantic and phonological distances in free word association tasks The 24th Chinese Lexical Semantics Workshop (CLSW 2023), National University of Singapore. Altarriba, J., Bauer, L. M., & Benvenuto, C. (1999). Concreteness, context availability, and imageability ratings and word associations for abstract, concrete, and emotion words. Behavior Research Methods, Instruments, & Computers, 31, 578-602. Anaki, D., & Henik, A. (2003). Is there a “strength effect” in automatic semantic priming? Memory & Cognition, 31(2), 262-272. Arbesman, S., Strogatz, S. H., & Vitevitch, M. S. (2010). The structure of phonological networks across multiple languages. International Journal of Bifurcation and Chaos, 20(03), 679-685. Bao, L., Qian, Z., & Zhang, Q. (2023). The multiple phonological activation in Chinese spoken word production: An ERP study supporting cascaded model. Behavioural Brain Research, 451, 1-10. https://doi.org/https://doi.org/10.1016/j.bbr.2023.114523 Beckage, N., Steyvers, M., & Butts, C. (2012). Route choice in individuals—semantic network navigation. Proceedings of the Annual Meeting of the Cognitive Science Society, 34(34), 108-113. Beckage, N. M., & Colunga, E. (2016). Language networks as models of cognition: Understanding cognition through language. Towards a theoretical framework for analyzing complex linguistic networks, 3-28. Bi, Y., Wei, T., Janssen, N., & Han, Z. (2009). The contribution of orthography to spoken word production: Evidence from Mandarin Chinese. Psychonomic Bulletin & Review, 16(3), 555-560. Bonat, W. H., Ribeiro Jr, P. J., & Zeviani, W. M. (2015). Likelihood analysis for a class of beta mixed models. Journal of Applied Statistics, 42(2), 252-266. https://doi.org/10.1080/02664763.2014.947248 Brooks, M. E., Kristensen, K., Van Benthem, K. J., Magnusson, A., Berg, C. W., Nielsen, A., Skaug, H. J., Machler, M., & Bolker, B. M. (2017). glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. The R journal, 9(2), 378-400. Buchwald, A. M. (1957). The generality of the norms of word-associations. The American Journal of Psychology, 70(2), 233-237. Cabana, Á., Zugarramurdi, C., Lisboa, J. V., & De Deyne, S. (2022). The" Small World of Words" Free Association Norms for Rioplatense Spanish. Behavior research methods, 1-18. https://doi.org/https://doi.org/10.3758/s13428-023-02070-z Castro, N., Stella, M., & Siew, C. S. (2020). Quantifying the interplay of semantics and phonology during failures of word retrieval by people with aphasia using a multiplex lexical network. Cognitive Science, 44(9), 1-32. https://doi.org/10.1111/cogs.128 Chan, K. Y., & Vitevitch, M. S. (2009). The influence of the phonological neighborhood clustering coefficient on spoken word recognition. Journal of Experimental Psychology: Human Perception and Performance, 35(6), 1934-1949. Chen, J.-Y., Chen, T.-M., & Dell, G. S. (2002). Word-form encoding in Mandarin Chinese as assessed by the implicit priming task. Journal of Memory and Language, 46(4), 751-781. Chinese Knowledge and Information Processing Group (CKIP). (1995). Technical Report no.95-02/98-04. Academia Sinica, Taiwan. Clark, H. H. (1970). Word associations and linguistic theory. New horizons in linguistics, 1, 271-286. Cofer, C. N. (1958). Comparison of word associations obtained by the methods of discrete single word and continued association. Psychological Reports, 4(2), 507-510. Damian, M. F., & Martin, R. C. (1999). Semantic and phonological codes interact in single word production. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25(2), 345-361. Dautriche, I., Mahowald, K., Gibson, E., & Piantadosi, S. T. (2017). Wordform similarity increases with semantic similarity: An analysis of 100 languages. Cognitive Science, 41(8), 2149-2169. De Deyne, S., Navarro, D. J., Perfors, A., Brysbaert, M., & Storms, G. (2019). The “Small World of Words” English word association norms for over 12,000 cue words. Behavior research methods, 51, 987-1006. De Deyne, S., Navarro, D. J., & Storms, G. (2013). Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations. Behavior research methods, 45, 480-498. De Deyne, S., & Storms, G. (2008). Word associations: Network and semantic properties. Behavior research methods, 40(1), 213-231. de Groot, A. M. (1989). Representational aspects of word imageability and word frequency as assessed through word association. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15(5), 824-845. De Simone, F., & Collina, S. (2016). The picture–word interference paradigm: Grammatical class effects in lexical production. Journal of Psycholinguistic Research, 45, 1003-1019. Dell, G. S. (1986). A spreading-activation theory of retrieval in sentence production. Psychological review, 93(3), 283-321. Dell, G. S. (1988). The retrieval of phonological forms in production: Tests of predictions from a connectionist model. Journal of Memory and Language, 27(2), 124-142. Dell, G. S. (1990). Effects of frequency and vocabulary type on phonological speech errors. Language and cognitive processes, 5(4), 313-349. Dell, G. S., Juliano, C., & Govindjee, A. (1993). Structure and content in language production: A theory of frame constraints in phonological speech errors. Cognitive Science, 17(2), 149-195. Do, Y., & Lai, R. K. Y. (2021). Accounting for lexical tones when modeling phonological distance. Language, 97(1), e39-e67. Duanmu, S. (1999). Metrical structure and tone: evidence from Mandarin and Shanghai. Journal of East Asian Linguistics, 8(1), 1-38. Duanmu, S. (2000). Stress in Chinese. In Chinese phonology in generative grammar (pp. 117-138). Brill. Ferrari, S., & Cribari-Neto, F. (2004). Beta Regression for Modelling Rates and Proportions. Journal of Applied Statistics, 31(7), 799-815. https://doi.org/10.1080/0266476042000214501 Fitzpatrick, T. (2012). Word associations. In C. A. Chapelle (Ed.), The encyclopedia of applied linguistics (pp.1-6). Oxford, UK: Wiley-Blackwell. https://doi.org/10.1002/9781405198431.wbeal1283 Fitzpatrick, T., Playfoot, D., Wray, A., & Wright, M. J. (2015). Establishing the reliability of word association data for investigating individual and group differences. Applied Linguistics, 36(1), 23-50. Forgus, R. H. (1966). Perception: The basic process in cognitive development. Mcgraw-Hill Book Co. Fricke, M., Baese-Berk, M. M., & Goldrick, M. (2016). Dimensions of similarity in the mental lexicon. Language, Cognition and Neuroscience, 31(5), 639-645. Garskof, B. E. (1965). Relation between single word association and continued association response hierarchies. Psychological Reports, 16(1), 307-309. Gaume, B., Tanguy, L., Fabre, C., Ho-Dac, L.-M., Pierrejean, B., Hathout, N., Farinas, J., Pinquier, J., Danet, L., & Péran, P. (2018). Automatic analysis of word association data from the Evolex psycholinguistic tasks using computational lexical semantic similarity measures. 13th International Workshop on Natural Language Processing and Cognitive Science (NLPCS). Gravino, P., Servedio, V. D., Barrat, A., & Loreto, V. (2012). Complex structures and semantics in free word association. Advances in Complex Systems, 15(03n04), 1250054. Horton, D. L., Marlowe, D., & Crowne, D. P. (1963). The effect of instructional set and need for social approval on commonality of word association responses. The Journal of Abnormal and Social Psychology, 66(1), 67-72. Hothorn, T., Bretz, F., & Westfall, P. (2008). Simultaneous inference in general parametric models. Biometrical Journal: Journal of Mathematical Methods in Biosciences, 50(3), 346-363. Huang, C.-R., Chen, K., Chang, L., & Hsu, H. (1995). The Introduction of Sinica Corpus. Proceedings of ROCLING VIII. Jaeger, J. J. (2005). Kid's Slips: What Young Children's Slips of the Tongue Reveal about Language Development. Lawrence Erlbaum Associates. https://books.google.com.tw/books?id=g1YGd1FkRgAC Jung, J. (1966). Experimental studies of factors affecting word associations. Psychological Bulletin, 66(2), 125-133. Kess, J. F. (1992). Psycholinguistics: Psychology, linguistics and the study of natural language. John Benjamins Publishing. Kumar, A. A., Lundin, N. B., & Jones, M. N. (2022). Mouse-mole-vole: The inconspicuous benefit of phonology during retrieval from semantic memory. Proceedings of the annual meeting of the Cognitive Science Society. Levelt, W. J. (1989). Speaking: From Intention to Articulation. The MIT Press. https://doi.org/10.7551/mitpress/6393.001.0001 Levelt, W. J. (2001). Spoken word production: A theory of lexical access. Proceedings of the National Academy of Sciences, 98(23), 13464-13471. Levelt, W. J., Roelofs, A., & Meyer, A. S. (1999). A theory of lexical access in speech production. Behavioral and brain sciences, 22(1), 1-38. Levenshtein, V. I. (1966). Binary codes capable of correcting deletions, insertions, and reversals. Soviet Physics. Doklady, 10(8), 707-710. Levy, O., Kenett, Y. N., Oxenberg, O., Castro, N., De Deyne, S., Vitevitch, M. S., & Havlin, S. (2021). Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks. Scientific Reports, 11(1), 14479. https://doi.org/10.1038/s41598-021-93925-y Li, M.-F., Lin, W.-C., Chou, T.-L., Yang, F.-L., & Wu, J.-T. (2015). The role of orthographic neighborhood size effects in Chinese word recognition. Journal of Psycholinguistic Research, 44, 219-236. Lin, S.-Y., Chen, H.-C., Chang, T.-H., Lee, W.-E., & Sung, Y.-T. (2019). CLAD: A corpus-derived Chinese lexical association database. Behavior research methods, 51, 2310-2336. Luce, P. A., & Pisoni, D. B. (1998). Recognizing spoken words: The neighborhood activation model. Ear and hearing, 19(1), 1-36. Melinger, A., Branigan, H. P., & Pickering, M. J. (2014). Parallel processing in language production. Language, Cognition and Neuroscience, 29(6), 663-683. Melinger, A., & Koenig, J.-P. (2007). Part-of-speech persistence: The influence of part-of-speech information on lexical processes. Journal of Memory and Language, 56(4), 472-489. Meyer, A. S. (1991). The time course of phonological encoding in language production: Phonological encoding inside a syllable. Journal of Memory and Language, 30(1), 69-89. Monaghan, P., Shillcock, R. C., Christiansen, M. H., & Kirby, S. (2014). How arbitrary is language? Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1651), 20130299. Navarrete, E., & Costa, A. (2005). Phonological activation of ignored pictures: Further evidence for a cascade model of lexical access. Journal of Memory and Language, 53(3), 359-377. Neergaard, K. D., & Huang, C.-R. (2019). Constructing the Mandarin phonological network: Novel syllable inventory used to identify schematic segmentation. Complexity, 2019, 1-21. Neergaard, K. D., & Huang, C.-R. (2022). Mandarin Chinese syllable structure and phonological similarity: perception and production studies. Cambridge Handbook of Chinese Linguistics. Neergaard, K. D., Luo, J., & Huang, C.-R. (2019). Phonological network fluency identifies phonological restructuring through mental search. Scientific Reports, 9(1), 15984. Neergaard, K. D., Xu, H., German, J. S., & Huang, C.-R. (2022). Database of word-level statistics for Mandarin Chinese (DoWLS-MAN). Behavior research methods, 54(2), 987-1009. Nelson, D., McEvoy, C., & Dennis, S. (2012). What is free association and what does it measure? Memory and Cognition, 28, 887-899. https://doi.org/10.3758/BF03209337 Nelson, D. L., McEvoy, C. L., & Dennis, S. (2000). What is free association and what does it measure? Memory & Cognition, 28(6), 887-899. Nissen, H. B., & Henriksen, B. (2006). Word class influence on word association test results 1. International Journal of Applied Linguistics, 16(3), 389-408. O’Seaghdha, P. G., Chen, J.-Y., & Chen, T.-M. (2010). Proximate units in word production: Phonological encoding begins with syllables in Mandarin Chinese but with segments in English. Cognition, 115(2), 282-302. Paivio, A., Yuille, J. C., & Madigan, S. A. (1968). Concreteness, imagery, and meaningfulness values for 925 nouns. Journal of experimental psychology, 76(1, Pt.2), 1-25. Peirce, J. W., Hirst, R. J., & MacAskill, M. R. (2022). Building Experiments in PsychoPy (2nd ed.). Sage. Playfoot, D., Balint, T., Pandya, V., Parkes, A., Peters, M., & Richards, S. (2018). Are word association responses really the first words that come to mind? Applied Linguistics, 39(5), 607-624. Qu, Q., & Damian, M. F. (2019). Orthographic effects in Mandarin spoken language production. Memory & Cognition, 47(2), 326-334. https://doi.org/10.3758/s13421-018-0868-7 R Core Team. (2023). R: A Language and Environment for Statistical Computing. In R Foundation for Statistical Computing. https://www.R-project.org/ Reilly, M., & Desai, R. H. (2017). Effects of semantic neighborhood density in abstract and concrete words. Cognition, 169, 46-53. Reynolds, R. J., Bickley, A., Champion, S., & Dekle, O. (1971). Effects of Mode of Presentation of Stimulus Materials in Word-Association Tasks. Psychological Reports, 28(1), 211-215. Roelofs, A. (1999). Phonological segments and features as planning units in speech production. Language and cognitive processes, 14(2), 173-200. Schwanenflugel, P. (1991). Why are abstract concepts hard to understand? The Psychology of Word Meanings, 1991, 223-250. Sevald, C. A., & Dell, G. S. (1994). The sequential cuing effect in speech production. Cognition, 53(2), 91-127. Siipola, E., Walker, W. n., & Kolb, D. (1955). Task Attitudes in Word Association, Projective and Nonprojective1. Journal of Personality, 23(4), 441-459. https://doi.org/https://doi.org/10.1111/j.1467-6494.1955.tb01168.x Tang, M., & Wan, I.-P. (2020). Predicting speech errors in Mandarin based on word frequency. From Minimal Contrast to Meaning Construct: Corpus-based, Near Synonym Driven Approaches to Chinese Lexical Semantics, 289-303. Tseng, T.-Y. (2020). Lexical networks between sounds and meanings in Taiwan Mandarin: Evidence from psycholinguistics. Crossroads. A Journal of English Studies(02 (29)), 37-52. Vigliocco, G., Vinson, D. P., Damian, M. F., & Levelt, W. (2002). Semantic distance effects on object and action naming. Cognition, 85(3), B61-B69. Vitevitch, M. S. (2002). The influence of phonological similarity neighborhoods on speech production. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(4), 735-747. Vitevitch, M. S. (2022). What can network science tell us about phonology and language processing? Topics in Cognitive Science, 14(1), 127-142. Vitevitch, M. S., & Luce, P. A. (2016). Phonological neighborhood effects in spoken word perception and production. Annual review of linguistics, 2, 75-94. Wan, I.-P., & Allassonnière-Tang, M. (2021, May 28-30, 2020). The effect of word frequency and position-in-utterance in mandarin speech errors: a connectionist model of speech production. Chinese Lexical Semantics: 21st Workshop, CLSW 2020 Hong Kong, China. Wan, I. P., & Ting, J. (2019). Semantic relationships in Mandarin speech errors. Taiwan Journal of Linguistics, 17(2), 33-66. Wu, J.-T., Yang, F.-L., & Lin, W.-C. (2013). Beyond phonology matters in character recognition. Chinese Journal of Psychology, 55(3), 289-318. Yao, Y., & Sharma, B. (2017). What is in the neighborhood of a tonal syllable? Evidence from auditory lexical decision in Mandarin Chinese. Proceedings of the Linguistic Society of America, 2(45), 1-14. Zhu, X., Damian, M. F., & Zhang, Q. (2015). Seriality of semantic and phonological processes during overt speech in Mandarin as revealed by event-related brain potentials. Brain and language, 144, 16-25. |