Transitional probability between characters as a component of sentence processing in Chinese

References

1. Baayen, R. H., & Milin, P.
   (2010) Analyzing reaction times. International journal of psychological research, 3(2), 12–28. 10.21500/20112084.807
   https://doi.org/10.21500/20112084.807 [Google Scholar]
2. Bai, X. J., Tian, J., Yan, G. L., & Wang, T. L.
   (2009) The effect of word segmentation on Chinese text reading: Evidence from American students’ eye movements. Nankai Linguistics, 11, 140–185.
   [Google Scholar]
3. Bai, X., Yan, G., Liversedge, S. P., Zang, C., & Rayner, K.
   (2008) Reading spaced and unspaced Chinese text: Evidence from eye movements. Journal of Experimental Psychology: Human Perception and Performance, 34(5), 1277–1287. 10.1037/0096‑1523.34.5.1277
   https://doi.org/10.1037/0096-1523.34.5.1277 [Google Scholar]
4. Bai, X., Zhang, T., Tian, L., Liang, F., & Wang, T.
   (2010) Effect of word segmentation on American students reading Chinese: Evidence from eye movements. Psychological Research, 51, 25–30.
   [Google Scholar]
5. Bloomfield, L.
   (1935) Language. George Allen & Unwin, London. Linguistic Inquiry Monographs.
   [Google Scholar]
6. Booij, G.
   (2007) Construction morphology and the lexicon. Selected proceedings of the 5th Décembrettes: Morphology in Toulouse, 34–44.
   [Google Scholar]
7. Booij, G.
   (2012) The grammar of words: An introduction to linguistic morphology. Oxford University Press.
   [Google Scholar]
8. Brown, M., Salverda, A. P., Dilley, L. C., & Tanenhaus, M. K.
   (2011) Expectations from preceding prosody influence segmentation in online sentence processing. Psychonomic Bulletin & Review, 18(6), 1189–1196. 10.3758/s13423‑011‑0167‑9
   https://doi.org/10.3758/s13423-011-0167-9 [Google Scholar]
9. Chen, K., Gu, L. & Bai, Q.
   (2023) Processing Chinese formulaic sequences in sentence context: a comparative study of native and non-native speakers. Humanit Soc Sci Commun101, 622. 10.1057/s41599‑023‑02137‑4
   https://doi.org/10.1057/s41599-023-02137-4 [Google Scholar]
10. Conway, C. M., Bauernschmidt, A., Huang, S. S., & Pisoni, D. B.
    (2010) Implicit statistical learning in language processing: Word predictability is the key. Cognition, 114(3), 356–371. 10.1016/j.cognition.2009.10.009
    https://doi.org/10.1016/j.cognition.2009.10.009 [Google Scholar]
11. Conway, C. M., & Christiansen, M. H.
    (2005) Modality-constrained statistical learning of tactile, visual, and auditory sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(1), 24.
    [Google Scholar]
12. Conway, C. M., & Pisoni, D. B.
    (2008) Neurocognitive basis of implicit learning of sequential structure and its relation to language processing. Annals of the New York Academy of Sciences, 1145(1), 113–131. 10.1196/annals.1416.009
    https://doi.org/10.1196/annals.1416.009 [Google Scholar]
13. Da, J.
    (2004) Chinese text computing. Online version at: lingua.mtsu.edu/chinesecomputing/old-version1/
    [Google Scholar]
14. Da, J.
    (2004) A corpus-based study of character and bigram frequencies in Chinese e-texts and its implications for Chinese language instruction. InProceedings of the fourth international conference on new technologies in teaching and learning Chinese (pp.501–11). Beijing: Tsinghua University Press.
    [Google Scholar]
15. DeFrancis, J.
    (1984) The Chinese language: Fact and fantasy. University of Hawaii Press. 10.1515/9780824840303
    https://doi.org/10.1515/9780824840303 [Google Scholar]
16. Fine, A. B., & Jaeger, T. F.
    (2016) The role of verb repetition in cumulative structural priming in comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(9), 1362.
    [Google Scholar]
17. Fine, A. B., Jaeger, T. F., Farmer, T. A., & Qian, T.
    (2013) Rapid expectation adaptation during syntactic comprehension. PloS One, 8(10), e77661. 10.1371/journal.pone.0077661
    https://doi.org/10.1371/journal.pone.0077661 [Google Scholar]
18. Frank, S. L., Fernandez Monsalve, I., Thompson, R. L., & Vigliocco, G.
    (2013) Reading time data for evaluating broad-coverage models of English sentence processing. Behavior research methods, 451, 1182–1190. 10.3758/s13428‑012‑0313‑y
    https://doi.org/10.3758/s13428-012-0313-y [Google Scholar]
19. Gao, X. Y., Li, M. F., Chou, T. L., & Wu, J. T.
    (2016) Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese. JoVE (Journal of Visualized Experiments), (110), e53815–e53815.
    [Google Scholar]
20. Graf Estes, K., Evans, J. L., Alibali, M. W., & Saffran, J. R.
    (2007) Can infants map meaning to newly segmented words? Statistical segmentation and word learning. Psychological science, 18(3), 254–260. 10.1111/j.1467‑9280.2007.01885.x
    https://doi.org/10.1111/j.1467-9280.2007.01885.x [Google Scholar]
21. Kuo, W. J., Yeh, T. C., Lee, C. Y., Wu, Y. T., Chou, C. C., Ho, L. T., … & Hsieh, J. C.
    (2003) Frequency effects of Chinese character processing in the brain: an event-related fMRI study. Neuroimage, 18(3), 720–730. 10.1016/S1053‑8119(03)00015‑6
    https://doi.org/10.1016/S1053-8119(03)00015-6 [Google Scholar]
22. Leong, C. K.
    (1997) Paradigmatic analysis of Chinese word reading: Research findings and classroom practices. InCross-language studies of learning to read and spell (pp.379–417). Springer Netherlands. 10.1007/978‑94‑017‑1197‑5_20
    https://doi.org/10.1007/978-94-017-1197-5_20 [Google Scholar]
23. McBride-Chang, C., Bialystok, E., Chong, K. K., & Li, Y.
    (2004) Levels of phonological awareness in three cultures. Journal of experimental child psychology, 89(2), 93–111. 10.1016/j.jecp.2004.05.001
    https://doi.org/10.1016/j.jecp.2004.05.001 [Google Scholar]
24. Meng, X., Shu, H., & Zhou, X.
    (2000) The relationship between tasks in Chinese reading developmental research. Psychological Science (China). 23(6), 677–681
    [Google Scholar]
25. Pacton, S., Perruchet, P., Fayol, M., & Cleeremans, A.
    (2001) Implicit learning out of the lab: the case of orthographic regularities. Journal of experimental psychology: General, 130(3), 401. 10.1037/0096‑3445.130.3.401
    https://doi.org/10.1037/0096-3445.130.3.401 [Google Scholar]
26. Patterson, K., Plaut, D. C., Mcclelland, J. L., Seidenberg, M. S., Behrmann, M., & Hodges, J. R.
    (1996) Connections and disconnections: A connectionist account of surface dyslexia. Neural Modeling of Brain and Cognitive Disorders (pp.177–199). 10.1142/9789812819819_0008
    https://doi.org/10.1142/9789812819819_0008 [Google Scholar]
27. Perfetti, C. A., & Zhang, S.
    (1991) Phonological processes in reading Chinese characters. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17(4), 633–643.
    [Google Scholar]
28. Redington, M., & Chater, N.
    (1997) Probabilistic and distributional approaches to language acquisition. Trends in Cognitive Sciences, 1(7), 273–281. 10.1016/S1364‑6613(97)01081‑4
    https://doi.org/10.1016/S1364-6613(97)01081-4 [Google Scholar]
29. Rohde, D.
    (2005) Linger experiment presentation software. tedlab.mit.edu/~dr/Linger/
    [Google Scholar]
30. Rueckl, J. G., Paz-Alonso, P. M., Molfese, P. J., Kuo, W. J., Bick, A., Frost, S. J., … & Lee, J. R.
    (2015) Universal brain signature of proficient reading: Evidence from four contrasting languages. Proceedings of the National Academy of Sciences, 112(50), 15510–15515. 10.1073/pnas.1509321112
    https://doi.org/10.1073/pnas.1509321112 [Google Scholar]
31. Saffran, J. R., Aslin, R. N., & Newport, E. L.
    (1996) Statistical learning by 8-month-old infants. Science, 2741, 5294. 10.1126/science.274.5294.1926
    https://doi.org/10.1126/science.274.5294.1926 [Google Scholar]
32. Schielzeth, H., Dingemanse, N. J., Nakagawa, S., Westneat, D. F., Allegue, H., Teplitsky, C., … & Araya-Ajoy, Y. G.
    (2020) Robustness of linear mixed-effects models to violations of distributional assumptions. Methods in ecology and evolution, 11(9), 1141–1152. 10.1111/2041‑210X.13434
    https://doi.org/10.1111/2041-210X.13434 [Google Scholar]
33. Shu, H.
    (2003) Chinese writing system and learning to read. International Journal of Psychology, 38(5), 274–285. 10.1080/00207590344000060
    https://doi.org/10.1080/00207590344000060 [Google Scholar]
34. Tan, L. H., Liu, H. L., Perfetti, C. a, Spinks, J. a, Fox, P. T., & Gao, J. H.
    (2001) The neural system underlying Chinese logograph reading. NeuroImage, 13(5), 836–46. 10.1006/nimg.2001.0749
    https://doi.org/10.1006/nimg.2001.0749 [Google Scholar]
35. Tan, L. H., Spinks, J. a, Gao, J. H., Liu, H. L., Perfetti, C. a, Xiong, J., … Fox, P. T.
    (2000) Brain activation in the processing of Chinese characters and words: a functional MRI study. Human brain mapping, 10(1), 16–27. 10.1002/(SICI)1097‑0193(200005)10:1<16::AID‑HBM30>3.0.CO;2‑M
    https://doi.org/10.1002/(SICI)1097-0193(200005)10:1<16::AID-HBM30>3.0.CO;2-M [Google Scholar]
36. Wang, T., Cooper Borkenhagen, M., Barker, M., & Seidenberg, M. S.
    (2022) Meanings within meanings: skilled readers activate irrelevant meanings of radicals in Chinese. Reading and Writing, 35(6), 1381–1399. 10.1007/s11145‑022‑10260‑y
    https://doi.org/10.1007/s11145-022-10260-y [Google Scholar]
37. Yang, J., Cai, Q., & Tian, X.
    (2020) How do we segment text? Two-stage chunking operation in reading. eNeuro, 111, 0425. 10.1523/ENEURO.0425‑19.2020
    https://doi.org/10.1523/ENEURO.0425-19.2020 [Google Scholar]
38. Zhou, X., Shu, H., Bi, Y., & Shi, D.
    (1999) Is there phonologically mediated access to lexical semantics in reading Chinese. Reading Chinese Script: A Cognitive Analysis, 135–171.
    [Google Scholar]