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Abstract

Abstract

Passive sentences featuring absent agents are prevalent in both Chinese and English, yet the cognitive motivations behind these agents have not received sufficient attention. To fill the gap, the current study investigates the differences in comprehension difficulty metrics between passive sentences with and without agents in both languages. Using mixed-effects logistic regression and conditional inference tree models, we find that in Chinese passives, the inaccessibility of subjects and the low predictability of subject dependencies pose comprehension difficulty. Consequently, agents are absent to alleviate the difficulty by reducing the memory burden of subject dependencies. In English passives, the inaccessibility of subjects and the heavy memory load of subject dependencies cause comprehension difficulty. Therefore, agents are absent to mitigate this difficulty by eliminating the memory burden of processing the dependencies between verbs and agents. In conclusion, overall efficient comprehension drives the absence of agents in passive sentences across both Chinese and English.

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/content/journals/10.1075/rcl.00224.xie
2025-08-18
2026-02-12
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References

  1. Ariel, M.
    (1990) Accessing noun-phrase antecedents. London & New York: Routledge.
    [Google Scholar]
  2. Baayen, R. H., Davidson, D. J., & Bates, D. M.
    (2008) Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, (), –. 10.1016/j.jml.2007.12.005
    https://doi.org/10.1016/j.jml.2007.12.005 [Google Scholar]
  3. Bates, D. M., Mächler, M., Bolker, B., & Walker, S.
    (2015) Fitting linear mixed effect models using lme4. Journal of Statistical Software, (), –. 10.18637/jss.v067.i01
    https://doi.org/10.18637/jss.v067.i01 [Google Scholar]
  4. Bock, J. K., & Warren, R. K.
    (1985) Conceptual accessibility and syntactic structure in sentence formulation. Cognition, , –. 10.1016/0010‑0277(85)90023‑X
    https://doi.org/10.1016/0010-0277(85)90023-X [Google Scholar]
  5. Boston, M. F., Hale, J. T., Vasishth, S., & Kliegl, R.
    (2011) Parallelism and syntactic processes in reading difficulty. Language and Cognitive Processes, (), –. 10.1080/01690965.2010.492228
    https://doi.org/10.1080/01690965.2010.492228 [Google Scholar]
  6. Bresnan, J., Cueni, A., Nikitina, T., & Baayen, R. H.
    (2007) Predicting the dative alternation. InG. Bouma, I. Kramer & J. Zwarts (Eds.), Cognitive foundations of interpretation (pp. –). Amsterdam: Royal Netherlands Academy of Arts and Sciences.
    [Google Scholar]
  7. Chen, P.
    (2004) Identifiability and definiteness in Chinese. Linguistics, (), –. 10.1515/ling.2004.42.6.1129
    https://doi.org/10.1515/ling.2004.42.6.1129 [Google Scholar]
  8. Church, K., & Hanks, P.
    (1990) Word association norms, mutual information, and lexicography. Computational Linguistics, (), –.
    [Google Scholar]
  9. Clifton, C.
    (2013) Situational context affects definiteness preferences: Accommodation of presuppositions. Journal of Experimental Psychology: Learning, Memory, and Cognition, (), –. 10.1037/a0028975
    https://doi.org/10.1037/a0028975 [Google Scholar]
  10. Croft, W., & Cruse, D. A.
    (2004) Cognitive Linguistics. Cambridge: Cambridge University Press. 10.1017/CBO9780511803864
    https://doi.org/10.1017/CBO9780511803864 [Google Scholar]
  11. Dai, Z. Y., Liu, H. T., & Yan, J. W.
    (2023) Revisiting English written VP-ellipsis and VP-substitution: A dependency-based analysis. Linguistics Vanguard, (), –. 10.1515/lingvan‑2022‑0088
    https://doi.org/10.1515/lingvan-2022-0088 [Google Scholar]
  12. Fang, Y. J., & Liang, M. C.
    (2019) Kebi yujing xia guanxi daici qushe de duoyinsu fenxi [A comparable context-based multifactorial analysis of relativizer omission by Chinese EFL learners and native speakers of English]. Waiyu Jiaoxue yu Yanjiu [Foreign Language Teaching and Research], (), –.
    [Google Scholar]
  13. Fang, Y., & Liu, H. T.
    (2022) Locality effects and predictability in sentence construction: An investigation of ba sentences and SVO sentences in Mandarin Chinese. Journal of Chinese Linguistics, (), –. 10.1353/jcl.2022.0005
    https://doi.org/10.1353/jcl.2022.0005 [Google Scholar]
  14. Garretson, G.
    (2004) Coding practices used in the project optimal typology of determiner phrases [Unpublished manuscript]. Boston: Boston University. https://docslib.org/doc/648331/coding-practices-used-in-the-project-optimal-typology-of-determiner-phrases
    [Google Scholar]
  15. Gibson, E.
    (2000) The dependency locality theory: A distance-based theory of linguistic complexity. InA. P. Marantz, Y. Miyashita & W. O’Neil (Eds.), Image, language, brain: Papers from the first mind articulation project symposium (pp.–). Cambridge: MIT Press. 10.7551/mitpress/3654.003.0008
    https://doi.org/10.7551/mitpress/3654.003.0008 [Google Scholar]
  16. Gildea, D., & Jaeger, T. F.
    (2015) Human languages order information efficiently. arXiv preprint arXiv: 1510.02823. 10.48550/arXiv.1510.02823
    https://doi.org/10.48550/arXiv.1510.02823 [Google Scholar]
  17. Givón, T.
    (1990) Syntax: A functional-typological Introduction, Vol. 2. Amsterdam & Philadelphia: John Benjamins.
    [Google Scholar]
  18. Gries, S. T.
    (2013) Statistics for linguistics with R: A practical introduction. Berlin: Mouton de Gruyter. 10.1515/9783110307474
    https://doi.org/10.1515/9783110307474 [Google Scholar]
  19. Gries, S. T., & Ellis, N. C.
    (2015) Statistical measures for usage-based linguistics. Language Learning, (), –. 10.1111/lang.12119
    https://doi.org/10.1111/lang.12119 [Google Scholar]
  20. Guan, S. M.
    (2022) “Bei”zi Goushi NP2 Yinxian de Duoyinsu Yanjiu — Kua Bianti de Shijiao [A multifactorial analysis of NP2 occurrence in Chinese Bei construction: A cross-variety perspective] [Unpublished master’s thesis]. Shanghai: Shanghai International Studies University.
    [Google Scholar]
  21. Hahn, M., & Xu, Y.
    (2022) Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality. Proceedings of the National Academy of Sciences, (), . 10.1073/pnas.2122604119
    https://doi.org/10.1073/pnas.2122604119 [Google Scholar]
  22. Horn, L. R.
    (1984) Toward a new taxonomy for pragmatic inference: Q-based and R-based implicature. InD. Schiffrin (Ed.), Meaning, form, and use in context: Linguistic applications (pp.–). Washington, D.C.: Georgetown University Press.
    [Google Scholar]
  23. Jaeger, T. F., & Tily, H.
    (2011) On language ‘utility’: Processing complexity and communicative efficiency. Wiley Interdisciplinary Reviews: Cognitive Science, (), –. 10.1002/wcs.126
    https://doi.org/10.1002/wcs.126 [Google Scholar]
  24. Keenan, E. L., & Dryer, M. S.
    (1985) Passive in the world’s languages. InS. Timothy (Ed.), Language typology and syntactic description, Vol. 1: Clause structure (pp.–). Cambridge: Cambridge University Press. 10.1017/cbo9780511619427.006
    https://doi.org/10.1017/cbo9780511619427.006 [Google Scholar]
  25. Kilgarriff, A., Rychly, P., Smrz, P., & Tugwell, D.
    (2008) The Sketch Engine. InT. Fontenelle (Ed.), Practical lexicography: A reader (pp.–). Oxford: Oxford University Press. 10.1093/oso/9780199292332.003.0020
    https://doi.org/10.1093/oso/9780199292332.003.0020 [Google Scholar]
  26. Leding, J. K.
    (2018) The animacy advantage in memory: Manipulations of levels of processing and survival processing. The American Journal of Psychology, (), –. 10.5406/amerjpsyc.131.3.0273
    https://doi.org/10.5406/amerjpsyc.131.3.0273 [Google Scholar]
  27. Levshina, N.
    (2015) How to do linguistics with R: Data exploration and statistical analysis. Amsterdam & Philadelphia: John Benjamins. 10.1075/z.195
    https://doi.org/10.1075/z.195 [Google Scholar]
  28. Levy, R.
    (2008) Expectation-based syntactic comprehension. Cognition, (), –. 10.1016/j.cognition.2007.05.006
    https://doi.org/10.1016/j.cognition.2007.05.006 [Google Scholar]
  29. Li, J. R.
    (2010) Hanyu beidongju de dianxing xingshi jiqi lilun yiyi [Typical forms of Chinese passive sentences and their theoretical significance]. Dongfang Yuyanxue [Journal of East Linguistics], (), –.
    [Google Scholar]
  30. Li, S.
    (1994) Xiandai Hanyu “Bei”ziju Yanjiu [The study of bei sentences in Mandarin Chinese]. Beijing: Beijing University Press.
    [Google Scholar]
  31. Li, Y.
    (2024) Cognitive and sociolectal constraints on the theme-recipient alternation: evidence from Mandarin. Corpus Linguistics and Linguistic Theory. Advance online publication. 10.1515/cllt‑2023‑0127
    https://doi.org/10.1515/cllt-2023-0127 [Google Scholar]
  32. Liu, H. T.
    (2008) Dependency distance as a metric of language comprehension difficulty. Journal of Cognitive Science, (), –. 10.17791/jcs.2008.9.2.159
    https://doi.org/10.17791/jcs.2008.9.2.159 [Google Scholar]
  33. Liu, H. T., Xu, C. S., & Liang, J. Y.
    (2016) Dependency length minimization: Puzzles and promises. Glottometrics, , –.
    [Google Scholar]
  34. Liu, J. L., & Liu, H. T.
    (2021) A quantitative investigation of the ellipsis of English relativizers. Linguistics Vanguard, (), . 10.1515/lingvan‑2021‑0020
    https://doi.org/10.1515/lingvan-2021-0020 [Google Scholar]
  35. Manning, C. D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., & McClosky, D.
    (2014) The Stanford CoreNLP natural language processing toolkit. InK. Bontcheva & J. B. Zhu (Eds.), Proceedings of 52nd annual meeting of the association for computational linguistics: System demonstrations (pp.–). Baltimore: Association for Computational Linguistics. 10.3115/v1/P14‑5010
    https://doi.org/10.3115/v1/P14-5010 [Google Scholar]
  36. Martinet, A.
    (1955) Economie des changements phonétiques. Traité de phonologie diachronique. [The Economy of Phonetic Changes; Treatise of Diachronic Phonology]. Francke: Berne.
    [Google Scholar]
  37. Mauner, G., & Koenig, J-P.
    (1999) Lexical encoding of event participant information. Brain and Language, (), –. 10.1006/brln.1999.2096
    https://doi.org/10.1006/brln.1999.2096 [Google Scholar]
  38. (2000) Linguistic vs. conceptual sources of implicit agents in sentence comprehension. Journal of Memory and Language, (), –. 10.1006/jmla.1999.2703
    https://doi.org/10.1006/jmla.1999.2703 [Google Scholar]
  39. Mauner, G., Tanenhaus, M. K., & Carlson, G. N.
    (1995) Implicit arguments in sentence processing. Journal of Memory and Language, (), –. 10.1006/jmla.1995.1016
    https://doi.org/10.1006/jmla.1995.1016 [Google Scholar]
  40. Mo, H. X.
    (2002) “Bei”ziju zhong “bei”zi binyu youwu de zhiyue tiaojian [The restriction condition of the object of bei has or not in Chinese bei-construction]. Hangzhou Shifan Xueyuan Xuebao (Shehui Kexue Ban) [Journal of Hangzhou Normal University (Humanities and Social Sciences)], (), –.
    [Google Scholar]
  41. Niu, R. C., & Liu, H. T.
    (2022) Effects of syntactic distance and word order on language processing: An investigation based on a psycholinguistic treebank of English. Journal of Psycholinguistic Research, , –. 10.1007/s10936‑022‑09878‑4
    https://doi.org/10.1007/s10936-022-09878-4 [Google Scholar]
  42. Quirk, R., Greenbaum, S., Leech, G., & Svartvik, J.
    (1985) A comprehensive grammar of the English language. London: Longman.
    [Google Scholar]
  43. R Core Team
    R Core Team (2023) R: A language and environment for statistical computing (Version 4.3.2) [Computer software]. Vienna: Foundation for Statistical Computing. https://www.r-project.org/
    [Google Scholar]
  44. Rajkumar, R., Van Schijndel, M., White, M., & Schuler, W.
    (2016) Investigating locality effects and surprisal in written English syntactic choice phenomena. Cognition, , –. 10.1016/j.cognition.2016.06.008
    https://doi.org/10.1016/j.cognition.2016.06.008 [Google Scholar]
  45. Santazilia, E.
    (2022) Animacy and inflectional morphology across languages. Netherlands: Brill. 10.1163/9789004513068
    https://doi.org/10.1163/9789004513068 [Google Scholar]
  46. Sharma, K., Futrell, R., & Husain, S.
    (2020) What determines the order of verbal dependents in Hindi? Effects of efficiency in comprehension and production. InE. Chersoni, N. Hollenstein, C. Jacobs, Y. Oseki, L. Prévot & E. Santus (Eds.), Proceedings of the workshop on cognitive modeling and computational linguistics (pp.–). Stroudsburg: Association for Computational Linguistics. 10.18653/v1/2020.cmcl‑1.1
    https://doi.org/10.18653/v1/2020.cmcl-1.1 [Google Scholar]
  47. Shibatani, M.
    (1985) Passives and related constructions: A prototype analysis. Language, (), –. 10.2307/414491
    https://doi.org/10.2307/414491 [Google Scholar]
  48. Song, W. H., Luo, Z. J., & Yu, J. C.
    (2007) Xiandai hanyu beidongju shishi yinxian de jiliang fenxi [A quantitative analysis of the occurrence ratio of agent in contemporary Chinese passive constructions]. Zhongguo Yuwen [Studies of the Chinese Language], (), –.
    [Google Scholar]
  49. Thomson, A. J., & Martinet, A. V.
    (1986) A practical English grammar. Oxford: Oxford University Press.
    [Google Scholar]
  50. Tsao, F-F.
    (1996) On verb classification in Chinese. Journal of Chinese Linguistics, (), –.
    [Google Scholar]
  51. White, S. J., Denis, D., Liversedge, S. P., & Staub, A.
    (2018) The word frequency effect during sentence reading: A linear or nonlinear effect of log frequency?Quarterly Journal of Experimental Psychology, (), –. 10.1080/17470218.2016.1240813
    https://doi.org/10.1080/17470218.2016.1240813 [Google Scholar]
  52. Xiao, R., McEnery, T., & Qian, Y.
    (2006) Passive constructions in English and Chinese: A corpus-based contrastive study. Languages in Contrast, (), –. 10.1075/lic.6.1.05xia
    https://doi.org/10.1075/lic.6.1.05xia [Google Scholar]
  53. Xie, Y. H., Niu, R. C., & Liu, H. T.
    (2023) Contrasting the Chinese bei-passive and the English be-passive through dependency distance. InC. Huang, Y. Harada, J-B. Kim, S. Chen, Y-Y Hsu, E. Chersoni, A. Pranav, W. H. Zeng, B. Peng, Y. Li & J. Li (Eds.), Proceedings of the 37th Pacific Asia conference on language, information and computation (pp.–). Hong Kong: Association for Computational Linguistics.
    [Google Scholar]
  54. (2024) A corpus-based study on semantic and cognitive features of bei sentences in Mandarin Chinese. Corpus Linguistics and Linguistic Theory. Advance online publication. 10.1515/cllt‑2024‑0031
    https://doi.org/10.1515/cllt-2024-0031 [Google Scholar]
  55. Xu, J. J.
    (2014) “ToRCH2009 xiandai hanyu yuliaoku” jiancheng [Construction of “ToRCH2009 Modern Chinese corpus”]. Yuliaoku Yuyanxue [Corpus Linguistics], (), –.
    [Google Scholar]
  56. Xu, X. L., & Xu, J. J.
    (2021) Yiyan yinghan pingxing yuliaoku de chuangjian [Yiyan English-Chinese Parallel Corpus]. Yuliaoku Yuyanxue [Corpus Linguistics], (), –.
    [Google Scholar]
  57. Zhan, W. D., Guo, R., Chang, B. B., Chen, Y. R., & Chen, L.
    (2019) Beijing daxue CCL yuliaoku de yanzhi [The development of the Peking University CCL Corpus]. Yuliaoku Yuyanxue [Corpus Linguistics], (), –.
    [Google Scholar]
  58. Zhu, D. X.
    (1982) Yufa Jiangyi [Lectures on Grammar]. Beijing: The Commercial press.
    [Google Scholar]
  59. Zipf, G. K.
    (1949) Human behavior and the principle of least effort: An introduction to human ecology. Cambridge: Addison-Wesley Press.
    [Google Scholar]
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  • Article Type: Research Article
Keywords: passive sentence ; comprehension difficulty ; statistical model ; absent agent
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