English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Constrained structure of ancient Chinese poetry facilitates speech content grouping

MPS-Authors
/persons/resource/persons212714

Teng,  Xiangbin
Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

Yang,  Jinbiao
Division of Arts and Sciences, New York University Shanghai;
NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai;
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;
Centre for Language Studies, Radboud University;

/persons/resource/persons198262

Blohm,  Stefan
Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Teng, X., Ma, M., Yang, J., Blohm, S., Cai, Q., & Tian, X. (2020). Constrained structure of ancient Chinese poetry facilitates speech content grouping. Current Biology, 30(7), 1299-1305. doi:10.1016/j.cub.2020.01.059.


Cite as: http://hdl.handle.net/21.11116/0000-0005-D5A6-F
Abstract
Ancient Chinese poetry is constituted by structured language that deviates from ordinary language usage [1, 2]; its poetic genres impose unique combinatory constraints on linguistic elements [3]. How does the constrained poetic structure facilitate speech segmentation when common linguistic [4, 5, 6, 7, 8] and statistical cues [5, 9] are unreliable to listeners in poems? We generated artificial Jueju, which arguably has the most constrained structure in ancient Chinese poetry, and presented each poem twice as an isochronous sequence of syllables to native Mandarin speakers while conducting magnetoencephalography (MEG) recording. We found that listeners deployed their prior knowledge of Jueju to build the line structure and to establish the conceptual flow of Jueju. Unprecedentedly, we found a phase precession phenomenon indicating predictive processes of speech segmentation—the neural phase advanced faster after listeners acquired knowledge of incoming speech. The statistical co-occurrence of monosyllabic words in Jueju negatively correlated with speech segmentation, which provides an alternative perspective on how statistical cues facilitate speech segmentation. Our findings suggest that constrained poetic structures serve as a temporal map for listeners to group speech contents and to predict incoming speech signals. Listeners can parse speech streams by using not only grammatical and statistical cues but also their prior knowledge of the form of language.