Predicting native Chinese readers’ perception of sentence boundaries in written Chinese texts

• Published in: Reading & writing Vol. 35; no. 8; pp. 1889 - 1910
• Main Authors: Sun, Kun, Lu, Xiaofei
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.10.2022; Springer; Springer Nature B.V
• Subjects: Chinese; Clauses; Conjunctions; Education; Language and Literature; Linguistics; Literacy; Mandarin; Mandarin Chinese; Native Speakers; Neurology; Predictor Variables; Psycholinguistics; Punctuation; Reading Comprehension; Reading processes; Regression (Statistics); Semantics; Sentence structure; Sentences; Social Sciences; Speech perception; Stimuli; Syntax; Written Language; Corpus annotation; Logistic regression models; Re-punctuation; Sentence boundary perception
• ISSN: 0922-4777; 1573-0905
• DOI: 10.1007/s11145-022-10272-8

The notion of sentencehood in Mandarin Chinese is much less well-defined than in many other languages, with a block of clauses often joined by commas without conjunctions and with the period often occurring at the end of a block of clauses to indicate meaning completeness rather than the completeness of a sentential structure. The potential factors that may affect native Chinese speakers’ judgment of meaning completeness and perception of sentence boundaries have not yet been systematically examined. In light of this research gap, this study investigates the factors that may play a role in native Chinese speakers’ sentence boundary perception. To this end, we conducted text re-punctuation experiments in two separate groups, a training group and a testing group, using different stimuli texts. The stimuli texts were annotated with multiple levels of linguistic information to identify potentially relevant variables that could affect the participants’ sentence boundary perception. Logistic regression and the Bayesian statistical methods were applied to test the potential effects of multiple variables on the participants’ responses. The logistic regression model trained on the data from the training group achieved a high level of accuracy in predicting the responses by the testing group. The model revealed a more important role of semantic information than syntactic information in the participants’ sentence boundary perception. The implications of our findings for understanding the perception of Chinese sentence boundaries are discussed.