Processing Chinese object-topicalization structures in simple and complex sentences

Abstract: Chinese has the basic word order of Subject-Verb-Object (SVO), yet it is also known as a topic-prominent language, where an object can be topicalized from within a relative clause as well as from a main clause. In parsing Topic-Subject-Verb (TSV) structures, will a Chinese comprehender have difficulties in recognizing the second noun phrase (NP2) as the subject and in integrating the initial topic noun with the verb? Experience/surprisal-based theories and memory-based theories make testable predications at the NP2 and critically, at the verb. Focusing on these two regions in three self-paced reading experiments, we compared reading time patterns between TSVs and canonical SVOs in simple or complex sentences. Converging evidence showed processing costs at or prior to the NP2 in TSVs compared to SVOs, but no retrieval or integration costs at the verb regardless of dependency lengths. Our results are not predicted by memory-based theories, but are consistent with the predictions of experience/surprisal-based theories, suggesting that Chinese TSV processing is guided by structural frequencies and a universal subject-reading bias, with completion of dependency between topic and the verb (or empty category) likely to be fundamentally semantic.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Processing Chinese object-topicalization structures in simple and complex sentences ; volume:62 ; number:6 ; year:2024 ; pages:1339-1378 ; extent:40 ; Linguistics ; 62, Heft 6 (2024), 1339-1378 (gesamt 40)

Beteiligte, Orts- und Zeitangaben

• Urheber: Wu, Fuyun ; Wang, Fang ; Li, Jinman

Weitere Informationen

• DOI: 10.1515/ling-2022-0118
• URN: urn:nbn:de:101:1-2411111716221.681567721430
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 15.08.2025, 07:32 MESZ