Adult Chinese Spanish L2ers’ acquisition of phi-agreement and temporal concord: The role of morphosyntactic features and adverb/subject-verb distance

• Published in: Frontiers in psychology Vol. 13; p. 1007828
• Main Authors: Mao, Tiaoyuan, Biondo, Nicoletta, Zheng, Zilong
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 22.12.2022
• Subjects: adverb-verb temporal concord; Chinese Spanish L2ers; morphosyntax; processing mechanisms; Psychology; self-paced reading; subject-verb agreement; processing mechanisms; adverb-verb temporal concord; subject-verb agreement; morphosyntax; Chinese Spanish L2ers; self-paced reading
• ISSN: 1664-1078; 1664-1078
• DOI: 10.3389/fpsyg.2022.1007828

While phi-agreement and concord are suggested to differ in nature during the first language (L1) acquisition, the acquisition of adverb-verb TC and SV person/number agreement by Chinese Spanish second language (L2) learners has only received limited attention. The current study examined morphosyntactic processing by advanced Chinese Spanish L2 learners (L2ers), whose L1 lacks the explicit morphological marking of tense and phi-agreement. Chinese Spanish L2ers and native Spanish speakers were asked to complete a self-paced grammaticality judgment task, where the grammaticality of adverb-verb TC and SV person/number agreement as well as the adverb/subject-verb distance were manipulated. For both native Spanish speakers and L2ers, SV agreement violations are detected earlier and judged more accurately than adverb-verb TC violations. Furthermore, L2ers process SV number agreement less efficiently than SV person agreement (but as efficiently as adverb-verb TC). And there is no influence of the adverb/subject-verb distance on the processing of verbal inflection. This study suggests that advanced Chinese Spanish L2ers tend to use native-like cognitive mechanisms for phi-agreement and concord computations, though their sensitivity to agreement violations may be further influenced by the morphosyntactic feature involved.