undergraduate thesis: A multi-level analytic approach to discourse production : normative performance and task effect

TitleA multi-level analytic approach to discourse production : normative performance and task effect
Authors
Issue Date2019
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Lam, W. S. [林穎詩]. (2019). A multi-level analytic approach to discourse production : normative performance and task effect. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractThis study applied a systematic multi-level analytic approach to Cantonese spoken discourse. Sixteen linguistic measures addressing lexical, syntactic, discourse and informativeness level were adopted to analyze the discourse productions of neurologically unimpaired participants. Language data of 150 neurologically unimpaired participants were extracted from the Cantonese AphasiaBank and elicited by a sequential picture task, a single picture description task and a storytelling task. This study aimed to explore the effect of task on linguistic performance, investigate correlations across linguistic levels and examine the predictors for informativeness. Results revealed that linguistic performance is affected by type of discourse tasks. Correlations were found across linguistic levels, especially between lexical and discourse level. Story grammar total score was found to be a significant predictor for main concept score. The results clearly demonstrate clinical significance. First, it has established normative data with reference to discoure task, age, gender and education level. Second, it has provided insight for language assessment and therapy by confirming task effect on linguistic performance.
DegreeBachelor of Science in Speech and Hearing Sciences
SubjectCantonese dialects - Discourse analysis
Dept/ProgramSpeech and Hearing Sciences
Persistent Identifierhttp://hdl.handle.net/10722/309750

 

DC FieldValueLanguage
dc.contributor.authorLam, Wing Sze-
dc.contributor.author林穎詩-
dc.date.accessioned2022-01-05T15:07:43Z-
dc.date.available2022-01-05T15:07:43Z-
dc.date.issued2019-
dc.identifier.citationLam, W. S. [林穎詩]. (2019). A multi-level analytic approach to discourse production : normative performance and task effect. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/309750-
dc.description.abstractThis study applied a systematic multi-level analytic approach to Cantonese spoken discourse. Sixteen linguistic measures addressing lexical, syntactic, discourse and informativeness level were adopted to analyze the discourse productions of neurologically unimpaired participants. Language data of 150 neurologically unimpaired participants were extracted from the Cantonese AphasiaBank and elicited by a sequential picture task, a single picture description task and a storytelling task. This study aimed to explore the effect of task on linguistic performance, investigate correlations across linguistic levels and examine the predictors for informativeness. Results revealed that linguistic performance is affected by type of discourse tasks. Correlations were found across linguistic levels, especially between lexical and discourse level. Story grammar total score was found to be a significant predictor for main concept score. The results clearly demonstrate clinical significance. First, it has established normative data with reference to discoure task, age, gender and education level. Second, it has provided insight for language assessment and therapy by confirming task effect on linguistic performance. -
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshCantonese dialects - Discourse analysis-
dc.titleA multi-level analytic approach to discourse production : normative performance and task effect-
dc.typeUG_Thesis-
dc.description.thesisnameBachelor of Science in Speech and Hearing Sciences-
dc.description.thesislevelBachelor-
dc.description.thesisdisciplineSpeech and Hearing Sciences-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2019-
dc.identifier.mmsid991044452135603414-

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