Drawing on media interview materials, this book takes a holistic approach to examining the Chinese discourse marker ni zhidao ( , meaning "you know"), thereby contributing to a deeper understanding of discourse markers in Chinese language use and broader linguistic studies.

Using a mixed-methods approach that combines quantitative and qualitative analyses, the study explores the marker's utterance positions, semantic properties, prosodic features, and pragmatic functions. The research employs a corpus-based methodology with interview transcripts as data sources to examine ni zhidao's distribution across utterance positions and its prosodic characteristics, including speech rate, pause duration, pitch, and intensity. It also explores the interrelationships among these features. The qualitative analysis delves into the marker's semantic status, refining its core and procedural meanings, while also exploring its textual and interpersonal pragmatic functions. It challenges existing assumptions about discourse markers, particularly their positioning tendencies, offering new insights into their role in communication. A key innovation of this work is its integrated approach to investigating the connections between the positioning, semantics, prosody, and functions of ni zhidao.

This study will be an invaluable reference for researchers and students of linguistics, pragmatics, and Chinese language studies, particularly those interested in discourse markers.



Autorentext

Yi Shan is a professor at Jiaxing University, China. His research focuses on pragmatics, particularly discourse analysis, research methods in linguistics, and health translation.

Weiwei Chu is a Ph.D. candidate at the College of Foreign Languages and Literature, Fudan University, China. Her research interests include discourse analysis, Systemic Functional Linguistics, and translation.

Titel
The Discourse Marker ni zhidao ("You Know") in Chinese Spontaneous Speech
EAN
9781040445716
Format
PDF
Veröffentlichung
30.10.2025
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
4.32 MB
Anzahl Seiten
228