Degree adverbs in spoken Mandarin
A behavioral profile corpus‑based approach to language alternatives
Managing near-synonymous morphosyntactic constructions in language is often at the core of a speaker’s grammatical competence. This study investigates the usage patterns of four near-synonymous degree adverb constructions (i.e., hěn, tài, mán, and chāo) in the Taiwan Mandarin Corpus in TalkBank. After retrieving the concordance lines of these four constructions from the corpus, we manually annotated their co-occurring linguistic patterns/structures at multiple linguistic levels. In particular, we utilized a corpus-based behavioral profile approach to determine the interrelationship of the four constructions based on their distributional patterns and identified their distinctive behavioral patterns, producing a comprehensive delineation of their functional differences. Our analysis suggests that these four constructions fall into two super-clusters, i.e., chāo-mán and tài-hěn. Chāo and mán differ mainly in the pragmatic sentiments of their associated predicates, their co-occurrences with the nominalization structure, and their productivity in lexicalization. Tài and hěn differ mainly in their co-occurrences with the final particle -le, the semantic and pragmatic functions of their associated predicates, and the semantics of their associated head nouns. We have also connected these corpus-based distributional patterns to previous research findings, demonstrating the effectiveness and applicability of the behavioral profile approach for the analysis of near-synonymous morphosyntactic alternations in language.
Article outline
- 1.Introduction
- 2.Literature review
- 2.1Behavioral profile
- 2.2Degree adverbs in Mandarin
- 2.3Research questions
- 3.Methods
- 3.1Data
- 3.2Data extraction
- 3.3Data annotation
- 3.4Data analysis
- 4.Results and discussions
- 4.1Behavioral profile of chāo versus mán
- 4.2Behavioral profile of tài versus hěn
- 4.3Discussion
- 5.Conclusion
- Acknowledgements
- Notes
- List of abbreviations
-
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