
What are the key features of Chinese topic-comment construction
The key features of Chinese topic-comment construction include the following:
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Topic Prominence: Chinese is a topic-prominent language, where the topic often appears at the beginning of a sentence, serving as the theme or what the sentence is about. The comment then provides information or a statement about this topic.
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Information Structure: Topic-comment construction is used to organize information by separating known or given information (the topic) from new or important information (the comment), helping optimize communication and comprehension.
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Flexibility: The topic in Chinese sentences can be omitted if it is clear from context, and multiple topic-comment pairs can be present in a sentence, allowing layered or chained topics.
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Pragmatic Function: This construction facilitates pragmatic functions, including emphasis, contrast, and topic shifts, making it an essential feature in discourse and conversation management.
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Semantic and Syntactic Characteristics: The topic and comment have a semantic relationship, often reflecting a cognitive or discourse-based organization. Syntactically, the topic is often fronted before the comment, which is generally predicative.
These features contribute to the unique way Chinese structures and conveys information compared to subject-prominent languages like English. 7, 9, 18, 19
References
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Topic Analysis of Chinese Documents Based on Key Phrases and Latent Dirichlet Allocation Model
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Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach
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Comparative analysis of the topic-comment structure in Chinese and Russian
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ASKDetector: An AST-Semantic and Key Features Fusion based Code Comment Mismatch Detector
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Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model
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Xinyu: An Efficient LLM-based System for Commentary Generation
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Building Chinese Discourse Corpus with Connective-driven Dependency Tree Structure
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Sequential Annotation and Chunking of Chinese Discourse Structure
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NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
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Chinese Topic Chains: An Analysis of the Topic Chains Used in Fortress Besieged
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The Periphrastic Topic Structures in Chinese-English Interlanguage