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Study On The Causal Category In Modern Chinese

Posted on:2021-02-02Degree:DoctorType:Dissertation
Country:ChinaCandidate:T ZhangFull Text:PDF
GTID:1365330623477195Subject:Linguistics and Applied Linguistics
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Causality is a ubiquitous relationship,and each nation chooses different language means to characterize it.All kinds of disciplines have always been studied on causality.Causality is a category of semantic relations,which is a semantic relationship that language often has to express.In the past,the study of causality was analyzed in a compound sentence,called a causal compound sentence.Complex sentences are undoubtedly an important unit of language structure in modern Chinese.These studies provide many useful explanations for people to understand the language expression of causality in Chinese.However,there are some problems in these studies:starting from the form,limiting the causal relationship to the complex sentence framework,although it can explain some causal semantics,it is obviously not comprehensive;the semantic interpretation of causality is not deep,only the appearance of the complex sentence appears.The causal and result sentences do not fully understand the causal semantic category.In view of this,the study of causality can be further considered.The specific idea is: from the category of causal semantics,causality and logic have a strong correspondence law,so start from the logic,explain the logical essence of causality to find out its category characteristics,and think that the nature of causality is reasoning,generally speaking Causality is basically a reasoning relationship in logic.Based on this,the logical semantic types of modern Chinese causal categories are analyzed to construct the causal semantic category.On the basis of semantic categories,the possible language expressions of causality in modern Chinese are summarized.Therefore,starting from the category of causal semantics,establishing a system of semantic categories,and then describing its possible form performance,is not only feasible but also necessary.In the study of Chinese grammar,the semantics of causality is actually mentioned,but it is not discussed as a category of relational semantics,but as ameaning of grammatical form.Determining the so-called syntactic format from the form: phrases,sentence patterns,sentence patterns,although it seems to have some interpretation of the semantics of its control,but because of the control of form,it also obscures many aspects of the causal semantic category.Therefore,starting from the category of causal semantics,establishing a system of semantic categories,and then describing its possible form performance,is not only feasible but also necessary.The main contents of this article are:The first chapter introduces the object,the idea,the research method and the source of the corpus,the meaning of the topic.The second chapter is a review of the research status at home and abroad.It mainly studies the traditional grammar of causal complex sentences,the study of causal complex sentences/cognitive semantics and pragmatics,the negative side of logical reasoning of causal complex sentences,and other related aspects of causal complex sentences.The third chapter mainly analyzes the nature and characteristics of the causal semantic category.Causality is the category of causality that is common to human beings.To clearly understand causality,we need to explain its nature and characteristics from the perspective of categories.The causal relationship we use is usually the use of its nature and characteristics.The logic of human thinking often determines its deep semantic structure.From a logical point of view,the essence of causality is reasoning.The understanding and expression of causality are based on reasoning: the process of knowing the judgment to introduce new judgments.First of all,the research object of causality category is the causal relationship between events,which is the relationship between the objects: causing and causing,causing and generating.Not all two events that occur in succession can be identified as causality,but the cause event must occur before the outcome event.That is,the leading phenomenon of things will inevitably lead to the emergence of follow-up phenomena.Therefore,[temporary] is an important feature of understanding it as a causal relationship.Secondly,there is an interaction between cause and result.The reason is the event that can cause certain events or situations.The result refers to the event that is caused by the action of the cause.The "cause" brings results,and the causalrelationship shows [causality].Finally,by analyzing the nature of causality,it is found to be a kind of reasoning,and causality expression is a process based on reasoning.The nature of reasoning means that from reason to result,it is a process of derivation.Based on this,we summarize another characteristic of the category of causality[argumentative].The fourth chapter analyzes the semantic types of causal semantic categories from the logic.Starting from the logic,the category of causality is established,and the various semantics are combined to present the essence of the whole causal relationship category--reasoning.And dynamically analyze and contrast the reasoning process of causality expression.Based on the logical nature of causality-reasoning,the causal relationship category is based on its logical semantic relationship,and the semantic type of causal category is analyzed.It is mainly divided into: causality based on hypothetical reasoning(including causality based on sufficient conditional hypothesis and causal relationship containing necessary conditional hypothesis),causality based on analogical reasoning,causality based on inductive reasoning,based on Causal relationship of choice reasoning,causality based on dilemma reasoning,causality based on hypothetical joint reasoning,causality based on joint reasoning,causality based on direct reasoning,causality based on syllogism,modal based There are a total of ten causal relationships in reasoning.The reason of classification,the characteristics of semantics,and the reasoning process behind it are analyzed in detail.The dynamic use of causality classification based on logical reasoning to identify some causal related expression problems.The fifth chapter starts from the semantic category features and semantic types,and summarizes the means of language expression of causal semantics.Modern Chinese is always based on various logical semantic types when selecting specific expression means,and always reflects at least one of the basic characteristics of causal semantic categories,such as verb-like causal markers.The type of inference semantics based on the category characteristics of causality and the category of causality.Inductive and analysis of causal markers in modern Chinese,the vocabulary class markers include(conjunctions,adverbs,prepositions,auxiliary words),and thereal word class markers include(nouns,verbs),in which verb-like causal markers are divided into(results;influences;causes);according to the class;generating the class;means class;state change class).And from the point of referring to the "premise" or "conclusion",what kind of inference semantic type is used to examine the location and feature classification,and briefly analyze the reasoning-based causality types of various causal markers,such as prepositional causal markers.Multiple referential are causal based on sufficient conditional hypothesis.The sixth chapter,from the category of cause and effect,further analyzes the realization of the category of cause and effect in the specific discourse sequence,and examines the common position of cause and effect markers in the discourse.The realization of causality also has different choice of sentence type.Causality expression is widely used in declarative sentence,interrogative sentence and imperative sentence.Cause and effect markers of both alleged causes is the causal marker of the referential conclusion and does not conflict with the declarative sentence.
Keywords/Search Tags:Causality Category, Logical Semantics, Reasoning, Category Characteristics, Form
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