1. Introduction

This article introduces the dual characteristics of corpus linguistics as a methodology and theoretical system, emphasizing the theoretical concerns inherent in its research methods. The article systematically reviews classic and cutting-edge research methods, and explores their impact on the theoretical construction of corpus linguistics. The core essence is summarized as the "Three Ts": text, tools, and theory, with tools serving as a bridge connecting text and theory. The article takes the "probabilistic context co selection view" as the framework, analyzes the various links of text collection, tool application, and theoretical interpretation, emphasizes the role of contextual factors in semantic communication and comprehension, and how to solve language misuse problems through context co selection analysis.

2. Text in Corpus Research Methods

Discussed the importance and characteristics of text in corpus research. It is pointed out that the commonly used corpus sizes in linguistic research are relatively small, and large-scale corpora mainly come from web crawling. The quality of unfiltered web corpora varies greatly, making it difficult to directly use them for language research. Linguistic research requires high standardization and contextual variables in corpus, and factors such as the representativeness of the text in the corpus, the time and place of its generation, the speaker's occupation, and gender have significant impacts on the direction of theoretical exploration. There are significant differences in the requirements for text quality between corpora in the field of artificial intelligence and corpora in the field of language research. The former emphasizes "quantity", while the latter requires a balance between "quality" and "quantity". The current progress in artificial intelligence research has also had a certain impact on the quality of "real texts" in corpus linguistics. In language teaching and research practice, larger authoritative corpora such as COCA, BNC, etc. are generally selected, and researchers are also encouraged to build or use small but sophisticated corpora. When constructing a corpus, the key contextual factors that generate the text should be recorded. In short, text is an important carrier for corpus research, and its quantity and quality are equally important. Attention should be paid to the social, cultural, situational, and multimodal variables used in the text.

3. Analysis methods in corpus research methods

This chapter delves into the analysis techniques of corpus research methods and divides the development of research methods into the classical era and the post classical era. The research methods of the classical era mainly include word frequency tables, word clusters, index analysis, collocation analysis, topic word analysis, and multidimensional analysis, focusing on retrieving and querying the usage and frequency of specific words or phrases. These methods search for specific language phenomena in a large amount of text and analyze them through descriptive statistical methods. The research methods of the classical era are still widely used in the post classical era, and have been expanded and upgraded.

Theoretical Implications for Corpus Research Methods

In the post classical era, the theoretical implications of corpus research methods are reflected in multiple aspects. Sinclair's theory of vocabulary and grammar has had a profound impact on linguistics, as its philosophy eliminates the boundary between vocabulary and grammar and promotes the formation of a continuous view of vocabulary grammar. The development of corpus linguistics, especially Biber's domain research and local grammar research, has provided an effective path for the usage configuration of language units, and combined with speech act theory, has expanded the research content of corpus pragmatics. Quirk's principle of exhaustive interpretation and Labov's principle of interpretability are fully reflected in the post classical era, and the diverse overview of corpus methods touches upon the mechanisms and laws of language use. Corpus linguists have shifted their focus from the overuse and underuse of language units to exploring the use of language features in context, gradually moving towards deeper level issues. In the past sixty years, corpus linguistics research has been closely related to tool technology, method design, and language theory. The dimensions of language description are broad and detailed, comprehensive and in-depth, deepening the theoretical understanding of language. The corpus language research method enriches our understanding of linguistic theory and will bring new methodological and theoretical contributions to language understanding. From the classical era to the post classical era, the development of corpus linguistics has gone through a process from point to line, from line to surface, and from surface to body, emphasizing the exploration of meaning and function from the co selection rules of language features. This may be one of the important starting points for the construction of corpus linguistics theory in the future.

5. Conclusion

The research methods of corpus in the post classical era cover construction, analysis, and theoretical interpretation, emphasizing holographic and holistic perspectives. These methods can achieve comprehensive examination, but there are issues with complex operations and the need for concise data presentation. Research should avoid simplifying language into a "bag of words model" and instead focus on semantic representation and semantic selection in context. Corpus research should return to semantic research and focus on the correspondence between form and meaning. The shift of core data from linear text to determinant data heralds a new stage of development. Tool technology is an auxiliary means, and delving into the essence of language is the fundamental task of linguists.