Understanding the in-depth AI Big Data Analysis application through Diversified Integration and Development of Functional Linguistics

Abstract

ABSTRACT For promoting functional linguistic system integration, the in-depth application of artificial intelligence-big data information analysis and technological processing has provided the core technical means in recent years. Perhaps, related to artificial intelligence (AI) big data analysis, the multiple integrations of functional linguistics have frequently encountered obstacles in applications. As a result, it has created major challenges for the in-depth development of functional linguistics. The related concepts of functional linguistics development and artificial intelligence are sorted out under this background. On this basis, under the background of AI-big data analysis, the functional linguistic technological integration and internal integration are analyzed. Furthermore, to promote in-depth functional linguistics development, this study provides several suggestions, such as optimizing a distributed cluster environment, building a functional language data platform, adopting models, data-parallel modes, and distributing neural network parallel training. These suggestions provide some reference for theoretical linguistic research and enriching functions. Further put forward several suggestions to promote the in-depth development of functional linguistics, such as building a functional language data platform, optimizing a distributed cluster environment, distributing neural network parallel training, adopting models, and data-parallel modes to promote the in-depth development of functional linguistics, in order to provide some reference for enriching functions and linguistic theoretical research. REFERENCES [1] D. L. Zhang. Exploration on the Development Trend of System Functional Linguistics in 60 Years. Foreign Language Teaching and Research, 50(1):39–50, 2018. [2] H. Jiang and A.G. Zhao. The Generation Background and Academic Inheritance of Functional Grammar Theory and System Functional Linguistics. Foreign Language and Foreign Language Teaching, 31(2):32–37, 2014. [3] X.N. Li and X.Y. Fan. Research on Knowledge Representation Method in System Functional Linguistics. Journal of University of Science and Technology Beijing (Social Science Edition), 16(3):26–30, 2015. [4] G.Z. Xiao. Grammatical Events and Semantic Events-Language Research for Artificial Intelligence. Yangtze River Academic, 15(2):82–98, 2020. [5] C.W. Yuan, C.Y. Liu, and S.L. Chang. Correspondence between System Functional Linguistics and Corpus. Foreign Language, 32(1):104–109, 2016. [6] Y.Y. Group Construction in Weibo: A New Perspective of System Functional Linguistics. Dongyue Review, 34(1):187–190, 2013. [7] A.M. The Study of Chinese and Foreign Texts Based on Systemic Functional Linguistics. Language Construction, 61(23):71–72, 2016.