Corpus Linguistics Research in the Era of Artificial Intelligence – DENG Yaochen
人工智能时代口译技术应用研究
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DENG Yaochen
Yaochen Deng obtained his PhD from Shanghai Jiaotong University in 2007 and then taught in Dalian Maritime University. He is currently professor of Linguistics in Dalian University of Foreign Languages. His research interests center around the application of Corpus Linguistics in Knowledge Discovery and foreign language teaching.
Corpus Linguistics Research in the Era of Artificial Intelligence
Abstract
The flourish of Artificial Intelligence (AI) pushes the development of Corpus Linguistics Research (CLR). In the past decade, a series of new and innovative AI techniques have been increasingly employed in corpus-based investigations, resulting in the progress of CLR from human examinations of a limited number of instances in a small corpus to automatic and intelligent analyses of a vast amount of authentic data by virtue of machine learning and deep learning. The development is particularly evident in the shift from counting the occurrence frequency of specific linguistic forms in the past to focusing on the variability of semantic meanings in different communicative situations. The presentation, on the basis of a brief review of common practice in corpus-based research, aims to illustrate the power and potentials of AI techniques in CLR by reporting on the results of a fine-grained investigation of language variation from a sociolinguistic perspective.
Key words: Corpus Linguistics Research, Artificial Intelligence, Language Variation, Machine Learning
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