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Research on the Development Trends of Linguistics in the Age of Artificial Intelligence

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DOI: 10.23977/langl.2023.061201 | Downloads: 31 | Views: 482

Author(s)

Yiran Jia 1

Affiliation(s)

1 Hebei University of Technology, Tianjin, 300401, China

Corresponding Author

Yiran Jia

ABSTRACT

The purpose of this thesis is to explore the trends and impacts of the development of linguistics in the era of artificial intelligence. With the continuous progress and application of artificial intelligence technology, the research, analysis and application in the field of linguistics are also undergoing profound changes. This paper will explore the impact of artificial intelligence technology on linguistics and the future development trend from the perspectives of natural language processing, machine translation and so on. Through in-depth research and comprehensive analysis, this paper aims to reveal the innovations and challenges in the field of linguistics in the era of artificial intelligence, and provide guidance and reference for future research and application.

KEYWORDS

Artificial intelligence; Linguistics; Natural language processing; Machine translation

CITE THIS PAPER

Yiran Jia, Research on the Development Trends of Linguistics in the Age of Artificial Intelligence. Lecture Notes on Language and Literature (2023) Vol. 6: 1-8. DOI: http://dx.doi.org/10.23977/langl.2023.061201.

REFERENCES

[1] Benedikt W, Clemens W, Johannes S, et al. Correction: A smile is all you need: predicting limiting activity coefficients from SMILES with natural language processing [J]. Digital discovery, 2023, 2(1):859-869. 
[2] M K P, Zhendan S, Jimstan P, et al. Breaking the mould, a first parse at natural language processing in aspergillosis diagnosis [J]. Journal of thoracic disease, 2023, 15(1):17-21. 
[3] Douglas F, Lili C. Application of Natural Language Processing in Nephrology Research [J]. Clinical journal of the American Society of Nephrology, 2023 Jun 1; 18(6):806-808. 
[4] Varuna P, Dominique P, KajdacsyBalla C A A. The Artificially Intelligent Teacher: Applying Natural Language Processing to Critical Care Education [J]. ATS scholar, 2022, 3(4):505-508. 
[5] Sonali B, Bharanidharan S R, Joy G, et al. Evaluation of Bias in Medical Student Clinical Clerkship Evaluations Using Natural Language Processing [J]. Academic Medicine, 2022, 97(11S):S154. 
[6] V. E G, V. E B, A. F W. Discrimination and Suicidality among Hispanic Mental Health Patients, 2010–2020: A Natural Language Processing Approach [J]. Psychiatric Services, 2022, 73(11):1313-1314.

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