Challenges of Natural Language Processing from a Linguistic Perspective
DOI:
https://doi.org/10.54097/hyapye19Keywords:
Natural Language Processing; Linguistics; Artificial Intelligence; Machine Translation.Abstract
As the foundation of artificial intelligence, natural language processing is a research field with great development prospects, closely related to linguistics. Linguistic research has realized the initial natural language processing, and the development of natural language processing has raised higher requirements for linguistic research. Although natural language processing technology has achieved some results, there is still a distance from the most natural human-machine interaction. Language is the expression form of human thinking, and the fundamental purpose of artificial intelligence is to simulate human thinking with computers. To achieve this goal, it is necessary to start with simulating human natural language. This paper mainly analyzes the current challenges of natural language processing from a linguistic perspective, aiming to further improve the level of natural language processing.
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References
Feng Zhiwei. History and Current State of Natural Language Processing. Chinese Foreign Language, 2008, (01), 15.
Information on: blog.csdn.net/heyc861221/article/details/80130981
Zhang Le, Tang Liang. Opportunities and Challenges for Linguists in the Age of Artificial Intelligence. Computer Knowledge and Technology, 2020, 16(24), 197.
Wu Ge. Research on Semantic Problems from the Perspective of Artificial Intelligence (Academic Degree, Jilin University, China, 2021). 26.
Feng Zhiwei. History and Current Situation of Natural Language Processing. Chinese Foreign Language, 2008, (01), 37.
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