Deficiencies and Upgrades in Artificial Intelligence Languages
DOI:
https://doi.org/10.54097/hset.v39i.6773Keywords:
Artificial Intelligence; Language; Intentionality; Natural Language.Abstract
In the era of artificial intelligence, people have started to have a lot of exposure to machine output language, such as online translation robot customer service, Siri, Microsoft Ice. However, these AI languages are still in the primary stage. Compared with human languages, AI languages still have many shortcomings, for example, lack of intentionality, lack of metaphorical ability. And people need to make some changes and improvements to make them reach a higher level of intelligence, so that AI languages can be closer to natural languages in various aspects, and AI products can better facilitate human production and life, as well as better serve society. This article is written around AI language, through the existing products of AI language as an example, analyzing AI language from different levels such as linguistics and philosophy, finding out the deficiencies of AI language and the aspects that need to be improved, and finally putting forward constructive opinions on how to make today's AI language reach a higher level of intelligence, that is, paying attention to the importance of metaphor in AI, and people should solve the problem of In order to solve the problem of "intelligence", the problem of "intelligence" needed to be solved first; people should not only deal with the problem of man and the world but also deal with the problem of man, nature and the imaginary world.
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References
Zhou Haizhong. Fifty years of machine translation. China Science News,2012.
Hao Yue. Talking about the complementary relationship between "online web machine translation" and "human translation.North China University of Technology,2019,2(2): 39-42.
Yang Qiong. Online translation quality text category differences: a comparative analysis based on manual measurement. Oriental Translation:54-66.
Na Tian. Applications and Challenges of Artificial Intelligence Technologies in Language Learning. Modern Information Technology.2019,3(19):109-110.
Yang Zhihui. Speech Assistant siri Language Proficiency Assessment in Linguistic Perspective. Computational Languages ,2022,6(6): 156-157.
Lu Weijing. The Ethical Dilemma Facing Artificial Intelligence Robots: The Case of "Microsoft Ice". Broadcasting Realm.2018.
Feng Man, Hu Dan. Focus on language and discrimination research to avoid artificial intelligence side effects. 2019.
Tao Feng. A Philosophical Interpretation of the Language of Artificial Intelligence.Nankai Journal (Philosophy and Social Science Edition),2019,3(9):78-86.
Zheng Wei, Yin Jiayi. Ideas and paths for linguistic research in the era of artificial intelligence. Journal Of East China Normal University.2022.
Dai Yibin. Thinking about Artificial Intelligence in the Perspective of Natural Language Understanding. Journal of Donghua University (Social Science Edition),2022,22(3):26-31.
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