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International Journal of Linguistics, Literature and Translation
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Demystification of Artificial Intelligence Systems in Linguistic Intelligence and English Language Domains

Authors: Maitham Sarhan H. Alhamad;

Demystification of Artificial Intelligence Systems in Linguistic Intelligence and English Language Domains

Abstract

The term "artificial intelligence" was first coined by John McCarthy as "the science and engineering of making intelligent machines" in a document created for a conference on the campus of Dartmouth College in 1956. This conference kickstarted the beginning of serious AI research in the upcoming decades. The concept of Artificial Intelligence is not as modern as we think it is. This traces back to as early as 1950 when Alan Turing invented the Turing Test. Then, the first chat-box computer programmer, Eliza, was created in the 1960s. Indeed, in 2017, 61% of Europeans were positive about robotics and AI, while 30% were negative, to be managed carefully. The dynamics of public opposition and acceptance could be important factors shaping AI's long-term development path. The theoretical framework is that artificial intelligence could be viewed as an "overarching rubric which encompasses machine learning, which further encompasses deep learning." Rich and Knight (1991, p. 3) stated that "artificial intelligence (AI) is the study of how to make computers do things which, at the moment, people do better."

Keywords

Artificial intelligence, linguistic intelligence, computer programmes, computational linguistics, complex biological system, mindfulness ambiguities in AI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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