Evolution of Human-Machine Translation: From Early Interface to Modern AI

The evolution of Human-Machine Interaction (HMI) has been a transformative journey, marked by significant advancements in technology and a deepening understanding of user needs. This review paper explores the historical progression of HMI, tracing its origins from early mechanical and command-line interfaces to the sophisticated, AI-driven systems of today. By examining key milestones and technological breakthroughs, the paper highlights the transition from basic interaction models to more intuitive, adaptive, and user-centric designs. The review also discusses the impact of these developments on various industries, alongside the challenges and opportunities that have emerged in the quest for seamless human-machine collaboration. The paper concludes with insights into the future trajectory of HMI, emphasizing the potential of emerging technologies to further revolutionize the way humans interact with machines.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/nigercon62786.2024.10927385
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Evolution of Human-Machine Translation: From Early Interface to Modern AI

Yetunde Esther Ogunwale
Natural Language Processing Techniques
article

Evolution of Human-Machine Translation: From Early Interface to Modern AI

Yetunde Esther Ogunwale
article en

Abstract

The evolution of Human-Machine Interaction (HMI) has been a transformative journey, marked by significant advancements in technology and a deepening understanding of user needs. This review paper explores the historical progression of HMI, tracing its origins from early mechanical and command-line interfaces to the sophisticated, AI-driven systems of today. By examining key milestones and technological breakthroughs, the paper highlights the transition from basic interaction models to more intuitive, adaptive, and user-centric designs. The review also discusses the impact of these developments on various industries, alongside the challenges and opportunities that have emerged in the quest for seamless human-machine collaboration. The paper concludes with insights into the future trajectory of HMI, emphasizing the potential of emerging technologies to further revolutionize the way humans interact with machines.

Openalex Percentile: Top 74%
Natural Language Processing Techniques
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