Earticle

초록

영어

Natural language processing, as an integral part of artificial intelligence technology, has foundations in a variety of disciplines, including linguistics, computer science, and mathematics. Rapid advances in natural language processing provide solid backing for machine translation research. This document first sets out the key concepts and key points of computational linguistics, followed by a brief review of the history and progress of NLP research in the United States and abroad. The document then summarizes the three stages of machine translation as well as the current state of research. Historically, the advancement curves of natural language processing and machine translation have almost coincided, as well as the two complement each other. On this premise, the paper examines NLP applications in machine translation and highlights problems and trends in the fields of artificial intelligence. Finally, the authors examine the link between machine translation and human interpretation in the era of artificial intelligence and speculate on machine translations long term prospects.

목차

Abstract
I. INTRODUCTION
II. NATURAL LANGUAGE PROCESSING
III. MACHINE TRANSLATION
A. Rule-Based Translation
B. Neural Network Translation
C. Statistical Machine Translation
IV. CHALLENGES FACED BY NLP
V. CONCLUSION
REFERENCES

저자

• Muhammad Umar Nasir [ Riphah School of Computing and Innovations Riphah International University Lahore Lahore, Pakistan ]
• Ahmad Arsalan [ Riphah School of Computing and Innovations Riphah International University Lahore Lahore, Pakistan ]
• Muhammad Zahid Hussain [ Riphah School of Computing and Innovations Riphah International University Lahore Lahore, Pakistan ]
• Arif Wicaksono Septyanto [ School of Information System Duta Bangsa University Surakarta Indonesia ]

참고문헌